Air Entrainment

Investigating Surface Entertainment Events Using CFD

전산유체역학을 이용한 표면 혼입 현상 연구

연구 목적

  • 본 논문은 CFD(전산유체역학) 기법을 활용하여 유체 표면에서 발생하는 혼입(surface entertainment) 현상을 분석함.
  • 자유 표면 유동에서 난류 및 난기류가 공기-액체 경계면에 미치는 영향을 연구함.
  • 기존 실험 데이터를 기반으로 CFD 모델의 정확성을 검증하고, 수치 해석이 실험적 접근을 대체할 수 있는 가능성을 평가함.
  • 표면 혼입 현상이 산업 및 환경 공정에서 가지는 의미를 논의함.

연구 방법

  1. 표면 혼입 모델링 및 실험 설정
    • 기존 문헌에서 보고된 실험 데이터를 바탕으로 수치 모델을 구축함.
    • 다양한 유량 조건에서 표면 혼입이 발생하는 메커니즘을 분석함.
    • 표면 장력과 난류 효과가 혼입 현상에 미치는 영향을 평가함.
  2. CFD 시뮬레이션 설정
    • VOF(Volume of Fluid) 기법을 사용하여 자유 표면 추적을 수행함.
    • 난류 모델로 RNG 방정식을 적용하여 난류 유동을 해석함.
    • 메쉬 독립성 연구를 통해 최적의 격자 크기를 설정함.
  3. 결과 비교 및 검증
    • 실험 데이터와 CFD 시뮬레이션 결과를 비교하여 모델의 신뢰성을 평가함.
    • 표면 혼입 발생 시 유체 속도, 와류 강도(vorticity), 기포 형성 등을 분석함.
    • 실험 및 시뮬레이션 간 오차율을 정량적으로 평가함.
  4. 추가 분석
    • 표면 장력과 유체 점도가 혼입 현상에 미치는 영향을 연구함.
    • 혼입이 활발하게 발생하는 특정 유동 조건을 도출함.
    • 산업 공정에서 CFD 기반 예측 모델의 적용 가능성을 검토함.

주요 결과

  1. 표면 혼입 발생 조건
    • 특정 유량 조건에서 표면 혼입이 급격히 증가하는 임계값이 존재함.
    • 난류 강도가 높을수록 표면 혼입이 활발해지며, 와류 구조가 기포 형성을 촉진함.
    • 표면 장력이 낮을수록 공기 혼입이 증가하며, 유체 점성이 높은 경우 혼입이 감소함.
  2. CFD 시뮬레이션 검증
    • CFD 모델이 실험 데이터와 90% 이상의 상관성을 보이며 신뢰성 높은 결과를 도출함.
    • 메쉬 해상도를 증가시킬수록 혼입 패턴 예측 정확도가 향상됨.
    • 표면 난류 효과가 과소 평가될 가능성이 있어, 추가적인 모델 조정이 필요함.
  3. 표면 장력 및 점도의 영향
    • 표면 장력이 높은 유체에서는 공기 혼입이 감소하며, 난류 효과가 억제됨.
    • 점성이 높은 유체는 혼입이 지연되며, 와류 구조가 약해짐.
    • 저점도 액체에서는 작은 난류 변동에도 공기 혼입이 쉽게 발생함.
  4. 산업적 적용 가능성
    • CFD 기반 혼입 분석은 화학공정, 수처리 및 해양 엔지니어링 분야에서 활용 가능함.
    • 실험 없이 수치 해석만으로 최적의 유동 조건을 예측하는 것이 가능함.
    • 향후 연구에서는 다중 유체 모델 및 기포 동역학을 포함한 추가 연구가 필요함.

결론

  • CFD를 이용한 표면 혼입 시뮬레이션이 높은 신뢰성을 보임.
  • 특정 유동 조건에서 공기 혼입이 급격히 증가하는 현상이 확인됨.
  • 표면 장력 및 점도가 혼입 발생에 중요한 영향을 미침.
  • 향후 연구에서는 다중 유체 모델을 추가하여 더욱 정밀한 예측이 필요함.

Reference

  1. FLOW-3D, www.flow3d.com
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  3. X. Dai, X. Yang, J. Campbell and J. Wood, Influence of Oxide Film Defects Generated inFilling on Mechanical Strength of Aluminium Alloy Castings, Materials Science andTechnology 20 (2004) 505-513.
  4. J. Campbell, Castings 2nd Edition (Butterworth Heinemann, 2003).
  5. J. Runyoro, S. M. A. Boutorabi and J. Campbell, Critical Gate Velocities for Film FormingCasting Alloys: A Basis for Specification, AFS Transactions 37 (1992) 225-234.
  6. C. Reilly, N. R. Green, M. R. Jolly and J. C. Gebelin, Using the Calculated Fr Number forQuality Assessment of Casting Filling Methods, Modelling of casting, welding andadvanced solidification process XII. (2009).
  7. M. R. Barkdudarov and C. W. Hirt, Tracking Defects,www.flow3d.com/pdfs/tp/cast_tp/FloSci-Bib9-98.pdf (1998).
  8. N. W. Lai, W. D. Griffiths and J. Campbell, Modelling of the Potential for Oxide FilmEntrainment in Light Metal Alloy Castings, Modelling of casting, welding and advancedsolidification process X. (2003) 415-422.
  9. C. E. Esparza, M. P. Guerrero-Mata and R. Z. Ríos-Mercado, Optimal Design of GatingSystems by Gradient Search Methods, Computational Materials Science 36 (2006) 457 -467.
  10. J. Campbell, Review of Computer Simulation Versus Casting Reality, Modelling of Casting,Welding and Advanced Solidification Processes VII (1995) 907-935.
  11. M. R. Jolly, S. W. Wen, A. Lapish, N. D. Butler, M. Wickins and J. Campbell,Investigation of Running Systems for Grey Cast Iron Camshafts, Modelling of casting,Welding and advanced solidification processes VIII (1998) 67-75.
  12. X. Yang, X. Huang, X. Dia, J. Campbell and J. Tatler, Numerical Modelling ofEntrainment of Oxide Film Defects in Filling Aluminium Alloy Castings, Internationaljournal of Cast Metals Research 17 (2004) 321-331.
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An investigation of the effect of the pulse width and amplitude on sand bed scouring by a vertical submerged pulsed jet

An investigation of the effect of the pulse width and amplitude on sand bed scouring by a vertical submerged pulsed jet

수직 수중 펄스 제트에 의한 모래층 정련에 대한 펄스 폭과 진폭의 영향 조사

Chuan Wang abc, Hao Yu b, Yang Yang b, Zhenjun Gao c, Bin Xi b, Hui Wang b, Yulong Yao b

aInternational Shipping Research Institute, GongQing Institute of Science and Technology, Jiujiang, 332020, ChinabCollege of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, 225009, ChinacCollege of Mechanical and Power Engineering, China Three Gorges University, Yichang, 443002, China

https://doi.org/10.1016/j.oceaneng.2024.117324

Highlights

  • Numerical simulations and experiments were combined to investigate pulsed jet scour.
  • The effect mechanism of pulse amplitude on the variation of scour hole depth was analyzed.
  • Models for the prediction of relative low pulse width with the inlet pulse amplitude have been developed.

Abstract

This paper investigates the effects of the pulse width and amplitude on the scouring of sand beds by vertical submerged pulsed jets using a combination of experimental and numerical calculations. The reliability of the numerical calculations is verified through a comparison between the numerical simulations with the sedimentation scour model and the experimental data at a low pulse width T2 of 0, with the result that the various errors are within 5%. The results show that the scour hole depth |hmin| grows with the relative low pulse width T3 throughout three intervals: a slowly increasing zone I, a rapidly increasing zone II, and a decreasing zone III, producing a unique extreme value of |hmin|. The optimal scouring effect equation was obtained by analytically fitting the relationship curve between the pulse amplitude V and the relatively low pulse width T3. Including the optimal T3 and optimal duty cycle ƞ. The difference in the scour hole depth |hmin| under different pulse amplitudes is reflected in the initial period F of the jet. With an increasing pulse amplitude, |hmin| goes through three intervals: an increasing zone M, decreasing zone N, and rebound zone R. It is found that the scouring effect in the pulse jet is not necessarily always stronger with a larger amplitude. The results of the research in this paper can provide guidance for optimizing low-frequency pulsed jets for related engineering practices, such as dredging and rock-breaking projects.

Introduction

Submerged jet scouring technology is widely used in marine engineering and dredging projects due to its high efficiency and low cost, and a wide range of research exists on the topic (Zhang et al., 2017; Thaha et al., 2018; Lourenço et al., 2020). Numerous scholars studied the scouring caused by different forms of jets, such as propeller jets (Curulli et al., 2023; Wei et al., 2020), plane jets (Sharafati et al., 2020; Mostaani and Azimi, 2022), free-fall jets (Salmasi and Abraham, 2022; Salmasi et al., 2023), and moving jets (Wang et al., 2021). Among them, vertical jets were more popular than inclined jets due to theirs simple equipment and good silt-scouring performance (Chen et al., 2023; Wang et al., 2017). So, a large number of scholars have proposed relevant static and dynamic empirical equations for the scour depth of submerged jets. Among them, Chen et al. (2022) and Mao et al. (2023) investigated the influence of jet diameters, jet angles, exit velocities, and impinging distances on scouring effects. Finally, based on a large amount of experimental data and theoretical analysis, a semi-empirical equation for the dynamic scour depth in equilibrium was established. Amin et al. (2021) developed semi-empirical prediction equations for asymptotic lengths and empirical equations for the temporal development of lengths. Shakya et al. (2021, 2022) found that the ANN model in dimensionless form performs better than the ANN model in dimensioned form and proposed an equation for predicting the depth of static scour under submerged vertical jets using MNLR. Kartal and Emiroglu (2021) proposed an empirical equation for predicting the maximum dynamic scour depth for a submerged vertical jet with a plate at the nozzle. The effect of soil properties on jet scour has also been studied by numerous scholars. Among them, Nguyen et al. (2017) investigated the effects of compaction dry density and water content on the scour volume, critical shear stress, linear scour coefficient, and volumetric scour coefficient using a new jet-scour test device. Dong et al. (2020) investigated the effect of water content on scour hole size through experiments with a vertical submerged jet scouring a cohesive sediment bed. It was found that the depth and width of the scour holes increased with the increasing water content of the cohesive sediments, and equations for the scour depth and width in the initial stage of scouring and the calculation of the scouring rate were proposed. Kartal and Emiroglu (2023) studied the scouring characteristics of different nozzle types produced in non-cohesive sands. The results of the study found that the air entrainment rate of venturi nozzles was 2–6.5 times higher than that of circular nozzles. Cihan et al. (2022) investigated the effect of different proportions of clay and sand on propeller water jet scouring. And finally, he proposed an estimation equation for the maximum depth and length of the scour hole under equilibrium conditions. From the above summary, it is clear that a great deal of research has been carried out on submerged jet scouring under continuous jet flows.

Pulsed jets have advantages such as higher erosion rates and entrainment rates compared to continuous jets and have therefore received more attention in the development of engineering fields such as cleaning and rock breaking (Raj et al., 2019; Zhu et al., 2019; Kang et al., 2022; Y. Zhang et al., 2023). In the study of jet structure, Li et al. (2018, 2019a, 2019b, 2023) investigated the effects of the jet hole diameter, the number of jet holes, the jet distance, and the tank pressure on pulse jet cleaning. It was found that the transient pressure below the injection hole gradually increased along the airflow direction of the injection pipe, and the peak positive pressure at the inner surface of the injection pipe also increased. Liu and Shen (2019) investigated the effect of a new venturi structure on the performance of pulse jet dust removal. It was found that the longer the length of the venturi or the shorter the throat diameter of the venturi, the greater the energy loss. Zhang et al. (2023b) studied jet scouring at different angles based on FLOW-3D. It was found that counter flow scouring is better than down flow scouring. In the study of pulsed structure, Li et al. (2020) investigated the effects of different pulse amplitudes, pulse frequencies, and circumferential pressures on the rock-breaking performance. It was found that the rock-breaking performance of the jet increased with increasing pulse amplitude. However, due to the variation in pulse frequency, the rock-breaking performance does not show a clear pattern. The effect of Reynolds number on pulsating jets impinging on a plane was systematically investigated by H. H Medina et al. (2013) It was found that pulsation leads to a shorter core region of the jet, a faster decrease in the centerline axial velocity component, and a wider axial velocity distribution. Bi and Zhu (2021) investigated the effect of nozzle geometry on jet performance at low Reynolds numbers, while Luo et al. (2020) studied pulse jet propulsion at high Reynolds numbers and finally found that higher Reynolds numbers accelerate the formation of irregular vortices and symmetry-breaking instabilities. Cao et al. (2019) investigated the effect of four different pulse flushing methods on diamond core drilling efficiency. It was found that the use of intermittent rinsing methods not only increases penetration rates but also reduces rinse fluid flow and saves power.

Previous research on vertical submerged jet scouring has primarily focused on the effect of jet structure on scouring under continuous jet conditions. However, there have been fewer studies conducted on scouring under pulsed jet conditions. We found that the pulsed jet has a high erosion rate and entrainment rate, which can significantly enhance the scouring effect of the jet. Therefore, to address the research gap, this paper utilizes a combination of numerical calculations and experiments to investigate the effects of high pulse width, low pulse width, and amplitude on the scouring of vertically submerged jets. The study includes analyzing the structure of the pulsed jet flow field, studying the evolution of the scouring effect over time, and examining the relationship between the optimal pulse width, duty cycle, and amplitude. The study’s conclusions of the study can provide a reference for optimizing the performance of pulse jets in the fields of jet scouring applications, such as dredger dredging and pulse rock breaking, as well as a theoretical basis for the development of submerged pulse jets.

Section snippets

Model and calculation settings

Fig. 1 shows the geometric model of the submerged vertical jet impinging on the sand bed, which was built in Flow-3D on a 1:1 dimensional scale corresponding to the experiment. The jet scour simulation was set up between four baffles, where the top baffle was used to ensure that the jet entered only from the brass tube, and the remaining three tank baffles were used to fix the sediment and water body. The computational domain consisted of only solid and liquid components, with the specific

The effects of the pulse width on submerged jet scouring

The blocking pulsed jet, indicated as A and C in Fig. 8(a)–is discontinuous and divided into a water section and a pulse interval section. The water section in region A is not a regular shape, due to part of the water section near the side wall being affected by the wall friction and the falling speed being lower, but this also shows that the wall plays a certain buffer role. Region B of Fig. 8(a) shows the symmetrical vortex generation that occurs below the nozzle as the water section is

conclusions

In this paper, the effects of the pulse width and pulse amplitude on jet scour under submerged low-frequency pulse conditions are discussed and investigated, and the following conclusions have been reached.

  • (1)The errors of between the Flow-3D simulation and the experimental measurements were within 5%, which proves that the sedimentation scouring model of Flow-3D can reliably perform numerical calculation of the type considered in this paper.
  • (2)The change in the high pulse width T1 in the pulse cycle 

CRediT authorship contribution statement

Chuan Wang: Data curation, Conceptualization. Hao Yu: Writing – original draft. Yang Yang: Writing – review & editing, Supervision. Zhenjun Gao: Supervision, Writing – review & editing. Bin Xi: Resources, Project administration. Hui Wang: Software, Data curation. Yulong Yao: Validation, Software.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References (44)

Estimating maximum initial wave amplitude of subaerial landslide tsunamis: A three-dimensional modelling approach

Estimating maximum initial wave amplitude of subaerial landslide tsunamis: A three-dimensional modelling approach

해저 산사태 쓰나미의 최대 초기 파동 진폭 추정: 3차원 모델링 접근법

Ramtin Sabeti a, Mohammad Heidarzadeh ab

aDepartment of Architecture and Civil Engineering, University of Bath, Bath BA27AY, UK
bHydroCoast Consulting Engineers Ltd, Bath, UK

https://doi.org/10.1016/j.ocemod.2024.102360

Highlights

  • •Landslide travel distance is considered for the first time in a predictive equation.
  • •Predictive equation derived from databases using 3D physical and numerical modeling.
  • •The equation was successfully tested on the 2018 Anak Krakatau tsunami event.
  • •The developed equation using three-dimensional data exhibits a 91 % fitting quality.

Abstract

Landslide tsunamis, responsible for thousands of deaths and significant damage in recent years, necessitate the allocation of sufficient time and resources for studying these extreme natural hazards. This study offers a step change in the field by conducting a large number of three-dimensional numerical experiments, validated by physical tests, to develop a predictive equation for the maximum initial amplitude of tsunamis generated by subaerial landslides. We first conducted a few 3D physical experiments in a wave basin which were then applied for the validation of a 3D numerical model based on the Flow3D-HYDRO package. Consequently, we delivered 100 simulations using the validated model by varying parameters such as landslide volume, water depth, slope angle and travel distance. This large database was subsequently employed to develop a predictive equation for the maximum initial tsunami amplitude. For the first time, we considered travel distance as an independent parameter for developing the predictive equation, which can significantly improve the predication accuracy. The predictive equation was tested for the case of the 2018 Anak Krakatau subaerial landslide tsunami and produced satisfactory results.

Keywords

Tsunami, Subaerial landslide, Physical modelling, Numerical simulation, FLOW-3D HYDRO

1. Introduction and literature review

The Anak Krakatau landslide tsunami on 22nd December 2018 was a stark reminder of the dangers posed by subaerial landslide tsunamis (Ren et al., 2020; Mulia et al. 2020a; Borrero et al., 2020; Heidarzadeh et al., 2020; Grilli et al., 2021). The collapse of the volcano’s southwest side into the ocean triggered a tsunami that struck the Sunda Strait, leading to approximately 450 fatalities (Syamsidik et al., 2020; Mulia et al., 2020b) (Fig. 1). As shown in Fig. 1, landslide tsunamis (both submarine and subaerial) have been responsible for thousands of deaths and significant damage to coastal communities worldwide. These incidents underscored the critical need for advanced research into landslide-generated waves to aid in hazard prediction and mitigation. This is further emphasized by recent events such as the 28th of November 2020 landslide tsunami in the southern coast mountains of British Columbia (Canada), where an 18 million m3 rockslide generated a massive tsunami, with over 100 m wave run-up, causing significant environmental and infrastructural damage (Geertsema et al., 2022).

Fig 1

Physical modelling and numerical simulation are crucial tools in the study of landslide-induced waves due to their ability to replicate and analyse the complex dynamics of landslide events (Kim et al., 2020). In two-dimensional (2D) modelling, the discrepancy between dimensions can lead to an artificial overestimation of wave amplification (e.g., Heller and Spinneken, 2015). This limitation is overcome with 3D modelling, which enables the scaled-down representation of landslide-generated waves while avoiding the simplifications inherent in 2D approaches (Erosi et al., 2019). Another advantage of 3D modelling in studying landslide-generated waves is its ability to accurately depict the complex dynamics of wave propagation, including lateral and radial spreading from the slide impact zone, a feature unattainable with 2D models (Heller and Spinneken, 2015).

Physical experiments in tsunami research, as presented by authors such as Romano et al. (2020), McFall and Fritz (2016), and Heller and Spinneken (2015), have supported 3D modelling works through validation and calibration of the numerical models to capture the complexities of wave generation and propagation. Numerical modelling has increasingly complemented experimental approach in tsunami research due to the latter’s time and resource-intensive nature, particularly for 3D models (Li et al., 2019; Kim et al., 2021). Various numerical approaches have been employed, from Eulerian and Lagrangian frameworks to depth-averaged and Navier–Stokes models, enhancing our understanding of tsunami dynamics (Si et al., 2018; Grilli et al., 2019; Heidarzadeh et al., 2017, 2020; Iorio et al., 2021; Zhang et al., 2021; Kirby et al., 2022; Wang et al., 2021, 2022; Hu et al., 2022). The sophisticated numerical techniques, including the Particle Finite Element Method and the Immersed Boundary Method, have also shown promising results in modelling highly dynamic landslide scenarios (Mulligan et al., 2020; Chen et al., 2020). Among these methods and techniques, FLOW-3D HYDRO stands out in simulating landslide-generated tsunami waves due to its sophisticated technical features such as offering Tru Volume of Fluid (VOF) method for precise free surface tracking (e.g., Sabeti and Heidarzadeh 2022a). TruVOF distinguishes itself through a split Lagrangian approach, adeptly reducing cumulative volume errors in wave simulations by dynamically updating cell volume fractions and areas with each time step. Its intelligent adaptation of time step size ensures precise capture of evolving free surfaces, offering unparalleled accuracy in modelling complex fluid interfaces and behaviour (Flow Science, 2023).

Predictive equations play a crucial role in assessing the potential hazards associated with landslide-generated tsunami waves due to their ability to provide risk assessment and warnings. These equations can offer swift and reasonable evaluations of potential tsunami impacts in the absence of detailed numerical simulations, which can be time-consuming and expensive to produce. Among multiple factors and parameters within a landslide tsunami generation, the initial maximum wave amplitude (Fig. 1) stands out due to its critical role. While it is most likely that the initial wave generated by a landslide will have the highest amplitude, it is crucial to clarify that the term “initial maximum wave amplitude” refers to the highest amplitude within the first set of impulse waves. This parameter is essential in determining the tsunami’s impact severity, with higher amplitudes signalling a greater destructive potential (Sabeti and Heidarzadeh 2022a). Additionally, it plays a significant role in tsunami modelling, aiding in the prediction of wave propagation and the assessment of potential impacts.

In this study, we initially validate the FLOW-3D HYDRO model through a series of physical experiments conducted in a 3D wave tank at University of Bath (UK). Upon confirmation of the model’s accuracy, we use it to systematically vary parameters namely landslide volume, water depth, slope angle, and travel distance, creating an extensive database. Alongside this, we perform a sensitivity analysis on these variables to discern their impacts on the initial maximum wave amplitude. The generated database was consequently applied to derive a non-dimensional predictive equation aimed at estimating the initial maximum wave amplitude in real-world landslide tsunami events.

Two innovations of this study are: (i) The predictive equation of this study is based on a large number of 3D experiments whereas most of the previous equations were based on 2D results, and (ii) For the first time, the travel distance is included in the predictive equation as an independent parameter. To evaluate the performance of our predictive equation, we applied it to a previous real-world subaerial landslide tsunami, i.e., the Anak Krakatau 2018 event. Furthermore, we compare the performance of our predictive equation with other existing equations.

2. Data and methods

The methodology applied in this research is a combination of physical and numerical modelling. Limited physical modelling was performed in a 3D wave basin at the University of Bath (UK) to provide data for calibration and validation of the numerical model. After calibration and validation, the numerical model was employed to model a large number of landslide tsunami scenarios which allowed us to develop a database for deriving a predictive equation.

2.1. Physical experiments

To validate our numerical model, we conducted a series of physical experiments including two sets in a 3D wave basin at University of Bath, measuring 2.50 m in length (WL), 2.60 m in width (WW), and 0.60 m in height (WH) (Fig. 2a). Conducting two distinct sets of experiments (Table 1), each with different setups (travel distance, location, and water depth), provided a robust framework for validation of the numerical model. For wave measurement, we employed a twin wire wave gauge from HR Wallingford (https://equipit.hrwallingford.com). In these experiments, we used a concrete prism solid block, the dimensions of which are outlined in Table 2. In our experiments, we employed a concrete prism solid block with a density of 2600 kg/m3, chosen for its similarity to the natural density of landslides, akin to those observed with the 2018 Anak Krakatau tsunami, where the landslide composition is predominantly solid rather than granular. The block’s form has also been endorsed in prior studies (Watts, 1998; Najafi-Jilani and Ataie-Ashtiani, 2008) as a suitable surrogate for modelling landslide-induced waves. A key aspect of our methodology was addressing scale effects, following the guidelines proposed by Heller et al. (2008) as it is described in Table 1. To enhance the reliability and accuracy of our experimental data, we conducted each physical experiment three times which revealed all three experimental waveforms were identical. This repetition was aimed at minimizing potential errors and inconsistencies in laboratory measurements.

Fig 2

Table 1. The locations and other information of the laboratory setups for making landslide-generated waves in the physical wave basin. This table details the specific parameters for each setup, including slope range (α), slide volume (V), kinematic viscosity (ν), water depth (h), travel distance (D), surface tension coefficient of water (σ), Reynolds number (R), Weber number (W), and the precise coordinates of the wave gauges (WG).

Labα(°)V (m³)h (m)D (m)WG’s Location(ν) (m²/s)(σ) (N/m)Acceptable range for avoiding scale effects*Observed values of W and R ⁎⁎
Lab 1452.60 × 10−30.2470.070X1=1.090 m1.01 × 10−60.073R > 3.0 × 105R1 = 3.80 × 105
Y1=1.210 m
W1 = 8.19 × 105
Z1=0.050mW >5.0 × 103
Lab 2452.60 × 10−30.2460.045X2=1.030 m1.01 × 10−60.073R2 = 3.78 × 105
Y2=1.210 mW2 = 8.13 × 105
Z2=0.050 m

⁎

The acceptable ranges for avoiding scale effects are based on the study by Heller et al. (2008).⁎⁎

The Reynolds number (R) is given by g0.5h1.5/ν, with ν denoting the kinematic viscosity. The Weber number (W) is W = ρgh2/σ, where σ represents surface tension coefficient and ρ = 1000kg/m3 is the density of water. In our experiments, conducted at a water temperature of approximately 20 °C, the kinematic viscosity (ν) and the surface tension coefficient of water (σ) are 1.01 × 10−6 m²/s and 0.073 N/m, respectively (Kestin et al., 1978).

Table 2. Specifications of the solid block used in physical experiments for generating subaerial landslides in the laboratory.

Solid-block attributesProperty metricsGeometric shape
Slide width (bs)0.26 mImage, table 2
Slide length (ls)0.20 m
Slide thickness (s)0.10 m
Slide volume (V)2.60 × 10−3 m3
Specific gravity, (γs)2.60
Slide weight (ms)6.86 kg

2.2. Numerical simulations applying FLOW-3D hydro

The detailed theoretical framework encompassing the governing equations, the computational methodologies employed, and the specific techniques used for tracking the water surface in these simulations are thoroughly detailed in the study by Sabeti et al. (2024). Here, we briefly explain some of the numerical details. We defined a uniform mesh for our flow domain, carefully crafted with a fine spatial resolution of 0.005 m (i.e., grid size). The dimensions of the numerical model directly matched those of our wave basin used in the physical experiment, being 2.60 m wide, 0.60 m deep, and 2.50 m long (Fig. 2). This design ensures comprehensive coverage of the study area. The output intervals of the numerical model are set at 0.02 s. This timing is consistent with the sampling rates of wave gauges used in laboratory settings. The friction coefficient in the FLOW-3D HYDRO is designated as 0.45. This value corresponds to the Coulombic friction measurements obtained in the laboratory, ensuring that the simulation accurately reflects real-world physical interactions.

In order to simulate the landslide motion, we applied coupled motion objects in FLOW-3D-HYDRO where the dynamics are predominantly driven by gravity and surface friction. This methodology stands in contrast to other models that necessitate explicit inputs of force and torque. This approach ensures that the simulation more accurately reflects the natural movement of landslides, which is heavily reliant on gravitational force and the interaction between sliding surfaces. The stability of the numerical simulations is governed by the Courant Number criterion (Courant et al., 1928), which dictates the maximum time step (Δt) for a given mesh size (Δx) and flow speed (U). According to Courant et al. (1928), this number is required to stay below one to ensure stability of numerical simulations. In our simulations, the Courant number is always maintained below one.

In alignment with the parameters of physical experiments, we set the fluid within the mesh to water, characterized by a density of 1000 kg/m³ at a temperature of 20 °C. Furthermore, we defined the top, front, and back surfaces of the mesh as symmetry planes. The remaining surfaces are designated as wall types, incorporating no-slip conditions to accurately simulate the interaction between the fluid and the boundaries. In terms of selection of an appropriate turbulence model, we selected the k–ω model that showed a better performance than other turbulence methods (e.g., Renormalization-Group) in a previous study (Sabeti et al., 2024). The simulations are conducted using a PC Intel® Core™ i7-10510U CPU with a frequency of 1.80 GHz, and a 16 GB RAM. On this PC, completion of a 3-s simulation required approximately 12.5 h.

2.3. Validation

The FLOW-3D HYDRO numerical model was validated using the two physical experiments (Fig. 3) outlined in Table 1. The level of agreement between observations (Oi) and simulations (Si) is examined using the following equation:(1)�=|��−����|×100where ε represents the mismatch error, Oi denotes the observed laboratory values, and Si represents the simulated values from the FLOW-3D HYDRO model. The results of this validation process revealed that our model could replicate the waves generated in the physical experiments with a reasonable degree of mismatch (ε): 14 % for Lab 1 and 8 % for Lab 2 experiments, respectively (Fig. 3). These values indicate that while the model is not perfect, it provides a sufficiently close approximation of the real-world phenomena.

Fig 3

In terms of mesh efficiency, we varied the mesh size to study sensitivity of the numerical results to mesh size. First, by halving the mesh size and then by doubling it, we repeated the modelling by keeping other parameters unchanged. This analysis guided that a mesh size of ∆x = 0.005 m is the most effective for the setup of this study. The total number of computational cells applying mesh size of 0.005 m is 9.269 × 106.

2.4. The dataset

The validated numerical model was employed to conduct 100 simulations, incorporating variations in four key landslide parameters namely water depth, slope angle, slide volume, and travel distance. This methodical approach was essential for a thorough sensitivity analysis of these variables, and for the creation of a detailed database to develop a predictive equation for maximum initial tsunami amplitude. Within the model, 15 distinct slide volumes were established, ranging from 0.10 × 10−3 m3 to 6.25 × 10−3 m3 (Table 3). The slope angle varied between 35° and 55°, and water depth ranged from 0.24 m to 0.27 m. The travel distance of the landslides was varied, spanning from 0.04 m to 0.07 m. Detailed configurations of each simulation, along with the maximum initial wave amplitudes and dominant wave periods are provided in Table 4.

Table 3. Geometrical information of the 15 solid blocks used in numerical modelling for generating landslide tsunamis. Parameters are: ls, slide length; bs, slide width; s, slide thickness; γs, specific gravity; and V, slide volume.

Solid blockls (m)bs (m)s (m)V (m3)γs
Block-10.3100.2600.1556.25 × 10−32.60
Block-20.3000.2600.1505.85 × 10−32.60
Block-30.2800.2600.1405.10 × 10−32.60
Block-40.2600.2600.1304.39 × 10−32.60
Block-50.2400.2600.1203.74 × 10−32.60
Block-60.2200.2600.1103.15 × 10−32.60
Block-70.2000.2600.1002.60 × 10−32.60
Block-80.1800.2600.0902.11 × 10−32.60
Block-90.1600.2600.0801.66 × 10−32.60
Block-100.1400.2600.0701.27 × 10−32.60
Block-110.1200.2600.0600.93 × 10−32.60
Block-120.1000.2600.0500.65 × 10−32.60
Block-130.0800.2600.0400.41 × 10−32.60
Block-140.0600.2600.0300.23 × 10−32.60
Block-150.0400.2600.0200.10 × 10−32.60

Table 4. The numerical simulation for the 100 tests performed in this study for subaerial solid-block landslide-generated waves. Parameters are aM, maximum wave amplitude; α, slope angle; h, water depth; D, travel distance; and T, dominant wave period. The location of the wave gauge is X=1.030 m, Y=1.210 m, and Z=0.050 m. The properties of various solid blocks are presented in Table 3.

Test-Block Noα (°)h (m)D (m)T(s)aM (m)
1Block-7450.2460.0290.5100.0153
2Block-7450.2460.0300.5050.0154
3Block-7450.2460.0310.5050.0156
4Block-7450.2460.0320.5050.0158
5Block-7450.2460.0330.5050.0159
6Block-7450.2460.0340.5050.0160
7Block-7450.2460.0350.5050.0162
8Block-7450.2460.0360.5050.0166
9Block-7450.2460.0370.5050.0167
10Block-7450.2460.0380.5050.0172
11Block-7450.2460.0390.5050.0178
12Block-7450.2460.0400.5050.0179
13Block-7450.2460.0410.5050.0181
14Block-7450.2460.0420.5050.0183
15Block-7450.2460.0430.5050.0190
16Block-7450.2460.0440.5050.0197
17Block-7450.2460.0450.5050.0199
18Block-7450.2460.0460.5050.0201
19Block-7450.2460.0470.5050.0191
20Block-7450.2460.0480.5050.0217
21Block-7450.2460.0490.5050.0220
22Block-7450.2460.0500.5050.0226
23Block-7450.2460.0510.5050.0236
24Block-7450.2460.0520.5050.0239
25Block-7450.2460.0530.5100.0240
26Block-7450.2460.0540.5050.0241
27Block-7450.2460.0550.5050.0246
28Block-7450.2460.0560.5050.0247
29Block-7450.2460.0570.5050.0248
30Block-7450.2460.0580.5050.0249
31Block-7450.2460.0590.5050.0251
32Block-7450.2460.0600.5050.0257
33Block-1450.2460.0450.5050.0319
34Block-2450.2460.0450.5050.0294
35Block-3450.2460.0450.5050.0282
36Block-4450.2460.0450.5050.0262
37Block-5450.2460.0450.5050.0243
38Block-6450.2460.0450.5050.0223
39Block-7450.2460.0450.5050.0196
40Block-8450.2460.0450.5050.0197
41Block-9450.2460.0450.5050.0198
42Block-10450.2460.0450.5050.0184
43Block-11450.2460.0450.5050.0173
44Block-12450.2460.0450.5050.0165
45Block-13450.2460.0450.4040.0153
46Block-14450.2460.0450.4040.0124
47Block-15450.2460.0450.5050.0066
48Block-7450.2020.0450.4040.0220
49Block-7450.2040.0450.4040.0219
50Block-7450.2060.0450.4040.0218
51Block-7450.2080.0450.4040.0217
52Block-7450.2100.0450.4040.0216
53Block-7450.2120.0450.4040.0215
54Block-7450.2140.0450.5050.0214
55Block-7450.2160.0450.5050.0214
56Block-7450.2180.0450.5050.0213
57Block-7450.2200.0450.5050.0212
58Block-7450.2220.0450.5050.0211
59Block-7450.2240.0450.5050.0208
60Block-7450.2260.0450.5050.0203
61Block-7450.2280.0450.5050.0202
62Block-7450.2300.0450.5050.0201
63Block-7450.2320.0450.5050.0201
64Block-7450.2340.0450.5050.0200
65Block-7450.2360.0450.5050.0199
66Block-7450.2380.0450.4040.0196
67Block-7450.2400.0450.4040.0194
68Block-7450.2420.0450.4040.0193
69Block-7450.2440.0450.4040.0192
70Block-7450.2460.0450.5050.0190
71Block-7450.2480.0450.5050.0189
72Block-7450.2500.0450.5050.0187
73Block-7450.2520.0450.5050.0187
74Block-7450.2540.0450.5050.0186
75Block-7450.2560.0450.5050.0184
76Block-7450.2580.0450.5050.0182
77Block-7450.2590.0450.5050.0183
78Block-7450.2600.0450.5050.0191
79Block-7450.2610.0450.5050.0192
80Block-7450.2620.0450.5050.0194
81Block-7450.2630.0450.5050.0195
82Block-7450.2640.0450.5050.0195
83Block-7450.2650.0450.5050.0197
84Block-7450.2660.0450.5050.0197
85Block-7450.2670.0450.5050.0198
86Block-7450.2700.0450.5050.0199
87Block-7300.2460.0450.5050.0101
88Block-7350.2460.0450.5050.0107
89Block-7360.2460.0450.5050.0111
90Block-7370.2460.0450.5050.0116
91Block-7380.2460.0450.5050.0117
92Block-7390.2460.0450.5050.0119
93Block-7400.2460.0450.5050.0121
94Block-7410.2460.0450.5050.0127
95Block-7420.2460.0450.4040.0154
96Block-7430.2460.0450.4040.0157
97Block-7440.2460.0450.4040.0162
98Block-7450.2460.0450.5050.0197
99Block-7500.2460.0450.5050.0221
100Block-7550.2460.0450.5050.0233

In all these 100 simulations, the wave gauge was consistently positioned at coordinates X=1.09 m, Y=1.21 m, and Z=0.05 m. The dominant wave period for each simulation was determined using the Fast Fourier Transform (FFT) function in MATLAB (MathWorks, 2023). Furthermore, the classification of wave types was carried out using a wave categorization graph according to Sorensen (2010), as shown in Fig. 4a. The results indicate that the majority of the simulated waves are on the border between intermediate and deep-water waves, and they are categorized as Stokes waves (Fig. 4a). Four sample waveforms from our 100 numerical experiments are provided in Fig. 4b.

Fig 4

The dataset in Table 4 was used to derive a new predictive equation that incorporates travel distance for the first time to estimate the initial maximum tsunami amplitude. In developing this equation, a genetic algorithm optimization technique was implemented using MATLAB (MathWorks 2023). This advanced approach entailed the use of genetic algorithms (GAs), an evolutionary algorithm type inspired by natural selection processes (MathWorks, 2023). This technique is iterative, involving selection, crossover, and mutation processes to evolve solutions over several generations. The goal was to identify the optimal coefficients and powers for each landslide parameter in the predictive equation, ensuring a robust and reliable model for estimating maximum wave amplitudes. Genetic Algorithms excel at optimizing complex models by navigating through extensive combinations of coefficients and exponents. GAs effectively identify highly suitable solutions for the non-linear and complex relationships between inputs (e.g., slide volume, slope angle, travel distance, water depth) and the output (i.e., maximum initial wave amplitude, aM). MATLAB’s computational environment enhances this process, providing robust tools for GA to adapt and evolve solutions iteratively, ensuring the precision of the predictive model (Onnen et al., 1997). This approach leverages MATLAB’s capabilities to fine-tune parameters dynamically, achieving an optimal equation that accurately estimates aM. It is important to highlight that the nondimensionalized version of this dataset is employed to develop a predictive equation which enables the equation to reproduce the maximum initial wave amplitude (aM) for various subaerial landslide cases, independent of their dimensional differences (e.g., Heler and Hager 2014; Heller and Spinneken 2015; Sabeti and Heidarzadeh 2022b). For this nondimensionalization, we employed the water depth (h) to nondimensionalize the slide volume (V/h3) and travel distance (D/h). The slide thickness (s) was applied to nondimensionalize the water depth (h/s).

2.5. Landslide velocity

In discussing the critical role of landslide velocity for simulating landslide-generated waves, we focus on the mechanisms of landslide motion and the techniques used to record landslide velocity in our simulations (Fig. 5). Also, we examine how these methods were applied in two distinct scenarios: Lab 1 and Lab 2 (see Table 1 for their details). Regarding the process of landslide movement, a slide starts from a stationary state, gaining momentum under the influence of gravity and this acceleration continues until the landslide collides with water, leading to a significant reduction in its speed before eventually coming to a stop (Fig. 5) (e.g., Panizzo et al. 2005).

Fig 5

To measure the landslide’s velocity in our simulations, we attached a probe at the centre of the slide, which supplied a time series of the velocity data. The slide’s velocity (vs) peaks at the moment it enters the water (Fig. 5), a point referred to as the impact time (tImp). Following this initial impact, the slides continue their underwater movement, eventually coming to a complete halt (tStop). Given the results in Fig. 5, it can be seen that Lab 1, with its longer travel distance (0.070 m), exhibits a higher peak velocity of 1.89 m/s. This increase in velocity is attributed to the extended travel distance allowing more time for the slide to accelerate under gravity. Whereas Lab 2, featuring a shorter travel distance (0.045 m), records a lower peak velocity of 1.78 m/s. This difference underscores how travel distance significantly influences the dynamics of landslide motion. After reaching the peak, both profiles show a sharp decrease in velocity, marking the transition to submarine motion until the slides come to a complete stop (tStop). There are noticeable differences observable in Fig. 5 between the Lab-1 and Lab-2 simulations, including the peaks at 0.3 s . These variations might stem from the placement of the wave gauge, which differs slightly in each scenario, as well as the water depth’s minor discrepancies and, the travel distance.

2.6. Effect of air entrainment

In this section we examine whether it is required to consider air entrainment for our modelling or not as the FLOW-3D HYDRO package is capable of modelling air entrainment. The process of air entrainment in water during a landslide tsunami and its subsequent transport involve two key components: the quantification of air entrainment at the water surface, and the simulation of the air’s transport within the fluid (Hirt, 2003). FLOW-3D HYDRO employs the air entrainment model to compute the volume of air entrained at the water’s surface utilizing three approaches: a constant density model, a variable density model accounting for bulking, and a buoyancy model that adds the Drift-FLUX mechanism to variable density conditions (Flow Science, 2023). The calculation of the entrainment rate is based on the following equation:(2)�������=������[2(��−�����−2�/���)]1/2where parameters are: Vair, volume of air; Cair, entrainment rate coefficient; As, surface area of fluid; ρ, fluid density; k, turbulent kinetic energy; gn, gravity normal to surface; Lt, turbulent length scale; and σ, surface tension coefficient. The value of k is directly computed from the Reynolds-averaged Navier-Stokes (RANS) (k–w) calculations in our model.

In this study, we selected the variable density + Drift-FLUX model, which effectively captures the dynamics of phase separation and automatically activates the constant density and variable density models. This method simplifies the air-water mixture, treating it as a single, homogeneous fluid within each computational cell. For the phase volume fractions f1and f2​, the velocities are expressed in terms of the mixture and relative velocities, denoted as u and ur, respectively, as follows:(3)��1��+�.(�1�)=��1��+�.(�1�)−�.(�1�2��)=0(4)��2��+�.(�2�)=��2��+�.(�2�)−�.(�1�2��)=0

The outcomes from this simulation are displayed in Fig. 6, which indicates that the influence of air entrainment on the generated wave amplitude is approximately 2 %. A value of 0.02 for the entrained air volume fraction means that, in the simulated fluid, approximately 2 % of the volume is composed of entrained air. In other words, for every unit volume of the fluid-air mixture at that location, 2 % is air and the remaining 98 % is water. The configuration of Test-17 (Table 4) was employed for this simulation. While the effect of air entrainment is anticipated to be more significant in models of granular landslide-generated waves (Fritz, 2002), in our simulations we opted not to incorporate this module due to its negligible impact on the results.

Fig 6

3. Results

In this section, we begin by presenting a sequence of our 3D simulations capturing different time steps to illustrate the generation process of landslide-generated waves. Subsequently, we derive a new predictive equation to estimate the maximum initial wave amplitude of landslide-generated waves and assess its performance.

3.1. Wave generation and propagation

To demonstrate the wave generation process in our simulation, we reference Test-17 from Table 4, where we employed Block-7 (Tables 3, 4). In this configuration, the slope angle was set to 45°, with a water depth of 0.246 m and a travel distance at 0.045 m (Fig. 7). At 0.220 s, the initial impact of the moving slide on the water is depicted, marking the onset of the wave generation process (Fig. 7a). Disturbances are localized to the immediate area of impact, with the rest of the water surface remaining undisturbed. At this time, a maximum water particle velocity of 1.0 m/s – 1.2 m/s is seen around the impact zone (Fig. 7d). Moving to 0.320 s, the development of the wave becomes apparent as energy transfer from the landslide to the water creates outwardly radiating waves with maximum water particle velocity of up to around 1.6 m/s – 1.8 m/s (Fig. 7b, e). By the time 0.670 s, the wave has fully developed and is propagating away from the impact point exhibiting maximum water particle velocity of up to 2.0 m/s – 2.1 m/s. Concentric wave fronts are visible, moving outwards in all directions, with a colour gradient signifying the highest wave amplitude near the point of landslide entry, diminishing with distance (Fig. 7c, f).

Fig 7

3.2. Influence of landslide parameters on tsunami amplitude

In this section, we investigate the effects of various landslide parameters namely slide volume (V), water depth (h), slipe angle (α) and travel distance (D) on the maximum initial wave amplitude (aM). Fig. 8 presents the outcome of these analyses. According to Fig. 8, the slide volume, slope angle, and travel distance exhibit a direct relationship with the wave amplitude, meaning that as these parameters increase, so does the amplitude. Conversely, water depth is inversely related to the maximum initial wave amplitude, suggesting that the deeper the water depth, the smaller the maximum wave amplitude will be (Fig. 8b).

Fig 8

Fig. 8a highlights the pronounced impact of slide volume on the aM, demonstrating a direct correlation between the two variables. For instance, in the range of slide volumes we modelled (Fig. 8a), The smallest slide volume tested, measuring 0.10 × 10−3 m3, generated a low initial wave amplitude (aM= 0.0066 m) (Table 4). In contrast, the largest volume tested, 6.25 × 10−3 m3, resulted in a significantly higher initial wave amplitude (aM= 0.0319 m) (Table 4). The extremities of these results emphasize the slide volume’s paramount impact on wave amplitude, further elucidated by their positions as the smallest and largest aM values across all conducted tests (Table 4). This is corroborated by findings from the literature (e.g., Murty, 2003), which align with the observed trend in our simulations.

The slope angle’s influence on aM was smooth. A steady increase of wave amplitude was observed as the slope angle increased (Fig. 8c). In examining travel distance, an anomaly was identified. At a travel distance of 0.047 m, there was an unexpected dip in aM, which deviates from the general increasing trend associated with longer travel distances. This singular instance could potentially be attributed to a numerical error. Beyond this point, the expected pattern of increasing aM with longer travel distances resumes, suggesting that the anomaly at 0.047 m is an outlier in an otherwise consistent trend, and thus this single data point was overlooked while deriving the predictive equation. Regarding the inverse relationship between water depth and wave amplitude, our result (Fig. 8b) is consistent with previous reports by Fritz et al. (2003), (2004), and Watts et al. (2005).

The insights from Fig. 8 informed the architecture of the predictive equation in the next Section, with slide volume, travel distance, and slope angle being multiplicatively linked to wave amplitude underscoring their direct correlations with wave amplitude. Conversely, water depth is incorporated as a divisor, representing its inverse relationship with wave amplitude. This structure encapsulates the dynamics between the landslide parameters and their influence on the maximum initial wave amplitude as discussed in more detail in the next Section.

3.3. Predictive equation

Building on our sensitivity analysis of landslide parameters, as detailed in Section 3.2, and utilizing our nondimensional dataset, we have derived a new predictive equation as follows:(5)��/ℎ=0.015(tan�)0.10(�ℎ3)0.90(�ℎ)0.10(ℎ�)−0.11where, V is sliding volume, h is water depth, α is slope angle, and s is landslide thickness. It is important to note that this equation is valid only for subaerial solid-block landslide tsunamis as all our experiments were for this type of waves. The performance of this equation in predicting simulation data is demonstrated by the satisfactory alignment of data points around a 45° line, indicating its accuracy and reliability with regard to the experimental dataset (Fig. 9). The quality of fit between the dataset and Eq. (5) is 91 % indicating that Eq. (5) represents the dataset very well. Table 5 presents Eq. (5) alongside four other similar equations previously published. Two significant distinctions between our Eq. (5) and these others are: (i) Eq. (5) is derived from 3D experiments, whereas the other four equations are based on 2D experiments. (ii) Unlike the other equations, our Eq. (5) incorporates travel distance as an independent parameter.

Fig 9

Table 5. Performance comparison among our newly-developed equation and existing equations for estimating the maximum initial amplitude (aM) of the 2018 Anak Krakatau subaerial landslide tsunami. Parameters: aM, initial maximum wave amplitude; h, water depth; vs, landslide velocity; V, slide volume; bs, slide width; ls, slide length; s, slide thickness; α, slope angle; and ����, volume of the final immersed landslide. We considered ����= V as the slide volume.

EventPredictive equationsAuthor (year)Observed aM (m) ⁎⁎Calculated aM (m)Error, ε (%) ⁎⁎⁎⁎
2018 Anak Krakatau tsunami (Subaerial landslide) *��/ℎ=1.32���ℎNoda (1970)1341340
��/ℎ=0.667(0.5(���ℎ)2)0.334(���)0.754(���)0.506(�ℎ)1.631Bolin et al. (2014) ⁎⁎⁎13459424334
��/ℎ=0.25(������ℎ2)0.8Robbe-Saule et al. (2021)1343177
��/ℎ=0.4545(tan�)0.062(�ℎ3)0.296(ℎ�)−0.235Sabeti and Heidarzadeh (2022b)1341266
��/ℎ=0.015(tan�)0.10(�ℎ3)0.911(�ℎ)0.10(ℎ�)−0.11This study1341302.9

⁎

Geometrical and kinematic parameters of the 2018 Anak Krakatau subaerial landslide based on Heidarzadeh et al. (2020), Grilli et al. (2019) and Grilli et al. (2021): V=2.11 × 107 m3, h= 50 m; s= 114 m; α= 45°; ls=1250 m; bs= 2700 m; vs=44.9 m/s; D= 2500 m; aM= 100 m −150 m.⁎⁎

aM= An average value of aM = 134 m is considered in this study.⁎⁎⁎

The equation of Bolin et al. (2014) is based on the reformatted one reported by Lindstrøm (2016).⁎⁎⁎⁎

Error is calculated using Eq. (1), where the calculated aM is assumed as the simulated value.

Additionally, we evaluated the performance of this equation using the real-world data from the 2018 Anak Krakatau subaerial landslide tsunami. Based on previous studies (Heidarzadeh et al., 2020; Grilli et al., 2019, 2021), we were able to provide a list of parameters for the subaerial landslide and associated tsunami for the 2018 Anak Krakatau event (see footnote of Table 5). We note that the data of the 2018 Anak Krakatau event was not used while deriving Eq. (5). The results indicate that Eq. (5) predicts the initial amplitude of the 2018 Anak Krakatau tsunami as being 130 m indicating an error of 2.9 % compared to the reported average amplitude of 134 m for this event. This performance indicates an improvement compared to the previous equation reported by Sabeti and Heidarzadeh (2022a) (Table 5). In contrast, the equations from Robbe-Saule et al. (2021) and Bolin et al. (2014) demonstrate higher discrepancies of 4200 % and 77 %, respectively (Table 5). Although Noda’s (1970) equation reproduces the tsunami amplitude of 134 m accurately (Table 5), it is crucial to consider its limitations, notably not accounting for parameters such as slope angle and travel distance.

It is essential to recognize that both travel distance and slope angle significantly affect wave amplitude. In our model, captured in Eq. (5), we integrate the slope angle (α) through the tangent function, i.e., tan α. This choice diverges from traditional physical interpretations that often employ the cosine or sine function (e.g., Heller and Hager, 2014; Watts et al., 2003). We opted for the tangent function because it more effectively reflects the direct impact of slope steepness on wave generation, yielding superior estimations compared to conventional methods.

The significance of this study lies in its application of both physical and numerical 3D experiments and the derivation of a predictive equation based on 3D results. Prior research, e.g. Heller et al. (2016), has reported notable discrepancies between 2D and 3D wave amplitudes, highlighting the important role of 3D experiments. It is worth noting that the suitability of applying an equation derived from either 2D or 3D data depends on the specific geometry and characteristics inherent in the problem being addressed. For instance, in the case of a long, narrow dam reservoir, an equation derived from 2D data would likely be more suitable. In such contexts, the primary dynamics of interest such as flow patterns and potential wave propagation are predominantly two-dimensional, occurring along the length and depth of the reservoir. This simplification to 2D for narrow dam reservoirs allows for more accurate modelling of these dynamics.

This study specifically investigates waves initiated by landslides, focusing on those characterized as solid blocks instead of granular flows, with slope angles confined to a range of 25° to 60°. We acknowledge the additional complexities encountered in real-world scenarios, such as dynamic density and velocity of landslides, which could affect the estimations. The developed equation in this study is specifically designed to predict the maximum initial amplitude of tsunamis for the aforementioned specified ranges and types of landslides.

4. Conclusions

Both physical and numerical experiments were undertaken in a 3D wave basin to study solid-block landslide-generated waves and to formulate a predictive equation for their maximum initial wave amplitude. At the beginning, two physical experiments were performed to validate and calibrate a 3D numerical model, which was subsequently utilized to generate 100 experiments by varying different landslide parameters. The generated database was then used to derive a predictive equation for the maximum initial wave amplitude of landslide tsunamis. The main features and outcomes are:

  • •The predictive equation of this study is exclusively derived from 3D data and exhibits a fitting quality of 91 % when applied to the database.
  • •For the first time, landslide travel distance was considered in the predictive equation. This inclusion provides more accuracy and flexibility for applying the equation.
  • •To further evaluate the performance of the predictive equation, it was applied to a real-world subaerial landslide tsunami (i.e., the 2018 Anak Krakatau event) and delivered satisfactory performance.

CRediT authorship contribution statement

Ramtin Sabeti: Conceptualization, Methodology, Validation, Software, Visualization, Writing – review & editing. Mohammad Heidarzadeh: Methodology, Data curation, Software, Writing – review & editing.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Funding

RS is supported by the Leverhulme Trust Grant No. RPG-2022-306. MH is funded by open funding of State Key Lab of Hydraulics and Mountain River Engineering, Sichuan University, grant number SKHL2101. We acknowledge University of Bath Institutional Open Access Fund. MH is also funded by the Great Britain Sasakawa Foundation grant no. 6217 (awarded in 2023).

Acknowledgements

Authors are sincerely grateful to the laboratory technician team, particularly Mr William Bazeley, at the Faculty of Engineering, University of Bath for their support during the laboratory physical modelling of this research. We appreciate the valuable insights provided by Mr. Brian Fox (Senior CFD Engineer at Flow Science, Inc.) regarding air entrainment modelling in FLOW-3D HYDRO. We acknowledge University of Bath Institutional Open Access Fund.

Data availability

  • All data used in this study are given in the body of the article.

References

PDF 원문 보기
Fig. 3. Free surface and substrate profiles in all Sp and Ls cases at t = 1 s, t = 3 s, and t = 5 s, arranged left to right (note: the colour contours correspond to the horizontal component of the flow velocity (u), expressed in m/s).

Numerical investigation of dam break flow over erodible beds with diverse substrate level variations

다양한 기질 수준 변화를 갖는 침식성 층 위의 댐 파손 흐름에 대한 수치 조사

Alireza Khoshkonesh1, Blaise Nsom2, Saeid Okhravi3*, Fariba Ahmadi Dehrashid4, Payam Heidarian5,
Silvia DiFrancesco6
1 Department of Geography, School of Social Sciences, History, and Philosophy, Birkbeck University of London, London, UK.
2 Université de Bretagne Occidentale. IRDL/UBO UMR CNRS 6027. Rue de Kergoat, 29285 Brest, France.
3 Institute of Hydrology, Slovak Academy of Sciences, Dúbravská cesta 9, 84104, Bratislava, Slovak Republic.
4Department of Water Science and Engineering, Faculty of Agriculture, Bu-Ali Sina University, 65178-38695, Hamedan, Iran.
5 Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, 25123 Brescia, Italy.
6Niccol`o Cusano University, via Don C. Gnocchi 3, 00166 Rome, Italy. * Corresponding author. Tel.: +421-944624921. E-mail: saeid.okhravi@savba.sk

Abstract

This study aimed to comprehensively investigate the influence of substrate level difference and material composition on dam break wave evolution over two different erodible beds. Utilizing the Volume of Fluid (VOF) method, we tracked free surface advection and reproduced wave evolution using experimental data from the literature. For model validation, a comprehensive sensitivity analysis encompassed mesh resolution, turbulence simulation methods, and bed load transport equations. The implementation of Large Eddy Simulation (LES), non-equilibrium sediment flux, and van Rijn’s (1984) bed load formula yielded higher accuracy compared to alternative approaches. The findings emphasize the significant effect of substrate level difference and material composition on dam break morphodynamic characteristics. Decreasing substrate level disparity led to reduced flow velocity, wavefront progression, free surface height, substrate erosion, and other pertinent parameters. Initial air entrapment proved substantial at the wavefront, illustrating pronounced air-water interaction along the bottom interface. The Shields parameter experienced a one-third reduction as substrate level difference quadrupled, with the highest near-bed concentration observed at the wavefront. This research provides fresh insights into the complex interplay of factors governing dam break wave propagation and morphological changes, advancing our comprehension of this intricate phenomenon.

이 연구는 두 개의 서로 다른 침식층에 대한 댐 파괴파 진화에 대한 기질 수준 차이와 재료 구성의 영향을 종합적으로 조사하는 것을 목표로 했습니다. VOF(유체량) 방법을 활용하여 자유 표면 이류를 추적하고 문헌의 실험 데이터를 사용하여 파동 진화를 재현했습니다.

모델 검증을 위해 메쉬 해상도, 난류 시뮬레이션 방법 및 침대 하중 전달 방정식을 포함하는 포괄적인 민감도 분석을 수행했습니다. LES(Large Eddy Simulation), 비평형 퇴적물 플럭스 및 van Rijn(1984)의 하상 부하 공식의 구현은 대체 접근 방식에 비해 더 높은 정확도를 산출했습니다.

연구 결과는 댐 붕괴 형태역학적 특성에 대한 기질 수준 차이와 재료 구성의 중요한 영향을 강조합니다. 기판 수준 차이가 감소하면 유속, 파면 진행, 자유 표면 높이, 기판 침식 및 기타 관련 매개변수가 감소했습니다.

초기 공기 포집은 파면에서 상당한 것으로 입증되었으며, 이는 바닥 경계면을 따라 뚜렷한 공기-물 상호 작용을 보여줍니다. 기판 레벨 차이가 4배로 증가함에 따라 Shields 매개변수는 1/3로 감소했으며, 파면에서 가장 높은 베드 근처 농도가 관찰되었습니다.

이 연구는 댐 파괴파 전파와 형태학적 변화를 지배하는 요인들의 복잡한 상호 작용에 대한 새로운 통찰력을 제공하여 이 복잡한 현상에 대한 이해를 향상시킵니다.

Keywords

Dam break; Substrate level difference; Erodible bed; Sediment transport; Computational fluid dynamics CFD.

Fig. 3. Free surface and substrate profiles in all Sp and Ls cases at t = 1 s, t = 3 s, and t = 5 s, arranged left to right (note: the colour contours correspond to the horizontal component of the flow velocity (u), expressed in m/s).
Fig. 3. Free surface and substrate profiles in all Sp and Ls cases at t = 1 s, t = 3 s, and t = 5 s, arranged left to right (note: the colour contours correspond to the horizontal component of the flow velocity (u), expressed in m/s).
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메쉬 분해의 예
OpenMP/MPI 하이브리드 병렬화를 위한 메시 분해의 예

솔버 성능 개선

멀티 소켓 워크스테이션

멀티 소켓 워크스테이션은 이제 매우 일반적이며 대규모 시뮬레이션을 실행할 수 있습니다. 새로운 통합 솔버를 통해 이러한 유형의 하드웨어를 사용하는 사용자는 일반적으로 HPC 클러스터 구성에서만 사용할 수 있었던 OpenMP/MPI 하이브리드 병렬화를 활용하여 모델을 실행할 수 있는 성능 이점을 볼 수 있습니다.

낮은 수준의 루틴으로 벡터화 및 메모리 액세스 개선

대부분의 테스트 사례에서 10%에서 20% 정도의 성능 향상이 관찰되었으며 일부 사례에서는 20%를 초과하는 런타임 이점이 있었습니다.

정제된 체적 대류 안정성 한계

시간 단계 안정성 한계는 모델 런타임의 주요 동인입니다. 2022R2에서는 새로운 시간 단계 안정성 한계인 3D 대류 안정성 한계를 숫자 위젯에서 사용할 수 있습니다. 실행 중이고 대류가 제한된(cx, cy 또는 cz 제한) 모델의 경우 새 옵션은 30% 정도의 일반적인 속도 향상을 보여주었습니다.

압력 솔버 프리 컨디셔너

경우에 따라 까다로운 흐름 구성의 경우 과도한 압력 솔버 반복으로 인해 실행 시간이 길어질 수 있습니다. 어려운 경우 2022R2에서는 모델이 너무 많이 반복될 때 FLOW-3D가 자동으로 새로운 프리 컨디셔너를 활성화하여 압력 수렴을 돕습니다. 테스트의 런타임이 1.9배에서 335배까지 빨라졌습니다!

점탄성 유체에 대한 로그 형태 텐서 방법

점탄성 유체에 대한 새로운 솔버 옵션을 사용자가 사용할 수 있으며 특히 높은 Weissenberg 수치에 효과적입니다.

점탄성 흐름을 위한 개선된 솔루션
로그 구조 텐서 솔루션을 사용하여 점탄성 흐름에 대한 높은 Weissenberg 수에서 개선된 솔루션의 예. Courtesy MF Tome, et al., J. Non-Newton. 체액. 기계 175-176 (2012) 44–54

활성 시뮬레이션 제어 확장

능동 시뮬레이션 제어 기능은 연속 주조 및 적층 제조 응용 프로그램과 주조 및 기타 여러 열 관리 응용 프로그램에 사용되는 냉각 채널에 일반적으로 사용되는 팬텀 개체를 포함하도록 확장되었습니다.

동적 열 제어의 예
융합 증착 모델링 애플리케이션을 위한 동적 열 제어의 예
가상 물체 속도 제어의 예
산업용 탱크 적용을 위한 동적 냉각 채널 제어의 예
동적 열 제어의 예
연속 주조 애플리케이션을 위한 팬텀 물체 속도 제어의 예

연행 공기 기능 개선

디퓨저 및 유사한 산업용 기포 흐름 응용 분야의 경우 이제 대량 공급원을 사용하여 물 기둥에 공기를 도입할 수 있습니다. 또한 혼입 공기 및 용존 산소의 난류 확산에 대한 기본값이 업데이트되었으며 매우 낮은 공기 농도에 대한 모델 정확도가 향상되었습니다.

디퓨저 모델의 예
디퓨저 모델의 예: 질량원을 사용하여 물기둥에 공기를 도입할 수 있습니다.
Figure 1.| Physical models of the vertical drop, backdrop and stepped drop developed in the Technical University of Lisbon.

Numerical modelling of air-water flows in sewer drops

하수구 방울의 공기-물 흐름 수치 모델링

Paula Beceiro (corresponding author)
Maria do Céu Almeida
Hydraulic and Environment Department (DHA), National Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, Portugal
E-mail: pbeceiro@lnec.pt
Jorge Matos
Department of Civil Engineering, Arquitecture and Geosources,
Technical University of Lisbon (IST), Avenida Rovisco Pais 1, 1049-001 Lisbon, Portugal

ABSTRACT

물 흐름에 용존 산소(DO)의 존재는 해로운 영향의 발생을 방지하는 데 유익한 것으로 인식되는 호기성 조건을 보장하는 중요한 요소입니다.

하수도 시스템에서 흐르는 폐수에 DO를 통합하는 것은 공기-액체 경계면 또는 방울이나 접합부와 같은 특이점의 존재로 인해 혼입된 공기를 통한 연속 재방출의 영향을 정량화하기 위해 광범위하게 조사된 프로세스입니다. 공기 혼입 및 후속 환기를 향상시키기 위한 하수구 드롭의 위치는 하수구의 호기성 조건을 촉진하는 효과적인 방법입니다.

본 논문에서는 수직 낙하, 배경 및 계단식 낙하를 CFD(전산유체역학) 코드 FLOW-3D®를 사용하여 모델링하여 이러한 유형의 구조물의 존재로 인해 발생하는 난류로 인한 공기-물 흐름을 평가했습니다. 이용 가능한 실험적 연구에 기초한 수력학적 변수의 평가와 공기 혼입의 분석이 수행되었습니다.

이러한 구조물에 대한 CFD 모델의 결과는 Soares(2003), Afonso(2004) 및 Azevedo(2006)가 개발한 해당 물리적 모델에서 얻은 방류, 압력 헤드 및 수심의 측정을 사용하여 검증되었습니다.

유압 거동에 대해 매우 잘 맞았습니다. 수치 모델을 검증한 후 공기 연행 분석을 수행했습니다.

The presence of dissolved oxygen (DO) in water flows is an important factor to ensure the aerobic conditions recognised as beneficial to prevent the occurrence of detrimental effects. The incorporation of DO in wastewater flowing in sewer systems is a process widely investigated in order to quantify the effect of continuous reaeration through the air-liquid interface or air entrained due the presence of singularities such as drops or junctions. The location of sewer drops to enhance air entrainment and subsequently reaeration is an effective practice to promote aerobic conditions in sewers. In the present paper, vertical drops, backdrops and stepped drop was modelled using the computational fluid dynamics (CFD) code FLOW-3D® to evaluate the air-water flows due to the turbulence induced by the presence of this type of structures. The assessment of the hydraulic variables and an analysis of the air entrainment based in the available experimental studies were carried out. The results of the CFD models for these structures were validated using measurements of discharge, pressure head and water depth obtained in the corresponding physical models developed by Soares (2003), Afonso (2004) and Azevedo (2006). A very good fit was obtained for the hydraulic behaviour. After validation of numerical models, analysis of the air entrainment was carried out.

Key words | air entrainment, computational fluid dynamics (CFD), sewer drops

Figure 1.| Physical models of the vertical drop, backdrop and stepped drop developed in the Technical University of Lisbon.
Figure 1.| Physical models of the vertical drop, backdrop and stepped drop developed in the Technical University of Lisbon.
Figure 3. Comparison between the experimental and numerical pressure head along of the invert of the outlet pipe.
Figure 3. Comparison between the experimental and numerical pressure head along of the invert of the outlet pipe.
Figure 4. Average void fraction along the longitudinal axis of the outlet pipe for the lower discharges in the vertical drop and backdrop.
Figure 4. Average void fraction along the longitudinal axis of the outlet pipe for the lower discharges in the vertical drop and backdrop.

REFERENCES

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원문보기
Figura 7. Influencia del modelo de turbulencia. Qmodelo=27.95l/s.

Flow-3D를 사용하여 전산유체역학(CFD)을 적용한 빠른 단계의 플러시 유동 수치 모델링

Numerical Modeling of Flush Flow in a Rapid Step Applying Computational Fluid Dynamics (CFD) Using Flow-3D.

레브 폴리텍. (Quito) [온라인]. 2018, vol.41, n.2, pp.53-64. ISSN 2477-8990.

이 프로젝트의 주요 목표는 FLOW-3D를 사용하여 계단식 여수로에서 스키밍 흐름의 수치 모델링을 개발하는 것입니다. 이러한 구조의 설계는 물리적 모델링에서 얻은 경험적 표현과 CFD 코드를 지원하는 계단식 여수로를 통한 흐름의 수치 모델링에서 보완 연구를 기반으로 합니다. 수치 모델은 균일한 영역의 유속과 계단 여수로의 마찰 계수를 추정하는 데 사용됩니다(ϴ = 45º, Hd=4.61m). 흐름에 대한 자동 통기의 표현은 복잡하므로 프로그램은 공기 연행 모델을 사용하여 특정 제한이 있는 솔루션에 근접합니다.

The main objective of this project is to develop the numerical modeling of the skimming flow in a stepped spillway using FLOW-3D. The design of these structures is based on the use of empirical expressions obtained from physical modeling and complementary studies in the numerical modeling of flow over the stepped spillway with support of CFD code. The numerical model is used to estimate the flow velocity in the uniform region and the friction coefficient of the stepped spillway (ϴ = 45º, Hd=4.61m). The representation of auto aeration a flow is complex, so the program approximates the solution with certain limitations, using an air entrainment model; drift flux model and turbulence model k-ԑ RNG. The results obtained with numerical modeling and physical modeling at the beginning of natural auto aeration of flow and depth of the biphasic flow in the uniform region presents deviations above to 10% perhaps the flow is highly turbulent.

Keywords : Stepped spillway; skimming flow; air entrainment; drift flux; numerical modeling; FLOW-3D.

Keywords : 계단식 여수로; 스키밍 흐름; 공기 연행; 드리프트 플럭스; 수치 모델링; 흐름-3D.· 

스페인어로 된 초록 · 스페인어 로 된 텍스트 · 스페인어로 된 텍스트( pdf ) 

Figure 1. Grazing flow over a rapid step.
Figure 1. Grazing flow over a rapid step.
Figura 2. Principales regiones existentes en un flujo rasante.
Figura 2. Principales regiones existentes en un flujo rasante.
Figure 3. Dimensions of the El Batán stepped rapid.
Figure 3. Dimensions of the El Batán stepped rapid.
Figure 4. 3D physical model of the El Batán stepped rapid
Figure 4. 3D physical model of the El Batán stepped rapid
Figura 7. Influencia del modelo de turbulencia. Qmodelo=27.95l/s.
Figura 7. Influencia del modelo de turbulencia. Qmodelo=27.95l/s.

REFERENCIAS

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원문보기

Figure 4. Field gate discharge experiment.

FLOW-3D Model Development for the Analysis of the Flow Characteristics of Downstream Hydraulic Structures

하류 유압 구조물의 유동 특성 분석을 위한 FLOW-3D 모델 개발

Beom-Jin Kim 1, Jae-Hong Hwang 2 and Byunghyun Kim 3,*
1 Advanced Structures and Seismic Safety Research Division, Korea Atomic Energy Research Institute,
Daejeon 34057, Korea
2 Korea Water Resources Corporation (K-Water), Daejeon 34350, Korea
3 Department of Civil Engineering, Kyungpook National University, Daegu 41566, Korea

  • Correspondence: bhkimc@knu.ac.kr; Tel.: +82-53-950-7819

Abstract

Hydraulic structures installed in rivers inevitably create a water level difference between upstream and downstream regions. The potential energy due to this difference in water level is converted into kinetic energy, causing high-velocity flow and hydraulic jumps in the river. As a result, problems such as scouring and sloping downstream may occur around the hydraulic structures. In this study, a FLOW-3D model was constructed to perform a numerical analysis of the ChangnyeongHaman weir in the Republic of Korea. The constructed model was verified based on surface velocity measurements from a field gate operation experiment. In the simulation results, the flow discharge differed from the measured value by 9–15 m3/s, from which the accuracy was evaluated to be 82–87%. The flow velocity was evaluated with an accuracy of 92% from a difference of 0.01 to 0.16 m/s. Following this verification, a flow analysis of the hydraulic structures was performed according to boundary conditions and operation conditions for numerous scenarios. Since 2018, the ChangnyeongHaman weir gate has been fully opened due to the implementation of Korea’s eco-environmental policy; therefore, in this study, the actual gate operation history data prior to 2018 was applied and evaluated. The evaluation conditions were a 50% open gate condition and the flow discharge of two cases with a large difference in water level. As a result of the analysis, the actual operating conditions showed that the velocity and the Froude number were lower than the optimal conditions, confirming that the selected design was appropriate. It was also found that in the bed protection section, the average flow velocity was high when the water level difference was large, whereas the bottom velocity was high when the gate opening was large. Ultimately, through the reviewed status survey data in this study, the downstream flow characteristics of hydraulic structures along with adequacy verification techniques, optimal design techniques such as procedures for design, and important considerations were derived. Based on the current results, the constructed FLOW-3D-based model can be applied to creating or updating flow analysis guidelines for future repair and reinforcement measures as well as hydraulic structure design.

하천에 설치되는 수력구조물은 필연적으로 상류와 하류의 수위차를 발생시킨다. 이러한 수위차로 인한 위치에너지는 운동에너지로 변환되어 하천의 고속유동과 수압점프를 일으킨다. 그 결과 수력구조물 주변에서 하류의 세굴, 경사 등의 문제가 발생할 수 있다.

본 연구에서는 대한민국 창녕함안보의 수치해석을 위해 FLOW-3D 모델을 구축하였다. 구축된 모델은 현장 게이트 작동 실험에서 표면 속도 측정을 기반으로 검증되었습니다.

시뮬레이션 결과에서 유량은 측정값과 9~15 m3/s 차이가 나고 정확도는 82~87%로 평가되었다. 유속은 0.01~0.16m/s의 차이에서 92%의 정확도로 평가되었습니다.

검증 후 다양한 시나리오에 대한 경계조건 및 운전조건에 따른 수리구조물의 유동해석을 수행하였다. 2018년부터 창녕함안보 문은 한국의 친환경 정책 시행으로 전면 개방되었습니다.

따라서 본 연구에서는 2018년 이전의 실제 게이트 운영 이력 데이터를 적용하여 평가하였다. 평가조건은 50% open gate 조건과 수위차가 큰 2가지 경우의 유수방류로 하였다. 해석 결과 실제 운전조건은 속도와 Froude수가 최적조건보다 낮아 선정된 설계가 적합함을 확인하였다.

또한 베드보호구간에서는 수위차가 크면 평균유속이 높고, 수문개구가 크면 저저유속이 높은 것으로 나타났다. 최종적으로 본 연구에서 검토한 실태조사 자료를 통해 적정성 검증기법과 함께 수력구조물의 하류 유동특성, 설계절차 등 최적 설계기법 및 중요 고려사항을 도출하였다.

현재의 결과를 바탕으로 구축된 FLOW-3D 기반 모델은 수력구조 설계뿐만 아니라 향후 보수 및 보강 조치를 위한 유동해석 가이드라인 생성 또는 업데이트에 적용할 수 있습니다.

Figure 1. Effect of downstream riverbed erosion according to the type of weir foundation.
Figure 1. Effect of downstream riverbed erosion according to the type of weir foundation.
Figure 2. Changnyeong-Haman weir depth survey results (June 2015)
Figure 2. Changnyeong-Haman weir depth survey results (June 2015)
Figure 4. Field gate discharge experiment.
Figure 4. Field gate discharge experiment.
Figure 16. Analysis results for Case 7 and Case 8
Figure 16. Analysis results for Case 7 and Case 8

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전체 원문보기
Numerical analysis of energy dissipator options using computational fluid dynamics modeling — a case study of Mirani Dam

전산 유체 역학 모델링을 사용한 에너지 소산자 옵션의 수치적 해석 — Mirani 댐의 사례 연구

Arabian Journal of Geosciences volume 15, Article number: 1614 (2022) Cite this article

Abstract

이 연구에서 FLOW 3D 전산 유체 역학(CFD) 소프트웨어를 사용하여 파키스탄 Mirani 댐 방수로에 대한 에너지 소산 옵션으로 미국 매립지(USBR) 유형 II 및 USBR 유형 III 유역의 성능을 추정했습니다. 3D Reynolds 평균 Navier-Stokes 방정식이 해결되었으며, 여기에는 여수로 위의 자유 표면 흐름을 캡처하기 위해 공기 유입, 밀도 평가 및 드리프트-플럭스에 대한 하위 그리드 모델이 포함되었습니다. 본 연구에서는 5가지 모델을 고려하였다. 첫 번째 모델에는 길이가 39.5m인 USBR 유형 II 정수기가 있습니다. 두 번째 모델에는 길이가 44.2m인 USBR 유형 II 정수기가 있습니다. 3번째와 4 번째모델에는 길이가 각각 48.8m인 USBR 유형 II 정수조와 39.5m의 USBR 유형 III 정수조가 있습니다. 다섯 번째 모델은 네 번째 모델과 동일하지만 마찰 및 슈트 블록 높이가 0.3m 증가했습니다. 최상의 FLOW 3D 모델 조건을 설정하기 위해 메쉬 민감도 분석을 수행했으며 메쉬 크기 0.9m에서 최소 오차를 산출했습니다. 세 가지 경계 조건 세트가 테스트되었으며 최소 오류를 제공하는 세트가 사용되었습니다. 수치적 검증은 USBR 유형 II( L = 48.8m), USBR 유형 III( L = 35.5m) 및 USBR 유형 III 의 물리적 모델 에너지 소산을 0.3m 블록 단위로 비교하여 수행되었습니다( L= 35.5m). 통계 분석 결과 평균 오차는 2.5%, RMSE(제곱 평균 제곱근 오차) 지수는 3% 미만이었습니다. 수리학적 및 경제성 분석을 바탕으로 4 번째 모델이 최적화된 에너지 소산기로 밝혀졌습니다. 흡수된 에너지 백분율 측면에서 물리적 모델과 수치적 모델 간의 최대 차이는 5% 미만인 것으로 나타났습니다.

In this study, the FLOW 3D computational fluid dynamics (CFD) software was used to estimate the performance of the United States Bureau of Reclamation (USBR) type II and USBR type III stilling basins as energy dissipation options for the Mirani Dam spillway, Pakistan. The 3D Reynolds-averaged Navier–Stokes equations were solved, which included sub-grid models for air entrainment, density evaluation, and drift–flux, to capture free-surface flow over the spillway. Five models were considered in this research. The first model has a USBR type II stilling basin with a length of 39.5 m. The second model has a USBR type II stilling basin with a length of 44.2 m. The 3rd and 4th models have a USBR type II stilling basin with a length of 48.8 m and a 39.5 m USBR type III stilling basin, respectively. The fifth model is identical to the fourth, but the friction and chute block heights have been increased by 0.3 m. To set up the best FLOW 3D model conditions, mesh sensitivity analysis was performed, which yielded a minimum error at a mesh size of 0.9 m. Three sets of boundary conditions were tested and the set that gave the minimum error was employed. Numerical validation was done by comparing the physical model energy dissipation of USBR type II (L = 48.8 m), USBR type III (L =35.5 m), and USBR type III with 0.3-m increments in blocks (L = 35.5 m). The statistical analysis gave an average error of 2.5% and a RMSE (root mean square error) index of less than 3%. Based on hydraulics and economic analysis, the 4th model was found to be an optimized energy dissipator. The maximum difference between the physical and numerical models in terms of percentage energy absorbed was found to be less than 5%.

Keywords

  • Numerical modeling
  • Spillway
  • Hydraulic jump
  • Energy dissipation
  • FLOW 3D

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원문보기
Fig. 1- Schematic of the general pattern of flow and aeration process in the aerators

2상 유동 해석을 통한 슈트 폭기 시스템 효율에 대한 램프 각도의 영향 조사

Investigation of the Effect of Ramp Angle on Chute Aeration System Efficiency by Two-Phase Flow Analysis

Authors

1 Associate Professor, Civil Engineering Department, Jundi-Shapur University of Technology, Dezful, Iran

2 Instructor in Civil Engineering Department Jundi-Shapur University of Technology, Dezful,Iran.

 10.22055/JISE.2021.37743.1980

Abstract

Flow aeration in chute spillway is one of the most effective and economic ways to prevent cavitation damage. Surface damage is significantly reduced when very small values of air are scattered in a water prism. A structure known as an aerator may be used for this purpose. Besides, ramp angle is one of the factors influencing aerator efficiency. In this research, the value of air entraining the flow through the Jarreh Dam’s spillway at the ramp angles of 6, 8 and 10 degrees, as three different scenarios, was simulated using the Flow-3D software. In order to validate the results of the inlet air into the flowing fluid at a ramp angle of 6 degrees, the observational results of the dam spillway physical model from the laboratory of TAMAB Company in Iran were used. According to the results, raising the ramp angle increases the inlet air to the water jet nappe, and a ten-degree ramp angle provides the best aeration efficiency. The Flow-3D model can also simulate the two-phase water-air flow on spillways, according to the results.

슈트 여수로의 흐름 폭기는 캐비테이션 손상을 방지하는 가장 효과적이고 경제적인 방법 중 하나입니다. 수중 프리즘에 아주 작은 양의 공기가 흩어지면 표면 손상이 크게 줄어듭니다. 이를 위해 폭기 장치로 알려진 구조를 사용할 수 있습니다. 또한, 램프 각도는 폭기 효율에 영향을 미치는 요인 중 하나입니다. 이 연구에서는 FLOW-3D 소프트웨어를 사용하여 3가지 다른 시나리오인 6, 8 및 10도의 램프 각도에서 Jarreh 댐의 방수로를 통해 흐름을 동반하는 공기의 값을 시뮬레이션했습니다. 6도의 경사각에서 유동 유체로 유입되는 공기의 결과를 검증하기 위해이란 TAMAB Company의 실험실에서 댐 방수로 물리적 모델의 관찰 결과를 사용했습니다. 결과에 따르면 램프 각도를 높이면 워터제트 기저귀로 유입되는 공기가 증가하고 10도 램프 각도는 최고의 폭기 효율을 제공합니다. Flow-3D 모델은 결과에 따라 여수로의 2단계 물-공기 흐름을 시뮬레이션할 수도 있습니다.

Keywords

Fig. 1- Schematic of the general pattern of flow and aeration process in the aerators
Fig. 1- Schematic of the general pattern of flow and aeration process in the aerators
(a) The full-scale map of the Jarreh spillway’s plan and profile.
(a) The full-scale map of the Jarreh spillway’s plan and profile.
Fig. 2- Experimental setup (Shamloo et al., 2012)
Fig. 2- Experimental setup (Shamloo et al., 2012)

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PDF 원문 보기
Figure 10 | Contour lines of the static pressure (Pa) for the standard form of the stepped spillway with discharge of 60 liters/second.

스키밍 흐름 영역에서 계단형 여수로의 수리 성능에 대한 삼각형 프리즘 요소의 영향: 실험 연구 및 수치 모델링

The effect of triangular prismatic elements on the hydraulic performance of stepped spillways in the skimming flow regime: an experimental study and numerical modeling 

Kiyoumars Roushangar; Samira Akhgar; Saman Shahnazi

계단식 여수로는 댐의 여수로 위로 흐르는 큰 물의 에너지를 분산시키는 비용 효율적인 유압 구조입니다. 이 연구에서는 삼각주형 요소(TPE)가 계단식 배수로의 수력 성능에 미치는 영향에 초점을 맞췄습니다. 9개의 계단식 배수로 모델이 TPE의 다양한 모양과 레이아웃으로 실험 및 수치적으로 조사되었습니다. 적절한 난류 모델을 채택하려면 RNG k – ε 및 표준 k – ε모델을 활용했습니다. 계산 모델 결과는 계단 표면의 속도 분포 및 압력 프로파일을 포함하여 실험 사례의 계단 여수로에 대한 복잡한 흐름을 만족스럽게 시뮬레이션했습니다. 결과는 계단식 여수로에 TPE를 설치하는 것이 캐비테이션 효과를 줄이는 효과적인 방법이 될 수 있음을 나타냅니다. 계단식 여수로에 TPE를 설치하면 에너지 소실률이 최대 54% 증가했습니다. 계단식 배수로의 성능은 TPE가 더 가깝게 배치되었을 때 개선되었습니다. 또한, 실험 데이터를 이용하여 거칠기 계수( f )와 임계 깊이 대 단차 거칠기( yc / k )의 비율 사이의 관계를 높은 정확도로 얻었다.

Keywords

energy dissipation, Flow-3D, roughness coefficient, stepped spillway, triangular prismatic elements

에너지 소산 , Flow-3D , 거칠기 계수 , 계단식 배수로 , 삼각형 프리즘 요소

Figure 1 | General schematics of laboratory flume facilities.
Figure 1 | General schematics of laboratory flume facilities.
Figure 2 | Different layouts of the selected TPE in the experimental study (y1 and y2 are initial, and sequent depths of hydraulic jump).
Figure 2 | Different layouts of the selected TPE in the experimental study (y1 and y2 are initial, and sequent depths of hydraulic jump).
Figure 3 | Geometry and alignment of TPE in the numerical study.
Figure 3 | Geometry and alignment of TPE in the numerical study.
Figure 5 | Comparison of turbulence models in Flow-3D.
Figure 5 | Comparison of turbulence models in Flow-3D.
Figure 6 | Sequent water depths versus unit flow rate in standard stepped spillways and stepped spillways with triangular TPEs of types A and B.
Figure 6 | Sequent water depths versus unit flow rate in standard stepped spillways and stepped spillways with triangular TPEs of types A and B.
Figure 7 | Energy dissipation for the standard stepped spillway and the stepped spillway with TPEs.
Figure 7 | Energy dissipation for the standard stepped spillway and the stepped spillway with TPEs.
Figure 8 | Positions of measurement points to investigate the pressure and velocity distributions on the stepped spillway
Figure 8 | Positions of measurement points to investigate the pressure and velocity distributions on the stepped spillway
Figure 9 | Velocity distributions on the vertical surface of step number 4.
Figure 9 | Velocity distributions on the vertical surface of step number 4.
Figure 10 | Contour lines of the static pressure (Pa) for the standard form of the stepped spillway with discharge of 60 liters/second.
Figure 10 | Contour lines of the static pressure (Pa) for the standard form of the stepped spillway with discharge of 60 liters/second.
Figure 11 | Pressure distribution on the vertical surface of the fourth step.
Figure 11 | Pressure distribution on the vertical surface of the fourth step.
Figure 12 | Horizontal profile of the pressure distribution on the floor of step 4.
Figure 12 | Horizontal profile of the pressure distribution on the floor of step 4.
Figure 13 | Roughness coefficient changes with various unit discharges for stepped spillways.
Figure 13 | Roughness coefficient changes with various unit discharges for stepped spillways.
Figure 14 | Variations of sequent depth of downstream with various unit discharges for stepped spillways.
Figure 14 | Variations of sequent depth of downstream with various unit discharges for stepped spillways.
Figure 15 | Energy dissipation rate changes with various unit discharges for different stepped spillways.
Figure 15 | Energy dissipation rate changes with various unit discharges for different stepped spillways.
Figure 16 | Roughness coefficients (f ) versus the critical depth to the step roughness ratio (yc/K).
Figure 16 | Roughness coefficients (f ) versus the critical depth to the step roughness ratio (yc/K).

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Hydraulic Analysis of Submerged Spillway Flows and Performance Evaluation of Chute Aerator Using CFD Modeling: A Case Study of Mangla Dam Spillway

CFD 모델링을 이용한 침수 배수로 흐름의 수리학적 해석 및 슈트 폭기장치 성능 평가: Mangla Dam 배수로 사례 연구

Hydraulic Analysis of Submerged Spillway Flows and Performance Evaluation of Chute Aerator Using CFD Modeling: A Case Study of Mangla Dam Spillway

Muhammad Kaleem Sarwar, Zohaib Nisar, Ghulam Nabi, Faraz ul Haq, Ijaz Ahmad, Muhammad Masood & Noor Muhammad Khan 

Abstract

대용량 배출구가 있는 수중 여수로는 일반적으로 홍수 처리 및 침전물 세척의 이중 기능을 수행하기 위해 댐 정상 아래에 제공됩니다. 이 방수로를 통과하는 홍수 물은 난류 거동을 나타냅니다. 

게다가 이러한 난류의 수력학적 분석은 어려운 작업입니다. 

따라서 본 연구는 파키스탄 Mangla Dam에 건설된 수중 여수로의 수리학적 거동을 수치해석을 통해 조사하는 것을 목적으로 한다. 또한 다양한 작동 조건에서 화기의 유압 성능을 평가했습니다. 

Mangla Spillway의 흐름을 수치적으로 모델링하는 데 전산 유체 역학 코드 FLOW 3D가 사용되었습니다. 레이놀즈 평균 Navier-Stokes 방정식은 난류 흐름을 수치적으로 모델링하기 위해 FLOW 3D에서 사용됩니다. 

연구 결과에 따르면 개발된 모델은 최대 6%의 허용 오차로 흐름 매개변수를 계산하므로 수중 여수로 흐름을 시뮬레이션할 수 있습니다. 

또한, 여수로 슈트 베드 주변 모델에 의해 계산된 공기 농도는 폭기 장치에 램프를 설치한 후 6% 이상으로 상승한 3%로 개발된 모델도 침수형 폭기 장치의 성능을 평가할 수 있음을 보여주었습니다.

Submerged spillways with large capacity outlets are generally provided below the dam crest to perform the dual functions of flood disposal and sediment flushing. Flood water passing through these spillways exhibits turbulent behavior. Moreover; hydraulic analysis of such turbulent flows is a challenging task. Therefore, the present study aims to use numerical simulations to examine the hydraulic behavior of submerged spillways constructed at Mangla Dam, Pakistan. Besides, the hydraulic performance of aerator was also evaluated at different operating conditions. Computational fluid dynamics code FLOW 3D was used to numerically model the flows of Mangla Spillway. Reynolds-averaged Navier–Stokes equations are used in FLOW 3D to numerically model the turbulent flows. The study results indicated that the developed model can simulate the submerged spillway flows as it computed the flow parameters with an acceptable error of up to 6%. Moreover, air concentration computed by model near spillway chute bed was 3% which raised to more than 6% after the installation of ramp on aerator which showed that developed model is also capable of evaluating the performance of submerged spillway aerator.

Keywords

  • Aerator
  • CFD
  • FLOW 3D
  • Froude number
  • Submerged spillway
  • Fig. 1extended data figure 1Fig. 2extended data figure 2Fig. 3extended data figure 3Fig. 4extended data figure 4Fig. 5extended data figure 5Fig. 6extended data figure 6Fig. 7extended data figure 7Fig. 8

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Figure 1- Schematic diagram of pooled stepped spillway conducted by Felder et al. (2012A): Notes: h step height (10 cm): w pool height (3.1 cm): l horizontal step length (20 cm): lw pool weir length (1.5 cm): d' is the water depth above the crest; y' is the distance normal to the crest invert

Study of inception point, void fraction and pressure over pooled stepped spillways using Flow-3D

Khosro Morovati , Afshin Eghbalzadeh 
International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 3 April 2018

Abstract

많은 계단식 배수로 지오메트리 설계 지침이 평평한 단계를 위해 개발되었지만 통합 단계를 설계하는 것이 더 효율적으로 작동하는 배수로에 대한 적절한 대안이 될 수 있습니다.

이 논문은 POOL의 다른 높이에서 공기 연행과 보이드 비율의 시작점을 다루는 것을 목표로 합니다. 그 후, FLOW-3D 소프트웨어를 사용하여 POOL과 경사면의 높이를 다르게 하여 폭기된 지역과 폭기되지 않은 지역에서 압력 분포를 평가했습니다.

얻어진 수치 결과와 실험 결과의 비교는 본 연구에 사용된 모든 방류에 대해 잘 일치했습니다. POOL 높이는 시작 지점 위치에 미미한 영향을 미쳤습니다. 공극률의 값은 높은 방류에 비해 낮은 방전에서 더 많은 영향을 받았습니다.

여수로의 마루(통기되지 않은 지역)에서는 음압이 나타나지 않았으며 각 방류에서 마루를 따라 높이가 15cm인 수영장에서 최대 압력 값이 얻어졌습니다.

모든 사면에서 웅덩이 및 평평한 계단형 여수로의 계단층 부근에서는 음압이 형성되지 않았습니다. 그러나 평단식 여수로에 비해 평단식 여수로의 수직면 부근에서 음압이 더 많이 형성되어 평단식 슈트에서 캐비테이션 현상이 발생할 확률이 증가하였습니다.

Study of inception point, void fraction and pressure over pooled
stWhile many stepped spillways geometry design guidelines were developed for flat steps, designing pooled steps might be an appropriate alternative to spillways working more efficiency. This paper aims to deal with the inception point of air-entrainment and void fraction in the different height of the pools. Following that, pressure distribution was evaluated in aerated and non-aerated regions under the effect of different heights of the pools and slopes through the use of the FLOW-3D software. Comparison of obtained numerical results with experimental ones was in good agreement for all discharges used in this study. Pools height had the insignificant effect on the inception point location. The value of void fraction was more affected in lower discharges in comparison with higher ones. Negative pressure was not seen over the crest of spillway (non-aerated region), and the maximum pressure values were obtained for pools with 15 cm height along the crest in each discharge. In all slopes, negative pressure was not formed near the step bed in the pooled and flat stepped spillways. However, negative pressure was formed in more area near the vertical face in the flat stepped spillway compared with the pooled stepped spillway which increases the probability of cavitation phenomenon in the flat stepped chute.

Design/methodology/approach

압력, 공극률 및 시작점을 평가하기 위해 POOL된 계단식 여수로가 사용되었습니다. 또한 POOL의 다른 높이가 사용되었습니다. 이 연구의 수치 시뮬레이션은 Flow-3D 소프트웨어를 통해 수행되었습니다. 얻어진 결과는 풀이 압력, 공극률 및 시작점을 포함한 2상 유동 특성에 영향을 미칠 수 있음을 나타냅니다.

Findings

마루 위에는 음압이 보이지 않았습니다. 압력 값은 사용된 모든 높이와 15cm 높이에서 얻은 최대 값에 대해 다릅니다. 또한, 풀링 스텝은 플랫 케이스에 비해 음압점 감소에 더 효과적인 역할을 하였습니다. 시작 지점 위치는 특히 9 및 15cm 높이에 대해 스키밍 흐름 영역과 비교하여 낮잠 및 전환 흐름 영역에서 더 많은 영향을 받았습니다.

Keywords

Citation

Morovati, K. and Eghbalzadeh, A. (2018), “Study of inception point, void fraction and pressure over pooled stepped spillways using Flow-3D”, International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 28 No. 4, pp. 982-998. https://doi.org/10.1108/HFF-03-2017-0112

Figure 1- Schematic diagram of pooled stepped spillway conducted by Felder et al. (2012A): Notes: h step height (10 cm): w pool height (3.1 cm): l horizontal step length (20 cm): lw pool weir length (1.5 cm): d' is the water depth above the crest; y' is the distance normal to the crest invert
Figure 1- Schematic diagram of pooled stepped spillway conducted by Felder et al. (2012A): Notes: h step height (10 cm): w pool height (3.1 cm): l horizontal step length (20 cm): lw pool weir length (1.5 cm): d’ is the water depth above the crest; y’ is the distance normal to the crest invert
Figure 2- meshing domain and distribution of blocks
Figure 2- meshing domain and distribution of blocks
Figure 3- Comparison of numerical simulation with experimental data by Felder et al. (2012A); mesh convergence analysis; pooled stepped spillway (slope: 26.6 0 )
Figure 3- Comparison of numerical simulation with experimental data by Felder et al. (2012A); mesh convergence analysis; pooled stepped spillway (slope: 26.6 0 )
Figure 4- Comparison of numerical simulation with experimental data by Felder et al. (2012A); Flat stepped spillway (slope: 0 26 6. )
Figure 4- Comparison of numerical simulation with experimental data by Felder et al. (2012A); Flat stepped spillway (slope: 0 26 6. )
Figure 5-Comparison of numerical simulation with experimental data by Felder et al. (2012B); pooled and flat stepped spillways (slope: 0 9.8 )
Figure 5-Comparison of numerical simulation with experimental data by Felder et al. (2012B); pooled and flat stepped spillways (slope: 0 9.8 )
Figure 6- TKE distribution on steps 8, 9 and 10 for four different mesh numbers: 261252 (model 1), 288941 (model 2), 323578 (model 3) and 343154 (model 4)
Figure 6- TKE distribution on steps 8, 9 and 10 for four different mesh numbers: 261252 (model 1), 288941 (model 2), 323578 (model 3) and 343154 (model 4)
Figure 7- Comparison of obtained Void fraction distribution on step 10 in numerical simulation with experimental work conducted by Felder et al. (2012A); (slope 26.60 )
Figure 7- Comparison of obtained Void fraction distribution on step 10 in numerical simulation with experimental work conducted by Felder et al. (2012A); (slope 26.60 )
Figure 8- Results of inception point of air entrainment in different height of the pools: comparison with empirical correlations (Eqs 8-9), experimental (Felder et al. (2012A)) and numerical data
Figure 8- Results of inception point of air entrainment in different height of the pools: comparison with empirical correlations (Eqs 8-9), experimental (Felder et al. (2012A)) and numerical data
Figure 9- Void fraction distribution for different pool heights on steps 10; slope 26.6 0
Figure 9- Void fraction distribution for different pool heights on steps 10; slope 26.6 0
Figure 10- Comparison of pressure distribution between numerical simulation and experimental work conducted by Zhang and Chanson (2016); flat stepped spillway (slope: 0 45 )
Figure 10- Comparison of pressure distribution between numerical simulation and experimental work conducted by Zhang and Chanson (2016); flat stepped spillway (slope: 0 45 )
Figure 11- A comparison of the pressure distribution above the crest of the spillway; B comparison of the free surface profile along the crest of the spillway. Note: x' indicates the longitudinal distance from the starting point of the crest.
Figure 11- A comparison of the pressure distribution above the crest of the spillway; B comparison of the free surface profile along the crest of the spillway. Note: x’ indicates the longitudinal distance from the starting point of the crest.
Figure 12- pressure distribution along crest of spillway in different discharges; slope 26.6
Figure 12- pressure distribution along crest of spillway in different discharges; slope 26.6
Figure 13- Pressure distribution near the last step bed for different slopes and discharges: x'' indicatesthe longitudinal distance from the intersection of the horizontal and vertical faces of step 10; y" is the distance from the intersection of the horizontal and vertical faces in the vertical direction
Figure 13- Pressure distribution near the last step bed for different slopes and discharges: x” indicatesthe longitudinal distance from the intersection of the horizontal and vertical faces of step 10; y” is the distance from the intersection of the horizontal and vertical faces in the vertical direction
Figure 14- Pressure distribution adjacent the vertical face of step 9 for different discharges and slopes
Figure 14- Pressure distribution adjacent the vertical face of step 9 for different discharges and slopes
Table1- Used discharges for assessments of mesh convergence analysis and hydraulic characteristics
Table1- Used discharges for assessments of mesh convergence analysis and hydraulic characteristics

Conclusion

본 연구에서는 자유표면을 모사하기 위해 VOF 방법과 k -ε (RNG) 난류 모델을 활용하여 FLOW-3D 소프트웨어를 사용하였고, 계단식 배수로의 유동을 모사하기 위한 목적으로 난류 특성을 모사하였다. 얻은 결과는 수치 모델이 시작점 위치, 보이드 비율 및 압력을 적절하게 시뮬레이션했음을 나타냅니다. 풀의 높이는 공기 유입 위치에 미미한 영향을 미치므로 얻은 결과는 이 문서에서 제시된 상관 관계와 잘 일치했습니다. 즉, 사용 가능한 상관 관계를 서로 다른 풀 높이에 사용할 수 있습니다. 공극률의 결과는 스텝 풀 근처의 나프 유동 영역에서 공극율 값이 다른 배출보다 더 큰 것으로 나타났다. 더욱이 고방출량 .0 113m3/s에서 수영장 높이를 변경해도 수영장 표면 근처의 공극률 값에는 영향을 미치지 않았습니다.

낮잠 및 전환 체제의 압력 분포에 대한 0 및 3cm 높이의 수영장 효과는 많은 지점에서 대부분 유사했습니다. 더욱이 조사된 모든 높이에서 여수로의 마루를 따라 부압이 없었습니다. 여수로 끝단의 바닥 부근의 압력 결과는 평평하고 고인 경우 부압이 발생하지 않았음을 나타냅니다. 수직면 부근의 음압은 웅덩이에 비해 평평한 계단형 여수로의 깊이(w=0 cm)의 대부분에서 발생하였다. 또한 더 큰 사면에 대한 풀링 케이스에서 음압이 제거되었습니다. 평단식 여수로에서는 계단의 수직면에 인접한 더 넓은 지역에서 음압이 발생하였기 때문에 이 여수로에서는 고형단식여수로보다 캐비테이션 현상이 발생할 가능성이 더 큽니다.

In this study, the FLOW-3D software was used through utilizing the VOF method and k −ε (RNG) turbulence model in order to simulate free surface, and turbulence characteristics for the purpose of simulating flow over pooled stepped spillway. The results obtained indicated that the numerical model properly simulated the inception point location, void fraction, and pressure. The height of the pools has the insignificant effect on the location of air entrainment, so that obtained results were in good agreement with the correlations presented in this paper. In other words, available correlations can be used for different pool heights. The results of void fraction showed that the void fraction values in nappe flow regime near the step pool were more than the other discharges. Furthermore in high discharge, 0.113m3/s, altering pool height had no effect on the value of void fraction near the pool surface.

The effect of the pools with 0 and 3 cm heights over the pressure distribution in nappe and transition regimes was mostly similar in many points. Furthermore, in all examined heights there was no negative pressure along the crest of the spillway. The pressure results near the bed of the step at the end of the spillway indicated that negative pressure did not occur in the flat and pooled cases. Negative pressure near the vertical face occurred in the most part of the depth in the flat stepped spillway (w=0 cm) in comparison with the pooled case. Also, the negative pressure was eliminated in the pooled case for the larger slopes. Since negative pressure occurred in a larger area adjacent the vertical face of the steps in the flat stepped spillways, it is more likely that cavitation phenomenon occurs in this spillway rather than the pooled stepped spillways.

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원문보기
Fig. 1. Hydraulic jump flow structure.

Performance assessment of OpenFOAM and FLOW-3D in the numerical modeling of a low Reynolds number hydraulic jump

낮은 레이놀즈 수 유압 점프의 수치 모델링에서 OpenFOAM 및 FLOW-3D의 성능 평가

ArnauBayona DanielValerob RafaelGarcía-Bartuala Francisco ​JoséVallés-Morána P. AmparoLópez-Jiméneza

Abstract

A comparative performance analysis of the CFD platforms OpenFOAM and FLOW-3D is presented, focusing on a 3D swirling turbulent flow: a steady hydraulic jump at low Reynolds number. Turbulence is treated using RANS approach RNG k-ε. A Volume Of Fluid (VOF) method is used to track the air–water interface, consequently aeration is modeled using an Eulerian–Eulerian approach. Structured meshes of cubic elements are used to discretize the channel geometry. The numerical model accuracy is assessed comparing representative hydraulic jump variables (sequent depth ratio, roller length, mean velocity profiles, velocity decay or free surface profile) to experimental data. The model results are also compared to previous studies to broaden the result validation. Both codes reproduced the phenomenon under study concurring with experimental data, although special care must be taken when swirling flows occur. Both models can be used to reproduce the hydraulic performance of energy dissipation structures at low Reynolds numbers.

CFD 플랫폼 OpenFOAM 및 FLOW-3D의 비교 성능 분석이 3D 소용돌이치는 난류인 낮은 레이놀즈 수에서 안정적인 유압 점프에 초점을 맞춰 제시됩니다. 난류는 RANS 접근법 RNG k-ε을 사용하여 처리됩니다.

VOF(Volume Of Fluid) 방법은 공기-물 계면을 추적하는 데 사용되며 결과적으로 Eulerian-Eulerian 접근 방식을 사용하여 폭기가 모델링됩니다. 입방체 요소의 구조화된 메쉬는 채널 형상을 이산화하는 데 사용됩니다. 수치 모델 정확도는 대표적인 유압 점프 변수(연속 깊이 비율, 롤러 길이, 평균 속도 프로파일, 속도 감쇠 또는 자유 표면 프로파일)를 실험 데이터와 비교하여 평가됩니다.

모델 결과는 또한 결과 검증을 확장하기 위해 이전 연구와 비교됩니다. 소용돌이 흐름이 발생할 때 특별한 주의가 필요하지만 두 코드 모두 실험 데이터와 일치하는 연구 중인 현상을 재현했습니다. 두 모델 모두 낮은 레이놀즈 수에서 에너지 소산 구조의 수리 성능을 재현하는 데 사용할 수 있습니다.

Keywords

CFDRANS, OpenFOAM, FLOW-3D ,Hydraulic jump, Air–water flow, Low Reynolds number

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Figure 17. Longitudinal turbulent kinetic energy distribution on the smooth and triangular macroroughnesses: (A) Y/2; (B) Y/6.

Numerical Simulations of the Flow Field of a Submerged Hydraulic Jump over Triangular Macroroughnesses

Triangular Macroroughnesses 대한 잠긴 수압 점프의 유동장 수치 시뮬레이션

by Amir Ghaderi 1,2,Mehdi Dasineh 3,Francesco Aristodemo 2 andCostanza Aricò 4,*1Department of Civil Engineering, Faculty of Engineering, University of Zanjan, Zanjan 537138791, Iran2Department of Civil Engineering, University of Calabria, Arcavacata, 87036 Rende, Italy3Department of Civil Engineering, Faculty of Engineering, University of Maragheh, Maragheh 8311155181, Iran4Department of Engineering, University of Palermo, Viale delle Scienze, 90128 Palermo, Italy*Author to whom correspondence should be addressed.Academic Editor: Anis YounesWater2021, 13(5), 674; https://doi.org/10.3390/w13050674

Abstract

The submerged hydraulic jump is a sudden change from the supercritical to subcritical flow, specified by strong turbulence, air entrainment and energy loss. Despite recent studies, hydraulic jump characteristics in smooth and rough beds, the turbulence, the mean velocity and the flow patterns in the cavity region of a submerged hydraulic jump in the rough beds, especially in the case of triangular macroroughnesses, are not completely understood. The objective of this paper was to numerically investigate via the FLOW-3D model the effects of triangular macroroughnesses on the characteristics of submerged jump, including the longitudinal profile of streamlines, flow patterns in the cavity region, horizontal velocity profiles, streamwise velocity distribution, thickness of the inner layer, bed shear stress coefficient, Turbulent Kinetic Energy (TKE) and energy loss, in different macroroughness arrangements and various inlet Froude numbers (1.7 < Fr1 < 9.3). To verify the accuracy and reliability of the present numerical simulations, literature experimental data were considered.

Keywords: submerged hydraulic jump; triangular macroroughnesses; TKE; bed shear stress coefficient; velocity; FLOW-3D model

수중 유압 점프는 강한 난류, 공기 동반 및 에너지 손실로 지정된 초임계에서 아임계 흐름으로의 급격한 변화입니다. 최근 연구에도 불구하고, 특히 삼각형 거시적 거칠기의 경우, 평활 및 거친 베드에서의 수압 점프 특성, 거친 베드에서 잠긴 수압 점프의 공동 영역에서 난류, 평균 속도 및 유동 패턴이 완전히 이해되지 않았습니다.

이 논문의 목적은 유선의 종방향 프로파일, 캐비티 영역의 유동 패턴, 수평 속도 프로파일, 스트림 방향 속도 분포, 두께를 포함하여 서브머지드 점프의 특성에 대한 삼각형 거시 거칠기의 영향을 FLOW-3D 모델을 통해 수치적으로 조사하는 것이었습니다.

내부 층의 층 전단 응력 계수, 난류 운동 에너지(TKE) 및 에너지 손실, 다양한 거시 거칠기 배열 및 다양한 입구 Froude 수(1.7 < Fr1 < 9.3). 현재 수치 시뮬레이션의 정확성과 신뢰성을 검증하기 위해 문헌 실험 데이터를 고려했습니다.

 Introduction

격렬한 난류 혼합과 기포 동반이 있는 수압 점프는 초임계에서 아임계 흐름으로의 변화 과정으로 간주됩니다[1]. 자유 및 수중 유압 점프는 일반적으로 게이트, 배수로 및 둑과 같은 수력 구조 아래의 에너지 손실에 적합합니다. 매끄러운 베드에서 유압 점프의 특성은 널리 연구되었습니다[2,3,4,5,6,7,8,9].

베드의 거칠기 요소가 매끄러운 베드와 비교하여 수압 점프의 특성에 어떻게 영향을 미치는지 예측하기 위해 거시적 거칠기에 대한 자유 및 수중 수력 점프에 대해 여러 실험 및 수치 연구가 수행되었습니다. Ead와 Rajaratnam[10]은 사인파 거대 거칠기에 대한 수리학적 점프의 특성을 조사하고 무차원 분석을 통해 수면 프로파일과 배출을 정규화했습니다.

Tokyayet al. [11]은 두 사인 곡선 거대 거칠기에 대한 점프 길이 비율과 에너지 손실이 매끄러운 베드보다 각각 35% 더 작고 6% 더 높다는 것을 관찰했습니다. Abbaspur et al. [12]는 6개의 사인파형 거대 거칠기에 대한 수력학적 점프의 특성을 연구했습니다. 그 결과, 꼬리수심과 점프길이는 평상보다 낮았고 Froude 수는 점프길이에 큰 영향을 미쳤습니다.

Shafai-Bejestan과 Neisi[13]는 수압 점프에 대한 마름모꼴 거대 거칠기의 영향을 조사했습니다. 결과는 마름모꼴 거시 거칠기를 사용하면 매끄러운 침대와 비교하여 꼬리 수심과 점프 길이를 감소시키는 것으로 나타났습니다. Izadjoo와 Shafai-Bejestan[14]은 다양한 사다리꼴 거시 거칠기에 대한 수압 점프를 연구했습니다.

그들은 전단응력계수가 평활층보다 10배 이상 크고 점프길이가 50% 감소하는 것을 관찰하였습니다. Nikmehr과 Aminpour[15]는 Flow-3D 모델 버전 11.2[16]를 사용하여 사다리꼴 블록이 있는 거시적 거칠기에 대한 수력학적 점프의 특성을 조사했습니다. 결과는 거시 거칠기의 높이와 거리가 증가할수록 전단 응력 계수뿐만 아니라 베드 근처에서 속도가 감소하는 것으로 나타났습니다.

Ghaderi et al. [17]은 다양한 형태의 거시 거칠기(삼각형, 정사각형 및 반 타원형)에 대한 자유 및 수중 수력 점프 특성을 연구했습니다. 결과는 Froude 수의 증가에 따라 자유 및 수중 점프에서 전단 응력 계수, 에너지 손실, 수중 깊이, 미수 깊이 및 상대 점프 길이가 증가함을 나타냅니다.

자유 및 수중 점프에서 가장 높은 전단 응력과 에너지 손실은 삼각형의 거시 거칠기가 존재할 때 발생했습니다. Elsebaie와 Shabayek[18]은 5가지 형태의 거시적 거칠기(삼각형, 사다리꼴, 2개의 측면 경사 및 직사각형이 있는 정현파)에 대한 수력학적 점프의 특성을 연구했습니다. 결과는 모든 거시적 거칠기에 대한 에너지 손실이 매끄러운 베드에서보다 15배 이상이라는 것을 보여주었습니다.

Samadi-Boroujeni et al. [19]는 다양한 각도의 6개의 삼각형 거시 거칠기에 대한 수력 점프를 조사한 결과 삼각형 거시 거칠기가 평활 베드에 비해 점프 길이를 줄이고 에너지 손실과 베드 전단 응력 계수를 증가시키는 것으로 나타났습니다.

Ahmed et al. [20]은 매끄러운 베드와 삼각형 거시 거칠기에서 수중 수력 점프 특성을 조사했습니다. 결과는 부드러운 침대와 비교할 때 잠긴 깊이와 점프 길이가 감소했다고 밝혔습니다. 표 1은 다른 연구자들이 제시한 과거의 유압 점프에 대한 실험 및 수치 연구의 세부 사항을 나열합니다.

Table 1. Main characteristics of some past experimental and numerical studies on hydraulic jumps.

ReferenceShape Bed-Channel Type-
Jump Type		Channel Dimension (m)Roughness (mm)Fr1Investigated Flow
Properties
Ead and Rajaratnam [10]-Smooth and rough beds-Rectangular channel-Free jumpCL1 = 7.60
CW2 = 0.44
CH3 = 0.60		-Corrugated sheets (RH4 = 13 and 22)4–10-Upstream and tailwater depths-Jump length-Roller length-Velocity-Water surface profile
Tokyay et al. [11]-Smooth and rough beds-Rectangular channel-Free jumpCL = 10.50
CW = 0.253
CH = 0.432		-Two sinusoidal corrugated (RH = 10 and 13)5–12-Depth ratio-Jump length-Energy loss
Izadjoo and Shafai-Bejestan [14]-Smooth and rough beds-Two rectangular-channel-Free jumpCL = 1.2, 9
CW = 0.25, 0.50
CH = 0.40		Baffle with trapezoidal cross section
(RH: 13 and 26)		6–12-Upstream and tailwater depths-Jump length-Velocity-Bed shear stress coefficient
Abbaspour et al. [12]-Horizontal bed with slope 0.002-Rectangular channel—smooth and rough beds-Free jumpCL = 10
CW = 0.25
CH = 0.50		-Sinusoidal bed (RH = 15,20, 25 and 35)3.80–8.60-Water surface profile-Depth ratio-Jump length-Energy loss-Velocity profiles-Bed shear stress coefficient
Shafai-Bejestan and Neisi [13]-Smooth and rough beds-Rectangular channel-Free jumpCL = 7.50
CW = 0.35
CH = 0.50		Lozenge bed4.50–12-Sequent depth-Jump length
Elsebaie and Shabayek [18]-Smooth and rough beds-Rectangular channel-With side slopes of 45 degrees for two trapezoidal and triangular macroroughnesses and of 60 degrees for other trapezoidal macroroughnesses-Free jumpCL = 9
CW = 0.295
CH = 0.32		-Sinusoidal-Triangular-Trapezoidal with two side-Rectangular-(RH = 18 and corrugation wavelength = 65)50-Water surface profile-Sequent depth-Jump length-Bed shear stress coefficient
Samadi-Boroujeni et al. [19]-Rectangular channel-Smooth and rough beds-Free jumpCL = 12
CW = 0.40
CH = 0.40		-Six triangular corrugated (RH = 2.5)6.10–13.10-Water surface profile-Sequent depth-Jump length-Energy loss-Velocity profiles-Bed shear stress coefficient
Ahmed et al. [20]-Smooth and rough beds-Rectangular channel-Submerged jumpCL = 24.50
CW = 0.75
CH = 0.70		-Triangular corrugated sheet (RH = 40)1.68–9.29-Conjugated and tailwater depths-Submerged ratio-Deficit depth-Relative jump length-Jump length-Relative roller jump length-Jump efficiency-Bed shear stress coefficient
Nikmehr and Aminpour [15]-Horizontal bed with slope 0.002-Rectangular channel-Rough bed-Free jumpCL = 12
CW = 0.25
CH = 0.50		-Trapezoidal blocks (RH = 2, 3 and 4)5.01–13.70-Water surface profile-Sequent depth-Jump length-Roller length-Velocity
Ghaderi et al. [17]-Smooth and rough beds-Rectangular channel-Free and submerged jumpCL = 4.50
CW = 0.75
CH = 0.70		-Triangular, square and semi-oval macroroughnesses (RH = 40 and distance of roughness of I = 40, 80, 120, 160 and 200)1.70–9.30-Horizontal velocity distributions-Bed shear stress coefficient-Sequent depth ratio and submerged depth ratio-Jump length-Energy loss
Present studyRectangular channel
Smooth and rough beds
Submerged jump		CL = 4.50
CW = 0.75
CH = 0.70		-Triangular macroroughnesses (RH = 40 and distance of roughness of I = 40, 80, 120, 160 and 200)1.70–9.30-Longitudinal profile of streamlines-Flow patterns in the cavity region-Horizontal velocity profiles-Streamwise velocity distribution-Bed shear stress coefficient-TKE-Thickness of the inner layer-Energy loss

CL1: channel length, CW2: channel width, CH3: channel height, RH4: roughness height.

이전에 논의된 조사의 주요 부분은 실험실 접근 방식을 기반으로 하며 사인파, 마름모꼴, 사다리꼴, 정사각형, 직사각형 및 삼각형 매크로 거칠기가 공액 깊이, 잠긴 깊이, 점프 길이, 에너지 손실과 같은 일부 자유 및 수중 유압 점프 특성에 어떻게 영향을 미치는지 조사합니다.

베드 및 전단 응력 계수. 더욱이, 저자[17]에 의해 다양한 형태의 거시적 거칠기에 대한 수력학적 점프에 대한 이전 발표된 논문을 참조하면, 삼각형의 거대조도는 가장 높은 층 전단 응력 계수 및 에너지 손실을 가지며 또한 가장 낮은 잠긴 깊이, tailwater를 갖는 것으로 관찰되었습니다.

다른 거친 모양, 즉 정사각형 및 반 타원형과 부드러운 침대에 비해 깊이와 점프 길이. 따라서 본 논문에서는 삼각형 매크로 거칠기를 사용하여(일정한 거칠기 높이가 T = 4cm이고 삼각형 거칠기의 거리가 I = 4, 8, 12, 16 및 20cm인 다른 T/I 비율에 대해), 특정 캐비티 영역의 유동 패턴, 난류 운동 에너지(TKE) 및 흐름 방향 속도 분포와 같은 연구가 필요합니다.

CFD(Computational Fluid Dynamics) 방법은 자유 및 수중 유압 점프[21]와 같은 복잡한 흐름의 모델링 프로세스를 수행하는 중요한 도구로 등장하며 수중 유압 점프의 특성은 CFD 시뮬레이션을 사용하여 정확하게 예측할 수 있습니다 [22,23 ].

본 논문은 초기에 수중 유압 점프의 주요 특성, 수치 모델에 대한 입력 매개변수 및 Ahmed et al.의 참조 실험 조사를 제시합니다. [20], 검증 목적으로 보고되었습니다. 또한, 본 연구에서는 유선의 종방향 프로파일, 캐비티 영역의 유동 패턴, 수평 속도 프로파일, 내부 층의 두께, 베드 전단 응력 계수, TKE 및 에너지 손실과 같은 특성을 조사할 것입니다.

Figure 1. Definition sketch of a submerged hydraulic jump at triangular macroroughnesses.
Figure 1. Definition sketch of a submerged hydraulic jump at triangular macroroughnesses.

Table 2. Effective parameters in the numerical model.

Bed TypeQ
(l/s)		I
(cm)		T (cm)d (cm)y1
(cm)		y4
(cm)		Fr1= u1/(gy1)0.5SRe1= (u1y1)/υ
Smooth30, 45––51.62–3.839.64–32.101.7–9.30.26–0.5039,884–59,825
Triangular macroroughnesses30, 454, 8, 12, 16, 20451.62–3.846.82–30.081.7–9.30.21–0.4439,884–59,825
Figure 2. Longitudinal profile of the experimental flume (Ahmed et al. [20]).
Figure 2. Longitudinal profile of the experimental flume (Ahmed et al. [20]).

Table 3. Main flow variables for the numerical and physical models (Ahmed et al. [20]).

ModelsBed TypeQ (l/s)d (cm)y1 (cm)u1 (m/s)Fr1
Numerical and PhysicalSmooth4551.62–3.831.04–3.701.7–9.3
T/I = 0.54551.61–3.831.05–3.711.7–9.3
T/I = 0.254551.60–3.841.04–3.711.7–9.3
Figure 3. The boundary conditions governing the simulations.
Figure 3. The boundary conditions governing the simulations.
Figure 4. Sketch of mesh setup.
Figure 4. Sketch of mesh setup.

Table 4. Characteristics of the computational grids.

MeshNested Block Cell Size (cm)Containing Block Cell Size (cm)
10.551.10
20.651.30
30.851.70

Table 5. The numerical results of mesh convergence analysis.

ParametersAmounts
fs1 (-)7.15
fs2 (-)6.88
fs3 (-)6.19
K (-)5.61
E32 (%)10.02
E21 (%)3.77
GCI21 (%)3.03
GCI32 (%)3.57
GCI32/rp GCI210.98
Figure 5. Time changes of the flow discharge in the inlet and outlet boundaries conditions (A): Q = 0.03 m3/s (B): Q = 0.045 m3/s.
Figure 5. Time changes of the flow discharge in the inlet and outlet boundaries conditions (A): Q = 0.03 m3/s (B): Q = 0.045 m3/s.
Figure 6. The evolutionary process of a submerged hydraulic jump on the smooth bed—Q = 0.03 m3/s.
Figure 6. The evolutionary process of a submerged hydraulic jump on the smooth bed—Q = 0.03 m3/s.
Figure 7. Numerical versus experimental basic parameters of the submerged hydraulic jump. (A): y3/y1; and (B): y4/y1.
Figure 7. Numerical versus experimental basic parameters of the submerged hydraulic jump. (A): y3/y1; and (B): y4/y1.
Figure 8. Velocity vector field and flow pattern through the gate in a submerged hydraulic jump condition: (A) smooth bed; (B) triangular macroroughnesses.
Figure 8. Velocity vector field and flow pattern through the gate in a submerged hydraulic jump condition: (A) smooth bed; (B) triangular macroroughnesses.
Figure 9. Velocity vector distributions in the x–z plane (y = 0) within the cavity region.
Figure 9. Velocity vector distributions in the x–z plane (y = 0) within the cavity region.
Figure 10. Typical vertical distribution of the mean horizontal velocity in a submerged hydraulic jump [46].
Figure 10. Typical vertical distribution of the mean horizontal velocity in a submerged hydraulic jump [46].
Figure 11. Typical horizontal velocity profiles in a submerged hydraulic jump on smooth bed and triangular macroroughnesses.
Figure 11. Typical horizontal velocity profiles in a submerged hydraulic jump on smooth bed and triangular macroroughnesses.
Figure 12. Horizontal velocity distribution at different distances from the sluice gate for the different T/I for Fr1 = 6.1
Figure 12. Horizontal velocity distribution at different distances from the sluice gate for the different T/I for Fr1 = 6.1
Figure 13. Stream-wise velocity distribution for the triangular macroroughnesses with T/I = 0.5 and 0.25.
Figure 13. Stream-wise velocity distribution for the triangular macroroughnesses with T/I = 0.5 and 0.25.
Figure 14. Dimensionless horizontal velocity distribution in the submerged hydraulic jump for different Froude numbers in triangular macroroughnesses.
Figure 14. Dimensionless horizontal velocity distribution in the submerged hydraulic jump for different Froude numbers in triangular macroroughnesses.
Figure 15. Spatial variations of (umax/u1) and (δ⁄y1).
Figure 15. Spatial variations of (umax/u1) and (δ⁄y1).
Figure 16. The shear stress coefficient (ε) versus the inlet Froude number (Fr1).
Figure 16. The shear stress coefficient (ε) versus the inlet Froude number (Fr1).
Figure 17. Longitudinal turbulent kinetic energy distribution on the smooth and triangular macroroughnesses: (A) Y/2; (B) Y/6.
Figure 17. Longitudinal turbulent kinetic energy distribution on the smooth and triangular macroroughnesses: (A) Y/2; (B) Y/6.
Figure 18. The energy loss (EL/E3) of the submerged jump versus inlet Froude number (Fr1).
Figure 18. The energy loss (EL/E3) of the submerged jump versus inlet Froude number (Fr1).

Conclusions

  • 본 논문에서는 유선의 종방향 프로파일, 공동 영역의 유동 패턴, 수평 속도 프로파일, 스트림 방향 속도 분포, 내부 층의 두께, 베드 전단 응력 계수, 난류 운동 에너지(TKE)를 포함하는 수중 유압 점프의 특성을 제시하고 논의했습니다. ) 및 삼각형 거시적 거칠기에 대한 에너지 손실. 이러한 특성은 FLOW-3D® 모델을 사용하여 수치적으로 조사되었습니다. 자유 표면을 시뮬레이션하기 위한 VOF(Volume of Fluid) 방법과 난류 RNG k-ε 모델이 구현됩니다. 본 모델을 검증하기 위해 평활층과 삼각형 거시 거칠기에 대해 수치 시뮬레이션과 실험 결과를 비교했습니다. 본 연구의 다음과 같은 결과를 도출할 수 있다.
  • 개발 및 개발 지역의 삼각형 거시 거칠기의 흐름 패턴은 수중 유압 점프 조건의 매끄러운 바닥과 비교하여 더 작은 영역에서 동일합니다. 삼각형의 거대 거칠기는 거대 거칠기 사이의 공동 영역에서 또 다른 시계 방향 와류의 형성으로 이어집니다.
  • T/I = 1, 0.5 및 0.33과 같은 거리에 대해 속도 벡터 분포는 캐비티 영역에서 시계 방향 소용돌이를 표시하며, 여기서 속도의 크기는 평균 유속보다 훨씬 작습니다. 삼각형 거대 거칠기(T/I = 0.25 및 0.2) 사이의 거리를 늘리면 캐비티 영역에 크기가 다른 두 개의 소용돌이가 형성됩니다.
  • 삼각형 거시조도 사이의 거리가 충분히 길면 흐름이 다음 조도에 도달할 때까지 속도 분포가 회복됩니다. 그러나 짧은 거리에서 흐름은 속도 분포의 적절한 회복 없이 다음 거칠기에 도달합니다. 따라서 거시 거칠기 사이의 거리가 감소함에 따라 마찰 계수의 증가율이 감소합니다.
  • 삼각형의 거시적 거칠기에서, 잠수 점프의 지정된 섹션에서 최대 속도는 자유 점프보다 높은 값으로 이어집니다. 또한, 수중 점프에서 두 가지 유형의 베드(부드러움 및 거친 베드)에 대해 깊이 및 와류 증가로 인해 베드로부터의 최대 속도 거리는 감소합니다. 잠수 점프에서 경계층 두께는 자유 점프보다 얇습니다.
  • 매끄러운 베드의 난류 영역은 게이트로부터의 거리에 따라 생성되고 자유 표면 롤러 영역 근처에서 발생하는 반면, 거시적 거칠기에서는 난류가 게이트 근처에서 시작되어 더 큰 강도와 제한된 스위프 영역으로 시작됩니다. 이는 반시계 방향 순환의 결과입니다. 거시 거칠기 사이의 공간에서 자유 표면 롤러 및 시계 방향 와류.
  • 삼각 거시 거칠기에서 침지 점프의 베드 전단 응력 계수와 에너지 손실은 유입구 Froude 수의 증가에 따라 증가하는 매끄러운 베드에서 발견된 것보다 더 큽니다. T/I = 0.50 및 0.20에서 최고 및 최저 베드 전단 응력 계수 및 에너지 손실이 평활 베드에 비해 거칠기 요소의 거리가 증가함에 따라 발생합니다.
  • 거의 거칠기 요소가 있는 삼각형 매크로 거칠기의 존재에 의해 주어지는 점프 길이와 잠긴 수심 및 꼬리 수심의 감소는 결과적으로 크기, 즉 길이 및 높이가 감소하는 정수조 설계에 사용될 수 있습니다.
  • 일반적으로 CFD 모델은 다양한 수력 조건 및 기하학적 배열을 고려하여 잠수 점프의 특성 예측을 시뮬레이션할 수 있습니다. 캐비티 영역의 흐름 패턴, 흐름 방향 및 수평 속도 분포, 베드 전단 응력 계수, TKE 및 유압 점프의 에너지 손실은 수치적 방법으로 시뮬레이션할 수 있습니다. 그러나 거시적 차원과 유동장 및 공동 유동의 변화에 ​​대한 다양한 배열에 대한 연구는 향후 과제로 남아 있다.

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The 3D computational domain model (50–18.6) slope change, and boundary condition for (50–30 slope change) model.

Numerical investigation of flow characteristics over stepped spillways

Güven, Aytaç
Mahmood, Ahmed Hussein
Water Supply (2021) 21 (3): 1344–1355.
https://doi.org/10.2166/ws.2020.283Article history

Abstract

Spillways are constructed to evacuate flood discharge safely so that a flood wave does not overtop the dam body. There are different types of spillways, with the ogee type being the conventional one. A stepped spillway is an example of a nonconventional spillway. The turbulent flow over a stepped spillway was studied numerically by using the Flow-3D package. Different fluid flow characteristics such as longitudinal flow velocity, temperature distribution, density and chemical concentration can be well simulated by Flow-3D. In this study, the influence of slope changes on flow characteristics such as air entrainment, velocity distribution and dynamic pressures distribution over a stepped spillway was modelled by Flow-3D. The results from the numerical model were compared with an experimental study done by others in the literature. Two models of a stepped spillway with different discharge for each model were simulated. The turbulent flow in the experimental model was simulated by the Renormalized Group (RNG) turbulence scheme in the numerical model. A good agreement was achieved between the numerical results and the observed ones, which are exhibited in terms of graphics and statistical tables.

배수로는 홍수가 댐 몸체 위로 넘치지 않도록 안전하게 홍수를 피할 수 있도록 건설되었습니다. 다른 유형의 배수로가 있으며, ogee 유형이 기존 유형입니다. 계단식 배수로는 비 전통적인 배수로의 예입니다. 계단식 배수로 위의 난류는 Flow-3D 패키지를 사용하여 수치적으로 연구되었습니다.

세로 유속, 온도 분포, 밀도 및 화학 농도와 같은 다양한 유체 흐름 특성은 Flow-3D로 잘 시뮬레이션 할 수 있습니다. 이 연구에서는 계단식 배수로에 대한 공기 혼입, 속도 분포 및 동적 압력 분포와 같은 유동 특성에 대한 경사 변화의 영향을 Flow-3D로 모델링 했습니다.

수치 모델의 결과는 문헌에서 다른 사람들이 수행한 실험 연구와 비교되었습니다. 각 모델에 대해 서로 다른 배출이 있는 계단식 배수로의 두 모델이 시뮬레이션되었습니다. 실험 모델의 난류 흐름은 수치 모델의 Renormalized Group (RNG) 난류 계획에 의해 시뮬레이션되었습니다. 수치 결과와 관찰 된 결과 사이에 좋은 일치가 이루어졌으며, 이는 그래픽 및 통계 테이블로 표시됩니다.

HIGHLIGHTS

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  • A numerical model was developed for stepped spillways.
  • The turbulent flow was simulated by the Renormalized Group (RNG) model.
  • Both numerical and experimental results showed that flow characteristics are greatly affected by abrupt slope change on the steps.

Keyword

CFD, numerical modelling, slope change, stepped spillway, turbulent flow

INTRODUCTION

댐 구조는 물 보호가 생활의 핵심이기 때문에 물을 저장하거나 물을 운반하는 전 세계에서 가장 중요한 프로젝트입니다. 그리고 여수로는 댐의 가장 중요한 부분 중 하나로 분류됩니다. 홍수로 인한 파괴 나 피해로부터 댐을 보호하기 위해 여수로가 건설됩니다.

수력 발전, 항해, 레크리에이션 및 어업의 중요성을 감안할 때 댐 건설 및 홍수 통제는 전 세계적으로 매우 중요한 문제로 간주 될 수 있습니다. 많은 유형의 배수로가 있지만 가장 일반적인 유형은 다음과 같습니다 : ogee 배수로, 자유 낙하 배수로, 사이펀 배수로, 슈트 배수로, 측면 채널 배수로, 터널 배수로, 샤프트 배수로 및 계단식 배수로.

그리고 모든 여수로는 입구 채널, 제어 구조, 배출 캐리어 및 출구 채널의 네 가지 필수 구성 요소로 구성됩니다. 특히 롤러 압축 콘크리트 (RCC) 댐 건설 기술과 더 쉽고 빠르며 저렴한 건설 기술로 분류 된 계단식 배수로 건설과 관련하여 최근 수십 년 동안 많은 계단식 배수로가 건설되었습니다 (Chanson 2002; Felder & Chanson 2011).

계단식 배수로 구조는 캐비테이션 위험을 감소시키는 에너지 소산 속도를 증가시킵니다 (Boes & Hager 2003b). 계단식 배수로는 다양한 조건에서 더 매력적으로 만드는 장점이 있습니다.

계단식 배수로의 흐름 거동은 일반적으로 낮잠, 천이 및 스키밍 흐름 체제의 세 가지 다른 영역으로 분류됩니다 (Chanson 2002). 유속이 낮을 때 nappe 흐름 체제가 발생하고 자유 낙하하는 낮잠의 시퀀스로 특징 지워지는 반면, 스키밍 흐름 체제에서는 물이 외부 계단 가장자리 위의 유사 바닥에서 일관된 흐름으로 계단 위로 흐릅니다.

또한 주요 흐름에서 3 차원 재순환 소용돌이가 발생한다는 것도 분명합니다 (예 : Chanson 2002; Gonzalez & Chanson 2008). 계단 가장자리 근처의 의사 바닥에서 흐름의 방향은 가상 바닥과 가상으로 정렬됩니다. Takahashi & Ohtsu (2012)에 따르면, 스키밍 흐름 체제에서 주어진 유속에 대해 흐름은 계단 가장자리 근처의 수평 계단면에 영향을 미치고 슈트 경사가 감소하면 충돌 영역의 면적이 증가합니다. 전이 흐름 체제는 나페 흐름과 스키밍 흐름 체제 사이에서 발생합니다. 계단식 배수로를 설계 할 때 스키밍 흐름 체계를 고려해야합니다 (예 : Chanson 1994, Matos 2000, Chanson 2002, Boes & Hager 2003a).

CFD (Computational Fluid Dynamics), 즉 수력 공학의 수치 모델은 일반적으로 물리적 모델에 소요되는 총 비용과 시간을 줄여줍니다. 따라서 수치 모델은 실험 모델보다 빠르고 저렴한 것으로 분류되며 동시에 하나 이상의 목적으로 사용될 수도 있습니다. 사용 가능한 많은 CFD 소프트웨어 패키지가 있지만 가장 널리 사용되는 것은 FLOW-3D입니다. 이 연구에서는 Flow 3D 소프트웨어를 사용하여 유량이 서로 다른 두 모델에 대해 계단식 배수로에서 공기 농도, 속도 분포 및 동적 압력 분포를 시뮬레이션합니다.

Roshan et al. (2010)은 서로 다른 수의 계단 및 배출을 가진 계단식 배수로의 두 가지 물리적 모델에 대한 흐름 체제 및 에너지 소산 조사를 연구했습니다. 실험 모델의 기울기는 각각 19.2 %, 12 단계와 23 단계의 수입니다. 결과는 23 단계 물리적 모델에서 관찰 된 흐름 영역이 12 단계 모델보다 더 수용 가능한 것으로 간주되었음을 보여줍니다. 그러나 12 단계 모델의 에너지 손실은 23 단계 모델보다 더 많았습니다. 그리고 실험은 스키밍 흐름 체제에서 23 단계 모델의 에너지 소산이 12 단계 모델보다 약 12 ​​% 더 적다는 것을 관찰했습니다.

Ghaderi et al. (2020a)는 계단 크기와 유속이 다른 정련 매개 변수의 영향을 조사하기 위해 계단식 배수로에 대한 실험 연구를 수행했습니다. 그 결과, 흐름 체계가 냅페 흐름 체계에서 발생하는 최소 scouring 깊이와 같은 scouring 구멍 치수에 영향을 미친다는 것을 보여주었습니다. 또한 테일 워터 깊이와 계단 크기는 최대 scouring깊이에 대한 실제 매개 변수입니다. 테일 워터의 깊이를 6.31cm에서 8.54 및 11.82cm로 늘림으로써 수세 깊이가 각각 18.56 % 및 11.42 % 증가했습니다. 또한 이 증가하는 테일 워터 깊이는 scouring 길이를 각각 31.43 % 및 16.55 % 감소 시킵니다. 또한 유속을 높이면 Froude 수가 증가하고 흐름의 운동량이 증가하면 scouring이 촉진됩니다. 또한 결과는 중간의 scouring이 횡단면의 측벽보다 적다는 것을 나타냅니다. 계단식 배수로 하류의 최대 scouring 깊이를 예측 한 후 실험 결과와 비교하기 위한 실험식이 제안 되었습니다. 그리고 비교 결과 제안 된 공식은 각각 3.86 %와 9.31 %의 상대 오차와 최대 오차 내에서 scouring 깊이를 예측할 수 있음을 보여주었습니다.

Ghaderi et al. (2020b)는 사다리꼴 미로 모양 (TLS) 단계의 수치 조사를 했습니다. 결과는 이러한 유형의 배수로가 확대 비율 LT / Wt (LT는 총 가장자리 길이, Wt는 배수로의 폭)를 증가시키기 때문에 더 나은 성능을 갖는 것으로 관찰되었습니다. 또한 사다리꼴 미로 모양의 계단식 배수로는 더 큰 마찰 계수와 더 낮은 잔류 수두를 가지고 있습니다. 마찰 계수는 다양한 배율에 대해 0.79에서 1.33까지 다르며 평평한 계단식 배수로의 경우 대략 0.66과 같습니다. 또한 TLS 계단식 배수로에서 잔류 수두의 비율 (Hres / dc)은 약 2.89이고 평평한 계단식 배수로의 경우 약 4.32와 같습니다.

Shahheydari et al. (2015)는 Flow-3D 소프트웨어, RNG k-ε 모델 및 VOF (Volume of Fluid) 방법을 사용하여 배출 계수 및 에너지 소산과 같은 자유 표면 흐름의 프로파일을 연구하여 스키밍 흐름 체제에서 계단식 배수로에 대한 흐름을 조사했습니다. 실험 결과와 비교했습니다. 결과는 에너지 소산 율과 방전 계수율의 관계가 역으로 실험 모델의 결과와 잘 일치 함을 보여 주었다.

Mohammad Rezapour Tabari & Tavakoli (2016)는 계단 높이 (h), 계단 길이 (L), 계단 수 (Ns) 및 단위 폭의 방전 (q)과 같은 다양한 매개 변수가 계단식 에너지 ​​소산에 미치는 영향을 조사했습니다. 방수로. 그들은 해석에 FLOW-3D 소프트웨어를 사용하여 계단식 배수로에서 에너지 손실과 임계 흐름 깊이 사이의 관계를 평가했습니다. 또한 유동 난류에 사용되는 방정식과 표준 k-ɛ 모델을 풀기 위해 유한 체적 방법을 적용했습니다. 결과에 따르면 스텝 수가 증가하고 유량 배출량이 증가하면 에너지 손실이 감소합니다. 얻은 결과를 다른 연구와 비교하고 경험적, 수학적 조사를 수행하여 결국 합격 가능한 결과를 얻었습니다.

METHODOLOGY

ListenReadSpeaker webReader: ListenFor all numerical models the basic principle is very similar: a set of partial differential equations (PDE) present the physical problems. The flow of fluids (gas and liquid) are governed by the conservation laws of mass, momentum and energy. For Computational Fluid Dynamics (CFD), the PDE system is substituted by a set of algebraic equations which can be worked out by using numerical methods (Versteeg & Malalasekera 2007). Flow-3D uses the finite volume approach to solve the Reynolds Averaged Navier-Stokes (RANS) equation, by applying the technique of Fractional Area/Volume Obstacle Representation (FAVOR) to define an obstacle (Flow Science Inc. 2012). Equations (1) and (2) are RANS and continuity equations with FAVOR variables that are applied for incompressible flows.

formula

(1)

formula

(2)where  is the velocity in xi direction, t is the time,  is the fractional area open to flow in the subscript directions,  is the volume fraction of fluid in each cell, p is the hydrostatic pressure,  is the density, is the gravitational force in subscript directions and  is the Reynolds stresses.

Turbulence modelling is one of three key elements in CFD (Gunal 1996). There are many types of turbulence models, but the most common are Zero-equation models, One-equation models, Two-equation models, Reynolds Stress/Flux models and Algebraic Stress/Flux models. In FLOW-3D software, five turbulence models are available. The formulation used in the FLOW-3D software differs slightly from other formulations that includes the influence of the fractional areas/volumes of the FAVORTM method and generalizes the turbulence production (or decay) associated with buoyancy forces. The latter generalization, for example, includes buoyancy effects associated with non-inertial accelerations.

The available turbulence models in Flow-3D software are the Prandtl Mixing Length Model, the One-Equation Turbulent Energy Model, the Two-Equation Standard  Model, the Two-Equation Renormalization-Group (RNG) Model and large Eddy Simulation Model (Flow Science Inc. 2012).In this research the RNG model was selected because this model is more commonly used than other models in dealing with particles; moreover, it is more accurate to work with air entrainment and other particles. In general, the RNG model is classified as a more widely-used application than the standard k-ɛ model. And in particular, the RNG model is more accurate in flows that have strong shear regions than the standard k-ɛ model and it is defined to describe low intensity turbulent flows. For the turbulent dissipation  it solves an additional transport equation:

formula

(3)where CDIS1, CDIS2, and CDIS3 are dimensionless parameters and the user can modify them. The diffusion of dissipation, Diff ɛ, is

formula

(4)where u, v and w are the x, y and z coordinates of the fluid velocity; ⁠, ⁠,  and ⁠, are FLOW-3D’s FAVORTM defined terms;  and  are turbulence due to shearing and buoyancy effects, respectively. R and  are related to the cylindrical coordinate system. The default values of RMTKE, CDIS1 and CNU differ, being 1.39, 1.42 and 0.085 respectively. And CDIS2 is calculated from turbulent production (⁠⁠) and turbulent kinetic energy (⁠⁠).The kinematic turbulent viscosity is the same in all turbulence transport models and is calculated from

formula

(5)where ⁠: is the turbulent kinematic viscosity.  is defined as the numerical challenge between the RNG and the two-equation k-ɛ models, found in the equation below. To avoid an unphysically large result for  in Equation (3), since this equation could produce a value for  very close to zero and also because the physical value of  may approach to zero in such cases, the value of  is calculated from the following equation:

formula

(6)where ⁠: the turbulent length scale.

VOF and FAVOR are classifications of volume-fraction methods. In these two methods, firstly the area should be subdivided into a control volume grid or a small element. Each flow parameter like velocity, temperature and pressure values within the element are computed for each element containing liquids. Generally, these values represent the volumetric average of values in the elements.Numerous methods have been used recently to solve free infinite boundaries in the various numerical simulations. VOF is an easy and powerful method created based on the concept of a fractional intensity of fluid. A significant number of studies have confirmed that this method is more flexible and efficient than others dealing with the configurations of a complex free boundary. By using VOF technology the Flow-3D free surface was modelled and first declared in Hirt & Nichols (1981). In the VOF method there are three ingredients: a planner to define the surface, an algorithm for tracking the surface as a net mediator moving over a computational grid, and application of the boundary conditions to the surface. Configurations of the fluids are defined in terms of VOF function, F (x, y, z, t) (Hirt & Nichols 1981). And this VOF function shows the volume of flow per unit volume

formula

(7)

formula

(8)

formula

(9)where  is the density of the fluid, is a turbulent diffusion term,  is a mass source,  is the fractional volume open to flow. The components of velocity (u, v, w) are in the direction of coordinates (x, y, z) or (r, ⁠).  in the x-direction is the fractional area open to flow,  and  are identical area fractions for flow in the y and z directions. The R coefficient is based on the selection of the coordinate system.

The FAVOR method is a different method and uses another volume fraction technique, which is only used to define the geometry, such as the volume of liquid in each cell used to determine the position of fluid surfaces. Another fractional volume can be used to define the solid surface. Then, this information is used to determine the boundary conditions of the wall that the flow should be adapted for.

Case study

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In this study, the experimental results of Ostad Mirza (2016) was simulated. In a channel composed of two 4 m long modules, with a transparent sidewall of height 0.6 m and 0.5 m width. The upstream chute slope (i.e. pseudo-bottom angle) Ɵ1 = 50°, the downstream chute slope Ɵ2 = 30° or 18.6°, the step heights h = 0.06 m, the total number of steps along the 50° chute 41 steps, the total number of steps along the 30° chute 34 steps and the total number of steps along the 18.6° chute 20 steps.

The flume inflow tool contained a jetbox with a maximum opening set to 0.12 meters, designed for passing the maximum unit discharge of 0.48 m2/s. The measurements of the flow properties (i.e. air concentration and velocity) were computed perpendicular to the pseudo-bottom as shown in Figure 1 at the centre of twenty stream-wise cross-sections, along the stepped chute, (i.e. in five steps up on the slope change and fifteen steps down on the slope change, namely from step number −09 to +23 on 50°–30° slope change, or from −09 to +15 on 50°–18.6° slope change, respectively).

Sketch of the air concentration C and velocity V measured perpendicular to the pseudo-bottom used by Mirza (Ostad Mirza 2016).
Sketch of the air concentration C and velocity V measured perpendicular to the pseudo-bottom used by Mirza (Ostad Mirza 2016).

Sketch of the air concentration C and velocity V measured perpendicular to the pseudo-bottom used by Mirza (Ostad Mirza 2016).

Pressure sensors were arranged with the x/l values for different slope change as shown in Table 1, where x is the distance from the step edge, along the horizontal step face, and l is the length of the horizontal step face. The location of pressure sensors is shown in Table 1.Table 1

Location of pressure sensors on horizontal step faces

Θ(°)L(m)x/l (–)
50.0 0.050 0.35 0.64 – – – 
30.0 0.104 0.17 0.50 0.84 – – 
18.6 0.178 0.10 0.30 0.50 0.7 0.88 
Location of pressure sensors on horizontal step faces
Inlet boundary condition for Q = 0.235 m3/s and fluid elevation 4.21834 m.
Inlet boundary condition for Q = 0.235 m3/s and fluid elevation 4.21834 m.

Inlet boundary condition for Q = 0.235 m3/s and fluid elevation 4.21834 m.

Numerical model set-up

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A 3D numerical model of hydraulic phenomena was simulated based on an experimental study by Ostad Mirza (2016). The water surcharge and flow pressure over the stepped spillway was computed for two models of a stepped spillway with different discharge for each model. In this study, the package was used to simulate the flow parameters such as air entrainment, velocity distribution and dynamic pressures. The solver uses the finite volume technique to discretize the computational domain. In every test run, one incompressible fluid flow with a free surface flow selected at 20̊ was used for this simulation model. Table 2 shows the variables used in test runs.Table 2

Variables used in test runs

Test no.Θ1 (°)Θ2 (°)h(m)d0q (m3s−1)dc/h (–)
1 50 18.6 0.06 0.045 0.1 2.6 
2 50 18.6 0.06 0.082 0.235 4.6 
3 50 30.0 0.06 0.045 0.1 2.6 
4 50 30.0 0.06 0.082 0.235 4.6 
Table 2 Variables used in test runs

For stepped spillway simulation, several parameters should be specified to get accurate simulations, which is the scope of this research. Viscosity and turbulent, gravity and non-inertial reference frame, air entrainment, density evaluation and drift-flux should be activated for these simulations. There are five different choices in the ‘viscosity and turbulent’ option, in the viscosity flow and Renormalized Group (RNG) model. Then a dynamical model is selected as the second option, the ‘gravity and non-inertial reference frame’. Only the z-component was inputted as a negative 9.81 m/s2 and this value represents gravitational acceleration but in the same option the x and y components will be zero. Air entrainment is selected. Finally, in the drift-flux model, the density of phase one is input as (water) 1,000 kg/m3 and the density of phase two (air) as 1.225 kg/m3. Minimum volume fraction of phase one is input equal to 0.1 and maximum volume fraction of phase two to 1 to allow air concentration to reach 90%, then the option allowing gas to escape at free surface is selected, to obtain closer simulation.

The flow domain is divided into small regions relatively by the mesh in Flow-3D numerical model. Cells are the smallest part of the mesh, in which flow characteristics such as air concentration, velocity and dynamic pressure are calculated. The accuracy of the results and simulation time depends directly on the mesh block size so the cell size is very important. Orthogonal mesh was used in cartesian coordinate systems. A smaller cell size provides more accuracy for results, so we reduced the number of cells whilst including enough accuracy. In this study, the size of cells in x, y and z directions was selected as 0.015 m after several trials.

Figure 3 shows the 3D computational domain model 50–18.6 slope change, that is 6.0 m length, 0.50 m width and 4.23 m height. The 3D model of the computational domain model 50–30 slope changes this to 6.0 m length, 0.50 m width and 5.068 m height and the size of meshes in x, y, and z directions are 0.015 m. For the 50–18.6 slope change model: both total number of active and passive cells = 4,009,952, total number of active cells = 3,352,307, include real cells (used for solving the flow equations) = 3,316,269, open real cells = 3,316,269, fully blocked real cells equal to zero, external boundary cells were 36,038, inter-block boundary cells = 0 (Flow-3D report). For 50–30 slope change model: both total number of active and passive cells = 4,760,002, total number of active cells equal to 4,272,109, including real cells (used for solving the flow equations) were 3,990,878, open real cells = 3,990,878 fully blocked real cells = zero, external boundary cells were 281,231, inter-block boundary cells = 0 (Flow-3D report).

The 3D computational domain model (50–18.6) slope change, and boundary condition for (50–30 slope change) model.
Figure3 The 3D computational domain model (50–18.6) slope change, and boundary condition for (50–30 slope change) model.

Figure 3VIEW LARGEDOWNLOAD SLIDE

The 3D computational domain model (50–18.6) slope change, and boundary condition for (50–30 slope change) model.

When solving the Navier-Stokes equation and continuous equations, boundary conditions should be applied. The most important work of boundary conditions is to create flow conditions similar to physical status. The Flow-3D software has many types of boundary condition; each type can be used for the specific condition of the models. The boundary conditions in Flow-3D are symmetry, continuative, specific pressure, grid overlay, wave, wall, periodic, specific velocity, outflow, and volume flow rate.

There are two options to input finite flow rate in the Flow-3D software either for inlet discharge of the system or for the outlet discharge of the domain: specified velocity and volume flow rate. In this research, the X-minimum boundary condition, volume flow rate, has been chosen. For X-maximum boundary condition, outflow was selected because there is nothing to be calculated at the end of the flume. The volume flow rate and the elevation of surface water was set for Q = 0.1 and 0.235 m3/s respectively (Figure 2).

The bottom (Z-min) is prepared as a wall boundary condition and the top (Z-max) is computed as a pressure boundary condition, and for both (Y-min) and (Y-max) as symmetry.

RESULTS AND DISCUSSION

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The air concentration distribution profiles in two models of stepped spillway were obtained at an acquisition time equal to 25 seconds in skimming flow for both upstream and downstream of a slope change 50°–18.6° and 50°–30° for different discharge as in Table 2, and as shown in Figure 4 for 50°–18.6° slope change and Figure 5 for 50°–30° slope change configuration for dc/h = 4.6. The simulation results of the air concentration are very close to the experimental results in all curves and fairly close to that predicted by the advection-diffusion model for the air bubbles suggested by Chanson (1997) on a constant sloping chute.

Figure 4 Experimental and simulated air concentration distribution for steps number −5, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 4.6. VIEW LARGEDOWNLOAD SLIDE Experimental and simulated air concentration distribution for steps number −5, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 4.6.
Figure 4 Experimental and simulated air concentration distribution for steps number −5, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 4.6. VIEW LARGEDOWNLOAD SLIDE Experimental and simulated air concentration distribution for steps number −5, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 4.6.

Figure 4VIEW LARGEDOWNLOAD SLIDE

Experimental and simulated air concentration distribution for steps number −5, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 4.6.

Figure5 Experimental and simulated air concentration distribution for steps number −5, +1, +5, +11, +19 and +22 along the 50°–30° slope change, for dc/h = 4.6.
Figure5 Experimental and simulated air concentration distribution for steps number −5, +1, +5, +11, +19 and +22 along the 50°–30° slope change, for dc/h = 4.6.

Figure 5VIEW LARGEDOWNLOAD SLIDE

Experimental and simulated air concentration distribution for steps number −5, +1, +5, +11, +19 and +22 along the 50°–30° slope change, for dc/h = 4.6.

Figure 6VIEW LARGEDOWNLOAD SLIDE

Figure 6 Experimental and simulated dimensionless velocity distribution for steps number −5, −1, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 2.6.
Figure 6 Experimental and simulated dimensionless velocity distribution for steps number −5, −1, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 2.6.

Experimental and simulated dimensionless velocity distribution for steps number −5, −1, +1, +5, +8, +11 and +15 along the 50°–18.6° slope change for dc/h = 2.6.

Figure 7 Experimental and simulated dimensionless velocity distribution for steps number −5, −1, +1, +5. +11, +15 and +22 along the 50°–30° slope change for dc/h = 2.6.
Figure 7 Experimental and simulated dimensionless velocity distribution for steps number −5, −1, +1, +5. +11, +15 and +22 along the 50°–30° slope change for dc/h = 2.6.

Figure 7VIEW LARGEDOWNLOAD SLIDE

Experimental and simulated dimensionless velocity distribution for steps number −5, −1, +1, +5. +11, +15 and +22 along the 50°–30° slope change for dc/h = 2.6.

But as is shown in all above mentioned figures it is clear that at the pseudo-bottom the CFD results of air concentration are less than experimental ones until the depth of water reaches a quarter of the total depth of water. Also the direction of the curves are parallel to each other when going up towards the surface water and are incorporated approximately near the surface water. For all curves, the cross-section is separate between upstream and downstream steps. Therefore the (-) sign for steps represents a step upstream of the slope change cross-section and the (+) sign represents a step downstream of the slope change cross-section.

The dimensionless velocity distribution (V/V90) profile was acquired at an acquisition time equal to 25 seconds in skimming flow of the upstream and downstream slope change for both 50°–18.6° and 50°–30° slope change. The simulation results are compared with the experimental ones showing that for all curves there is close similarity for each point between the observed and experimental results. The curves increase parallel to each other and they merge near at the surface water as shown in Figure 6 for slope change 50°–18.6° configuration and Figure 7 for slope change 50°–30° configuration. However, at step numbers +1 and +5 in Figure 7 there are few differences between the simulated and observed results, namely the simulation curves ascend regularly meaning the velocity increases regularly from the pseudo-bottom up to the surface water.

Figure 8 (50°–18.6° slope change) and Figure 9 (50°–30° slope change) compare the simulation results and the experimental results for the presented dimensionless dynamic pressure distribution for different points on the stepped spillway. The results show a good agreement with the experimental and numerical simulations in all curves. For some points, few discrepancies can be noted in pressure magnitudes between the simulated and the observed ones, but they are in the acceptable range. Although the experimental data do not completely agree with the simulated results, there is an overall agreement.

Figure 8 Comparison between simulated and experimental results for the dimensionless pressure for steps number −1, −2, −3 and +1, +2 +3 and +20 on the horizontal step faces of 50°–18.6° slope change configuration, for dc/h = 4.6, x is the distance from the step edge.
Figure 8 Comparison between simulated and experimental results for the dimensionless pressure for steps number −1, −2, −3 and +1, +2 +3 and +20 on the horizontal step faces of 50°–18.6° slope change configuration, for dc/h = 4.6, x is the distance from the step edge.

Figure 8VIEW LARGEDOWNLOAD SLIDE

Comparison between simulated and experimental results for the dimensionless pressure for steps number −1, −2, −3 and +1, +2 +3 and +20 on the horizontal step faces of 50°–18.6° slope change configuration, for dc/h = 4.6, x is the distance from the step edge.

Figure 9 Comparison between simulated and experimental results for the dimensionless pressure for steps number −1, −2, −3 and +1, +2 and +30, +31 on the horizontal step face of 50°–30° slope change configuration, for dc/h = 4.6, x is the distance from the step edge.
Figure 9 Comparison between simulated and experimental results for the dimensionless pressure for steps number −1, −2, −3 and +1, +2 and +30, +31 on the horizontal step face of 50°–30° slope change configuration, for dc/h = 4.6, x is the distance from the step edge.

Figure 9VIEW LARGEDOWNLOAD SLIDE

Comparison between simulated and experimental results for the dimensionless pressure for steps number −1, −2, −3 and +1, +2 and +30, +31 on the horizontal step face of 50°–30° slope change configuration, for dc/h = 4.6, x is the distance from the step edge.

The pressure profiles were acquired at an acquisition time equal to 70 seconds in skimming flow on 50°–18.6°, where p is the measured dynamic pressure, h is step height and ϒ is water specific weight. A negative sign for steps represents a step upstream of the slope change cross-section and a positive sign represents a step downstream of the slope change cross-section.

Figure 10 shows the experimental streamwise development of dimensionless pressure on the 50°–18.6° slope change for dc/h = 4.6, x/l = 0.35 on 50° sloping chute and x/l = 0.3 on 18.6° sloping chute compared with the numerical simulation. It is obvious from Figure 10 that the streamwise development of dimensionless pressure before slope change (steps number −1, −2 and −3) both of the experimental and simulated results are close to each other. However, it is clear that there is a little difference between the results of the streamwise development of dimensionless pressure at step numbers +1, +2 and +3. Moreover, from step number +3 to the end, the curves get close to each other.

Figure 10 Comparison between experimental and simulated results for the streamwise development of the dimensionless pressure on the 50°–18.6° slope change, for dc/h = 4.6, and x/l = 0.35 on 50° sloping chute and x/l = 0.3 on 18.6° sloping chute.
Figure 10 Comparison between experimental and simulated results for the streamwise development of the dimensionless pressure on the 50°–18.6° slope change, for dc/h = 4.6, and x/l = 0.35 on 50° sloping chute and x/l = 0.3 on 18.6° sloping chute.

Figure 10VIEW LARGEDOWNLOAD SLIDE

Comparison between experimental and simulated results for the streamwise development of the dimensionless pressure on the 50°–18.6° slope change, for dc/h = 4.6, and x/l = 0.35 on 50° sloping chute and x/l = 0.3 on 18.6° sloping chute.

Figure 11 compares the experimental and the numerical results for the streamwise development of the dimensionless pressure on the 50°–30° slope change, for dc/h = 4.6, and x/l = 0.35 on 50° sloping chute and x/l = 0.17 on 30° sloping chute. It is apparent that the outcomes of the experimental work are close to the numerical results, however, the results of the simulation are above the experimental ones before the slope change, but the results of the simulation descend below the experimental ones after the slope change till the end.

Figure 11 Comparison between experimental and simulated results for the streamwise development of the dimensionless pressure on the 50°–30° slope change, for dc/h = 4.6, and x/l = 0.35 on 50° sloping chute and x/l = 0.17 on 30° sloping chute.
Figure 11 Comparison between experimental and simulated results for the streamwise development of the dimensionless pressure on the 50°–30° slope change, for dc/h = 4.6, and x/l = 0.35 on 50° sloping chute and x/l = 0.17 on 30° sloping chute.

Figure 11VIEW LARGEDOWNLOAD SLIDE

Comparison between experimental and simulated results for the streamwise development of the dimensionless pressure on the 50°–30° slope change, for dc/h = 4.6, and x/l = 0.35 on 50° sloping chute and x/l = 0.17 on 30° sloping chute.

CONCLUSION

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In this research, numerical modelling was attempted to investigate the effect of abrupt slope change on the flow properties (air entrainment, velocity distribution and dynamic pressure) over a stepped spillway with two different models and various flow rates in a skimming flow regime by using the CFD technique. The numerical model was verified and compared with the experimental results of Ostad Mirza (2016). The same domain of the numerical model was inputted as in experimental models to reduce errors as much as possible.

Flow-3D is a well modelled tool that deals with particles. In this research, the model deals well with air entrainment particles by observing their results with experimental results. And the reason for the small difference between the numerical and the experimental results is that the program deals with particles more accurately than the laboratory. In general, both numerical and experimental results showed that near to the slope change the flow bulking, air entrainment, velocity distribution and dynamic pressure are greatly affected by abrupt slope change on the steps. Although the extent of the slope change was relatively small, the influence of the slope change was major on flow characteristics.

The Renormalized Group (RNG) model was selected as a turbulence solver. For 3D modelling, orthogonal mesh was used as a computational domain and the mesh grid size used for X, Y, and Z direction was equal to 0.015 m. In CFD modelling, air concentration and velocity distribution were recorded for a period of 25 seconds, but dynamic pressure was recorded for a period of 70 seconds. The results showed that there is a good agreement between the numerical and the physical models. So, it can be concluded that the proposed CFD model is very suitable for use in simulating and analysing the design of hydraulic structures.

이 연구에서 수치 모델링은 두 가지 다른 모델과 다양한 유속을 사용하여 스키밍 흐름 영역에서 계단식 배수로에 대한 유동 특성 (공기 혼입, 속도 분포 및 동적 압력)에 대한 급격한 경사 변화의 영향을 조사하기 위해 시도되었습니다. CFD 기술. 수치 모델을 검증하여 Ostad Mirza (2016)의 실험 결과와 비교 하였다. 오차를 최대한 줄이기 위해 실험 모형과 동일한 수치 모형을 입력 하였다.

Flow-3D는 파티클을 다루는 잘 모델링 된 도구입니다. 이 연구에서 모델은 실험 결과를 통해 결과를 관찰하여 공기 혼입 입자를 잘 처리합니다. 그리고 수치와 실험 결과의 차이가 작은 이유는 프로그램이 실험실보다 입자를 더 정확하게 다루기 때문입니다. 일반적으로 수치 및 실험 결과는 경사에 가까워지면 유동 벌킹, 공기 혼입, 속도 분포 및 동적 압력이 계단의 급격한 경사 변화에 크게 영향을받는 것으로 나타났습니다. 사면 변화의 정도는 상대적으로 작았지만 사면 변화의 영향은 유동 특성에 큰 영향을 미쳤다.

Renormalized Group (RNG) 모델이 난류 솔버로 선택되었습니다. 3D 모델링의 경우 계산 영역으로 직교 메쉬가 사용되었으며 X, Y, Z 방향에 사용 된 메쉬 그리드 크기는 0.015m입니다. CFD 모델링에서 공기 농도와 속도 분포는 25 초 동안 기록되었지만 동적 압력은 70 초 동안 기록되었습니다. 결과는 수치 모델과 물리적 모델간에 좋은 일치가 있음을 보여줍니다. 따라서 제안 된 CFD 모델은 수력 구조물의 설계 시뮬레이션 및 해석에 매우 적합하다는 결론을 내릴 수 있습니다.

DATA AVAILABILITY STATEMENT

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All relevant data are included in the paper or its Supplementary Information.

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© 2021 The Authors
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Figure 4. Structure of artificial neural network [37]

Turbulent Flow Modeling at Tunnel Spillway Concave Bends and Prediction of Pressure using Artificial Neural Network

터널 배수로 오목 굴곡에서 난류 유동 모델링 인공 신경망을 이용한 압력 예측 및 예측

Zeinab Bashari Moghaddam 1
Hossein Mohammad Vali Samani2
Seyed Habib Mousavi Jahromi 3

Abstract

터널 배수로는 높은 자유 표면 유속이 설정되는 배수로 유형 중 하나입니다. 회전 가속과 난류 흐름의 불규칙성으로 인해 오목한 수직 굽힘에서 압력이 증가합니다. 물리적 모델은 이 현상을 분석하는 가장 좋은 도구입니다.

모든 실제 프로토 타입 상태 분석을 포괄하는 데 필요한 물리적 모델의 수가 너무 많아 배치 및 비용 측면에서 비실용적입니다. 따라서 FLOW-3D 소프트웨어는 가능한 모든 실제 대안을 포괄하는 오목한 굴곡 터널의 난류 흐름 데이터베이스를 분석하고 생성하기 위해 선택되었습니다.

이 소프트웨어는 방전과 형상이 다른 다양한 터널을 시뮬레이션했습니다. 수치 결과는 Alborz Dam 터널 배수로의 건설 된 물리적 모델의 실험 결과로 검증되었으며 만족스러운 동의를 얻었습니다. 차원 분석은 문제의 관련 변수를 차원 없는 매개 변수로 그룹화하는 데 사용됩니다.

이러한 매개 변수는 인공 신경망 시뮬레이션에 사용됩니다. 결과는 Flow-3D 소프트웨어로 얻은 무 차원 매개 변수와 신경망에 의해 예측된 변수 사이의 상관 계수 R2 = 0.95를 보여 주었으며, 이와 관련하여 난류 모델링을 통해 얻은 데이터베이스를 기반으로 한 인공 신경망이 결론을 내릴 수있었습니다. 압력 예측을 위한 강력한 도구입니다.

Keywords: Flow-3D, Tunnel spillway concave bend, Numerical simulation, Turbulent flow,
Artificial neural network

본문 내용 생략 : 본문 내용은 내용 하단부에 첨부된 본문 링크를 참조하시기 바랍니다.

Figure 1. Flow in a concave curvature
Figure 1. Flow in a concave curvature
Figure 2. Flow in the curvature of the flip bucket
Figure 2. Flow in the curvature of the flip bucket
Figure 3. The location of piezometers on the bed of the concave curvature of tunnel spillway in Alborz Dam
Figure 3. The location of piezometers on the bed of the concave curvature of tunnel spillway in Alborz Dam
Figure 4. Structure of artificial neural network [37]
Figure 4. Structure of artificial neural network [37]
Figure 5. Correlation coefficient of the Neural Network simulation and Flow-3D in the training stage
Figure 6. Correlation coefficient of the Neural Network simulation and Flow-3D in the validation stage
Figure 6. Correlation coefficient of the Neural Network simulation and Flow-3D in the validation stage
Figure 7. Comparison 0f the Simulated Neural Network and Flow-3D Results of the validation stage
Figure 7. Comparison 0f the Simulated Neural Network and Flow-3D Results of the validation stage
Figure 8. Correlation coefficient of the Flow-3D numerical results and Equation (1)
Figure 8. Correlation coefficient of the Flow-3D numerical results and Equation (1)
Figure 9. Correlation coefficient of the Flow-3D numerical results and Equation (2)
Figure 9. Correlation coefficient of the Flow-3D numerical results and Equation (2)
Figure 10. Correlation coefficient of the Flow-3D numerical results and Equation (3)
Figure 10. Correlation coefficient of the Flow-3D numerical results and Equation (3)

현재 연구에서 FLOW-3D 소프트웨어는 처음에 다양한 크기와 배출의 터널 배수로에서 난류 흐름을 시뮬레이션하는데 사용되었습니다. 결과는 이란 에너지부 물 연구소에서 제공한 Alborz 저장 댐에서 얻은 실제 데이터와 비교하여 검증되었습니다.

시뮬레이션에는 다양한 난류 모델이 사용되었으며 RNG 방법이 관찰된 실제 결과와 가장 잘 일치하는 것으로 나타났습니다. 직경이 3 ~ 15m 인 다양한 터널 배수로, 곡률 반경 3 개, 거의 모든 실제 사례를 포괄하는 3개의 배출이 시뮬레이션에 사용되었습니다.

차원 분석을 사용하여 무 차원 매개 변수를 생성하고 문제의 변수 수를 줄였으며 마지막으로 두 개의 주요 무 차원 그룹이 결정되었습니다. 이러한 무 차원 변수 간의 관계를 얻기 위해 신경망을 사용하고 터널 배수로의 오목한 굴곡에서 압력 예측 단계에서 0.95의 상관 계수를 얻었습니다.

압력 계산 결과는 다른 일반적인 방법으로 얻은 결과와 비교되었습니다. 비교는 신경망 결과가 훨씬 더 정확하고 배수로 터널의 오목한 곡률에서 압력을 예측하는 강력한 도구로 간주 될 수 있음을 나타냅니다.

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논문 원문 바로보기
Figure 5. Flow pattern of operating condition 1: (a) Physical model flow diagram; (b) Simulation model flow.

Numerical Study of Fluctuating Pressure on Stilling Basin Slab with Sudden Lateral Enlargement and Bottom Drop

급격한 측면 확대 및 바닥 낙하에 따른 정류지(stilling basin) 슬래브의 변동 압력에 대한 수치 연구

by Yangliang Lu,Jinbu Yin *OrcID,Zhou Yang,Kebang Wei andZhiming Liu
College of Water Resources and Architectural Engineering, Northwest A&F University, Weihui Road, Yangling 712100, China*
Author to whom correspondence should be addressed.
Water 2021, 13(2), 238; https://doi.org/10.3390/w13020238
Received: 6 November 2020 / Revised: 7 January 2021 / Accepted: 11 January 2021 / Published: 19 January 2021
(This article belongs to the Special Issue Physical Modelling in Hydraulics Engineering)

Abstract

갑작스런 확장 및 바닥 낙하가 있는 고요한 정류지(stilling basin) 유역은 복잡한 수력 특성, 특히 3D 공간 수력 점프 아래에서 변동하는 압력 분포로 이어집니다.

이 논문은 FLOW-3D 소프트웨어를 기반으로 한 LES (Large Eddy Simulation) 모델과 TruVOF 방법을 사용하여 시간 평균 압력, 변동 압력의 RMS (Root Mean Square), 정물(stilling basin) 조 슬래브의 최대 및 최소 압력을 시뮬레이션했습니다.

실제 모델 결과와 비교하여 시뮬레이션 결과는 LES 모델이 정물 유역의 변동하는 수류 압력을 안정적으로 시뮬레이션 할 수 있음을 보여줍니다. 변동 압력의 RMS의 최대 값은 정수조 전면과 측벽의 연장선 부근에 나타납니다.

이 논문은 변동 압력의 생성 메커니즘과 Navier-Stokes 방정식에서 파생된 Poisson 방정식을 기반으로 영향 요인 (변동 속도, 속도 구배, 변동 와도)의 정량 분석과 특성의 정성 분석을 결합하는 연구 방법을 제공합니다.

변동하는 압력의. 정류 지의 소용돌이 영역과 벽에 부착 된 제트 영역의 변동 압력 분포는 주로 각각 와류 및 변동 유속의 영향을 받으며 충돌 영역의 분포는 변동 속도, 속도 구배 및 변동에 의해 발생합니다.

A stilling basin with sudden enlargement and bottom drop leads to complicated hydraulic characteristics, especially a fluctuating pressure distribution beneath 3D spatial hydraulic jumps. This paper used the large eddy simulation (LES) model and the TruVOF method based on FLOW-3D software to simulate the time-average pressure, root mean square (RMS) of fluctuating pressure, maximum and minimum pressure of a stilling basin slab. Compared with physical model results, the simulation results show that the LES model can simulate the fluctuating water flow pressure in a stilling basin reliably. The maximum value of RMS of fluctuating pressure appears in the vicinity of the front of the stilling basin and the extension line of the side wall. Based on the generating mechanism of fluctuating pressure and the Poisson Equation derived from the Navier–Stokes Equation, this paper provides a research method of combining quantitative analysis of influencing factors (fluctuating velocity, velocity gradient, and fluctuating vorticity) and qualitative analysis of the characteristics of fluctuating pressure. The distribution of fluctuating pressure in the swirling zone of the stilling basin and the wall-attached jet zone is mainly affected by the vortex and fluctuating flow velocity, respectively, and the distribution in the impinging zone is caused by fluctuating velocity, velocity gradient and fluctuating vorticity. 

Keywords: submerged jump; sudden lateral enlargement and bottom drop; large eddy simulation; vortex; fluctuating pressure

Figure 1. Schematic design of model test: (a) Sectional view; (b) Plan view.
Figure 1. Schematic design of model test: (a) Sectional view; (b) Plan view.
Figure 2. Model layout in laboratory: (a) Discharge chute; (b) The stilling basin.
Figure 2. Model layout in laboratory: (a) Discharge chute; (b) The stilling basin.

Table 1. Operating conditions.

ConditionFlow Discharge
(m3/s)		Inflow Froude NumberInflow Velocity (m/s)Inflow Water Depth (m)
10.9425.2955.6110.114
20.6434.5454.4890.097
30.2324.2273.0180.052
Figure 3. Schematic diagram of fluctuating pressure data-processing process.
Figure 3. Schematic diagram of fluctuating pressure data-processing process.
Figure 4. 3D simulation model: (a) Boundary conditions; (b) Grid mesh.
Figure 4. 3D simulation model: (a) Boundary conditions; (b) Grid mesh.

Table 2. Grid independence test.

GridContaining Block Cell Size (m)Nested Block Cell Size (m)Discharge
(m3/s)		Relative Error (%)
10.0500.0250.9905.10
20.0400.0200.9692.70
30.0300.0150.9561.49
40.0200.0100.9521.06
Figure 5. Flow pattern of operating condition 1: (a) Physical model flow diagram; (b) Simulation model flow.
Figure 5. Flow pattern of operating condition 1: (a) Physical model flow diagram; (b) Simulation model flow.
Figure 6. Numerical simulation of water surface profile and x-z plane flow rate vector.
Figure 6. Numerical simulation of water surface profile and x-z plane flow rate vector.
Figure 7. Comparison of bottom velocity.
Figure 7. Comparison of bottom velocity.
Figure 8. Comparison of pressure at 10 pressure measurement points: (a) Comparison of root mean square (RMS) of fluctuating and time-average pressure; (b) Comparison of maximum and minimum pressure.
Figure 8. Comparison of pressure at 10 pressure measurement points: (a) Comparison of root mean square (RMS) of fluctuating and time-average pressure; (b) Comparison of maximum and minimum pressure.
Figure 9. The distribution diagram of time-average pressure and RMS of fluctuating pressure of bottom of stilling basin under three cases.
Figure 9. The distribution diagram of time-average pressure and RMS of fluctuating pressure of bottom of stilling basin under three cases.
Figure 10. Speed vector in stilling basin at z = 40 cm horizontal plane and bottom plate plane in three cases.
Figure 10. Speed vector in stilling basin at z = 40 cm horizontal plane and bottom plate plane in three cases.
Figure 11. Distribution of fluctuating velocity and vorticity in the horizontal section of the stilling basin slab: (a) Distribution of fluctuating velocity; (b) Distribution of fluctuating vorticity.
Figure 11. Distribution of fluctuating velocity and vorticity in the horizontal section of the stilling basin slab: (a) Distribution of fluctuating velocity; (b) Distribution of fluctuating vorticity.
Figure 12. Distribution of root time-average square fluctuating pressure of x = 50 cm cross-section of bottom plate: (a) Distributions of fluctuating velocity and fluctuating pressure; (b) Distributions of fluctuating vorticity and fluctuating pressure.
Figure 12. Distribution of root time-average square fluctuating pressure of x = 50 cm cross-section of bottom plate: (a) Distributions of fluctuating velocity and fluctuating pressure; (b) Distributions of fluctuating vorticity and fluctuating pressure.
Figure 13. Variance of fluctuating pressure coefficient (Cp′).
Figure 13. Variance of fluctuating pressure coefficient (Cp′).

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FLOW-3D Output variables(출력 변수)

Output variables(출력 변수)

FLOW-3D에서 주어진 시뮬레이션의 정확한 출력은 어떤 물리적 모델, 출력 위젯에 정의된 추가 출력 및 특정 구성 요소별 출력에 따라 달라집니다. 이 문서는 FLOW-3D의 출력에 대해 좀 더 복잡한 출력 변수 중 일부를 참조하는 역할을 합니다.

FLOW-3D Additional output
FLOW-3D Additional output

Distance Traveled by Fluid(유체로 이동 한 거리)

때로는 유체 입자가 이동한 거리가 중요한 경우도 있습니다. FLOW-3D에서 사용자는 모델 설정 ‣ 출력 위젯에서 유체가 이동한 거리에 대한 출력을 요청할 수 있습니다. 이 기능은 유체가 흐름 영역(경계 또는 질량 소스를 통해)에 들어간 시간 또는 유체가 도메인을 통해 이동한 거리를 계산합니다. 이 기능은 모든 시뮬레이션에도 사용할 수 있으며, 특별한 모델을 사용할 필요가 없으며, 흐름에도 영향을 미치지 않습니다. 이 모델을 사용하려면 출력 위젯으로 이동하고 추가 출력 섹션에서 “Distance traveled by fluid” 옆의 체크상자를 선택하십시오.

 노트

추가 출력 섹션은 출력 위젯의 모든 탭에서 사용할 수 있습니다.

유체 도착 시간

유체 도착 시간을 아는 것은 종종 유용합니다. 예를 들어 주조 시뮬레이션에서 주입 시간을 결정하는 데 사용할 수 있습니다. 제어 볼륨은 충전 프로세스 동안 여러 번 채워지고 비워지기 때문에 계산 셀이 채워지는 처음과 마지막 시간 모두 기록되고, 후 처리를 위해 저장될 수 있습니다. 이 작업은 출력 위젯과 추가 출력 섹션 내에서 유체 도착 시간 확인란을 선택하여 수행됩니다.

 노트

이 출력 옵션은 1 유체 자유 표면 흐름에만 사용할 수 있습니다.

유체 체류 시간

때로는 유체가 계산 영역 내에서 보내는 시간인 체류시간을 아는 것이 유용합니다. 이는 출력 ‣ Output ‣ Additional Output ‣ Fluid residence time 확인란을 선택하여 수행합니다. 여기서 S로 지정된 이 변수에 대한 전송 방정식은 단위 소스 항과 함께 Solve됩니다.

유체 체류 시간(Fluid residence time)
유체 체류 시간(Fluid residence time)

여기에서 t는 시간이며 u는 유체 속도입니다.

S의 단위는 시간이다. 계산 도메인에 들어가는 모든 유체에 대한 S의 초기값은 0입니다.

의 값은 항상 second order체계를 가진 데이터로부터 근사치를 구합니다.

이 출력 옵션은 1 유체 및 2 유체 유량 모두에 사용할 수 있습니다.

 노트

경계 조건 또는 소스에서 도메인으로 유입되는 유체가 이미 도메인에 있는 유체와 혼합될 때 체류가 감소하는 것처럼 보일 수 있습니다.

Wall Contact Time

벽면 접촉 시간 출력은 (1)개별 유체 요소가 특정 구성 요소와 접촉하는 시간 및 (2)특정 구성 요소가 유체와 접촉하는 시간을 추적합니다. 이 모델은 액체 금속이 모래 오염물과 접촉했을 때 오염과 상관 관계가 있는 proxy 변수를 제공하기 위한 것입니다. 이 출력은 최종 주조물에서 오염된 유체가 어디에 있는지 확인하는 데 사용될 수 있습니다. 접촉 시간 모델의 또 다른 해석은, 예를 들어, 용해를 통해 다소 일정한 비율로 화학물질을 방출하는 물에 잠긴 물체에 의한 강의 물의 오염입니다.

모델은 Model Setup ‣ Output ‣ Wall contact time 박스를 확인하여 활성화됩니다. 또한 Model Setup ‣ Output ‣ Geometry Data section의 각 구성요소에 대해 해당 구성요소를 계산에 포함하기 위해 반드시 설정해야 하는 Contact time flag가 있습니다.

 추가 정보

Wall Contact Time with Fluid and Component Properties: Contact Time with Fluid for more information on the input variables를 참조하십시오.

 노트

이 모델은 실제 구성 요소, 즉 고체, 다공성 매체, 코어 가스 및 충전 퇴적물 구성 요소로 제한됩니다. 접촉 시간은 유체 # 1과 관련해서만 계산됩니다.

2. 형상 데이터
2. 형상 데이터

Component wetted are

Fluid 1과 접촉하는 구성 요소의 표면 영역은 관심 구성 요소에 대한 Model Setup ‣ Output ‣ Geometry Data ‣ Wetted area 옵션을 활성화하여 History Data로 출력 될 수 있습니다.

구성 요소의 힘과 토크

Forces

Model Setup ‣ Output ‣ Geometry Data ‣ Forces 옵션을 활성화하면 부품에 대한 압력, 전단력, 탄성 및 벽 접착력을 History Data에 출력할 수 있습니다.

압력을 가지지 않은 셀(즉, 도메인 외부에 있거나 다른 구성 요소 안에 있는 셀)이 구성 요소 주변의 각 셀에 대한 압력 영역 제품을 합산하는 동안 어떻게 처리되는지를 제어하는 압력 계산에 대한 몇 가지 추가 옵션이 있습니다. 기본 동작은 이러한 셀에서 사용자 정의 기준 압력을 사용하는 것입니다. 지정되지 않은 경우 기준 압력은 초기 무효 압력인 PVOID로 기본 설정됩니다. 또는, 코드는 Reference pressure is code calculated 옵션을 선택하여 구성요소의 노출된 표면에 대한 평균 압력을 사용할 수 있습니다.

마지막으로, 일반 이동 물체의 경우, 규정된/제약을 받는 대로 물체를 이동시키는 힘을 나타내는 잔류 힘의 추가 출력이 있습니다.

Torques

Model Setup ‣ Output ‣ Force 옵션이 활성화되면 구성 요소의 토크가 계산되고 History Data에 출력됩니다. 토크는 힘-모멘트에 대한 기준점 X, 힘-모멘트에 대한 기준점 Y, 정지 구성 요소에 대한 힘-모멘트 입력에 대한 기준점 Z에 의해 지정된 지점에 대해 보고됩니다. 참조점의 기본 위치는 원점입니다.

General Moving Objects에는 몇 가지 추가 참고 사항이 있습니다. 첫째, 토크는 (1) 6-DOF 동작의 질량 위치 중심 또는 (2)고정축 및 고정점 회전의 회전 축/점에 대해 보고됩니다. 힘에서 행해지는 것과 마찬가지로, 규정된/제한된 바와 같이 물체를 이동시키는 토크를 나타내는 잔류 토크의 출력도 있습니다.

 노트

힘 및 토크 출력은 각 지오메트리 구성 요소의 일반 히스토리 데이터에 기록됩니다. 출력은 개별 힘/토크 기여 (예: 압력, 전단, 탄성, 벽 접착) 및 개별 기여도의 합으로 계산된 총 결합력/토크로 제공됩니다.

Buoyancy center and metacentric height (부력 중심 및 메타 중심 높이)

일반 이동 객체의 부력과 안정성에 대한 정보는 각 구성 요소에 대해 모델 설정 Setup 출력 ‣ 기하학적 데이터 ‣ 부력 중심 및 도량형 높이 옵션을 활성화하여 History Data에서 출력할 수 있습니다. 이렇게 하면 구성 요소의 중심 위치와 중심 높이가 출력됩니다.

  1. Advanced

FLOW-3D Advanced Output Option
FLOW-3D Advanced Output Option

Fluid vorticity & Q-criterion(유체 와동 및 Q 기준)

와동구성 요소뿐만 아니라 와동 구조를 위한 Q-criterion을 계산하고 내보내려면 Model Setup ‣ Output ‣ Advanced 탭에서 해당 확인란을 클릭하여 유체 와동 & Q-criterion을 활성화하십시오.

여기에서:

:  소용돌이 벡터의 다른 구성 요소

 Q-criterion은 속도 구배 텐서의 2차 불변성을 갖는 연결된 유체 영역으로 소용돌이를 정의합니다. 이는 전단 변형률과 와류 크기 사이의 국부적 균형을 나타내며, 와류 크기가 변형률의 크기보다 큰 영역으로 와류를 정의합니다.

Hydraulic Data and Total Hydraulic Head 3D

Hydraulic Data

깊이 기준 유압 데이터를 요청하려면 출력 ‣ 고급으로 이동한 후 유압 데이터 옆의 확인란을 선택하십시오(심층 평균 값과 중력을 -Z 방향으로 가정).

이 옵션은 FLOW-3D가 유압 시뮬레이션에 유용할 수 있는 추가 깊이 평균 데이터를 출력하도록 합니다.

  • Flow depth
  • Maximum flow depth
  • Free surface elevation
  • Velocity
  • Offset velocity
  • Froude number
  • Specific hydraulic head
  • Total hydraulic head

이 수량 각각에 대해 하나의 값 이 메쉬의 모든 (x, y) 위치에서 계산되고 수직 열의 모든 셀에 저장됩니다 (이 수량이 깊이 평균이기 때문에 z 방향으로 데이터의 변화가 없습니다). 변수는 정확도를 보장하기 위해주기마다 계산됩니다. 모든 경우에,  깊이 평균 속도, z- 방향  의 중력 가속도, 유체 깊이, 및 컬럼 내 유체의 최소 z- 좌표입니다.

  • 자유 표면 고도는 수직 기둥의 맨 위 유체 요소에 있는 자유 표면의 z-좌표로 계산됩니다.
  • The Froude number 은   

식으로 계산됩니다.

  • 유체 깊이는 깊이 평균 메쉬 열의 모든 유체의 합으로 계산됩니다.

특정 유압 헤드 

및 총 유압 헤드

변수는 다음에서 계산됩니다.  

 노트

  • 깊이 기준 유압 출력 옵션은 예리한 인터페이스가 있고 중력이 음의 z 방향으로 향할 때에만 유체 1에 유효합니다.
  • 유압 헤드 계산은 스트림 라인이 평행하다고 가정한다는 점을 유념해야 합니다. 예를 들어 플럭스 표면이 재순환 흐름 영역에 배치되는 경우 이 문제가 발생할 수 있습니다. 이 경우, 유량 표면에서 보고된 유량 평균 유압 헤드는 헤드의 계산에서 흐름 방향이 무시되기 때문에 예상보다 클 수 있습니다.

Total Hydraulic Head 3D(총 유압 헤드 3D)

또한 총 유압 헤드 3D 옵션을 확인하여 국부적(3D) 속도 필드, 플럭스 표면에서의 유압 에너지(배플 참조) 및 플럭스 기반 유압 헤드를 사용하여 유체 1의 총 헤드를 계산할 수 있다. 3D 계산은 국부 압력을 사용하여 수행되며(즉, 압력이 유체 깊이와 관련이 있다고 가정하지 않음) 원통 좌표와 호환됩니다.

 노트

  • 유압 헤드 계산은 스트림 라인이 평행하다고 가정한다는 점을 유념해야 한다. 예를 들어 플럭스 표면이 재순환 흐름 영역에 배치되는 경우 문제가 발생할 수 있습니다. 이 경우, 플럭스 표면에서 보고된 유량 평균 유압 헤드는 헤드의 계산 시 흐름 방향이 무시되기 때문에 예상보다 클 수 있습니다.
  • 3D 유압 헤드 계산은 입력 파일에 중력이 정의되지 않은 경우 중력 벡터의 크기를 1로 가정합니다.

Flux-averaged hydraulic head

특정 위치 (즉, 배플)의 플럭스 평균 유압 헤드는 다음과 같이 계산됩니다.

Flux-averaged hydraulic head
Flux-averaged hydraulic head

유압 헤드 계산에서는 유선이 평행하다고 가정합니다. 예를 들어 플럭스 표면이 재순환 흐름 영역에 배치된 경우 (예: 아래에 표시된 것과 같이) 문제가 될 수 있습니다.

유압 헤드 계산에서는 유선이 평행하다고 가정




유압 헤드 계산에서는 유선이 평행하다고 가정

이 경우 플럭스 표면에 보고된 플럭스 평균 유압 헤드는 헤드 계산 시 흐름 방향이 무시되므로 예상보다 클 수 있습니다.

FLOW-3D에는 History Probes, Flux surface, Sampling Volumes의 세 가지 주요 측정 장치가 있습니다. 이러한 장치를 시뮬레이션에 추가하는 방법은 모델 설정 섹션에 설명되어 있습니다(측정 장치 참조). 이들의 출력은 기록 데이터 편집 시간 간격으로 flsgrf 파일의 일반 기록 데이터 카탈로그에 저장됩니다. 이러한 결과는 Analyze ‣ Probe 탭에서 Probe Plots을 생성하여 액세스할 수 있습니다.

히스토리 프로브 출력

히스토리 프로브를 생성하는 단계는 모델 설정 섹션에 설명되어 있습니다(기록 프로브 참조). 시뮬레이션에 사용된 물리 모델에 따라 각각의 History Probe에서 서로 다른 출력을 사용할 수 있습니다. 프로브를 FSI/TSE로 지정하면 유한 요소 메시 안에 들어가야 하는 위치에서 응력/스트레인 데이터만 제공한다. 유체 프로브가 솔리드 형상 구성 요소에 의해 차단된 영역 내에 위치하는 경우, 기하학적 구조와 관련된 수량(예: 벽 온도)만 계산된다. 일반적으로 프로브 좌표에 의해 정의된 위치에서 이러한 양을 계산하려면 보간이 필요하다.

플럭스 표면 출력

플럭스 표면은 이를 통과하는 수량의 흐름을 측정하는데 사용되는 특별한 물체입니다. 플럭스 표면을 만드는 단계는 모델 설정 섹션에 설명되어 있습니다(플럭스 표면 참조). 각 플럭스 표면에 대해 계산된 수량은 다음과 같습니다.

  • Volume flow rate for fluid #1
  • Volume flow rate for fluid #2 (for two-fluid problems only)
  • Combined volume flow rate (for two-fluid problems only)
  • Total mass flow rate
  • Flux surface area wetted by fluid #1
  • Flux-averaged hydraulic head when 3D Hydraulic Head is requested from additional output options
  • Hydraulic energy flow when hydraulic data output is requested
  • Total number of particles of each defined species in each particle class crossing flux surface when the particle model is active
  • Flow rate for all active and passive scalars this includes scalar quantities associated with active physical models (eg. suspended sediment, air entrainment, ect.)

 노트

  • 유속과 입자수의 기호는 유동 표면을 설명하는 함수의 기호에 의해 정의된 대로 흐름이나 입자가 플럭스 표면의 음에서 양으로 교차할 때 양의 부호가 됩니다.
  • 플럭스 표면은 각 표면의 유량과 입자 수가 정확하도록 그들 사이에 적어도 두 개의 메쉬 셀이 있어야 합니다.
  • 유압 데이터 및 총 유압 헤드 3D 옵션을 사용할 때는 유압 헤드 계산이 스트림 라인이 평행하다고 가정한다는 점을 유념해야 한다. 예를 들어 플럭스 표면이 재순환 흐름 영역에 배치되는 경우 이 문제가 발생할 수 있습니다. 이 경우, 유량 표면에서 보고된 유량 평균 유압 헤드는 헤드의 계산에서 흐름 방향이 무시되기 때문에 예상보다 클 수 있습니다.

샘플링 볼륨 출력

샘플링 볼륨은 해당 범위 내에서 볼륨을 측정하는 3 차원 데이터 수집 영역입니다. 샘플링 볼륨을 만드는 단계는 모델 설정 섹션에 설명되어 있습니다(샘플링 볼륨 참조). 각 샘플링 볼륨의 계산 수량은 다음과 같습니다.

  • 시료채취량 내에서 #1 유체 총량
  • 시료채취량 내 #1 유체질량 중심
  • 샘플링 용적 가장자리에 위치한 솔리드 표면을 포함하여 샘플링 용적 내의 모든 벽 경계에 작용하는 좌표계의 원점에 상대적인 유압력 및 모멘트.
  • 샘플링 용적 내 총 스칼라 종량: 이것은 부피 적분으로 계산되므로 스칼라 양이 질량 농도를 나타내면 샘플링 용적 내의 총 질량이 계산된다. 거주 시간과 같은 일부 종의 경우, 평균 값이 대신 계산됩니다.
  • 샘플링 볼륨 내의 입자 수: 각 샘플링 볼륨 내에 있는 각 입자 등급의 정의된 각 종별 입자 수(입자 모델이 활성화된 경우)
  • 운동 에너지, 난류 에너지, 난류 소실율 및 와류에 대한 질량 평균
  • 표본 체적의 6개 경계 각각에서 열 유속: 유체 대류, 유체 및 고체 성분의 전도 및 유체/구성 요소 열 전달이 포함됩니다. 각 플럭스의 기호는 좌표 방향에 의해 결정되는데, 예를 들어, 양방향의 열 플럭스도 양수입니다. 출력에서 확장 또는 최대 디버그 수준을 선택하지 않는 한 이러한 디버그 수준은 fsplt에 자동으로 표시되지 않습니다.

FLOW-3D 및TruVOF는 미국 및 기타 국가에서 등록 상표입니다.

Design of a Sewer Transition

Design of a Sewer Transition | 하수도 전환 설계

This article was contributed by Daniel Valero, Rafael García-Bartual, Ignacio Andrés and Francisco Valles of the Polytechnic University of Valencia.

2010 년 12 월, 새로운 고속 열차 MADRID-VALENCIA (스페인)가 개통되었습니다. 건설 전에 극복해야 할 많은 기술적 문제 중 하나는 터널로 구성된 도심의 철도 입구로 발렌시아의 주요 남쪽 하수도를 벗어나게 했습니다. 이탈 도달 범위는 길이가 143 미터이며 아래에 자세히 설명된 복잡한 유압 설계를 포함하여 기존 경사와 관련하여 경사 및 단면의 중요한 변경을 포함합니다. 유압 성능은 FLOW-3D를 사용한 수치 시뮬레이션과   발렌시아 폴리 테크닉 대학교의 유압 실험실에서 물리적 모델을 통해 확인되었습니다. 최대 용량 100 m 3 / s에 대한 테스트가 수행되었습니다 .

The Sewer                          

그림 1은 하수도 기하학 설계의 주요 특징을 보여줍니다. 여기에는 철도 터널을 건넌 직후에 위치한 표준 WES 프로파일이 포함됩니다. 이 위어는 높은 유속으로 초 임계 흐름을 강제합니다. 하류에서 바람직하지 않은 흐름 조건이 설정되는 것을 방지하기 위해 둑 바로 하류에 정류 조를 설계했습니다. 이러한 장치는 연결 하류 하수도에서 높은 에너지 손실 및 임계 이하의 흐름 조건을 수반하는 유압 점프를 강제합니다. 서로 다른 배출 조건에서 흐름의 거동을 보장하기 위해 채널에 두 개의 세로 줄의 삼각형 블록이 포함되었으며, 이는 정수 조 길이에서 유압 점프를 국지화하기 위해 에너지 소산 기 역할을했습니다. 그 계단의 길이에서 수압 점프. 새로운 변형 채널과 기존 도달 지점(upstream and downstream)사이는 기하학적 요소로 부드럽게 연결합니다.(그림 2).

Figure 1. Geometry of the sewer

Figure 2. Reach 2 of the sewer

FLOW-3D Simulations

문제의 정확한 해결을 위해 계산 리소스를 최적화하기 위해 하수도를 여러 개의 중첩 된 범위로 분할하여 수력 솔루션의 연속성을 보장하고 고려 된 각 도달 범위에서 더 미세한 메시를 사용할 수 있습니다. 가장 복잡한 흐름이 정수 조에서 발생하기 때문에 이러한 도달 범위는 윤곽선과 바닥 블록에서 중앙 흐름 영역까지 점진적으로 다양한 셀 크기로 가장 높은 해상도 (6.000.000 셀)로 해결되었습니다. 유압 점프 시뮬레이션에 대한 비디오는 이 기사의 끝에 있습니다.

Figure 3. Velocity magnitude distribution

Figure 4. Turbulent kinetic energy distribution.

Figure 5. Air entrained prediction with turbulent air entrainment model

ke RNG 난류 모델이 선택되었으며, 이류에 대한 명시적인 2 차 단 조성 보존 체계가 있습니다. 자유 표면 표현에는 Split Lagrangian 방법이 사용되었습니다. 정상 상태 솔루션 이전의 과도 흐름은 더 거친 메쉬로 시뮬레이션되었습니다. 그림 3과 4는 수치 시뮬레이션의 관련 결과를 보여줍니다. 또한 수력 점프의 수치 시뮬레이션을 보여주는 비디오 가이드 기술 노트에 첨부되어 있습니다.

유압 점프에서 발생하는 공기 혼입, 특히 난류와 자유 표면 간의 상호 작용을 설명하기 위해 추가 시뮬레이션이 수행되었습니다. 그림 5는 가변 밀도 옵션을 선택하고 기본 계수 C air  = 0.5를 사용하는 FLOW-3D 의 공기 혼입 모델을 사용한 결과를 보여줍니다.

Comparison with the Physical Model

발렌시아 Polytechnic University의 수압 실험실에 실물 모형을 구축하였습니다. 모형에 사용된 척도는 1/20이었습니다. 그림 6은 weir 상단 바로 위에 있는 임계 단면의 프로파일을 보여 줍니다. 발견된 평균 깊이의 오차는 1.3% 였습니다. 유동의 다른 구조적 특성은 FLOW-3D에 의해 적절하게 재현되었다. 예를 들어, 예를 들어, 하수도가 만곡된 범위에 따른 자유 표면의 형상과 Weir의 상류로의 흐르는 자유 표면의 현상입니다.

Figure 6. Relative error at the critical section. Comparison between FLOW-3D, physical model, and HEC-RAS (US Army Corps of Engineers).

Conclusions

실험실 결과와 FLOW-3D시뮬레이션 간의 약간의 차이가 확인되지만 연구 결과는 매우 만족스럽습니다. 아래 동영상을 통해 실험 및 수치해석 결과를 비교해 보시길 바랍니다.

FLOW-3D는 가능한 많은 형상 또는 유압 설계를 테스트할 때 실험실의 실험 횟수를 줄일 수 있습니다. 또한 FLOW-3D의 파일이 속도, 와도, 난류 등과 같은 관련 분야의 상세한 시공간 분포를 제공하므로 최종 설계와 관련하여 실험실에서 수행 된 결과와 측정을 확장하는 데 도움이 될 수 있습니다. 결합된 기술은 연구에서 언급한 것과 같은 유압 기반시설의 설계, 검증 및 최적화를 위한 강력한 도구입니다.

Filling / 충진

Filling / 충진

재료 비용을 줄이고 사이클 시간을 개선하기 위해 소비재 회사는 슬로 싱, 튀기 및 공기 혼입을 포함한 많은 자유 표면 유체 문제를 처리해야합니다.

Predicting Entrained Air in a Bottle Filling Example

혼입된 공기는 생산 라인에서 컨테이너가 채워질 때 액체의 부피를 증가시킬 수 있습니다. 아래 왼쪽 이미지는 높이가 약 20cm인 병에 1.2 초 동안 채우는 것을 보여줍니다. 색상 음영은 액체에서 공기의 부피 비율을 나타냅니다. 병에서 짧은 시간과 높은 수준의 혼합으로 인해 공기가 표면으로 올라와 빠져 나갈 시간이 없었습니다. 그러나 오른쪽 이미지에서 볼 수 있듯이 약 1.7 초의 추가 시간이 지나면 표면으로 상승하는 공기로 인한 액체 부피 감소가 명확하게 보입니다. FLOW-3D의 드리프트 플럭스 모델을 사용하면 액체의 기포와 같은 성분을 분리하여 분리 할 수 있습니다.

Air entrainment (left) and separation of air and liquid (right)

In by 9, out by 5 – Rapid evaluation of Tide® bottle filling

FLOW-3D를 사용하여 새로운 Tide 병 디자인의 채우기를 모델링하는 방법을 설명하는이 기사는 The Procter and Gamble Company의 기술 부문 책임자 인 John McKibben이 기고했습니다.

오전 9시에 긴급한 이메일을 받았다고 상상해보십시오.

새로운 Tide® 병 디자인 중 하나가 핸들을 채우고 충전 장비에 문제가있을 수 있음을 방금 깨달았습니다. 프로토 타입 병도없고 몇 주 동안도 없을 것입니다. 디자이너와 소비자는 디자인의 모양을 좋아하지만 그것이 채우는 방식은 우리 생산 시설의 쇼 스토퍼가 될 수 있습니다.
이 상황을 접했을 때 저는 3D 지오메트리 (그림 1)의 스테레오 리소그래피 (.stl) 파일을 요청하여 응답을 시작했고 제가 할 수있는 일을 확인했습니다. FLOW-3D는 .stl 파일을 사용하여 지오메트리를 입력 할 수 있으며 채우기에 대한 자유 표면 문제를 해결할 수 있어야한다는 것을 알고있었습니다. 나는 이것이 잠재적 인 문제에 대한 좋은 질적 이해를 제공 할 것으로 기대했지만,이 응용 프로그램에 대해 얼마나 정확한지에 대해서는 약간 불확실했습니다.

Setting up and Running the Simulation

오후 1 시경에 지오메트리 파일, 유량 및 유체 속성을 받았습니다. 몇 시간 내에 시뮬레이션이 실행되어 예비 결과를 제공했습니다. 저는 제 고객을 초대하여 결과를 간단히 살펴 보았고 그는 “보스의 상사”도 함께 살펴 보았습니다. 그래서 저녁 5 시까 지 예비 결과를보고 원래 우려 사항이 문제가 아니라고 판단했습니다.

그러나 결과는 몇 가지 다른 질문을 제기했습니다. 핸들을 채우면 유입되는 유체 분사가 많이 분리되었습니다. 나는 이것이 동반 된 공기와 거품의 양을 증가시킬 것이라는 것을 알고 있었다 (우리는 결국 세탁 세제를 채우고있다). FLOW-3D 공기 혼입 모델을 테스트하기로 결정했습니다. 이 모델은 원래 난류 제트 용으로 개발되었으며,이 층류 문제를 볼 때 얼마나 잘 수행 될지 확신 할 수 없었습니다.

Figure 2: Filled results
Experimental comparison of bottle filling model with and without the air entrainment model, courtesy of The Procter & Gamble Company.

그림 2는 공기 유입 모델이 있거나없는 병 충전 모델의 결과를 보여줍니다. 혼입 된 공기가 포함되면 충전 레벨이 크게 증가합니다. 혼입 된 공기가 병 상단에서 액체를 밀어 내지는 않지만 공기 혼입 정확도를 확인해야 할만큼 충분히 가깝습니다.

그림 3은 몇 주 후에 실행 된 실험의 이미지와 공기 혼입 수준을 비교합니다 (시제품 병이 제공되었을 때). 제트 분리 및 충진 수준의 정 성적 일치는 우수하며 시뮬레이션이 병 설계를 선별하기에 충분히 정확하다는 것을 확인했습니다.

FLOW-3D CAST Bibliography

FLOW-3D CAST bibliography

아래는 FSI의 금속 주조 참고 문헌에 수록된 기술 논문 모음입니다. 이 모든 논문에는 FLOW-3D CAST 해석 결과가 수록되어 있습니다. FLOW-3D CAST를 사용하여 금속 주조 산업의 응용 프로그램을 성공적으로 시뮬레이션하는 방법에 대해 자세히 알아보십시오.

Below is a collection of technical papers in our Metal Casting Bibliography. All of these papers feature FLOW-3D CAST results. Learn more about how FLOW-3D CAST can be used to successfully simulate applications for the Metal Casting Industry.

33-20     Eric Riedel, Martin Liepe Stefan Scharf, Simulation of ultrasonic induced cavitation and acoustic streaming in liquid and solidifying aluminum, Metals, 10.4; 476, 2020. doi.org/10.3390/met10040476

20-20   Wu Yue, Li Zhuo and Lu Rong, Simulation and visual tester verification of solid propellant slurry vacuum plate casting, Propellants, Explosives, Pyrotechnics, 2020. doi.org/10.1002/prep.201900411

17-20   C.A. Jones, M.R. Jolly, A.E.W. Jarfors and M. Irwin, An experimental characterization of thermophysical properties of a porous ceramic shell used in the investment casting process, Supplimental Proceedings, pp. 1095-1105, TMS 2020 149th Annual Meeting and Exhibition, San Diego, CA, February 23-27, 2020. doi.org/10.1007/978-3-030-36296-6_102

12-20   Franz Josef Feikus, Paul Bernsteiner, Ricardo Fernández Gutiérrez and Michal Luszczak , Further development of electric motor housings, MTZ Worldwide, 81, pp. 38-43, 2020. doi.org/10.1007/s38313-019-0176-z

09-20   Mingfan Qi, Yonglin Kang, Yuzhao Xu, Zhumabieke Wulabieke and Jingyuan Li, A novel rheological high pressure die-casting process for preparing large thin-walled Al–Si–Fe–Mg–Sr alloy with high heat conductivity, high plasticity and medium strength, Materials Science and Engineering: A, 776, art. no. 139040, 2020. doi.org/10.1016/j.msea.2020.139040

07-20   Stefan Heugenhauser, Erhard Kaschnitz and Peter Schumacher, Development of an aluminum compound casting process – Experiments and numerical simulations, Journal of Materials Processing Technology, 279, art. no. 116578, 2020. doi.org/10.1016/j.jmatprotec.2019.116578

05-20   Michail Papanikolaou, Emanuele Pagone, Mark Jolly and Konstantinos Salonitis, Numerical simulation and evaluation of Campbell running and gating systems, Metals, 10.1, art. no. 68, 2020. doi.org/10.3390/met10010068

102-19   Ferencz Peti and Gabriela Strnad, The effect of squeeze pin dimension and operational parameters on material homogeneity of aluminium high pressure die cast parts, Acta Marisiensis. Seria Technologica, 16.2, 2019. doi.org/0.2478/amset-2019-0010

94-19   E. Riedel, I. Horn, N. Stein, H. Stein, R. Bahr, and S. Scharf, Ultrasonic treatment: a clean technology that supports sustainability incasting processes, Procedia, 26th CIRP Life Cycle Engineering (LCE) Conference, Indianapolis, Indiana, USA, May 7-9, 2019. 

93-19   Adrian V. Catalina, Liping Xue, Charles A. Monroe, Robin D. Foley, and John A. Griffin, Modeling and Simulation of Microstructure and Mechanical Properties of AlSi- and AlCu-based Alloys, Transactions, 123rd Metalcasting Congress, Atlanta, GA, USA, April 27-30, 2019. 

84-19   Arun Prabhakar, Michail Papanikolaou, Konstantinos Salonitis, and Mark Jolly, Sand casting of sheet lead: numerical simulation of metal flow and solidification, The International Journal of Advanced Manufacturing Technology, pp. 1-13, 2019. doi.org/10.1007/s00170-019-04522-3

72-19   Santosh Reddy Sama, Eric Macdonald, Robert Voigt, and Guha Manogharan, Measurement of metal velocity in sand casting during mold filling, Metals, 9:1079, 2019. doi.org/10.3390/met9101079

71-19   Sebastian Findeisen, Robin Van Der Auwera, Michael Heuser, and Franz-Josef Wöstmann, Gießtechnische Fertigung von E-Motorengehäusen mit interner Kühling (Casting production of electric motor housings with internal cooling), Geisserei, 106, pp. 72-78, 2019 (in German).

58-19     Von Malte Leonhard, Matthias Todte, and Jörg Schäffer, Realistic simulation of the combustion of exothermic feeders, Casting, No. 2, pp. 28-32, 2019. In English and German.

52-19     S. Lakkum and P. Kowitwarangkul, Numerical investigations on the effect of gas flow rate in the gas stirred ladle with dual plugs, International Conference on Materials Research and Innovation (ICMARI), Bangkok, Thailand, December 17-21, 2018. IOP Conference Series: Materials Science and Engineering, Vol. 526, 2019. doi.org/10.1088/1757-899X/526/1/012028

47-19     Bing Zhou, Shuai Lu, Kaile Xu, Chun Xu, and Zhanyong Wang, Microstructure and simulation of semisolid aluminum alloy castings in the process of stirring integrated transfer-heat (SIT) with water cooling, International Journal of Metalcasting, Online edition, pp. 1-13, 2019. doi.org/10.1007/s40962-019-00357-6

31-19     Zihao Yuan, Zhipeng Guo, and S.M. Xiong, Skin layer of A380 aluminium alloy die castings and its blistering during solution treatment, Journal of Materials Science & Technology, Vol. 35, No. 9, pp. 1906-1916, 2019. doi.org/10.1016/j.jmst.2019.05.011

25-19     Stefano Mascetti, Raul Pirovano, and Giulio Timelli, Interazione metallo liquido/stampo: Il fenomeno della metallizzazione, La Metallurgia Italiana, No. 4, pp. 44-50, 2019. In Italian.

20-19     Fu-Yuan Hsu, Campbellology for runner system design, Shape Casting: The Minerals, Metals & Materials Series, pp. 187-199, 2019. doi.org/10.1007/978-3-030-06034-3_19

19-19     Chengcheng Lyu, Michail Papanikolaou, and Mark Jolly, Numerical process modelling and simulation of Campbell running systems designs, Shape Casting: The Minerals, Metals & Materials Series, pp. 53-64, 2019. doi.org/10.1007/978-3-030-06034-3_5

18-19     Adrian V. Catalina, Liping Xue, and Charles Monroe, A solidification model with application to AlSi-based alloys, Shape Casting: The Minerals, Metals & Materials Series, pp. 201-213, 2019. doi.org/10.1007/978-3-030-06034-3_20

17-19     Fu-Yuan Hsu and Yu-Hung Chen, The validation of feeder modeling for ductile iron castings, Shape Casting: The Minerals, Metals & Materials Series, pp. 227-238, 2019. doi.org/10.1007/978-3-030-06034-3_22

04-19   Santosh Reddy Sama, Tony Badamo, Paul Lynch and Guha Manogharan, Novel sprue designs in metal casting via 3D sand-printing, Additive Manufacturing, Vol. 25, pp. 563-578, 2019. doi.org/10.1016/j.addma.2018.12.009

02-19   Jingying Sun, Qichi Le, Li Fu, Jing Bai, Johannes Tretter, Klaus Herbold and Hongwei Huo, Gas entrainment behavior of aluminum alloy engine crankcases during the low-pressure-die-casting-process, Journal of Materials Processing Technology, Vol. 266, pp. 274-282, 2019. doi.org/10.1016/j.jmatprotec.2018.11.016

92-18   Fast, Flexible… More Versatile, Foundry Management Technology, March, 2018. 

82-18   Xu Zhao, Ping Wang, Tao Li, Bo-yu Zhang, Peng Wang, Guan-zhou Wang and Shi-qi Lu, Gating system optimization of high pressure die casting thin-wall AlSi10MnMg longitudinal loadbearing beam based on numerical simulation, China Foundry, Vol. 15, no. 6, pp. 436-442, 2018. doi: 10.1007/s41230-018-8052-z

80-18   Michail Papanikolaou, Emanuele Pagone, Konstantinos Salonitis, Mark Jolly and Charalampos Makatsoris, A computational framework towards energy efficient casting processes, Sustainable Design and Manufacturing 2018: Proceedings of the 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18), Gold Coast, Australia, June 24-26 2018, SIST 130, pp. 263-276, 2019. doi.org/10.1007/978-3-030-04290-5_27

64-18   Vasilios Fourlakidis, Ilia Belov and Attila Diószegi, Strength prediction for pearlitic lamellar graphite iron: Model validation, Metals, Vol. 8, No. 9, 2018. doi.org/10.3390/met8090684

51-18   Xue-feng Zhu, Bao-yi Yu, Li Zheng, Bo-ning Yu, Qiang Li, Shu-ning Lü and Hao Zhang, Influence of pouring methods on filling process, microstructure and mechanical properties of AZ91 Mg alloy pipe by horizontal centrifugal casting, China Foundry, vol. 15, no. 3, pp.196-202, 2018. doi.org/10.1007/s41230-018-7256-6

47-18   Santosh Reddy Sama, Jiayi Wang and Guha Manogharan, Non-conventional mold design for metal casting using 3D sand-printing, Journal of Manufacturing Processes, vol. 34-B, pp. 765-775, 2018. doi.org/10.1016/j.jmapro.2018.03.049

42-18   M. Koru and O. Serçe, The Effects of Thermal and Dynamical Parameters and Vacuum Application on Porosity in High-Pressure Die Casting of A383 Al-Alloy, International Journal of Metalcasting, pp. 1-17, 2018. doi.org/10.1007/s40962-018-0214-7

41-18   Abhilash Viswanath, S. Savithri, U.T.S. Pillai, Similitude analysis on flow characteristics of water, A356 and AM50 alloys during LPC process, Journal of Materials Processing Technology, vol. 257, pp. 270-277, 2018. doi.org/10.1016/j.jmatprotec.2018.02.031

29-18   Seyboldt, Christoph and Liewald, Mathias, Investigation on thixojoining to produce hybrid components with intermetallic phase, AIP Conference Proceedings, vol. 1960, no. 1, 2018. doi.org/10.1063/1.5034992

28-18   Laura Schomer, Mathias Liewald and Kim Rouven Riedmüller, Simulation of the infiltration process of a ceramic open-pore body with a metal alloy in semi-solid state to design the manufacturing of interpenetrating phase composites, AIP Conference Proceedings, vol. 1960, no. 1, 2018. doi.org/10.1063/1.5034991

41-17   Y. N. Wu et al., Numerical Simulation on Filling Optimization of Copper Rotor for High Efficient Electric Motors in Die Casting Process, Materials Science Forum, Vol. 898, pp. 1163-1170, 2017.

12-17   A.M.  Zarubin and O.A. Zarubina, Controlling the flow rate of melt in gravity die casting of aluminum alloys, Liteynoe Proizvodstvo (Casting Manufacturing), pp 16-20, 6, 2017. In Russian.

10-17   A.Y. Korotchenko, Y.V. Golenkov, M.V. Tverskoy and D.E. Khilkov, Simulation of the Flow of Metal Mixtures in the Mold, Liteynoe Proizvodstvo (Casting Manufacturing), pp 18-22, 5, 2017. In Russian.

08-17   Morteza Morakabian Esfahani, Esmaeil Hajjari, Ali Farzadi and Seyed Reza Alavi Zaree, Prediction of the contact time through modeling of heat transfer and fluid flow in compound casting process of Al/Mg light metals, Journal of Materials Research, © Materials Research Society 2017

04-17   Huihui Liu, Xiongwei He and Peng Guo, Numerical simulation on semi-solid die-casting of magnesium matrix composite based on orthogonal experiment, AIP Conference Proceedings 1829, 020037 (2017); doi.org/10.1063/1.4979769.

100-16  Robert Watson, New numerical techniques to quantify and predict the effect of entrainment defects, applied to high pressure die casting, PhD Thesis: University of Birmingham, 2016.

88-16   M.C. Carter, T. Kauffung, L. Weyenberg and C. Peters, Low Pressure Die Casting Simulation Discovery through Short Shot, Cast Expo & Metal Casting Congress, April 16-19, 2016, Minneapolis, MN, Copyright 2016 American Foundry Society.

61-16   M. Koru and O. Serçe, Experimental and numerical determination of casting mold interfacial heat transfer coefficient in the high pressure die casting of a 360 aluminum alloy, ACTA PHYSICA POLONICA A, Vol. 129 (2016)

59-16   R. Pirovano and S. Mascetti, Tracking of collapsed bubbles during a filling simulation, La Metallurgia Italiana – n. 6 2016

43-16   Kevin Lee, Understanding shell cracking during de-wax process in investment casting, Ph.D Thesis: University of Birmingham, School of Engineering, Department of Chemical Engineering, 2016.

35-16   Konstantinos Salonitis, Mark Jolly, Binxu Zeng, and Hamid Mehrabi, Improvements in energy consumption and environmental impact by novel single shot melting process for casting, Journal of Cleaner Production, doi.org/10.1016/j.jclepro.2016.06.165, Open Access funded by Engineering and Physical Sciences Research Council, June 29, 2016

20-16   Fu-Yuan Hsu, Bifilm Defect Formation in Hydraulic Jump of Liquid Aluminum, Metallurgical and Materials Transactions B, 2016, Band: 47, Heft 3, 1634-1648.

15-16   Mingfan Qia, Yonglin Kanga, Bing Zhoua, Wanneng Liaoa, Guoming Zhua, Yangde Lib,and Weirong Li, A forced convection stirring process for Rheo-HPDC aluminum and magnesium alloys, Journal of Materials Processing Technology 234 (2016) 353–367

112-15   José Miguel Gonçalves Ledo Belo da Costa, Optimization of filling systems for low pressure by FLOW-3D, Dissertação de mestrado integrado em Engenharia Mecânica, 2015.

89-15   B.W. Zhu, L.X. Li, X. Liu, L.Q. Zhang and R. Xu, Effect of Viscosity Measurement Method to Simulate High Pressure Die Casting of Thin-Wall AlSi10MnMg Alloy Castings, Journal of Materials Engineering and Performance, Published online, November 2015, doi.org/10.1007/s11665-015-1783-8, © ASM International.

88-15   Peng Zhang, Zhenming Li, Baoliang Liu, Wenjiang Ding and Liming Peng, Improved tensile properties of a new aluminum alloy for high pressure die casting, Materials Science & Engineering A651(2016)376–390, Available online, November 2015.

83-15   Zu-Qi Hu, Xin-Jian Zhang and Shu-Sen Wu, Microstructure, Mechanical Properties and Die-Filling Behavior of High-Performance Die-Cast Al–Mg–Si–Mn Alloy, Acta Metall. Sin. (Engl. Lett.), doi.org/10.1007/s40195-015-0332-7, © The Chinese Society for Metals and Springer-Verlag Berlin Heidelberg 2015.

82-15   J. Müller, L. Xue, M.C. Carter, C. Thoma, M. Fehlbier and M. Todte, A Die Spray Cooling Model for Thermal Die Cycling Simulations, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

81-15   M. T. Murray, L.F. Hansen, L. Chilcott, E. Li and A.M. Murray, Case Studies in the Use of Simulation- Improved Yield and Reduced Time to Market, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

80-15   R. Bhola, S. Chandra and D. Souders, Predicting Castability of Thin-Walled Parts for the HPDC Process Using Simulations, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

76-15   Prosenjit Das, Sudip K. Samanta, Shashank Tiwari and Pradip Dutta, Die Filling Behaviour of Semi Solid A356 Al Alloy Slurry During Rheo Pressure Die Casting, Transactions of the Indian Institute of Metals, pp 1-6, October 2015

74-15   Murat KORU and Orhan SERÇE, Yüksek Basınçlı Döküm Prosesinde Enjeksiyon Parametrelerine Bağlı Olarak Döküm Simülasyon, Cumhuriyet University Faculty of Science, Science Journal (CSJ), Vol. 36, No: 5 (2015) ISSN: 1300-1949, May 2015

69-15   A. Viswanath, S. Sivaraman, U. T. S. Pillai, Computer Simulation of Low Pressure Casting Process Using FLOW-3D, Materials Science Forum, Vols. 830-831, pp. 45-48, September 2015

68-15   J. Aneesh Kumar, K. Krishnakumar and S. Savithri, Computer Simulation of Centrifugal Casting Process Using FLOW-3D, Materials Science Forum, Vols. 830-831, pp. 53-56, September 2015

59-15   F. Hosseini Yekta and S. A. Sadough Vanini, Simulation of the flow of semi-solid steel alloy using an enhanced model, Metals and Materials International, August 2015.

44-15   Ulrich E. Klotz, Tiziana Heiss and Dario Tiberto, Platinum investment casting material properties, casting simulation and optimum process parameters, Jewelry Technology Forum 2015

41-15   M. Barkhudarov and R. Pirovano, Minimizing Air Entrainment in High Pressure Die Casting Shot Sleeves, GIFA 2015, Düsseldorf, Germany

40-15   M. Todte, A. Fent, and H. Lang, Simulation in support of the development of innovative processes in the casting industry, GIFA 2015, Düsseldorf, Germany

19-15   Bruce Morey, Virtual casting improves powertrain design, Automotive Engineering, SAE International, March 2015.

15-15   K.S. Oh, J.D. Lee, S.J. Kim and J.Y. Choi, Development of a large ingot continuous caster, Metall. Res. Technol. 112, 203 (2015) © EDP Sciences, 2015, doi.org/10.1051/metal/2015006, www.metallurgical-research.org

14-15   Tiziana Heiss, Ulrich E. Klotz and Dario Tiberto, Platinum Investment Casting, Part I: Simulation and Experimental Study of the Casting Process, Johnson Matthey Technol. Rev., 2015, 59, (2), 95, doi.org/10.1595/205651315×687399

138-14 Christopher Thoma, Wolfram Volk, Ruben Heid, Klaus Dilger, Gregor Banner and Harald Eibisch, Simulation-based prediction of the fracture elongation as a failure criterion for thin-walled high-pressure die casting components, International Journal of Metalcasting, Vol. 8, No. 4, pp. 47-54, 2014. doi.org/10.1007/BF03355594

107-14  Mehran Seyed Ahmadi, Dissolution of Si in Molten Al with Gas Injection, ProQuest Dissertations And Theses; Thesis (Ph.D.), University of Toronto (Canada), 2014; Publication Number: AAT 3637106; ISBN: 9781321195231; Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.; 191 p.

99-14   R. Bhola and S. Chandra, Predicting Castability for Thin-Walled HPDC Parts, Foundry Management Technology, December 2014

92-14   Warren Bishenden and Changhua Huang, Venting design and process optimization of die casting process for structural components; Part II: Venting design and process optimization, Die Casting Engineer, November 2014

90-14   Ken’ichi Kanazawa, Ken’ichi Yano, Jun’ichi Ogura, and Yasunori Nemoto, Optimum Runner Design for Die-Casting using CFD Simulations and Verification with Water-Model Experiments, Proceedings of the ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE2014, November 14-20, 2014, Montreal, Quebec, Canada, IMECE2014-37419

89-14   P. Kapranos, C. Carney, A. Pola, and M. Jolly, Advanced Casting Methodologies: Investment Casting, Centrifugal Casting, Squeeze Casting, Metal Spinning, and Batch Casting, In Comprehensive Materials Processing; McGeough, J., Ed.; 2014, Elsevier Ltd., 2014; Vol. 5, pp 39–67.

77-14   Andrei Y. Korotchenko, Development of Scientific and Technological Approaches to Casting Net-Shaped Castings in Sand Molds Free of Shrinkage Defects and Hot Tears, Post-doctoral thesis: Russian State Technological University, 2014. In Russian.

69-14   L. Xue, M.C. Carter, A.V. Catalina, Z. Lin, C. Li, and C. Qiu, Predicting, Preventing Core Gas Defects in Steel Castings, Modern Casting, September 2014

68-14   L. Xue, M.C. Carter, A.V. Catalina, Z. Lin, C. Li, and C. Qiu, Numerical Simulation of Core Gas Defects in Steel Castings, Copyright 2014 American Foundry Society, 118th Metalcasting Congress, April 8 – 11, 2014, Schaumburg, IL

51-14   Jesus M. Blanco, Primitivo Carranza, Rafael Pintos, Pedro Arriaga, and Lakhdar Remaki, Identification of Defects Originated during the Filling of Cast Pieces through Particles Modelling, 11th World Congress on Computational Mechanics (WCCM XI), 5th European Conference on Computational Mechanics (ECCM V), 6th European Conference on Computational Fluid Dynamics (ECFD VI), E. Oñate, J. Oliver and A. Huerta (Eds)

47-14   B. Vijaya Ramnatha, C.Elanchezhiana, Vishal Chandrasekhar, A. Arun Kumarb, S. Mohamed Asif, G. Riyaz Mohamed, D. Vinodh Raj , C .Suresh Kumar, Analysis and Optimization of Gating System for Commutator End Bracket, Procedia Materials Science 6 ( 2014 ) 1312 – 1328, 3rd International Conference on Materials Processing and Characterisation (ICMPC 2014)

42-14  Bing Zhou, Yong-lin Kang, Guo-ming Zhu, Jun-zhen Gao, Ming-fan Qi, and Huan-huan Zhang, Forced convection rheoforming process for preparation of 7075 aluminum alloy semisolid slurry and its numerical simulation, Trans. Nonferrous Met. Soc. China 24(2014) 1109−1116

37-14    A. Karwinski, W. Lesniewski, P. Wieliczko, and M. Malysza, Casting of Titanium Alloys in Centrifugal Induction Furnaces, Archives of Metallurgy and Materials, Volume 59, Issue 1, doi.org/10.2478/amm-2014-0068, 2014.

26-14    Bing Zhou, Yonglin Kang, Mingfan Qi, Huanhuan Zhang and Guoming Zhu, R-HPDC Process with Forced Convection Mixing Device for Automotive Part of A380 Aluminum Alloy, Materials 2014, 7, 3084-3105; doi.org/10.3390/ma7043084

20-14  Johannes Hartmann, Tobias Fiegl, Carolin Körner, Aluminum integral foams with tailored density profile by adapted blowing agents, Applied Physics A, doi.org/10.1007/s00339-014-8377-4, March 2014.

19-14    A.Y. Korotchenko, N.A. Nikiforova, E.D. Demjanov, N.C. Larichev, The Influence of the Filling Conditions on the Service Properties of the Part Side Frame, Russian Foundryman, 1 (January), pp 40-43, 2014. In Russian.

11-14 B. Fuchs and C. Körner, Mesh resolution consideration for the viability prediction of lost salt cores in the high pressure die casting process, Progress in Computational Fluid Dynamics, Vol. 14, No. 1, 2014, Copyright © 2014 Inderscience Enterprises Ltd.

08-14 FY Hsu, SW Wang, and HJ Lin, The External and Internal Shrinkages in Aluminum Gravity Castings, Shape Casting: 5th International Symposium 2014. Available online at Google Books

103-13  B. Fuchs, H. Eibisch and C. Körner, Core Viability Simulation for Salt Core Technology in High-Pressure Die Casting, International Journal of Metalcasting, July 2013, Volume 7, Issue 3, pp 39–45

94-13    Randall S. Fielding, J. Crapps, C. Unal, and J.R.Kennedy, Metallic Fuel Casting Development and Parameter Optimization Simulations, International Conference on Fast reators and Related Fuel Cycles (FR13), 4-7 March 2013, Paris France

90-13  A. Karwińskia, M. Małyszaa, A. Tchórza, A. Gila, B. Lipowska, Integration of Computer Tomography and Simulation Analysis in Evaluation of Quality of Ceramic-Carbon Bonded Foam Filter, Archives of Foundry Engineering, doi.org/10.2478/afe-2013-0084, Published quarterly as the organ of the Foundry Commission of the Polish Academy of Sciences, ISSN, (2299-2944), Volume 13, Issue 4/2013

88-13  Litie and Metallurgia (Casting and Metallurgy), 3 (72), 2013, N.V.Sletova, I.N.Volnov, S.P.Zadrutsky, V.A.Chaikin, Modeling of the Process of Removing Non-metallic Inclusions in Aluminum Alloys Using the FLOW-3D program, pp 138-140. In Russian.

85-13    Michał Szucki,Tomasz Goraj, Janusz Lelito, Józef S. Suchy, Numerical Analysis of Solid Particles Flow in Liquid Metal, XXXVII International Scientific Conference Foundryman’ Day 2013, Krakow, 28-29 November 2013

84-13  Körner, C., Schwankl, M., Himmler, D., Aluminum-Aluminum compound castings by electroless deposited zinc layers, Journal of Materials Processing Technology (2014), doi.org/10.1016/j.jmatprotec.2013.12.01483-13.

77-13  Antonio Armillotta & Raffaello Baraggi & Simone Fasoli, SLM tooling for die casting with conformal cooling channels, The International Journal of Advanced Manufacturing Technology, doi.org/10.1007/s00170-013-5523-7, December 2013.

64-13   Johannes Hartmann, Christina Blümel, Stefan Ernst, Tobias Fiegl, Karl-Ernst Wirth, Carolin Körner, Aluminum integral foam castings with microcellular cores by nano-functionalization, J Mater Sci, doi.org/10.1007/s10853-013-7668-z, September 2013.

46-13  Nicholas P. Orenstein, 3D Flow and Temperature Analysis of Filling a Plutonium Mold, LA-UR-13-25537, Approved for public release; distribution is unlimited. Los Alamos Annual Student Symposium 2013, 2013-07-24 (Rev.1)

42-13   Yang Yue, William D. Griffiths, and Nick R. Green, Modelling of the Effects of Entrainment Defects on Mechanical Properties in a Cast Al-Si-Mg Alloy, Materials Science Forum, 765, 225, 2013.

39-13  J. Crapps, D.S. DeCroix, J.D Galloway, D.A. Korzekwa, R. Aikin, R. Fielding, R. Kennedy, C. Unal, Separate effects identification via casting process modeling for experimental measurement of U-Pu-Zr alloys, Journal of Nuclear Materials, 15 July 2013.

35-13   A. Pari, Real Life Problem Solving through Simulations in the Die Casting Industry – Case Studies, © Die Casting Engineer, July 2013.

34-13  Martin Lagler, Use of Simulation to Predict the Viability of Salt Cores in the HPDC Process – Shot Curve as a Decisive Criterion, © Die Casting Engineer, July 2013.

24-13    I.N.Volnov, Optimizatsia Liteynoi Tekhnologii, (Casting Technology Optimization), Liteyshik Rossii (Russian Foundryman), 3, 2013, 27-29. In Russian

23-13  M.R. Barkhudarov, I.N. Volnov, Minimizatsia Zakhvata Vozdukha v Kamere Pressovania pri Litie pod Davleniem, (Minimization of Air Entrainment in the Shot Sleeve During High Pressure Die Casting), Liteyshik Rossii (Russian Foundryman), 3, 2013, 30-34. In Russian

09-13  M.C. Carter and L. Xue, Simulating the Parameters that Affect Core Gas Defects in Metal Castings, Copyright 2012 American Foundry Society, Presented at the 2013 CastExpo, St. Louis, Missouri, April 2013

08-13  C. Reilly, N.R. Green, M.R. Jolly, J.-C. Gebelin, The Modelling Of Oxide Film Entrainment In Casting Systems Using Computational Modelling, Applied Mathematical Modelling, http://dx.doi.org/10.1016/j.apm.2013.03.061, April 2013.

03-13  Alexandre Reikher and Krishna M. Pillai, A fast simulation of transient metal flow and solidification in a narrow channel. Part II. Model validation and parametric study, Int. J. Heat Mass Transfer (2013), http://dx.doi.org/10.1016/j.ijheatmasstransfer.2012.12.061.

02-13  Alexandre Reikher and Krishna M. Pillai, A fast simulation of transient metal flow and solidification in a narrow channel. Part I: Model development using lubrication approximation, Int. J. Heat Mass Transfer (2013), http://dx.doi.org/10.1016/j.ijheatmasstransfer.2012.12.060.

116-12  Jufu Jianga, Ying Wang, Gang Chena, Jun Liua, Yuanfa Li and Shoujing Luo, “Comparison of mechanical properties and microstructure of AZ91D alloy motorcycle wheels formed by die casting and double control forming, Materials & Design, Volume 40, September 2012, Pages 541-549.

107-12  F.K. Arslan, A.H. Hatman, S.Ö. Ertürk, E. Güner, B. Güner, An Evaluation for Fundamentals of Die Casting Materials Selection and Design, IMMC’16 International Metallurgy & Materials Congress, Istanbul, Turkey, 2012.

103-12 WU Shu-sen, ZHONG Gu, AN Ping, WAN Li, H. NAKAE, Microstructural characteristics of Al−20Si−2Cu−0.4Mg−1Ni alloy formed by rheo-squeeze casting after ultrasonic vibration treatment, Transactions of Nonferrous Metals Society of China, 22 (2012) 2863-2870, November 2012. Full paper available online.

109-12 Alexandre Reikher, Numerical Analysis of Die-Casting Process in Thin Cavities Using Lubrication Approximation, Ph.D. Thesis: The University of Wisconsin Milwaukee, Engineering Department (2012) Theses and Dissertations. Paper 65.

97-12 Hong Zhou and Li Heng Luo, Filling Pattern of Step Gating System in Lost Foam Casting Process and its Application, Advanced Materials Research, Volumes 602-604, Progress in Materials and Processes, 1916-1921, December 2012.

93-12  Liangchi Zhang, Chunliang Zhang, Jeng-Haur Horng and Zichen Chen, Functions of Step Gating System in the Lost Foam Casting Process, Advanced Materials Research, 591-593, 940, DOI: 10.4028/www.scientific.net/AMR.591-593.940, November 2012.

91-12  Hong Yan, Jian Bin Zhu, Ping Shan, Numerical Simulation on Rheo-Diecasting of Magnesium Matrix Composites, 10.4028/www.scientific.net/SSP.192-193.287, Solid State Phenomena, 192-193, 287.

89-12  Alexandre Reikher and Krishna M. Pillai, A Fast Numerical Simulation for Modeling Simultaneous Metal Flow and Solidification in Thin Cavities Using the Lubrication Approximation, Numerical Heat Transfer, Part A: Applications: An International Journal of Computation and Methodology, 63:2, 75-100, November 2012.

82-12  Jufu Jiang, Gang Chen, Ying Wang, Zhiming Du, Weiwei Shan, and Yuanfa Li, Microstructure and mechanical properties of thin-wall and high-rib parts of AM60B Mg alloy formed by double control forming and die casting under the optimal conditions, Journal of Alloys and Compounds, http://dx.doi.org/10.1016/j.jallcom.2012.10.086, October 2012.

78-12   A. Pari, Real Life Problem Solving through Simulations in the Die Casting Industry – Case Studies, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

77-12  Y. Wang, K. Kabiri-Bamoradian and R.A. Miller, Rheological behavior models of metal matrix alloys in semi-solid casting process, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

76-12  A. Reikher and H. Gerber, Analysis of Solidification Parameters During the Die Cast Process, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

75-12 R.A. Miller, Y. Wang and K. Kabiri-Bamoradian, Estimating Cavity Fill Time, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

65-12  X.H. Yang, T.J. Lu, T. Kim, Influence of non-conducting pore inclusions on phase change behavior of porous media with constant heat flux boundary, International Journal of Thermal Sciences, Available online 10 October 2012. Available online at SciVerse.

55-12  Hejun Li, Pengyun Wang, Lehua Qi, Hansong Zuo, Songyi Zhong, Xianghui Hou, 3D numerical simulation of successive deposition of uniform molten Al droplets on a moving substrate and experimental validation, Computational Materials Science, Volume 65, December 2012, Pages 291–301.

52-12 Hongbing Ji, Yixin Chen and Shengzhou Chen, Numerical Simulation of Inner-Outer Couple Cooling Slab Continuous Casting in the Filling Process, Advanced Materials Research (Volumes 557-559), Advanced Materials and Processes II, pp. 2257-2260, July 2012.

47-12    Petri Väyrynen, Lauri Holappa, and Seppo Louhenkilpi, Simulation of Melting of Alloying Materials in Steel Ladle, SCANMET IV – 4th International Conference on Process Development in Iron and Steelmaking, Lulea, Sweden, June 10-13, 2012.

46-12  Bin Zhang and Dave Salee, Metal Flow and Heat Transfer in Billet DC Casting Using Wagstaff® Optifill™ Metal Distribution Systems, 5th International Metal Quality Workshop, United Arab Emirates Dubai, March 18-22, 2012.

45-12 D.R. Gunasegaram, M. Givord, R.G. O’Donnell and B.R. Finnin, Improvements engineered in UTS and elongation of aluminum alloy high pressure die castings through the alteration of runner geometry and plunger velocity, Materials Science & Engineering.

44-12    Antoni Drys and Stefano Mascetti, Aluminum Casting Simulations, Desktop Engineering, September 2012

42-12   Huizhen Duan, Jiangnan Shen and Yanping Li, Comparative analysis of HPDC process of an auto part with ProCAST and FLOW-3D, Applied Mechanics and Materials Vols. 184-185 (2012) pp 90-94, Online available since 2012/Jun/14 at www.scientific.net, © (2012) Trans Tech Publications, Switzerland, doi:10.4028/www.scientific.net/AMM.184-185.90.

41-12    Deniece R. Korzekwa, Cameron M. Knapp, David A. Korzekwa, and John W. Gibbs, Co-Design – Fabrication of Unalloyed Plutonium, LA-UR-12-23441, MDI Summer Research Group Workshop Advanced Manufacturing, 2012-07-25/2012-07-26 (Los Alamos, New Mexico, United States)

29-12  Dario Tiberto and Ulrich E. Klotz, Computer simulation applied to jewellery casting: challenges, results and future possibilities, IOP Conf. Ser.: Mater. Sci. Eng.33 012008. Full paper available at IOP.

28-12  Y Yue and N R Green, Modelling of different entrainment mechanisms and their influences on the mechanical reliability of Al-Si castings, 2012 IOP Conf. Ser.: Mater. Sci. Eng. 33,012072.Full paper available at IOP.

27-12  E Kaschnitz, Numerical simulation of centrifugal casting of pipes, 2012 IOP Conf. Ser.: Mater. Sci. Eng. 33 012031, Issue 1. Full paper available at IOP.

15-12  C. Reilly, N.R Green, M.R. Jolly, The Present State Of Modeling Entrainment Defects In The Shape Casting Process, Applied Mathematical Modelling, Available online 27 April 2012, ISSN 0307-904X, 10.1016/j.apm.2012.04.032.

12-12   Andrei Starobin, Tony Hirt, Hubert Lang, and Matthias Todte, Core drying simulation and validation, International Foundry Research, GIESSEREIFORSCHUNG 64 (2012) No. 1, ISSN 0046-5933, pp 2-5

10-12  H. Vladimir Martínez and Marco F. Valencia (2012). Semisolid Processing of Al/β-SiC Composites by Mechanical Stirring Casting and High Pressure Die Casting, Recent Researches in Metallurgical Engineering – From Extraction to Forming, Dr Mohammad Nusheh (Ed.), ISBN: 978-953-51-0356-1, InTech

07-12     Amir H. G. Isfahani and James M. Brethour, Simulating Thermal Stresses and Cooling Deformations, Die Casting Engineer, March 2012

06-12   Shuisheng Xie, Youfeng He and Xujun Mi, Study on Semi-solid Magnesium Alloys Slurry Preparation and Continuous Roll-casting Process, Magnesium Alloys – Design, Processing and Properties, ISBN: 978-953-307-520-4, InTech.

04-12 J. Spangenberg, N. Roussel, J.H. Hattel, H. Stang, J. Skocek, M.R. Geiker, Flow induced particle migration in fresh concrete: Theoretical frame, numerical simulations and experimental results on model fluids, Cement and Concrete Research, http://dx.doi.org/10.1016/j.cemconres.2012.01.007, February 2012.

01-12   Lee, B., Baek, U., and Han, J., Optimization of Gating System Design for Die Casting of Thin Magnesium Alloy-Based Multi-Cavity LCD Housings, Journal of Materials Engineering and Performance, Springer New York, Issn: 1059-9495, 10.1007/s11665-011-0111-1, Volume 1 / 1992 – Volume 21 / 2012. Available online at Springer Link.

104-11  Fu-Yuan Hsu and Huey Jiuan Lin, Foam Filters Used in Gravity Casting, Metall and Materi Trans B (2011) 42: 1110. doi:10.1007/s11663-011-9548-8.

99-11    Eduardo Trejo, Centrifugal Casting of an Aluminium Alloy, thesis: Doctor of Philosophy, Metallurgy and Materials School of Engineering University of Birmingham, October 2011. Full paper available upon request.

93-11  Olga Kononova, Andrejs Krasnikovs ,Videvuds Lapsa,Jurijs Kalinka and Angelina Galushchak, Internal Structure Formation in High Strength Fiber Concrete during Casting, World Academy of Science, Engineering and Technology 59 2011

76-11  J. Hartmann, A. Trepper, and C. Körner, Aluminum Integral Foams with Near-Microcellular Structure, Advanced Engineering Materials 2011, Volume 13 (2011) No. 11, © Wiley-VCH

71-11  Fu-Yuan Hsu and Yao-Ming Yang Confluence Weld in an Aluminum Gravity Casting, Journal of Materials Processing Technology, Available online 23 November 2011, ISSN 0924-0136, 10.1016/j.jmatprotec.2011.11.006.

65-11     V.A. Chaikin, A.V. Chaikin, I.N.Volnov, A Study of the Process of Late Modification Using Simulation, in Zagotovitelnye Proizvodstva v Mashinostroenii, 10, 2011, 8-12. In Russian.

54-11  Ngadia Taha Niane and Jean-Pierre Michalet, Validation of Foundry Process for Aluminum Parts with FLOW-3D Software, Proceedings of the 2011 International Symposium on Liquid Metal Processing and Casting, 2011.

51-11    A. Reikher and H. Gerber, Calculation of the Die Cast parameters of the Thin Wall Aluminum Cast Part, 2011 Die Casting Congress & Tabletop, Columbus, OH, September 19-21, 2011

50-11   Y. Wang, K. Kabiri-Bamoradian, and R.A. Miller, Runner design optimization based on CFD simulation for a die with multiple cavities, 2011 Die Casting Congress & Tabletop, Columbus, OH, September 19-21, 2011

48-11 A. Karwiński, W. Leśniewski, S. Pysz, P. Wieliczko, The technology of precision casting of titanium alloys by centrifugal process, Archives of Foundry Engineering, ISSN: 1897-3310), Volume 11, Issue 3/2011, 73-80, 2011.

46-11  Daniel Einsiedler, Entwicklung einer Simulationsmethodik zur Simulation von Strömungs- und Trocknungsvorgängen bei Kernfertigungsprozessen mittels CFD (Development of a simulation methodology for simulating flow and drying operations in core production processes using CFD), MSc thesis at Technical University of Aalen in Germany (Hochschule Aalen), 2011.

44-11  Bin Zhang and Craig Shaber, Aluminum Ingot Thermal Stress Development Modeling of the Wagstaff® EpsilonTM Rolling Ingot DC Casting System during the Start-up Phase, Materials Science Forum Vol. 693 (2011) pp 196-207, © 2011 Trans Tech Publications, July, 2011.

43-11 Vu Nguyen, Patrick Rohan, John Grandfield, Alex Levin, Kevin Naidoo, Kurt Oswald, Guillaume Girard, Ben Harker, and Joe Rea, Implementation of CASTfill low-dross pouring system for ingot casting, Materials Science Forum Vol. 693 (2011) pp 227-234, © 2011 Trans Tech Publications, July, 2011.

40-11  A. Starobin, D. Goettsch, M. Walker, D. Burch, Gas Pressure in Aluminum Block Water Jacket Cores, © 2011 American Foundry Society, International Journal of Metalcasting/Summer 2011

37-11 Ferencz Peti, Lucian Grama, Analyze of the Possible Causes of Porosity Type Defects in Aluminum High Pressure Diecast Parts, Scientific Bulletin of the Petru Maior University of Targu Mures, Vol. 8 (XXV) no. 1, 2011, ISSN 1841-9267

31-11  Johannes Hartmann, André Trepper, Carolin Körner, Aluminum Integral Foams with Near-Microcellular Structure, Advanced Engineering Materials, 13: n/a. doi: 10.1002/adem.201100035, June 2011.

27-11  A. Pari, Optimization of HPDC Process using Flow Simulation Case Studies, Die Casting Engineer, July 2011

26-11    A. Reikher, H. Gerber, Calculation of the Die Cast Parameters of the Thin Wall Aluminum Die Casting Part, Die Casting Engineer, July 2011

21-11 Thang Nguyen, Vu Nguyen, Morris Murray, Gary Savage, John Carrig, Modelling Die Filling in Ultra-Thin Aluminium Castings, Materials Science Forum (Volume 690), Light Metals Technology V, pp 107-111, 10.4028/www.scientific.net/MSF.690.107, June 2011.

19-11 Jon Spangenberg, Cem Celal Tutum, Jesper Henri Hattel, Nicolas Roussel, Metter Rica Geiker, Optimization of Casting Process Parameters for Homogeneous Aggregate Distribution in Self-Compacting Concrete: A Feasibility Study, © IEEE Congress on Evolutionary Computation, 2011, New Orleans, USA

16-11  A. Starobin, C.W. Hirt, H. Lang, and M. Todte, Core Drying Simulation and Validations, AFS Proceedings 2011, © American Foundry Society, Presented at the 115th Metalcasting Congress, Schaumburg, Illinois, April 2011.

15-11  J. J. Hernández-Ortega, R. Zamora, J. López, and F. Faura, Numerical Analysis of Air Pressure Effects on the Flow Pattern during the Filling of a Vertical Die Cavity, AIP Conf. Proc., Volume 1353, pp. 1238-1243, The 14th International Esaform Conference on Material Forming: Esaform 2011; doi:10.1063/1.3589686, May 2011. Available online.

10-11 Abbas A. Khalaf and Sumanth Shankar, Favorable Environment for Nondentric Morphology in Controlled Diffusion Solidification, DOI: 10.1007/s11661-011-0641-z, © The Minerals, Metals & Materials Society and ASM International 2011, Metallurgical and Materials Transactions A, March 11, 2011.

08-11 Hai Peng Li, Chun Yong Liang, Li Hui Wang, Hong Shui Wang, Numerical Simulation of Casting Process for Gray Iron Butterfly Valve, Advanced Materials Research, 189-193, 260, February 2011.

04-11  C.W. Hirt, Predicting Core Shooting, Drying and Defect Development, Foundry Management & Technology, January 2011.

76-10  Zhizhong Sun, Henry Hu, Alfred Yu, Numerical Simulation and Experimental Study of Squeeze Casting Magnesium Alloy AM50, Magnesium Technology 2010, 2010 TMS Annual Meeting & Exhibition, February 14-18, 2010, Seattle, WA.

68-10  A. Reikher, H. Gerber, K.M. Pillai, T.-C. Jen, Natural Convection—An Overlooked Phenomenon of the Solidification Process, Die Casting Engineer, January 2010

54-10    Andrea Bernardoni, Andrea Borsi, Stefano Mascetti, Alessandro Incognito and Matteo Corrado, Fonderia Leonardo aveva ragione! L’enorme cavallo dedicato a Francesco Sforza era materialmente realizzabile, A&C – Analisis e Calcolo, Giugno 2010. In  Italian.

48-10  J. J. Hernández-Ortega, R. Zamora, J. Palacios, J. López and F. Faura, An Experimental and Numerical Study of Flow Patterns and Air Entrapment Phenomena During the Filling of a Vertical Die Cavity, J. Manuf. Sci. Eng., October 2010, Volume 132, Issue 5, 05101, doi:10.1115/1.4002535.

47-10  A.V. Chaikin, I.N. Volnov, and V.A. Chaikin, Development of Dispersible Mixed Inoculant Compositions Using the FLOW-3D Program, Liteinoe Proizvodstvo, October, 2010, in Russian.

42-10  H. Lakshmi, M.C. Vinay Kumar, Raghunath, P. Kumar, V. Ramanarayanan, K.S.S. Murthy, P. Dutta, Induction reheating of A356.2 aluminum alloy and thixocasting as automobile component, Transactions of Nonferrous Metals Society of China 20(20101) s961-s967.

41-10  Pamela J. Waterman, Understanding Core-Gas Defects, Desktop Engineering, October 2010. Available online at Desktop Engineering. Also published in the Foundry Trade Journal, November 2010.

39-10  Liu Zheng, Jia Yingying, Mao Pingli, Li Yang, Wang Feng, Wang Hong, Zhou Le, Visualization of Die Casting Magnesium Alloy Steering Bracket, Special Casting & Nonferrous Alloys, ISSN: 1001-2249, CN: 42-1148/TG, 2010-04. In Chinese.

37-10  Morris Murray, Lars Feldager Hansen, and Carl Reinhardt, I Have Defects – Now What, Die Casting Engineer, September 2010

36-10  Stefano Mascetti, Using Flow Analysis Software to Optimize Piston Velocity for an HPDC Process, Die Casting Engineer, September 2010. Also available in Italian: Ottimizzare la velocita del pistone in pressofusione.  A & C, Analisi e Calcolo, Anno XII, n. 42, Gennaio 2011, ISSN 1128-3874.

32-10  Guan Hai Yan, Sheng Dun Zhao, Zheng Hui Sha, Parameters Optimization of Semisolid Diecasting Process for Air-Conditioner’s Triple Valve in HPb59-1 Alloy, Advanced Materials Research (Volumes 129 – 131), Vol. Material and Manufacturing Technology, pp. 936-941, DOI: 10.4028/www.scientific.net/AMR.129-131.936, August 2010.

29-10 Zheng Peng, Xu Jun, Zhang Zhifeng, Bai Yuelong, and Shi Likai, Numerical Simulation of Filling of Rheo-diecasting A357 Aluminum Alloy, Special Casting & Nonferrous Alloys, DOI: CNKI:SUN:TZZZ.0.2010-01-024, 2010.

27-10 For an Aerospace Diecasting, Littler Uses Simulation to Reveal Defects, and Win a New Order, Foundry Management & Technology, July 2010

23-10 Michael R. Barkhudarov, Minimizing Air Entrainment, The Canadian Die Caster, June 2010

15-10 David H. Kirkwood, Michel Suery, Plato Kapranos, Helen V. Atkinson, and Kenneth P. Young, Semi-solid Processing of Alloys, 2010, XII, 172 p. 103 illus., 19 in color., Hardcover ISBN: 978-3-642-00705-7.

09-10  Shannon Wetzel, Fullfilling Da Vinci’s Dream, Modern Casting, April 2010.

08-10 B.I. Semenov, K.M. Kushtarov, Semi-solid Manufacturing of Castings, New Industrial Technologies, Publication of Moscow State Technical University n.a. N.E. Bauman, 2009 (in Russian)

07-10 Carl Reilly, Development Of Quantitative Casting Quality Assessment Criteria Using Process Modelling, thesis: The University of Birmingham, March 2010 (Available upon request)

06-10 A. Pari, Optimization of HPDC Process using Flow Simulation – Case Studies, CastExpo ’10, NADCA, Orlando, Florida, March 2010

05-10 M.C. Carter, S. Palit, and M. Littler, Characterizing Flow Losses Occurring in Air Vents and Ejector Pins in High Pressure Die Castings, CastExpo ’10, NADCA, Orlando, Florida, March 2010

04-10 Pamela Waterman, Simulating Porosity Factors, Foundry Management Technology, March 2010, Article available at Foundry Management Technology

03-10 C. Reilly, M.R. Jolly, N.R. Green, JC Gebelin, Assessment of Casting Filling by Modeling Surface Entrainment Events Using CFD, 2010 TMS Annual Meeting & Exhibition (Jim Evans Honorary Symposium), Seattle, Washington, USA, February 14-18, 2010

02-10 P. Väyrynen, S. Wang, J. Laine and S.Louhenkilpi, Control of Fluid Flow, Heat Transfer and Inclusions in Continuous Casting – CFD and Neural Network Studies, 2010 TMS Annual Meeting & Exhibition (Jim Evans Honorary Symposium), Seattle, Washington, USA, February 14-18, 2010

60-09   Somlak Wannarumon, and Marco Actis Grande, Comparisons of Computer Fluid Dynamic Software Programs applied to Jewelry Investment Casting Process, World Academy of Science, Engineering and Technology 55 2009.

59-09   Marco Actis Grande and Somlak Wannarumon, Numerical Simulation of Investment Casting of Gold Jewelry: Experiments and Validations, World Academy of Science, Engineering and Technology, Vol:3 2009-07-24

56-09  Jozef Kasala, Ondrej Híreš, Rudolf Pernis, Start-up Phase Modeling of Semi Continuous Casting Process of Brass Billets, Metal 2009, 19.-21.5.2009

51-09  In-Ting Hong, Huan-Chien Tung, Chun-Hao Chiu and Hung-Shang Huang, Effect of Casting Parameters on Microstructure and Casting Quality of Si-Al Alloy for Vacuum Sputtering, China Steel Technical Report, No. 22, pp. 33-40, 2009.

42-09  P. Väyrynen, S. Wang, S. Louhenkilpi and L. Holappa, Modeling and Removal of Inclusions in Continuous Casting, Materials Science & Technology 2009 Conference & Exhibition, Pittsburgh, Pennsylvania, USA, October 25-29, 2009

41-09 O.Smirnov, P.Väyrynen, A.Kravchenko and S.Louhenkilpi, Modern Methods of Modeling Fluid Flow and Inclusions Motion in Tundish Bath – General View, Proceedings of Steelsim 2009 – 3rd International Conference on Simulation and Modelling of Metallurgical Processes in Steelmaking, Leoben, Austria, September 8-10, 2009

21-09 A. Pari, Case Studies – Optimization of HPDC Process Using Flow Simulation, Die Casting Engineer, July 2009

20-09 M. Sirvio, M. Wos, Casting directly from a computer model by using advanced simulation software, FLOW-3D Cast, Archives of Foundry Engineering Volume 9, Issue 1/2009, 79-82

19-09 Andrei Starobin, C.W. Hirt, D. Goettsch, A Model for Binder Gas Generation and Transport in Sand Cores and Molds, Modeling of Casting, Welding, and Solidification Processes XII, TMS (The Minerals, Metals & Minerals Society), June 2009

11-09 Michael Barkhudarov, Minimizing Air Entrainment in a Shot Sleeve during Slow-Shot Stage, Die Casting Engineer (The North American Die Casting Association ISSN 0012-253X), May 2009

10-09 A. Reikher, H. Gerber, Application of One-Dimensional Numerical Simulation to Optimize Process Parameters of a Thin-Wall Casting in High Pressure Die Casting, Die Casting Engineer (The North American Die Casting Association ISSN 0012-253X), May 2009

7-09 Andrei Starobin, Simulation of Core Gas Evolution and Flow, presented at the North American Die Casting Association – 113th Metalcasting Congress, April 7-10, 2009, Las Vegas, Nevada, USA

6-09 A.Pari, Optimization of HPDC PROCESS: Case Studies, North American Die Casting Association – 113th Metalcasting Congress, April 7-10, 2009, Las Vegas, Nevada, USA

2-09 C. Reilly, N.R. Green and M.R. Jolly, Oxide Entrainment Structures in Horizontal Running Systems, TMS 2009, San Francisco, California, February 2009

30-08 I.N.Volnov, Computer Modeling of Casting of Pipe Fittings, © 2008, Pipe Fittings, 5 (38), 2008. Russian version

28-08 A.V.Chaikin, I.N.Volnov, V.A.Chaikin, Y.A.Ukhanov, N.R.Petrov, Analysis of the Efficiency of Alloy Modifiers Using Statistics and Modeling, © 2008, Liteyshik Rossii (Russian Foundryman), October, 2008

27-08 P. Scarber, Jr., H. Littleton, Simulating Macro-Porosity in Aluminum Lost Foam Castings, American Foundry Society, © 2008, AFS Lost Foam Conference, Asheville, North Carolina, October, 2008

25-08 FMT Staff, Forecasting Core Gas Pressures with Computer Simulation, Foundry Management and Technology, October 28, 2008 © 2008 Penton Media, Inc. Online article

24-08 Core and Mold Gas Evolution, Foundry Management and Technology, January 24, 2008 (excerpted from the FM&T May 2007 issue) © 2008 Penton Media, Inc.

22-08 Mark Littler, Simulation Eliminates Die Casting Scrap, Modern Casting/September 2008

21-08 X. Chen, D. Penumadu, Permeability Measurement and Numerical Modeling for Refractory Porous Materials, AFS Transactions © 2008 American Foundry Society, CastExpo ’08, Atlanta, Georgia, May 2008

20-08 Rolf Krack, Using Solidification Simulations for Optimising Die Cooling Systems, FTJ July/August 2008

19-08 Mark Littler, Simulation Software Eliminates Die Casting Scrap, ECS Casting Innovations, July/August 2008

13-08 T. Yoshimura, K. Yano, T. Fukui, S. Yamamoto, S. Nishido, M. Watanabe and Y. Nemoto, Optimum Design of Die Casting Plunger Tip Considering Air Entrainment, Proceedings of 10th Asian Foundry Congress (AFC10), Nagoya, Japan, May 2008

08-08 Stephen Instone, Andreas Buchholz and Gerd-Ulrich Gruen, Inclusion Transport Phenomena in Casting Furnaces, Light Metals 2008, TMS (The Minerals, Metals & Materials Society), 2008

07-08 P. Scarber, Jr., H. Littleton, Simulating Macro-Porosity in Aluminum Lost Foam Casting, AFS Transactions 2008 © American Foundry Society, CastExpo ’08, Atlanta, Georgia, May 2008

06-08 A. Reikher, H. Gerber and A. Starobin, Multi-Stage Plunger Deceleration System, CastExpo ’08, NADCA, Atlanta, Georgia, May 2008

05-08 Amol Palekar, Andrei Starobin, Alexander Reikher, Die-casting end-of-fill and drop forge viscometer flow transients examined with a coupled-motion numerical model, 68th World Foundry Congress, Chennai, India, February 2008

03-08 Petri J. Väyrynen, Sami K. Vapalahti and Seppo J. Louhenkilpi, On Validation of Mathematical Fluid Flow Models for Simulation of Tundish Water Models and Industrial Examples, AISTech 2008, May 2008

53-07   A. Kermanpur, Sh. Mahmoudi and A. Hajipour, Three-dimensional Numerical Simulation of Metal Flow and Solidification in the Multi-cavity Casting Moulds of Automotive Components, International Journal of Iron & Steel Society of Iran, Article 2, Volume 4, Issue 1, Summer and Autumn 2007, pages 8-15.

36-07 Duque Mesa A. F., Herrera J., Cruz L.J., Fernández G.P. y Martínez H.V., Caracterización Defectológica de Piezas Fundida por Lost Foam Casting Mediante Simulación Numérica, 8° Congreso Iberoamericano de Ingenieria Mecanica, Cusco, Peru, 23 al 25 de Octubre de 2007 (in Spanish)

27-07 A.Y. Korotchenko, A.M. Zarubin, I.A.Korotchenko, Modeling of High Pressure Die Casting Filling, Russian Foundryman, December 2007, pp 15-19. (in Russian)

26-07 I.N. Volnov, Modeling of Casting Processes with Variable Geometry, Russian Foundryman, November 2007, pp 27-30. (in Russian)

16-07 P. Väyrynen, S. Vapalahti, S. Louhenkilpi, L. Chatburn, M. Clark, T. Wagner, Tundish Flow Model Tuning and Validation – Steady State and Transient Casting Situations, STEELSIM 2007, Graz/Seggau, Austria, September 12-14 2007

11-07 Marco Actis Grande, Computer Simulation of the Investment Casting Process – Widening of the Filling Step, Santa Fe Symposium on Jewelry Manufacturing Technology, May 2007

09-07 Alexandre Reikher and Michael Barkhudarov, Casting: An Analytical Approach, Springer, 1st edition, August 2007, Hardcover ISBN: 978-1-84628-849-4. U.S. Order Form; Europe Order Form.

07-07 I.N. Volnov, Casting Modeling Systems – Current State, Problems and Perspectives, (in Russian), Liteyshik Rossii (Russian Foundryman), June 2007

05-07 A.N. Turchin, D.G. Eskin, and L. Katgerman, Solidification under Forced-Flow Conditions in a Shallow Cavity, DOI: 10.1007/s1161-007-9183-9, © The Minerals, Metals & Materials Society and ASM International 2007

04-07 A.N. Turchin, M. Zuijderwijk, J. Pool, D.G. Eskin, and L. Katgerman, Feathery grain growth during solidification under forced flow conditions, © Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved. DOI: 10.1016/j.actamat.2007.02.030, April 2007

03-07 S. Kuyucak, Sponsored Research – Clean Steel Casting Production—Evaluation of Laboratory Castings, Transactions of the American Foundry Society, Volume 115, 111th Metalcasting Congress, May 2007

02-07 Fu-Yuan Hsu, Mark R. Jolly and John Campbell, The Design of L-Shaped Runners for Gravity Casting, Shape Casting: 2nd International Symposium, Edited by Paul N. Crepeau, Murat Tiryakioðlu and John Campbell, TMS (The Minerals, Metals & Materials Society), Orlando, FL, Feb 2007

30-06 X.J. Liu, S.H. Bhavnani, R.A. Overfelt, Simulation of EPS foam decomposition in the lost foam casting process, Journal of Materials Processing Technology 182 (2007) 333–342, © 2006 Elsevier B.V. All rights reserved.

25-06 Michael Barkhudarov and Gengsheng Wei, Modeling Casting on the Move, Modern Casting, August 2006; Modeling of Casting Processes with Variable Geometry, Russian Foundryman, December 2007, pp 10-15. (in Russian)

24-06 P. Scarber, Jr. and C.E. Bates, Simulation of Core Gas Production During Mold Fill, © 2006 American Foundry Society

7-06 M.Y.Smirnov, Y.V.Golenkov, Manufacturing of Cast Iron Bath Tubs Castings using Vacuum-Process in Russia, Russia’s Foundryman, July 2006. In Russian.

6-06 M. Barkhudarov, and G. Wei, Modeling of the Coupled Motion of Rigid Bodies in Liquid Metal, Modeling of Casting, Welding and Advanced Solidification Processes – XI, May 28 – June 2, 2006, Opio, France, eds. Ch.-A. Gandin and M. Bellet, pp 71-78, 2006.

2-06 J.-C. Gebelin, M.R. Jolly and F.-Y. Hsu, ‘Designing-in’ Controlled Filling Using Numerical Simulation for Gravity Sand Casting of Aluminium Alloys, Int. J. Cast Met. Res., 2006, Vol.19 No.1

1-06 Michael Barkhudarov, Using Simulation to Control Microporosity Reduces Die Iterations, Die Casting Engineer, January 2006, pp. 52-54

30-05 H. Xue, K. Kabiri-Bamoradian, R.A. Miller, Modeling Dynamic Cavity Pressure and Impact Spike in Die Casting, Cast Expo ’05, April 16-19, 2005

22-05 Blas Melissari & Stavros A. Argyropoulous, Measurement of Magnitude and Direction of Velocity in High-Temperature Liquid Metals; Part I, Mathematical Modeling, Metallurgical and Materials Transactions B, Volume 36B, October 2005, pp. 691-700

21-05 M.R. Jolly, State of the Art Review of Use of Modeling Software for Casting, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 337-346

20-05 J-C Gebelin, M.R. Jolly & F-Y Hsu, ‘Designing-in’ Controlled Filling Using Numerical Simulation for Gravity Sand Casting of Aluminium Alloys, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 355-364

19-05 F-Y Hsu, M.R. Jolly & J Campbell, Vortex Gate Design for Gravity Castings, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 73-82

18-05 M.R. Jolly, Modelling the Investment Casting Process: Problems and Successes, Japanese Foundry Society, JFS, Tokyo, Sept. 2005

13-05 Xiaogang Yang, Xiaobing Huang, Xiaojun Dai, John Campbell and Joe Tatler, Numerical Modelling of the Entrainment of Oxide Film Defects in Filling of Aluminium Alloy Castings, International Journal of Cast Metals Research, 17 (6), 2004, 321-331

10-05 Carlos Evaristo Esparza, Martha P. Guerro-Mata, Roger Z. Ríos-Mercado, Optimal Design of Gating Systems by Gradient Search Methods, Computational Materials Science, October 2005

6-05 Birgit Hummler-Schaufler, Fritz Hirning, Jurgen Schaufler, A World First for Hatz Diesel and Schaufler Tooling, Die Casting Engineer, May 2005, pp. 18-21

4-05 Rolf Krack, The W35 Topic—A World First, Die Casting World, March 2005, pp. 16-17

3-05 Joerg Frei, Casting Simulations Speed Up Development, Die Casting World, March 2005, p. 14

2-05 David Goettsch and Michael Barkhudarov, Analysis and Optimization of the Transient Stage of Stopper-Rod Pour, Shape Casting: The John Campbell Symposium, The Minerals, Metals & Materials Society, 2005

36-04  Ik Min Park, Il Dong Choi, Yong Ho Park, Development of Light-Weight Al Scroll Compressor for Car Air Conditioner, Materials Science Forum, Designing, Processing and Properties of Advanced Engineering Materials, 449-452, 149, March 2004.

32-04 D.H. Kirkwood and P.J Ward, Numerical Modelling of Semi-Solid Flow under Processing Conditions, steel research int. 75 (2004), No. 8/9

30-04 Haijing Mao, A Numerical Study of Externally Solidified Products in the Cold Chamber Die Casting Process, thesis: The Ohio State University, 2004 (Available upon request)

28-04 Z. Cao, Z. Yang, and X.L. Chen, Three-Dimensional Simulation of Transient GMA Weld Pool with Free Surface, Supplement to the Welding Journal, June 2004.

23-04 State of the Art Use of Computational Modelling in the Foundry Industry, 3rd International Conference Computational Modelling of Materials III, Sicily, Italy, June 2004, Advances in Science and Technology,  Eds P. Vincenzini & A Lami, Techna Group Srl, Italy, ISBN: 88-86538-46-4, Part B, pp 479-490

22-04 Jerry Fireman, Computer Simulation Helps Reduce Scrap, Die Casting Engineer, May 2004, pp. 46-49

21-04 Joerg Frei, Simulation—A Safe and Quick Way to Good Components, Aluminium World, Volume 3, Issue 2, pp. 42-43

20-04 J.-C. Gebelin, M.R. Jolly, A. M. Cendrowicz, J. Cirre and S. Blackburn, Simulation of Die Filling for the Wax Injection Process – Part II Numerical Simulation, Metallurgical and Materials Transactions, Volume 35B, August 2004

14-04 Sayavur I. Bakhtiyarov, Charles H. Sherwin, and Ruel A. Overfelt, Hot Distortion Studies In Phenolic Urethane Cold Box System, American Foundry Society, 108th Casting Congress, June 12-15, 2004, Rosemont, IL, USA

13-04 Sayavur I. Bakhtiyarov and Ruel A. Overfelt, First V-Process Casting of Magnesium, American Foundry Society, 108th Casting Congress, June 12-15, 2004, Rosemont, IL, USA

5-04 C. Schlumpberger & B. Hummler-Schaufler, Produktentwicklung auf hohem Niveau (Product Development on a High Level), Druckguss Praxis, January 2004, pp 39-42 (in German).

3-04 Charles Bates, Dealing with Defects, Foundry Management and Technology, February 2004, pp 23-25

1-04 Laihua Wang, Thang Nguyen, Gary Savage and Cameron Davidson, Thermal and Flow Modeling of Ladling and Injection in High Pressure Die Casting Process, International Journal of Cast Metals Research, vol. 16 No 4 2003, pp 409-417

2-03 J-C Gebelin, AM Cendrowicz, MR Jolly, Modeling of the Wax Injection Process for the Investment Casting Process – Prediction of Defects, presented at the Third International Conference on Computational Fluid Dynamics in the Minerals and Process Industries, December 10-12, 2003, Melbourne, Australia, pp. 415-420

29-03 C. W. Hirt, Modeling Shrinkage Induced Micro-porosity, Flow Science Technical Note (FSI-03-TN66)

28-03 Thixoforming at the University of Sheffield, Diecasting World, September 2003, pp 11-12

26-03 William Walkington, Gas Porosity-A Guide to Correcting the Problems, NADCA Publication: 516

22-03 G F Yao, C W Hirt, and M Barkhudarov, Development of a Numerical Approach for Simulation of Sand Blowing and Core Formation, in Modeling of Casting, Welding, and Advanced Solidification Process-X”, Ed. By Stefanescu et al pp. 633-639, 2003

21-03 E F Brush Jr, S P Midson, W G Walkington, D T Peters, J G Cowie, Porosity Control in Copper Rotor Die Castings, NADCA Indianapolis Convention Center, Indianapolis, IN September 15-18, 2003, T03-046

12-03 J-C Gebelin & M.R. Jolly, Modeling Filters in Light Alloy Casting Processes,  Trans AFS, 2002, 110, pp. 109-120

11-03 M.R. Jolly, Casting Simulation – How Well Do Reality and Virtual Casting Match – A State of the Art Review, Intl. J. Cast Metals Research, 2002, 14, pp. 303-313

10-03 Gebelin., J-C and Jolly, M.R., Modeling of the Investment Casting Process, Journal of  Materials Processing Tech., Vol. 135/2-3, pp. 291 – 300

9-03 Cox, M, Harding, R.A. and Campbell, J., Optimised Running System Design for Bottom Filled Aluminium Alloy 2L99 Investment Castings, J. Mat. Sci. Tech., May 2003, Vol. 19, pp. 613-625

8-03 Von Alexander Schrey and Regina Reek, Numerische Simulation der Kernherstellung, (Numerical Simulation of Core Blowing), Giesserei, June 2003, pp. 64-68 (in German)

7-03 J. Zuidema Jr., L Katgerman, Cyclone separation of particles in aluminum DC Casting, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 607-614

6-03 Jean-Christophe Gebelin and Mark Jolly, Numerical Modeling of Metal Flow Through Filters, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 431-438

5-03 N.W. Lai, W.D. Griffiths and J. Campbell, Modelling of the Potential for Oxide Film Entrainment in Light Metal Alloy Castings, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 415-422

21-02 Boris Lukezic, Case History: Process Modeling Solves Die Design Problems, Modern Casting, February 2003, P 59

20-02 C.W. Hirt and M.R. Barkhudarov, Predicting Defects in Lost Foam Castings, Modern Casting, December 2002, pp 31-33

19-02 Mark Jolly, Mike Cox, Ric Harding, Bill Griffiths and John Campbell, Quiescent Filling Applied to Investment Castings, Modern Casting, December 2002 pp. 36-38

18-02 Simulation Helps Overcome Challenges of Thin Wall Magnesium Diecasting, Foundry Management and Technology, October 2002, pp 13-15

17-02 G Messmer, Simulation of a Thixoforging Process of Aluminum Alloys with FLOW-3D, Institute for Metal Forming Technology, University of Stuttgart

16-02 Barkhudarov, Michael, Computer Simulation of Lost Foam Process, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 319-324

15-02 Barkhudarov, Michael, Computer Simulation of Inclusion Tracking, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 341-346

14-02 Barkhudarov, Michael, Advanced Simulation of the Flow and Heat Transfer of an Alternator Housing, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 219-228

8-02 Sayavur I. Bakhtiyarov, and Ruel A. Overfelt, Experimental and Numerical Study of Bonded Sand-Air Two-Phase Flow in PUA Process, Auburn University, 2002 American Foundry Society, AFS Transactions 02-091, Kansas City, MO

7-02 A Habibollah Zadeh, and J Campbell, Metal Flow Through a Filter System, University of Birmingham, 2002 American Foundry Society, AFS Transactions 02-020, Kansas City, MO

6-02 Phil Ward, and Helen Atkinson, Final Report for EPSRC Project: Modeling of Thixotropic Flow of Metal Alloys into a Die, GR/M17334/01, March 2002, University of Sheffield

5-02 S. I. Bakhtiyarov and R. A. Overfelt, Numerical and Experimental Study of Aluminum Casting in Vacuum-sealed Step Molding, Auburn University, 2002 American Foundry Society, AFS Transactions 02-050, Kansas City, MO

4-02 J. C. Gebelin and M. R. Jolly, Modelling Filters in Light Alloy Casting Processes, University of Birmingham, 2002 American Foundry Society AFS Transactions 02-079, Kansas City, MO

3-02 Mark Jolly, Mike Cox, Jean-Christophe Gebelin, Sam Jones, and Alex Cendrowicz, Fundamentals of Investment Casting (FOCAST), Modelling the Investment Casting Process, Some preliminary results from the UK Research Programme, IRC in Materials, University of Birmingham, UK, AFS2001

49-01   Hua Bai and Brian G. Thomas, Bubble formation during horizontal gas injection into downward-flowing liquid, Metallurgical and Materials Transactions B, Vol. 32, No. 6, pp. 1143-1159, 2001. doi.org/10.1007/s11663-001-0102-y

45-01 Jan Zuidema; Laurens Katgerman; Ivo J. Opstelten;Jan M. Rabenberg, Secondary Cooling in DC Casting: Modelling and Experimental Results, TMS 2001, New Orleans, Louisianna, February 11-15, 2001

43-01 James Andrew Yurko, Fluid Flow Behavior of Semi-Solid Aluminum at High Shear Rates,Ph.D. thesis; Massachusetts Institute of Technology, June 2001. Abstract only; full thesis available at http://dspace.mit.edu/handle/1721.1/8451 (for a fee).

33-01 Juang, S.H., CAE Application on Design of Die Casting Dies, 2001 Conference on CAE Technology and Application, Hsin-Chu, Taiwan, November 2001, (article in Chinese with English-language abstract)

32-01 Juang, S.H. and C. M. Wang, Effect of Feeding Geometry on Flow Characteristics of Magnesium Die Casting by Numerical Analysis, The Preceedings of 6th FADMA Conference, Taipei, Taiwan, July 2001, Chinese language with English abstract

26-01 C. W. Hirt., Predicting Defects in Lost Foam Castings, December 13, 2001

21-01 P. Scarber Jr., Using Liquid Free Surface Areas as a Predictor of Reoxidation Tendency in Metal Alloy Castings, presented at the Steel Founders’ Society of American, Technical and Operating Conference, October 2001

20-01 P. Scarber Jr., J. Griffin, and C. E. Bates, The Effect of Gating and Pouring Practice on Reoxidation of Steel Castings, presented at the Steel Founders’ Society of American, Technical and Operating Conference, October 2001

19-01 L. Wang, T. Nguyen, M. Murray, Simulation of Flow Pattern and Temperature Profile in the Shot Sleeve of a High Pressure Die Casting Process, CSIRO Manufacturing Science and Technology, Melbourne, Victoria, Australia, Presented by North American Die Casting Association, Oct 29-Nov 1, 2001, Cincinnati, To1-014

18-01 Rajiv Shivpuri, Venkatesh Sankararaman, Kaustubh Kulkarni, An Approach at Optimizing the Ingate Design for Reducing Filling and Shrinkage Defects, The Ohio State University, Columbus, OH, Presented by North American Die Casting Association, Oct 29-Nov 1, 2001, Cincinnati, TO1-052

5-01 Michael Barkhudarov, Simulation Helps Overcome Challenges of Thin Wall Magnesium Diecasting, Diecasting World, March 2001, pp. 5-6

2-01 J. Grindling, Customized CFD Codes to Simulate Casting of Thermosets in Full 3D, Electrical Manufacturing and Coil Winding 2000 Conference, October 31-November 2, 20

20-00 Richard Schuhmann, John Carrig, Thang Nguyen, Arne Dahle, Comparison of Water Analogue Modelling and Numerical Simulation Using Real-Time X-Ray Flow Data in Gravity Die Casting, Australian Die Casting Association Die Casting 2000 Conference, September 3-6, 2000, Melbourne, Victoria, Australia

15-00 M. Sirvio, Vainola, J. Vartianinen, M. Vuorinen, J. Orkas, and S. Devenyi, Fluid Flow Analysis for Designing Gating of Aluminum Castings, Proc. NADCA Conf., Rosemont, IL, Nov 6-8, 1999

14-00 X. Yang, M. Jolly, and J. Campbell, Reduction of Surface Turbulence during Filling of Sand Castings Using a Vortex-flow Runner, Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August 2000

13-00 H. S. H. Lo and J. Campbell, The Modeling of Ceramic Foam Filters, Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August 2000

12-00 M. R. Jolly, H. S. H. Lo, M. Turan and J. Campbell, Use of Simulation Tools in the Practical Development of a Method for Manufacture of Cast Iron Camshafts,” Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August, 2000

14-99 J Koke, and M Modigell, Time-Dependent Rheological Properties of Semi-solid Metal Alloys, Institute of Chemical Engineering, Aachen University of Technology, Mechanics of Time-Dependent Materials 3: 15-30, 1999

12-99 Grun, Gerd-Ulrich, Schneider, Wolfgang, Ray, Steven, Marthinusen, Jan-Olaf, Recent Improvements in Ceramic Foam Filter Design by Coupled Heat and Fluid Flow Modeling, Proc TMS Annual Meeting, 1999, pp. 1041-1047

10-99 Bongcheol Park and Jerald R. Brevick, Computer Flow Modeling of Cavity Pre-fill Effects in High Pressure Die Casting, NADCA Proceedings, Cleveland T99-011, November, 1999

8-99 Brad Guthrie, Simulation Reduces Aluminum Die Casting Cost by Reducing Volume, Die Casting Engineer Magazine, September/October 1999, pp. 78-81

7-99 Fred L. Church, Virtual Reality Predicts Cast Metal Flow, Modern Metals, September, 1999, pp. 67F-J

19-98 Grun, Gerd-Ulrich, & Schneider, Wolfgang, Numerical Modeling of Fluid Flow Phenomena in the Launder-integrated Tool Within Casting Unit Development, Proc TMS Annual Meeting, 1998, pp. 1175-1182

18-98 X. Yang & J. Campbell, Liquid Metal Flow in a Pouring Basin, Int. J. Cast Metals Res, 1998, 10, pp. 239-253

15-98 R. Van Tol, Mould Filling of Horizontal Thin-Wall Castings, Delft University Press, The Netherlands, 1998

14-98 J. Daughtery and K. A. Williams, Thermal Modeling of Mold Material Candidates for Copper Pressure Die Casting of the Induction Motor Rotor Structure, Proc. Int’l Workshop on Permanent Mold Casting of Copper-Based Alloys, Ottawa, Ontario, Canada, Oct. 15-16, 1998

10-98 C. W. Hirt, and M.R. Barkhudarov, Lost Foam Casting Simulation with Defect Prediction, Flow Science Inc, presented at Modeling of Casting, Welding and Advanced Solidification Processes VIII Conference, June 7-12, 1998, Catamaran Hotel, San Diego, California

9-98 M. R. Barkhudarov and C. W. Hirt, Tracking Defects, Flow Science Inc, presented at the 1st International Aluminum Casting Technology Symposium, 12-14 October 1998, Rosemont, IL

5-98 J. Righi, Computer Simulation Helps Eliminate Porosity, Die Casting Management Magazine, pp. 36-38, January 1998

3-98 P. Kapranos, M. R. Barkhudarov, D. H. Kirkwood, Modeling of Structural Breakdown during Rapid Compression of Semi-Solid Alloy Slugs, Dept. Engineering Materials, The University of Sheffield, Sheffield S1 3JD, U.K. and Flow Science Inc, USA, Presented at the 5th International Conference Semi-Solid Processing of Alloys and Composites, Colorado School of Mines, Golden, CO, 23-25 June 1998

1-98 U. Jerichow, T. Altan, and P. R. Sahm, Semi Solid Metal Forming of Aluminum Alloys-The Effect of Process Variables Upon Material Flow, Cavity Fill and Mechanical Properties, The Ohio State University, Columbus, OH, published in Die Casting Engineer, p. 26, Jan/Feb 1998

8-97 Michael Barkhudarov, High Pressure Die Casting Simulation Using FLOW-3D, Die Casting Engineer, 1997

15-97 M. R. Barkhudarov, Advanced Simulation of the Flow and Heat Transfer Process in Simultaneous Engineering, Flow Science report, presented at the Casting 1997 – International ADI and Simulation Conference, Helsinki, Finland, May 28-30, 1997

14-97 M. Ranganathan and R. Shivpuri, Reducing Scrap and Increasing Die Life in Low Pressure Die Casting through Flow Simulation and Accelerated Testing, Dept. Welding and Systems Engineering, Ohio State University, Columbus, OH, presented at 19th International Die Casting Congress & Exposition, November 3-6, 1997

13-97 J. Koke, Modellierung und Simulation der Fließeigenschaften teilerstarrter Metallegierungen, Livt Information, Institut für Verfahrenstechnik, RWTH Aachen, October 1997

10-97 J. P. Greene and J. O. Wilkes, Numerical Analysis of Injection Molding of Glass Fiber Reinforced Thermoplastics – Part 2 Fiber Orientation, Body-in-White Center, General Motors Corp. and Dept. Chemical Engineering, University of Michigan, Polymer Engineering and Science, Vol. 37, No. 6, June 1997

9-97 J. P. Greene and J. O. Wilkes, Numerical Analysis of Injection Molding of Glass Fiber Reinforced Thermoplastics. Part 1 – Injection Pressures and Flow, Manufacturing Center, General Motors Corp. and Dept. Chemical Engineering, University of Michigan, Polymer Engineering and Science, Vol. 37, No. 3, March 1997

8-97 H. Grazzini and D. Nesa, Thermophysical Properties, Casting Simulation and Experiments for a Stainless Steel, AT Systemes (Renault) report, presented at the Solidification Processing ’97 Conference, July 7-10, 1997, Sheffield, U.K.

7-97 R. Van Tol, L. Katgerman and H. E. A. Van den Akker, Horizontal Mould Filling of a Thin Wall Aluminum Casting, Laboratory of Materials report, Delft University, presented at the Solidification Processing ’97 Conference, July 7-10, 1997, Sheffield, U.K.

6-97 M. R. Barkhudarov, Is Fluid Flow Important for Predicting Solidification, Flow Science report, presented at the Solidification Processing ’97 Conference, July 7-10, 1997, Sheffield, U.K.

22-96 Grun, Gerd-Ulrich & Schneider, Wolfgang, 3-D Modeling of the Start-up Phase of DC Casting of Sheet Ingots, Proc TMS Annual Meeting, 1996, pp. 971-981

9-96 M. R. Barkhudarov and C. W. Hirt, Thixotropic Flow Effects under Conditions of Strong Shear, Flow Science report FSI96-00-2, to be presented at the “Materials Week ’96” TMS Conference, Cincinnati, OH, 7-10 October 1996

4-96 C. W. Hirt, A Computational Model for the Lost Foam Process, Flow Science final report, February 1996 (FSI-96-57-R2)

3-96 M. R. Barkhudarov, C. L. Bronisz, C. W. Hirt, Three-Dimensional Thixotropic Flow Model, Flow Science report, FSI-96-00-1, published in the proceedings of (pp. 110- 114) and presented at the 4th International Conference on Semi-Solid Processing of Alloys and Composites, The University of Sheffield, 19-21 June 1996

1-96 M. R. Barkhudarov, J. Beech, K. Chang, and S. B. Chin, Numerical Simulation of Metal/Mould Interfacial Heat Transfer in Casting, Dept. Mech. & Process Engineering, Dept. Engineering Materials, University of Sheffield and Flow Science Inc, 9th Int. Symposium on Transport Phenomena in Thermal-Fluid Engineering, June 25-28, 1996, Singapore

11-95 Barkhudarov, M. R., Hirt, C.W., Casting Simulation Mold Filling and Solidification-Benchmark Calculations Using FLOW-3D, Modeling of Casting, Welding, and Advanced Solidification Processes VII, pp 935-946

10-95 Grun, Gerd-Ulrich, & Schneider, Wolfgang, Optimal Design of a Distribution Pan for Level Pour Casting, Proc TMS Annual Meeting, 1995, pp. 1061-1070

9-95 E. Masuda, I. Itoh, K. Haraguchi, Application of Mold Filling Simulation to Die Casting Processes, Honda Engineering Co., Ltd., Tochigi, Japan, presented at the Modelling of Casting, Welding and Advanced Solidification Processes VII, The Minerals, Metals & Materials Society, 1995

6-95 K. Venkatesan, Experimental and Numerical Investigation of the Effect of Process Parameters on the Erosive Wear of Die Casting Dies, presented for Ph.D. degree at Ohio State University, 1995

5-95 J. Righi, A. F. LaCamera, S. A. Jones, W. G. Truckner, T. N. Rouns, Integration of Experience and Simulation Based Understanding in the Die Design Process, Alcoa Technical Center, Alcoa Center, PA 15069, presented by the North American Die Casting Association, 1995

2-95 K. Venkatesan and R. Shivpuri, Numerical Simulation and Comparison with Water Modeling Studies of the Inertia Dominated Cavity Filling in Die Casting, NUMIFORM, 1995

1-95 K. Venkatesan and R. Shivpuri, Numerical Investigation of the Effect of Gate Velocity and Gate Size on the Quality of Die Casting Parts, NAMRC, 1995.

15-94 D. Liang, Y. Bayraktar, S. A. Moir, M. Barkhudarov, and H. Jones, Primary Silicon Segregation During Isothermal Holding of Hypereutectic AI-18.3%Si Alloy in the Freezing Range, Dept. of Engr. Materials, U. of Sheffield, Metals and Materials, February 1994

13-94 Deniece Korzekwa and Paul Dunn, A Combined Experimental and Modeling Approach to Uranium Casting, Materials Division, Los Alamos National Laboratory, presented at the Symposium on Liquid Metal Processing and Casting, El Dorado Hotel, Santa Fe, New Mexico, 1994

12-94 R. van Tol, H. E. A. van den Akker and L. Katgerman, CFD Study of the Mould Filling of a Horizontal Thin Wall Aluminum Casting, Delft University of Technology, Delft, The Netherlands, HTD-Vol. 284/AMD-Vol. 182, Transport Phenomena in Solidification, ASME 1994

11-94 M. R. Barkhudarov and K. A. Williams, Simulation of ‘Surface Turbulence’ Fluid Phenomena During the Mold Filling Phase of Gravity Castings, Flow Science Technical Note #41, November 1994 (FSI-94-TN41)

10-94 M. R. Barkhudarov and S. B. Chin, Stability of a Numerical Algorithm for Gas Bubble Modelling, University of Sheffield, Sheffield, U.K., International Journal for Numerical Methods in Fluids, Vol. 19, 415-437 (1994)

16-93 K. Venkatesan and R. Shivpuri, Numerical Simulation of Die Cavity Filling in Die Castings and an Evaluation of Process Parameters on Die Wear, Dept. of Industrial Systems Engineering, Presented by: N.A. Die Casting Association, Cleveland, Ohio, October 18-21, 1993

15-93 K. Venkatesen and R. Shivpuri, Numerical Modeling of Filling and Solidification for Improved Quality of Die Casting: A Literature Survey (Chapters II and III), Engineering Research Center for Net Shape Manufacturing, Report C-93-07, August 1993, Ohio State University

1-93 P-E Persson, Computer Simulation of the Solidification of a Hub Carrier for the Volvo 800 Series, AB Volvo Technological Development, Metals Laboratory, Technical Report No. LM 500014E, Jan. 1993

13-92 D. R. Korzekwa, M. A. K. Lewis, Experimentation and Simulation of Gravity Fed Lead Castings, in proceedings of a TMS Symposium on Concurrent Engineering Approach to Materials Processing, S. N. Dwivedi, A. J. Paul and F. R. Dax, eds., TMS-AIME Warrendale, p. 155 (1992)

12-92 M. A. K. Lewis, Near-Net-Shaiconpe Casting Simulation and Experimentation, MST 1992 Review, Los Alamos National Laboratory

2-92 M. R. Barkhudarov, H. You, J. Beech, S. B. Chin, D. H. Kirkwood, Validation and Development of FLOW-3D for Casting, School of Materials, University of Sheffield, Sheffield, UK, presented at the TMS/AIME Annual Meeting, San Diego, CA, March 3, 1992

1-92 D. R. Korzekwa and L. A. Jacobson, Los Alamos National Laboratory and C.W. Hirt, Flow Science Inc, Modeling Planar Flow Casting with FLOW-3D, presented at the TMS/AIME Annual Meeting, San Diego, CA, March 3, 1992

12-91 R. Shivpuri, M. Kuthirakulathu, and M. Mittal, Nonisothermal 3-D Finite Difference Simulation of Cavity Filling during the Die Casting Process, Dept. Industrial and Systems Engineering, Ohio State University, presented at the 1991 Winter Annual ASME Meeting, Atlanta, GA, Dec. 1-6, 1991

3-91 C. W. Hirt, A FLOW-3D Study of the Importance of Fluid Momentum in Mold Filling, presented at the 18th Annual Automotive Materials Symposium, Michigan State University, Lansing, MI, May 1-2, 1991 (FSI-91-00-2)

11-90 N. Saluja, O.J. Ilegbusi, and J. Szekely, On the Calculation of the Electromagnetic Force Field in the Circular Stirring of Metallic Melts, accepted in J. Appl. Physics, 1990

10-90 N. Saluja, O. J. Ilegbusi, and J. Szekely, On the Calculation of the Electromagnetic Force Field in the Circular Stirring of Metallic Molds in Continuous Castings, presented at the 6th Iron and Steel Congress of the Iron and Steel Institute of Japan, Nagoya, Japan, October 1990

9-90 N. Saluja, O. J. Ilegbusi, and J. Szekely, Fluid Flow in Phenomena in the Electromagnetic Stirring of Continuous Casting Systems, Part I. The Behavior of a Cylindrically Shaped, Laboratory Scale Installation, accepted for publication in Steel Research, 1990

8-89 C. W. Hirt, Gravity-Fed Casting, Flow Science Technical Note #20, July 1989 (FSI-89-TN20)

6-89 E. W. M. Hansen and F. Syvertsen, Numerical Simulation of Flow Behaviour in Moldfilling for Casting Analysis, SINTEF-Foundation for Scientific and Industrial Research at the Norwegian Institute of Technology, Trondheim, Norway, Report No. STS20 A89001, June 1989

1-88 C. W. Hirt and R. P. Harper, Modeling Tests for Casting Processes, Flow Science report, Jan. 1988 (FSI-88-38-01)

2-87 C. W. Hirt, Addition of a Solidification/Melting Model to FLOW-3D, Flow Science report, April 1987 (FSI-87-33-1)

A vertical jet flowing into a moving cross stream

공기 유입 / Air Entrainment

Air Entrainment / 공기 유입

FLOW-3D 의 공기 혼입 모델(air entrainment model)은 자유 표면에서 용해되지 않은 공기 혼입을 시뮬레이션하는 강력한 도구입니다. 제트 및 방수로 충돌시 관찰되는 국부적이고 난류가없는 자유 표면 혼입 기능이 있습니다. 이러한 기능은 엔지니어가 설계시 공기 유입을 예측하고, 공기유입이 안전하게 작동하도록 적절한 수정을 할 수 있게 합니다.

Spillway hydraulics / 여수로 수리장치

여수로 구조는 다양한 작동 조건을 처리 할 수 ​​있도록 설계되어야 합니다. 유동 조건이 설계 범위의 상단에 도달하면 여수로 표면의 불규칙성으로 인해 유동이 분리 될 수 있습니다. 이는 여수로 표면의 압력이 캐비테이션을 일으킬 정도로 낮아지게 합니다. 캐비테이션은 구조물의 강도에 매우 해로우며 치명적인 손상을 초래할 수 있습니다.

공기 유입은 캐비테이션의 가능성을 줄이는 수단입니다. 물이 공기에 존재하면 캐비테이션 영역의 붕괴하는 기포에 감쇠 효과를 추가하여 캐비테이션 손상을 줄입니다. 여수로의 속도가 충분히 높으면 공기를 동반시키고 캐비테이션을 줄이기 위해 폭기 장치를 추가해야합니다.

폭기 흐름의 시뮬레이션과 폭기 장치에서 포획된 공기의 예측.

왼쪽 이미지는 거시적 인 밀도에 의해 착색됩니다. 오른쪽 그래프는 폭기 장치에 유입 된 수분의 일정한 부피와 폭기 장치 이후의 수분 및 공기의 양을 비교 한 것입니다.

아래 동영상은 FLOW-3D에서 공기 유입 과정을 시뮬레이션하는 방법을 보여줍니다. 여기에는 공기혼입 및 드리프트 플럭스 모델의 이론에 대한 세부 정보와 FLOW-3D에서 기본 공기혼입 시뮬레이션을 설정하는 방법에 대한 데모가 포함되어 있습니다.

Fish passage design / 물고기 개체수 유지를 위한 어도 설계

공기가 물로 혼입되면 미생물의 성장을 유지하고 건강한 어류 개체군의 생존을 보장 할 수 있습니다. 그러나 과포화 상태의 용존 기체는 수생 생물에 부정적인 영향을 미치는 수질 문제가 됩니다. 공기 동반 모델의 또 다른 용도는 강의 하류로 방출되는 배수로에서 동반되는 공기의 농도를 결정하기 위해 해양 생물학에서 사용됩니다.
이 모델에 대한 더 자세한 정보는 Air Entrainment 의 Flow Science Report를 다운로드하십시오.

Coastal applications using FLOW-3D/연안(해변) FLOW-3D해석사례

배수(Backwaters)이론

  • Air entrainment(공기 혼입 모델)
  • Turbulence(난류 모델)
  • Waves(파동 모델)
  • Sediment scour and deposition(세굴 모델)

하구 매커니즘(Estuarine mechanisms)

  • Air entrainment(공기 혼입 모델)
  • Turbulence(난류 모델)
  • Density Evaluation(밀도 유동 모델)
  • Wind

Wave generation

  • Solitary Wave
  • Linear Wave
  • JONSWAP
  • Pierson-Moskowitz
  • Stokes Wave

Wave 생성하는 모델은 크게 위의 5가지 모델이 있습니다. 아래는 위의 5가지 모델에 대한 해석 사례를 보여줍니다. 이를 참고하시면 해석에 도움이 됩니다.

부두에서 파도 부하 추정, 물리적 모델링 및 수치테스트, 새로운 Wave에 대한 고유 2차원 비선형 접근방식 등의 FLOW-3D결과는 실제 실험 데이터와 잘 일치함을 보여줍니다.

  • Eillott, T., and Fullarton, M., “Cyclone wave loads on wharf structure using the new wave approach”, FLOW-3D Americas User conference, 2014

세굴 모델(Sediment scour and deposition)

  • Critical Shields number definition(임계 Shields 수) : 0.05
  • Bed Load Transport Rate equation : Meyer-Peter & Muller equation
  • Richardson-Zaki coefficient multipller : 1
  • 다음과 같이 Wave와 세굴(Sediment)를 같이 고려해서 해석하는 것을 추천합니다.
    – 퇴적물 탱크의 파동(Solitary wave)
    – 무연탄 및 모래
    – 움직이는 물체 모델을 사용하여 생성된 파도

해석 결과

Culvert Application / 암거 시설물

Culvert Applications / 암거 시설물 유동해석 개요

Brain Fox / CFD Engineer, Flow Science, inc

근래 이상기후에 의한 강우량 증대와 도시화에 따른 첨두 유출량의 증대 및 도달시간의 단축은 하류지점의 빈번한 범람을 유발하여, 이러한 문제들의 해결을 위해 저류지와 같은 우수 유출 저감시설 구축을 추진하고 있습니다.

Culvert 시설물의 최적 설계 또는 기존 시설물의 개선을 통한 문제점 해결에 필요한 3차원 유동 해석은 FLOW-3D를 활용하여 도움을 받을 수 있습니다.

암거 흐름은 지형 및 수리조건에 따라 복잡하고 다양한 흐름 특성을나타내고 있으며, 이로 인해 암거의 3차원 유동해석(CFD)이 점점 더 필수적인 업무 과정이 되어 가고 있습니다.

기본 Culvert 유동

FLOW-3D를 이용한 Culvert 유동해석

Overtopping

None-Liner

Energy Dissipiration

Fish Passage / 어도

Sedimentation / Outlet Scour

Multi-ballel culvert

Moning Glory Spillway

Air entrainment

FLOW-3D를 이용한 실제 해석

초기 해석 조건

해석시간

FLOW-3D CAST 사양

FLOW-3D CAST Feature

Active Simulation Control

실행중인 해석의 제어 파라미터는 History probes에서 사용자가 정의한 조건에 따라, 런타임 동안에 자동으로 변경 될 수 있습니다. History probes에 의해 기록된 시뮬레이션 변수는 경계 조건, mass source 및 General Moving Object 기능을 이용하여, 시간에 따른 개체의 동작을 제어하기 위해 사용될 수있습니다. 예를 들어, 고압다이캐스팅 해석에서 게이트에 설정한 History probes에 유체가 도달하면, 그 정보를 캡처하는 데이터 출력 주파수를 증가시켜 플런저의 속도를 고속으로 자동 전환 될 수있습니다. 고압다이캐스팅 해석은 유체가 게이트에 도달 할 때 자동으로 고속 전환됩니다. 이 프로세스는 새로운 실행 시뮬레이션 제어 기능을 통해 자동으로 진행됩니다. 저속 구간에서 플런저의 움직임은 trigger 슬리브의 용융물에 혼입되는 공기의 양을 최소화하기 위해 Barkhudarov 방법 1을 사용하여 계산됩니다. 이 결과는 훨씬 더 높은 품질의 주조품이 나올수 있도록 설계하는데 도움이 될 수 있습니다. Read the development note > Read the blog post >

Batch Postprocessing & Report Generation

Batch 후처리 및 보고서 생성은 해석 결과 분석시 사용자의 해석 처리 시간을 절약하기 위해 개발되었습니다. Batch 후처리는, 해석이 완료된 후, 사용자가 애니메이션, 시나리오, 그래프, 텍스트 데이터 시리즈를 정의하여 자동으로 생성되도록 할 수 있습니다. 그래픽 요청은 백그라운드에서 FlowSight를 실행하여 처리되도록 FLOW-3D Cast에 정의되어 있습니다. 원하는 해석 결과를 생성할 수 있는 컨텍스트 파일을 사용하면 Batch 후처리 기능을 사용할 수 있습니다. Batch 후처리가 완료되면, 사용자는 쉽게 자신의 관리자, 동료, 또는 클라이언트에 보낼 수있는 HTML5 형식의 완벽한 기능을 갖춘 보고서를 만들 수 있습니다. 이미지 및 동영상도 보고서에 포함 할 수 있고, 사용자는 텍스트, 캡션, 참고 문헌의 형식을 완벽하게 제어 하고 유지할 수 있습니다. Read the blog post >

Metal Casting Models

Squeeze Pin Model

스퀴즈 핀은 주조시 주입 공급이 어려운 영역에서, 응고하는 동안 금속 수축을 보상하기 위해 사용되는 실제의 다이 캐스팅 머신의 동작을 모델링하는 해석을 할 수 있습니다. 스퀴즈 핀은 선택된 표면에 cylinderical squeeze pin을 추가하여, STL 파일 또는 대화식으로 생성 될 수 있습니다. Read the development note >

Intensification Pressure Model

새로운 플런저 타입 형상이 추가 되었습니다. 강화된 압력 조건으로 macro-shrinkage 와 micro-porosity 제거를 지정할 수 있습니다.

Thermal Die Cycling model

FLOW-3D Cast v4.1's full process thermal die cycling model

다이싸이클링 (Thermal die cycling, TDC) 모델에 새로운 두 가지의 단계가 추가되었습니다. 금형이 열린 상태에서 제품이 여전히 금형 내부에 있는 ejection 단계와, 금형이 닫혔지만 사출 바로전의 preparation 단계가 추가되었습니다. 또한, 마지막 싸이클만이 아닌 모든 금형 싸이클 모두 수렴된 결과를 전달하기 위해 TDC 솔버가 성능 손실 없이 최적화 되었습니다. Read the blog post >

Valves and Vents

Modeling valves and vents in FLOW-3D Cast v4.1

밸브와 밴트의 외부 압력과 온도는 이제 사용자가 다이 캐스팅 공정에서 충진중에 보다 실제적인 동작을 정의 할 수 있도록, 시간의 표 함수로서 정의 할 수있습니다. 밸브 및 벤트의 압력 및 온도는 프로세스 설계 단계에서 유용한 제품 내부에 설정된 프로브에 의해 제어 될 수 있습니다.

PQ2 Diagram

PQ2다이어그램의 사용은 사용자가 더 나은 슬리브의 플런저 실제 움직임과 유사하게 적용 할 수 있습니다. 새로운 기능은 실제 공정 변수가 아직 알려져 있지 않았을 때 다이캐스팅 설계 단계 중에 특히 유용합니다. Read the blog post >

Cooling Channels

냉각 채널은 금형 각각의 냉각 유로에 의해 제거되거나 추가된 열의 총량에 의해 제어 될 수 있습니다. Read the development note >

Air Entrainment Model

Air entrainment 모델에 compressibility를 입력하는 새로운 옵션이 추가되었습니다. 고압 다이캐스팅의 충진 공정과 같은 경우, 공기 압축성은 유체 압력의 변화로 인한 유체의 흐름에 중요한 인자가 됩니다.
 

Cavitation Model

캐비테이션 모델은 유동 조건의 더 넓은 범위에 걸쳐 유체의 캐비테이션 거동을 나타내도록 개선되었습니다. 캐비테이션 생성에 대한 새로운 옵션은 경험적 관계를 기반으로, 기존의 일정한 속도로 생성되는 방식에서 보완되었습니다. 새로운 passive gas model 옵션은 open bubbles이 아닌 유체내에 cavitationg gas를 추적하여, 계산에 필요한 격자와 계산시간을 줄일 수 있습니다. Read the development note >

Two-fluid Phase Change Model

Two-fluid phase change model 은 과냉각을 포함하도록 확장되었습니다. 일정한 과냉각 온도를 정의하고 가스 온도가 응축이 일어나기 전에 포화점 이하로 내려갈 수 있게 함으로써 구현됩니다.

Simulation Results and Analysis

Simulation Results File Editor

사용자가 FLOW-3D Cast v4.1 결과 파일들을 병합 및 제거 할 수 있는 편집 유틸리티

Linking flsgrf.* files

Restart 해석 결과 파일들(flsgrf.*)은 FlowSight 에서 하나의 연속적인 애니메이션 결과를 표시하기 위해 restart source 결과로 링크될 수 있습니다.

Fluid/wall Contact Time

A new spatial quantity has been added to the solution output that stores the time that metal spent in contact with each geometric component, as well as the time spent by each component with metal.

용탕이 각 geometry 컴포넌트를 접촉한 시간과 각 컴포넌트가 용탕과의 접촉 시간을 나타내는 새로운 공간적 양이 해석 아웃풋에 추가 되었습니다.

Performance and Usability

Calculators

열전달 계수, 열 침투 깊이, 밸브 손실 계수, 슬리브에 용탕량(깊이), 플런저의 속도를 계산할 수 있는 Calculators 기능이 Model Setup 창에서 바로 가능해졌습니다. 또한 유틸리티 메뉴에서도 가능합니다.

Thermal Die Cycling

Heat transfer database in FLOW-3D Cast v4.1

열전달 계수 데이터베이스와 각 싸이클 단계들이 입력되어있어 간편하게 다이싸이클링 해석을 하실 수 있습니다.

GMRES Pressure Solver

GMRES pressure solver의 속도가 솔버 데이터 구조의 최적화로 인해 2배까지 향상되었습니다. 이로 인해 메모리 사용량이 20% 미만으로 증가할 수 있습니다. Read the blog post >

Sampling Volumes

Sampling volume 기능은 STL로 정의할 수 있습니다. 각 sampling volume에 의해 계산된 양들의 목록은 유체의 부피, 최대/최소 온도, 파티클의 갯수와 같은 전체 해석 영역에 대해 모두 같은 양이 되도록 확장되었습니다.

 

FSI/TSE Model

구조분석 모델의 성능이 부분적인 coupling으로 해석 솔버의 병렬화와 최적화를 통해 향상되었습니다.

Workspaces

Workspaces 를 이전에 설치된 FLOW-3D에서 가져올 수 있습니다. Workspaces 와 사용자가 선택한 시뮬레이션들을 복사할 수 있습니다.

Expanded Simulation Pre-check

Simulation pre-check 기능은 preprocessor checks를 포함하고, 문제가 발생하는 경우 링크됩니다.

Improved Transparency

Depth-peeling 옵션은 transparent geometries 를 좀 더 잘 표현하고, v4.0보다 10배 빨라졌습니다.

Interactive Tools

Baffles, history probes, void/fluid pointers, valves, mass-momentum sources, squeeze pins에 대한 새로운 대화형 생성 기능이 추가되었습니다. 또한 probing과 clipping 도구들이 대화형으로 개선되었습니다.

General Enable/Disable

모든 objects (e.g., mesh blocks)은 활성화/비활성화 할 수 있습니다.

Estimated Remaining Simulation Time

솔버 메세지 파일에 short-print로 추정된 잔여 해석 시간이 추가 되었습니다.

Tabular Data

테이블 형식의 데이터에서 선택된 데이터를 마우스 오른쪽 버튼을 클릭하여 csv파일 또는 외부 파일에 복사, 저장할 수 있습니다.

1 23-10 Michael R. Barkhudarov, Minimizing Air Entrainment, The Canadian Die Caster, June 2010

공기 갇힘 / Air Entrapment

공기 갇힘 / Air Entrapment

FLOW-3D  의 공기 혼입 모델은 중력 주조 공정과 같은 금속 주조 시스템에서 발생하는 갇힌 공기의 양을 추정하는데 사용됩니다. 이는 단순한 물리적 메커니즘을 기반으로하므로 고압 다이 캐스팅 공정과 같은 다른 금속 주조 시스템에서 발생하는 혼입 공기의 양을 추정하는 데에도 사용할 수 있습니다. 최근 모델에 더 많은 물리적 세부 사항이 추가되어 기포 형태로 가정되는 동반 공기가 부력으로 인해 주변 액체 금속에서 상승하고 심지어 자유 표면에 도달하면 액체를 떠나는 것으로 모델링 할 수 있습니다.

고객 사례

Littler Diecast Co.

A380에 캐스팅 된 지지대. 공기 흡입에 의해 착색됩니다. Littler Diecast Co.의 예

Deco Products

Caster Wheel Leg part의 4 가지 시뮬레이션 사례. 이 부품들은 아연 합금 # 5로 만들어져 있습니다. 데코 제품의 예.

Shiloh Industries

동반 된 공기의 비율로 착색 된 전면 기어 하우징, 380 다이캐스팅 합금. Shiloh Industries의 예.
이 모델에 대한 더 자세한 정보는 Air Entrainment 의 Flow Science Report를 다운로드하십시오.

FSR_01-12_Air-Entrainment-Report [공기 혼입 모델 분석]

Overview
In free-surface flows the turbulence in the liquid may be sufficient to disturb the surface to the point of entraining air into the flow. This process is important, for example, in water treatment where air is needed to sustain microorganisms for water purification and in rivers and streams for sustaining a healthy fish population. Air entrainment is typically engineered into spillways downstream of hydropower plants to reduce the possibility of cavitation damage at the base of the spillway. Situations where air entrainment is undesirable are in the sprue and runner systems used by metal casters, and in the filling of liquid containers used for consumer products.
The importance of being able to predict the amount and distribution of entrained air at a free liquid surface has led to the development of a unique model in FLOW-3D®. The model has two options. One option, to be used when the volume fraction of entrained air is relatively low, uses a passive scalar variable to record and transport the air volume fraction. This model is passive in that it does not alter the dynamics of the flow.
The second air-entrainment model option is based on a variable density formulation. This model includes the “bulking” of fluid volume by the addition of air and the buoyancy effects associated with entrained air. This dynamically coupled model cannot, however, be used in conjunction with heat transport and natural (thermal) convection.
In addition, when using the variable density formulation, the model can include a relative drifting of air in water, the possible escape of air if it rises to the surface of the water and the removal or addition of air to trapped bubble regions represented as adiabatic bubbles.
The same basic entrainment process is used in both options. It is based on a competition between the stabilizing forces of gravity and surface tension and the destabilizing effects of surface turbulence.
Because turbulence is the main cause of entrainment, a turbulence-transport model must be used in connection with the air-entrainment model. It is recommended that the RNG version of the more traditional k-epsilon turbulence model be employed. All the validation tests reported in this Technical Note were performed using the RNG model.

 

[다운로드]

FSR_01-12_Air-Entrainment-Report

Modeling Turbulent Entrainment of Air at a Free Surface

Overview
In free-surface flows the turbulence in the liquid may be sufficient to disturb the surface to the point of entraining air into the flow. This process is important, for example, in water treatment where air is needed to sustain microorganisms for water purification and in rivers and streams for sustaining a healthy fish population. Air entrainment is typically engineered into spillways downstream of hydropower plants to reduce the possibility of cavitation damage at the base of the spillway. Other situations where air entrainment is undesirable are in the sprue and runner systems used by metal casters, and in the filling of liquid containers used for consumer products.
The importance of being able to predict the amount and distribution of entrained air at a free liquid surface has led to the development of a unique model that can be easily inserted into FLOW-3D® as a user customization. The model has two options. One option, to be used when the volume fraction of entrained air is relatively low, uses a scalar variable to record the air volume fraction. This model is passive in that it does not alter the dynamics of the flow.
A second air-entrainment model, option two, is based on a variable density formulation. This model includes the “bulking” of fluid volume by the addition of air and the buoyancy effects associated with entrained air. However, this dynamically coupled model cannot be used in connection with heat transport and natural (thermal) convection.
In both model options the same basic entrainment process is used that is based on a competition between the stabilizing forces of gravity and surface tension and the destabilizing effects of surface turbulence. The model is described in the next section. Because turbulence is the main cause of entrainment, a turbulence-transport model must be used in connection with the air-entrainment model (i.e., ifvis=3 or 4). It is recommended that the RNG version of the more traditional k-epsilon turbulence model be employed. All the validation tests reported in this Technical Note were performed using the RNG turbulence model.

물리 모델 소개

FLOW-3D 는 고도의 정확성이 필요한 항공, 자동차,  수자원 및 환경, 금속 산업분야의 세계적인 선진 기업에서 사용됩니다.

FLOW-3D의 광범위한 다중 물리 기능(multiphysics )은 자유 표면 흐름, 표면 장력, 열전달, 난류, 움직이는 물체, 단순 변형 고체, 전기 기계, 캐비테이션, 탄/소성, 점성, 가소성, 입자, 고체 연료, 연소 및 위상 변화를 포함합니다.
이러한 모델은 FLOW-3D를 사용하는 사용자들이 기술 및 과학의 광범위한 문제를 해결하도록 설계를 최적화하고 복잡한 프로세스 흐름에 대한 통찰력을 얻을 수 있도록 합니다.

flow-3d-multiphysics-model
Physics Models
Flow/Fluid Modes
  • Incompressible and Compressible Flows
  • Constant/Varying Density
  • Fluid Sources
  • Non-Inertial Frame Reference
  • Laminar/Turbulent Flow
  • Elastic Stresses
  • Electro-Mechanics
  • Heat Transfer
  • Particle Tracking
  • Surface Tension
  • Wall Contact Time
  • Phase Change

Materials Databases
  • Fluids Database
  • Solids Database

매우 정확한
시뮬레이션 결과

FAVOR™, 으로 알려진 특별한 메쉬 프로세스는 데카르트 구조의 단순함을 유지하면서 복잡한 형상을 효율적으로 구현합니다.

Optimized Setup
and Workflow

TruVOF 표면 추적 방법은 유동시뮬레이션을 위해 알려진 유체 체적을 사용하는 동안 가장 높은 정확도를 제공합니다.

FlowSight
Postprocessing

산업계에서 최고의 시각화 postprocessor인 FlowSight 는 사용자에게 2차원 및 3차원에 대한 심층 분석 기능을 제공합니다.

 

Coating Bibliography

아래는 코팅 참고 문헌의 기술 문서 모음입니다. 
이 모든 논문은 FLOW-3D  결과를 포함하고 있습니다. FLOW-3D를 사용하여 코팅 공정을 성공적으로 시뮬레이션  하는 방법에 대해 자세히 알아보십시오.

Coating Bibliography

2024년 11월 20일 Update

98-24 Fabiano I. Indicatti, Bo Cheng, Michael Rädler, Elisabeth Stammen, Klaus Dilger, Experimental and numerical investigation of the squeegee process during stencil printing of thick adhesive sealings, The Journal of Adhesion, 2024. doi.org/10.1080/00218464.2024.2356105

130-22   Md Didarul Islam, Himendra Perera, Benjamin Black, Matthew Phillips, Muh-Jang Chen, Greyson Hodges, Allyce Jackman, Yuxuan Liu, Chang-Jin Kim, Mohammed Zikry, Saad Khan, Yong Zhu, Mark Pankow, Jong Eun Ryu, Template-free scalable fabrication of linearly periodic microstructures by controlling ribbing defects phenomenon in forward roll coating for multifunctional applications, Advanced Materials Interfaces, 9.27; 2201237, 2022. doi.org/10.1002/admi.202201237

03-21   Delong Jia, Peng Yi, Yancong Liu, Jiawei Sun, Shengbo Yue, Qi Zhao, Effect of laser­ textured groove wall interface on molybdenum coating diffusion and metallurgical bonding, Surface and Coatings Technology, 405; 126561, 2021. doi.org/10.1016/j.surfcoat.2020.126561

50-19     Peng Yi, Delong Jia, Xianghua Zhan, Pengun Xu, and Javad Mostaghimi, Coating solidification mechanism during plasma-sprayed filling the laser textured grooves, International Journal of Heat and Mass Transfer, Vol. 142, 2019. doi:10.1016/j.ijheatmasstransfer.2019.118451

01-19   Jelena Dinic and Vivek Sharma, Computational analysis of self-similar capillary-driven thinning and pinch-off dynamics during dripping using the volume-of-fluid method, Physics of Fluids, Vol. 31, 2019. doi: 10.1063/1.5061715

85-18   Zia Jang, Oliver Litfin and Antonio Delgado, A semi-analytical approach for prediction of volume flow rate in nip-fed reverse roll coating process, Proceedings in Applied Mathematics and Mechanics, Vol. 18, no. 1, Special Issue: 89th Annual Meeting of the International Association of Applied Mathematics and Mechanics, 2018. doi: 10.1002/pamm.201800317

80-14   Hiroaki Koyama, Kazuhiro Fukada, Yoshitaka Murakami, Satoshi Inoue, and Tatsuya Shimoda, Investigation of Roll-to-Sheet Imprinting for the Fabrication of Thin-film Transistor Electrodes, IEICE TRAN, ELECTRON, VOL.E97-C, NO.11, November 2014

46-14   Isabell Vogeler, Andreas Olbers, Bettina Willinger and Antonio Delgado, Numerical investigation of the onset of air entrainment in forward roll coating, 17th International Coating Science and Technology Symposium September 7-10, 2014 San Diego, CA, USA

17-12  Chi-Feng Lin, Bo-Kai Wang, Carlos Tiu and Ta-Jo Liu, On the Pinning of Downstream Meniscus for Slot Die Coating, Advances in Polymer Technology, Vol. 00, No. 0, 1-9 (2012) © 2012 Wiley Periodicals, Inc. Available online at Wiley.

01-11  Reid Chesterfield, Andrew Johnson, Charlie Lang, Matthew Stainer, and Jonathan Ziebarth, Solution-Coating Technology for AMOLED Displays, Information Display Magazine, 1/11 0362-0972/01/2011-024 © SID 2011.

61-09 Yi-Rong Chang, Chi-Feng Lin and Ta-Jo Liu, Start-up of slot die coating, Polymer Engineering and Science, Vol. 49, pp. 1158-1167, 2009. doi:10.1002/pen.21360

26-06  James M. Brethour, 3-D transient simulation of viscoelastic coating flows, 13th International Coating Science and Technology Symposium, September 2006, Denver, Colorado

19-06  Ivosevic, M., Cairncross, R. A., and Knight, R., 3D Predictions of Thermally Sprayed Polymer Splats Modeling Particle Acceleration, Heating and Deformation on Impact with a Flat Substrate, Int. J. of Heat and Mass Transfer, 49, pp. 3285 – 3297, 2006

9-06  M. Ivosevic, R. A. Cairncross, R. Knight, T. E. Twardowski, V. Gupta, Drexel University, Philadelphia, PA; J. A. Baldoni, Duke University, Durham, NC, Effect of Substrate Roughness on Splatting Behavior of HVOF Sprayed Polymer Particles Modeling and Experiments, International Thermal Spray Conference, Seattle, WA, May 2006.

26-05  Ivosevic, M., Cairncross, R. A., Knight, R., Impact Modeling of Thermally Sprayed Polymer Particles, Proc. International Thermal Spray Conference [ITSC-2005], Eds., DVS/IIW/ASM-TSS, Basel, Switzerland, May 2005.

11-05  Brethour, J., Simulation of Viscoelastic Coating Flows with a Volume-of-fluid Technique, in Proceedings of the 6th European Coating Symposium, Bradford, UK, 2005

1-05 C.W. Hirt, Electro-Hydrodynamics of Semi-Conductive Fluids: With Application to Electro-Spraying, Flow Science Technical Note #70, FSI-05-TN70

38-04 K.H. Ho and Y.Y. Zhao, Modelling thermal development of liquid metal flow on rotating disc in centrifugal atomisation, Materials Science and Engineering, A365, pp. 336-340, 2004. doi:10.1016/j.msea.2003.09.044

30-04  M. Ivosevic, R.A. Cairncross, and R. Knight, Impact Modeling of HVOF Sprayed Polymer Particles, Presented at the 12th International Coating Science and Technology Symposium, Rochester, New York, September 23-25, 2004

29-04  J.M. Brethour and C.W. Hirt, Stains Arising from Dried Liquid Drops, Presented at the 12th International Coating Science and Technology Symposium, Rochester, New York, September 23-25, 2004

20-03  James Brethour, Filling and Emptying of Gravure Cells–A CFD Analysis, Convertech Pacific October 2002, Vol. 10, No 4, p 34-37

4-03   M. Toivakka, Numerical Investigation of Droplet Impact Spreading in Spray Coating of Paper, In Proceedings of 2003 TAPPI 8th Advanced Coating Fundamentals Symposium, TAPPI Press, Atlanta, 2003

28-02  J.M. Brethour and H. Benkreira, Filling and Emptying of Gravure Cells—Experiment and CFD Comparison, 11th International Coating Science and Technology Symposium, September 23-25, 2002, Minneapolis, Minnesota

22-02  Hirt, C.W., and Brethour, J.M., Contact Line on Rough Surfaces with Application to Air Entrainment, Presented at the 11th International Coating Science and Technology Symposium, September 23-25, 2002, Minneapolis, Minnesota. Unpublished.

17-01  J. M. Brethour, C. W. Hirt, Moving Contact Lines on Rough Surfaces, 4th European Coating Symposium, 2001, Belgium

16-01  J. M. Brethour, Filling and Emptying of Gravure Cells–-A CFD Analysis, proceedings of the 4th European Coating Symposium 2001, October 1-4, 2001, Brussels, Belgium

26-00 Ronald H. Miller and Gary S. Strumolo, A Self-Consistent Transient Paint Simulation, Proceedings of IMEC2000: 2000 ASME International Mechanical Engineering Congress and Exposition, November 2000, Orlando, Florida

6-99  C. W. Hirt, Direct Computation of Dynamic Contact Angles and Contact Lines, ECC99 Coating Conference, Erlangen, Germany (FSI-99-00-2), Sept. 1999

7-98 J. E. Richardson and Y. Becker, Three-Dimensional Simulation of Slot Coating Edge Effects, Flow Science Inc, and Polaroid Corporation, presented at the 9th International Coating Science and Technology Symposium, Newark, DE, May 18-20, 1998

6-98  C. W. Hirt and E. Choinski, Simulation of the Wet-Start Process in Slot Coating, Flow Science Inc, and Polaroid Corporation, presented at the 9th International Coating Science and Technology Symposium, Newark, DE, May 18-20, 1998

3-97  C. W. Hirt and J. E. Richardson of Flow Science Inc, and K.S. Chen, Sandia National Laboratory, Simulation of Transient and Three-Dimensional Coating Flows Using a Volume-of-Fluid Technique, presented at the 50th Annual Conference of the Society for Imaging and Science Technology, Boston, MA 18-23 May 1997

2-96 C. W. Hirt, K. S. Chen, Simulation of Slide-Coating Flows Using a Fixed Grid and a Volume-of-Fluid Front-Tracking Technique, presented a the 8th International Coating Process Science & Technology Symposium, February 25-29, 1996, New Orleans, LA

Metal Casting Bibliography

다음은 금속 주조 참고 문헌의 기술 문서 모음입니다. 
이 모든 논문은 FLOW-3D  CAST  결과를 포함하고 있습니다. FLOW-3D  CAST 를 사용하여 금속 주조 산업의 어플리케이션을 성공적으로 시뮬레이션  하는 방법에 대해 자세히 알아보십시오.

2024년 11월 20일 Update

93-24 Benedict Baumann, Andreas Kessler, Claudia Dommaschk, Gotthard Wolf , Influence of filter structure and casting system on filtration efficiency in aluminum mold casting, Multifunctional Ceramic Filter Systems for Metal Melt Filtration, Eds. C.G. Aneziris, H. Biermann, Springer Series in Materials Science, 337; 2024. doi.org/10.1007/978-3-031-40930-1_28

93-24 Benedict Baumann, Andreas Kessler, Claudia Dommaschk, Gotthard Wolf , Influence of filter structure and casting system on filtration efficiency in aluminum mold casting, Multifunctional Ceramic Filter Systems for Metal Melt Filtration, Eds. C.G. Aneziris, H. Biermann, Springer Series in Materials Science, 337; 2024. doi.org/10.1007/978-3-031-40930-1_28

87-24 Rahul Jayakumar, T.P.D. Rajan, Sivaraman Savithri, A GPU based accelerated solver for simulation of heat transfer during metal casting process, Modelling and Simulation in Materials Science and Engineering, 32.5; 055013, 2024. doi.org/10.1088/1361-651X/ad4406

46-24 Masyrukan, Irwan Mawarda, Sunardi Wiyono, Bibit Sugito, Ummi Kultsum, Dessy Ade Pratiwi, Desi Gustiani, Nur Annisa Istiqamah, The effect of differences in in-gate diameter size on the structure and mechanical properties of aluminum (Al) castings in pipe products with a red sand mold, AIP Conference Proceedings, 2838.1; 2024. doi.org/10.1063/5.0185773

43-24 German Alberto Barragán De Los Rios, Silvio Andrés Salazar Martínez, Emigdio Mendoza Fandiño, Patricia Fernández-Morales, Numerical simulation of aluminum foams by space holder infiltration, International Journal of Metalcasting, 2024. doi.org/10.1007/s40962-024-01287-8

40-24 Bin Zhang, Gary P. Grealy, Thermomechanical modeling on AirSlip® billet DC casting of high-strength crack-prone aluminum alloys, Light Metals 2024, Eds. S. Wagstaff, pp. 1015-1025, 2024. doi.org/10.1007/978-3-031-50308-5_128

35-24 Balaji Chandrakanth, Ved Prakash, Adwaita Maiti, Diya Mukherjee, Development of triply periodic minimal surface (TPMS) inspired structured cast iron foams through casting route, International Journal of Metalcasting, 2024. doi.org/10.1007/s40962-023-01247-8

19-24   Diya Mukherjee, Himadri Roy, Balaji Chandrakanth, Nilrudra Mandal, Sudip Kumar Samanta, Manidipto Mukherjee, Enhancing properties of Al-Zn-Mg-Cu alloy through microalloying and heat treatment, Materials Chemistry and Physics, 314; 128881, 2024. doi.org/10.1016/j.matchemphys.2024.128881

46-24 Masyrukan, Irwan Mawarda, Sunardi Wiyono, Bibit Sugito, Ummi Kultsum, Dessy Ade Pratiwi, Desi Gustiani, Nur Annisa Istiqamah, The effect of differences in in-gate diameter size on the structure and mechanical properties of aluminum (Al) castings in pipe products with a red sand mold, AIP Conference Proceedings, 2838.1; 2024. doi.org/10.1063/5.0185773

43-24 German Alberto Barragán De Los Rios, Silvio Andrés Salazar Martínez, Emigdio Mendoza Fandiño, Patricia Fernández-Morales, Numerical simulation of aluminum foams by space holder infiltration, International Journal of Metalcasting, 2024. doi.org/10.1007/s40962-024-01287-8

40-24 Bin Zhang, Gary P. Grealy, Thermomechanical modeling on AirSlip® billet DC casting of high-strength crack-prone aluminum alloys, Light Metals 2024, Eds. S. Wagstaff, pp. 1015-1025, 2024. doi.org/10.1007/978-3-031-50308-5_128

35-24 Balaji Chandrakanth, Ved Prakash, Adwaita Maiti, Diya Mukherjee, Development of triply periodic minimal surface (TPMS) inspired structured cast iron foams through casting route, International Journal of Metalcasting, 2024. doi.org/10.1007/s40962-023-01247-8

19-24   Diya Mukherjee, Himadri Roy, Balaji Chandrakanth, Nilrudra Mandal, Sudip Kumar Samanta, Manidipto Mukherjee, Enhancing properties of Al-Zn-Mg-Cu alloy through microalloying and heat treatment, Materials Chemistry and Physics, 314; 128881, 2024. doi.org/10.1016/j.matchemphys.2024.128881

181-23   Daichi Minamide, Ken’ichi Yano, Masahiro Sano, Takahiro Aoki, Overflow design system to decrease gas defects considering the direction of molten metal flow, 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, 2023. doi.org/10.1109/ICECCME57830.2023.10253413

102-23 Daichi Minamide, Ken’ichi Yano, Masahiro Sano, Takahiro Aoki, Automatic design of overflow system for preventing gas defects by considering the direction of molten metal flow, Computer-Aided Design, 163; 103586, 2023. doi.org/10.1016/j.cad.2023.103586

87-23 Prosenjit Das, Optimisation of melt pouring temperature and low superheat casting of Al-15Mg2Si-4.5Si composite, International Journal of Cast Metals Research, 36.1-3; 2023. doi.org/10.1080/13640461.2023.2211895

60-23   Yuanhao Gu, Feng Wang, Jian Jiao, Zhi Wang, Le Zhou, Pingli Mao, Zheng Liu, Study on semisolid rheo-diecasting process, microstructure and mechanical properties of Mg-6Al-1Ca-0.5Sb alloy with high solid fraction, International Journal of Metalcasting, 2023. doi.org/10.1007/s40962-023-01001-0

48-23   Patricia Fernández‑Morales, Lauramaría Echeverrí, Emigdio Mendoza Fandiño, Alejandro Alberto Zuleta Gil, Replication casting and additive manufacturing for fabrication of cellular aluminum with periodic topology: optimization by CFD simulation, The International Journal of Advanced Manufacturing Technology, 26; pp. 1789-1797, 2023. doi.org/10.1007/s00170-023-11124-7

45-23   Daniel Martinez, Philip King, Santosh Reddy Sama, Jay Sim, Hakan Toykoc, Guha Manogharan, Effect of freezing range on reducing casting defects through 3D sand-printed mold designs, The International Journal of Advanced Manufacturing Technology, 2023. doi.org/10.1007/s00170-023-11112-x

38-23   Emanuele Pagone, Christopher Jones, John Forde, William Shaw, Mark Jolly, Konstantinos Salonitis, Defect minimization in vacuum-assisted plaster mould investment casting through simulation of high-value aluminium alloy components, TMS 2023: Light Metals, pp. 1078-1086, 2023.

33-23   Philip King, Guha Manogharan, Novel experimental method for metal flow analysis using open molds for sand casting, International Journal of Metalcasting, 2023. doi.org/10.1007/s40962-023-00966-2

32-23   Sujeet Kumar Gautam, Himadri Roy, Aditya Kumar Lohar, Sudip Kumar Samanta, Studies on mold filling behavior of Al–10.5Si–1.7Cu Al alloy during rheo pressure die casting system, International Journal of Metalcasting, 2023. doi.org/10.1007/s40962-023-00958-2

31-23   Anand Kumbhare, Prasenjit Biswas, Anil Bisen, Chandan Choudary, Investigation of effect of the rheological parameters on the flow behavior of ADC12 Al alloy in rheo-pressure die casting, International Journal of Metalcasting, 2023. doi.org/10.1007/s40962-023-00962-6

24-23   Natalia Raźny, Anna Dmitruk, Maria Serdechnova, Carsten Blawert, Joanna Ludwiczak, Krzysztof Naplocha, The performance of thermally conductive tree-like cast aluminum structures in PCM-based storage units, International Communications in Heat and Mass Transfer, 142; 106606, 2023. doi.org/10.1016/j.icheatmasstransfer.2022.106606

172-22 J. Yokesh Kumar, S. Gopi, K.S. Amirthagadeswaran, Redesigning and numerical simulation of gating system to reduce cold shut defect in submersible pump part castings, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2022. doi.org/10.1177/0954408922114218

125-22   Maximilian Erber, Tobias Rosnitschek, Christoph Hartmann, Bettina Alber-Laukant, Stephan Tremmel, Wolfram Volk, Geometry-based assurance of directional solidification for complex topology-optimized castings using the medial axis transform, Computer-Aided Design, 152; 103394, 2022. doi.org/10.1016/j.cad.2022.103394

74-22    Vasilios Fourlakidis, Ilia Belov, Attila Diószeg, Experimental model of the pearlite interlamellar spacing in lamellar graphite iron, Tecnologia em Metalurgia, Materiais e Mineração, 19; e2634, 2022. doi.org/10.4322/2176-1523.20222634

71-22   M. G. Mahmoud, Amr Abdelghany, Serag Salem, Numerical simulation of door lock plates castings produced by high pressure die casting process, International Journal of Metalcasting, 2022. doi.org/10.1007/s40962-022-00797-7

70-22   Andreas Schilling, Daniel Schmidt, Jakob Glück, Niklas Schwenke, Husam Sharabi, Martin Fehlbier, About the impact on gravity cast salt cores in high pressure die casting and rheocasting, Simulation Modelling Practice and Theory, 119; 102585, 2022. doi.org/10.1016/j.simpat.2022.102585

52-22   Manthan Dhisale, Jitesh Vasavada, Asim Tewari, An approach to optimize cooling channel parameters of low pressure die casting process for reducing shrinkage porosity in aluminium alloy wheels, Materials Today: Proceedings, in print, 2022. doi.org/10.1016/j.matpr.2022.03.478

44-22   Zihan Lang, Feng Wang, Wei Wang, Zhi Wang, Le Zhou, Pingli Mao, Zheng Liu, Numerical simulation and experimental study on semi-solid forming process of 319s aluminum alloy test bar, International Journal of Metalcasting, 2022. doi.org/10.1007/s40962-022-00788-8

32-22   Elisa Fracchia, Federico Simone Gobber, Claudio Mus, Raul Pirovino, Mario Russo, The local squeeze technology for challenging aluminium HPDC automotive components, Light Metals, pp. 772-778, 2022. doi.org/10.1007/978-3-030-92529-1_102

141-21   O. Ayer, O. Kaya, Mould design optimisation by FEM, Journal of Physics: Conference Series, 2130; 012021, 2021. doi.org/10.1088/1742-6596/2130/1/012021

117-21   I. Rajkumar, N. Rajini, T. Ram Prabhu, Sikiru O. Ismail, Suchart Siengchin, Faruq Mohammad, Hamad A. Al-Lohedan , Applicability of angular orientations of gating designs to quality of sand casting components using two-cavity mould set-up, Transactions of the Indian Institute of Metals, 2021. doi.org/10.1007/s12666-021-02434-z

106-21   M. Ahmed, E. Riedel, M. Kovalko, A. Volochko, R. Bähr, A. Nofal, Ultrafine ductile and austempered ductile irons by solidification in ultrasonic field, International Journal of Metalcasting, 2021. doi.org/10.1007/s40962-021-00683-8

97-21   J. Glueck, A. Schilling, N. Schwenke, A. Fros, M.Fehlbier, Efficiency and agility of a liquid CO2 cooling system for molten metal systems, Case Studies in Thermal Engineering, 28; 101485, 2021. doi.org/10.1016/j.csite.2021.101485

82-21   Giulia Scampone, Raul Pirovano, Stefano Mascetti, Giulio Timelli, Experimental and numerical investigations of oxide-related defects in Al alloy gravity die castings, The International Journal of Advanced Manufacturing Technology, 117; pp. 1765-1780, 2021. doi.org/10.1007/s00170-021-07680-5

74-21   Shuyang Ren, Feng Wang, Jingying Sun, Zheng Liu, Pingli Mao, Gating system design based on numerical simulation and production experiment verification of aluminum alloy bracket fabricated by semi-solid rheo-die casting process, International Journal of Metalcasting, 2021. doi.org/10.1007/s40962-021-00648-x

69-21   Ozen Gursoy, Murat Colak, Kazim Tur, Derya Dispinar, Characterization of properties of Vanadium, Boron and Strontium addition on HPDC of A360 alloy, Materials Chemistry and Physics, 271; 124931, 2021. doi.org/10.1016/j.matchemphys.2021.124931

54-21   K. Munpakdee, P. Ninpetch, S. Otarawanna, R. Canyook, P. Kowitwarangkul, Effect of feed sprue size on porosity defects in Platinum 950 centrifugal investment casting via numerical modelling, IOP Conference Series: Materials Science and Engineering, 11th TSME-International Conference on Mechanical Engineering, Ubon Ratchathani, Thailand, December 1-4, 2020, 1137; 012021, 2021. doi.org/10.1088/1757-899X/1137/1/012021/

44-21   Yunxiang Zhang, Haidong Zhao, Fei Liu, Microstructure characteristics and mechanical properties improvement of gravity cast Al-7Si-0.4Mg alloys with Zr additions, Materials Characterization, 176; 111117, 2021. doi.org/10.1016/j.matchar.2021.111117

05-21   Heqian Song, Lunyong Zhang, Fuyang Cao, Xu Gu, Jianfei Sun, Oxide bifilm defects in aluminum alloy castings, Materials Letters, 285; 129089, 2021. doi.org/10.1016/j.matlet.2020.129089

127-20   Eric Riedel, Niklas Bergedieck, Stefan Scharf, CFD simulation based investigation of cavitation cynamics during high intensity ultrasonic treatment of A356, Metals, 10.11; 1529, 2020. doi.org/10.3390/met10111529

86-20       Malte Leonhard, Matthias Todte, Jörg Schäfer, Realistic simulation of the combustion of exothermic feeders, Modern Casting, August 2020; pp. 35-40, 2020. (See also 58-19)

52-20       Mingfan Qi, Yonglin Kang, Jingyuan Li, Zhumabieke Wulabieke, Yuzhao Xu, Yangde Li, Aisen Liu, Junchen Chen, Microstructures refinement and mechanical properties enhancement of aluminum and magnesium alloys by combining distributary-confluence channel process for semisolid slurry preparation with high pressure die-casting, Journal of Materials Processing Technology, 285; 116800, 2020. doi.org/10.1016/j.jmatprotec.2020.116800

46-20       Yasushi Iwata, Shuxin Dong, Yoshio Sugiyama, Jun Yaokawa, Melt permeability changes during solidification of aluminum alloys and application to feeding simulation for die castings, Materials Transactions, 61.7; pp. 1381-1386, 2020. doi.org/10.2320/matertrans.F-M2020822

45-20       Daniel Bernal, Xabier Chamorro, Iñaki Hurtado, Iñaki Madariaga, Effect of boron content and cooling rate on the microstructure and boride formation of β-solidifying γ-TiAl TNM alloy, Metals, 10.5; 698, 2020. doi.org/10.3390/met10050698

33-20     Eric Riedel, Martin Liepe Stefan Scharf, Simulation of ultrasonic induced cavitation and acoustic streaming in liquid and solidifying aluminum, Metals, 10.4; 476, 2020. doi.org/10.3390/met10040476

20-20   Wu Yue, Li Zhuo and Lu Rong, Simulation and visual tester verification of solid propellant slurry vacuum plate casting, Propellants, Explosives, Pyrotechnics, 2020. doi.org/10.1002/prep.201900411

17-20   C.A. Jones, M.R. Jolly, A.E.W. Jarfors and M. Irwin, An experimental characterization of thermophysical properties of a porous ceramic shell used in the investment casting process, Supplimental Proceedings, pp. 1095-1105, TMS 2020 149th Annual Meeting and Exhibition, San Diego, CA, February 23-27, 2020. doi.org/10.1007/978-3-030-36296-6_102

12-20   Franz Josef Feikus, Paul Bernsteiner, Ricardo Fernández Gutiérrez and Michal Luszczak , Further development of electric motor housings, MTZ Worldwide, 81, pp. 38-43, 2020. doi.org/10.1007/s38313-019-0176-z

09-20   Mingfan Qi, Yonglin Kang, Yuzhao Xu, Zhumabieke Wulabieke and Jingyuan Li, A novel rheological high pressure die-casting process for preparing large thin-walled Al–Si–Fe–Mg–Sr alloy with high heat conductivity, high plasticity and medium strength, Materials Science and Engineering: A, 776, art. no. 139040, 2020. doi.org/10.1016/j.msea.2020.139040

07-20   Stefan Heugenhauser, Erhard Kaschnitz and Peter Schumacher, Development of an aluminum compound casting process – Experiments and numerical simulations, Journal of Materials Processing Technology, 279, art. no. 116578, 2020. doi.org/10.1016/j.jmatprotec.2019.116578

05-20   Michail Papanikolaou, Emanuele Pagone, Mark Jolly and Konstantinos Salonitis, Numerical simulation and evaluation of Campbell running and gating systems, Metals, 10.1, art. no. 68, 2020. doi.org/10.3390/met10010068

102-19   Ferencz Peti and Gabriela Strnad, The effect of squeeze pin dimension and operational parameters on material homogeneity of aluminium high pressure die cast parts, Acta Marisiensis. Seria Technologica, 16.2, 2019. doi.org/0.2478/amset-2019-0010

94-19   E. Riedel, I. Horn, N. Stein, H. Stein, R. Bahr, and S. Scharf, Ultrasonic treatment: a clean technology that supports sustainability incasting processes, Procedia, 26th CIRP Life Cycle Engineering (LCE) Conference, Indianapolis, Indiana, USA, May 7-9, 2019.

93-19   Adrian V. Catalina, Liping Xue, Charles A. Monroe, Robin D. Foley, and John A. Griffin, Modeling and Simulation of Microstructure and Mechanical Properties of AlSi- and AlCu-based Alloys, Transactions, 123rd Metalcasting Congress, Atlanta, GA, USA, April 27-30, 2019.

84-19   Arun Prabhakar, Michail Papanikolaou, Konstantinos Salonitis, and Mark Jolly, Sand casting of sheet lead: numerical simulation of metal flow and solidification, The International Journal of Advanced Manufacturing Technology, pp. 1-13, 2019. doi:10.1007/s00170-019-04522-3

72-19   Santosh Reddy Sama, Eric Macdonald, Robert Voigt, and Guha Manogharan, Measurement of metal velocity in sand casting during mold filling, Metals, 9:1079, 2019. doi:10.3390/met9101079

71-19   Sebastian Findeisen, Robin Van Der Auwera, Michael Heuser, and Franz-Josef Wöstmann, Gießtechnische Fertigung von E-Motorengehäusen mit interner Kühling (Casting production of electric motor housings with internal cooling), Geisserei, 106, pp. 72-78, 2019 (in German).

58-19     Von Malte Leonhard, Matthias Todte, and Jörg Schäffer, Realistic simulation of the combustion of exothermic feeders, Casting, No. 2, pp. 28-32, 2019. In English and German.

52-19     S. Lakkum and P. Kowitwarangkul, Numerical investigations on the effect of gas flow rate in the gas stirred ladle with dual plugs, International Conference on Materials Research and Innovation (ICMARI), Bangkok, Thailand, December 17-21, 2018. IOP Conference Series: Materials Science and Engineering, Vol. 526, 2019. doi: 10.1088/1757-899X/526/1/012028

47-19     Bing Zhou, Shuai Lu, Kaile Xu, Chun Xu, and Zhanyong Wang, Microstructure and simulation of semisolid aluminum alloy castings in the process of stirring integrated transfer-heat (SIT) with water cooling, International Journal of Metalcasting, Online edition, pp. 1-13, 2019. doi: 10.1007/s40962-019-00357-6

31-19     Zihao Yuan, Zhipeng Guo, and S.M. Xiong, Skin layer of A380 aluminium alloy die castings and its blistering during solution treatment, Journal of Materials Science & Technology, Vol. 35, No. 9, pp. 1906-1916, 2019. doi: 10.1016/j.jmst.2019.05.011

25-19     Stefano Mascetti, Raul Pirovano, and Giulio Timelli, Interazione metallo liquido/stampo: Il fenomeno della metallizzazione, La Metallurgia Italiana, No. 4, pp. 44-50, 2019. In Italian.

20-19     Fu-Yuan Hsu, Campbellology for runner system design, Shape Casting: The Minerals, Metals & Materials Series, pp. 187-199, 2019. doi: 10.1007/978-3-030-06034-3_19

19-19     Chengcheng Lyu, Michail Papanikolaou, and Mark Jolly, Numerical process modelling and simulation of Campbell running systems designs, Shape Casting: The Minerals, Metals & Materials Series, pp. 53-64, 2019. doi: 10.1007/978-3-030-06034-3_5

18-19     Adrian V. Catalina, Liping Xue, and Charles Monroe, A solidification model with application to AlSi-based alloys, Shape Casting: The Minerals, Metals & Materials Series, pp. 201-213, 2019. doi: 10.1007/978-3-030-06034-3_20

17-19     Fu-Yuan Hsu and Yu-Hung Chen, The validation of feeder modeling for ductile iron castings, Shape Casting: The Minerals, Metals & Materials Series, pp. 227-238, 2019. doi: 10.1007/978-3-030-06034-3_22

04-19   Santosh Reddy Sama, Tony Badamo, Paul Lynch and Guha Manogharan, Novel sprue designs in metal casting via 3D sand-printing, Additive Manufacturing, Vol. 25, pp. 563-578, 2019. doi: 10.1016/j.addma.2018.12.009

02-19   Jingying Sun, Qichi Le, Li Fu, Jing Bai, Johannes Tretter, Klaus Herbold and Hongwei Huo, Gas entrainment behavior of aluminum alloy engine crankcases during the low-pressure-die-casting-process, Journal of Materials Processing Technology, Vol. 266, pp. 274-282, 2019. doi: 10.1016/j.jmatprotec.2018.11.016

82-18   Xu Zhao, Ping Wang, Tao Li, Bo-yu Zhang, Peng Wang, Guan-zhou Wang and Shi-qi Lu, Gating system optimization of high pressure die casting thin-wall AlSi10MnMg longitudinal loadbearing beam based on numerical simulation, China Foundry, Vol. 15, no. 6, pp. 436-442, 2018. doi: 10.1007/s41230-018-8052-z

80-18   Michail Papanikolaou, Emanuele Pagone, Konstantinos Salonitis, Mark Jolly and Charalampos Makatsoris, A computational framework towards energy efficient casting processes, Sustainable Design and Manufacturing 2018: Proceedings of the 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18), Gold Coast, Australia, June 24-26 2018, SIST 130, pp. 263-276, 2019. doi: 10.1007/978-3-030-04290-5_27

64-18   Vasilios Fourlakidis, Ilia Belov and Attila Diószegi, Strength prediction for pearlitic lamellar graphite iron: Model validation, Metals, Vol. 8, No. 9, 2018. doi: 10.3390/met8090684

51-18   Xue-feng Zhu, Bao-yi Yu, Li Zheng, Bo-ning Yu, Qiang Li, Shu-ning Lü and Hao Zhang, Influence of pouring methods on filling process, microstructure and mechanical properties of AZ91 Mg alloy pipe by horizontal centrifugal casting, China Foundry, vol. 15, no. 3, pp.196-202, 2018. doi: 10.1007/s41230-018-7256-6

47-18   Santosh Reddy Sama, Jiayi Wang and Guha Manogharan, Non-conventional mold design for metal casting using 3D sand-printing, Journal of Manufacturing Processes, vol. 34-B, pp. 765-775, 2018. doi: 10.1016/j.jmapro.2018.03.049

42-18   M. Koru and O. Serçe, The Effects of Thermal and Dynamical Parameters and Vacuum Application on Porosity in High-Pressure Die Casting of A383 Al-Alloy, International Journal of Metalcasting, pp. 1-17, 2018. /doi: 10.1007/s40962-018-0214-7

41-18   Abhilash Viswanath, S. Savithri, U.T.S. Pillai, Similitude analysis on flow characteristics of water, A356 and AM50 alloys during LPC process, Journal of Materials Processing Technology, vol. 257, pp. 270-277, 2018. doi: 10.1016/j.jmatprotec.2018.02.031

29-18   Seyboldt, Christoph and Liewald, Mathias, Investigation on thixojoining to produce hybrid components with intermetallic phase, AIP Conference Proceedings, vol. 1960, no. 1, 2018. doi: 10.1063/1.5034992

28-18   Laura Schomer, Mathias Liewald and Kim Rouven Riedmüller, Simulation of the infiltration process of a ceramic open-pore body with a metal alloy in semi-solid state to design the manufacturing of interpenetrating phase composites, AIP Conference Proceedings, vol. 1960, no. 1, 2018. doi: 10.1063/1.5034991

41-17   Y. N. Wu et al., Numerical Simulation on Filling Optimization of Copper Rotor for High Efficient Electric Motors in Die Casting Process, Materials Science Forum, Vol. 898, pp. 1163-1170, 2017.

12-17   A.M.  Zarubin and O.A. Zarubina, Controlling the flow rate of melt in gravity die casting of aluminum alloys, Liteynoe Proizvodstvo (Casting Manufacturing), pp 16-20, 6, 2017. In Russian.

10-17   A.Y. Korotchenko, Y.V. Golenkov, M.V. Tverskoy and D.E. Khilkov, Simulation of the Flow of Metal Mixtures in the Mold, Liteynoe Proizvodstvo (Casting Manufacturing), pp 18-22, 5, 2017. In Russian.

08-17   Morteza Morakabian Esfahani, Esmaeil Hajjari, Ali Farzadi and Seyed Reza Alavi Zaree, Prediction of the contact time through modeling of heat transfer and fluid flow in compound casting process of Al/Mg light metals, Journal of Materials Research, © Materials Research Society 2017

04-17   Huihui Liu, Xiongwei He and Peng Guo, Numerical simulation on semi-solid die-casting of magnesium matrix composite based on orthogonal experiment, AIP Conference Proceedings 1829, 020037 (2017); doi: 10.1063/1.4979769.

100-16  Robert Watson, New numerical techniques to quantify and predict the effect of entrainment defects, applied to high pressure die casting, PhD Thesis: University of Birmingham, 2016.

88-16   M.C. Carter, T. Kauffung, L. Weyenberg and C. Peters, Low Pressure Die Casting Simulation Discovery through Short Shot, Cast Expo & Metal Casting Congress, April 16-19, 2016, Minneapolis, MN, Copyright 2016 American Foundry Society.

61-16   M. Koru and O. Serçe, Experimental and numerical determination of casting mold interfacial heat transfer coefficient in the high pressure die casting of a 360 aluminum alloy, ACTA PHYSICA POLONICA A, Vol. 129 (2016)

59-16   R. Pirovano and S. Mascetti, Tracking of collapsed bubbles during a filling simulation, La Metallurgia Italiana – n. 6 2016

43-16   Kevin Lee, Understanding shell cracking during de-wax process in investment casting, Ph.D Thesis: University of Birmingham, School of Engineering, Department of Chemical Engineering, 2016.

35-16   Konstantinos Salonitis, Mark Jolly, Binxu Zeng, and Hamid Mehrabi, Improvements in energy consumption and environmental impact by novel single shot melting process for casting, Journal of Cleaner Production, doi:10.1016/j.jclepro.2016.06.165, Open Access funded by Engineering and Physical Sciences Research Council, June 29, 2016

20-16   Fu-Yuan Hsu, Bifilm Defect Formation in Hydraulic Jump of Liquid Aluminum, Metallurgical and Materials Transactions B, 2016, Band: 47, Heft 3, 1634-1648.

15-16   Mingfan Qia, Yonglin Kanga, Bing Zhoua, Wanneng Liaoa, Guoming Zhua, Yangde Lib,and Weirong Li, A forced convection stirring process for Rheo-HPDC aluminum and magnesium alloys, Journal of Materials Processing Technology 234 (2016) 353–367

112-15   José Miguel Gonçalves Ledo Belo da Costa, Optimization of filling systems for low pressure by FLOW-3D, Dissertação de mestrado integrado em Engenharia Mecânica, http://hdl.handle.net/1822/40132, 2015

89-15   B.W. Zhu, L.X. Li, X. Liu, L.Q. Zhang and R. Xu, Effect of Viscosity Measurement Method to Simulate High Pressure Die Casting of Thin-Wall AlSi10MnMg Alloy Castings, Journal of Materials Engineering and Performance, Published online, November 2015, DOI: 10.1007/s11665-015-1783-8, © ASM International.

88-15   Peng Zhang, Zhenming Li, Baoliang Liu, Wenjiang Ding and Liming Peng, Improved tensile properties of a new aluminum alloy for high pressure die casting, Materials Science & Engineering A651(2016)376–390, Available online, November 2015.

83-15   Zu-Qi Hu, Xin-Jian Zhang and Shu-Sen Wu, Microstructure, Mechanical Properties and Die-Filling Behavior of High-Performance Die-Cast Al–Mg–Si–Mn Alloy, Acta Metall. Sin. (Engl. Lett.), DOI 10.1007/s40195-015-0332-7, © The Chinese Society for Metals and Springer-Verlag Berlin Heidelberg 2015.

82-15   J. Müller, L. Xue, M.C. Carter, C. Thoma, M. Fehlbier and M. Todte, A Die Spray Cooling Model for Thermal Die Cycling Simulations, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

81-15   M. T. Murray, L.F. Hansen, L. Chilcott, E. Li and A.M. Murray, Case Studies in the Use of Simulation- Improved Yield and Reduced Time to Market, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

80-15   R. Bhola, S. Chandra and D. Souders, Predicting Castability of Thin-Walled Parts for the HPDC Process Using Simulations, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

76-15   Prosenjit Das, Sudip K. Samanta, Shashank Tiwari and Pradip Dutta, Die Filling Behaviour of Semi Solid A356 Al Alloy Slurry During Rheo Pressure Die Casting, Transactions of the Indian Institute of Metals, pp 1-6, October 2015

74-15   Murat KORU and Orhan SERÇE, Yüksek Basınçlı Döküm Prosesinde Enjeksiyon Parametrelerine Bağlı Olarak Döküm Simülasyon, Cumhuriyet University Faculty of Science, Science Journal (CSJ), Vol. 36, No: 5 (2015) ISSN: 1300-1949, May 2015

69-15   A. Viswanath, S. Sivaraman, U. T. S. Pillai, Computer Simulation of Low Pressure Casting Process Using FLOW-3D, Materials Science Forum, Vols. 830-831, pp. 45-48, September 2015

68-15   J. Aneesh Kumar, K. Krishnakumar and S. Savithri, Computer Simulation of Centrifugal Casting Process Using FLOW-3D, Materials Science Forum, Vols. 830-831, pp. 53-56, September 2015

59-15   F. Hosseini Yekta and S. A. Sadough Vanini, Simulation of the flow of semi-solid steel alloy using an enhanced model, Metals and Materials International, August 2015.

44-15   Ulrich E. Klotz, Tiziana Heiss and Dario Tiberto, Platinum investment casting material properties, casting simulation and optimum process parameters, Jewelry Technology Forum 2015

41-15   M. Barkhudarov and R. Pirovano, Minimizing Air Entrainment in High Pressure Die Casting Shot Sleeves, GIFA 2015, Düsseldorf, Germany

40-15   M. Todte, A. Fent, and H. Lang, Simulation in support of the development of innovative processes in the casting industry, GIFA 2015, Düsseldorf, Germany

19-15   Bruce Morey, Virtual casting improves powertrain design, Automotive Engineering, SAE International, March 2015.

15-15   K.S. Oh, J.D. Lee, S.J. Kim and J.Y. Choi, Development of a large ingot continuous caster, Metall. Res. Technol. 112, 203 (2015) © EDP Sciences, 2015, DOI: 10.1051/metal/2015006, www.metallurgical-research.org

14-15   Tiziana Heiss, Ulrich E. Klotz and Dario Tiberto, Platinum Investment Casting, Part I: Simulation and Experimental Study of the Casting Process, Johnson Matthey Technol. Rev., 2015, 59, (2), 95, doi:10.1595/205651315×687399

138-14 Christopher Thoma, Wolfram Volk, Ruben Heid, Klaus Dilger, Gregor Banner and Harald Eibisch, Simulation-based prediction of the fracture elongation as a failure criterion for thin-walled high-pressure die casting components, International Journal of Metalcasting, Vol. 8, No. 4, pp. 47-54, 2014. doi:10.1007/BF03355594

107-14  Mehran Seyed Ahmadi, Dissolution of Si in Molten Al with Gas Injection, ProQuest Dissertations And Theses; Thesis (Ph.D.), University of Toronto (Canada), 2014; Publication Number: AAT 3637106; ISBN: 9781321195231; Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.; 191 p.

99-14   R. Bhola and S. Chandra, Predicting Castability for Thin-Walled HPDC Parts, Foundry Management Technology, December 2014

92-14   Warren Bishenden and Changhua Huang, Venting design and process optimization of die casting process for structural components; Part II: Venting design and process optimization, Die Casting Engineer, November 2014

90-14   Ken’ichi Kanazawa, Ken’ichi Yano, Jun’ichi Ogura, and Yasunori Nemoto, Optimum Runner Design for Die-Casting using CFD Simulations and Verification with Water-Model Experiments, Proceedings of the ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE2014, November 14-20, 2014, Montreal, Quebec, Canada, IMECE2014-37419

89-14   P. Kapranos, C. Carney, A. Pola, and M. Jolly, Advanced Casting Methodologies: Investment Casting, Centrifugal Casting, Squeeze Casting, Metal Spinning, and Batch Casting, In Comprehensive Materials Processing; McGeough, J., Ed.; 2014, Elsevier Ltd., 2014; Vol. 5, pp 39–67.

77-14   Andrei Y. Korotchenko, Development of Scientific and Technological Approaches to Casting Net-Shaped Castings in Sand Molds Free of Shrinkage Defects and Hot Tears, Post-doctoral thesis: Russian State Technological University, 2014. In Russian.

69-14   L. Xue, M.C. Carter, A.V. Catalina, Z. Lin, C. Li, and C. Qiu, Predicting, Preventing Core Gas Defects in Steel Castings, Modern Casting, September 2014

68-14   L. Xue, M.C. Carter, A.V. Catalina, Z. Lin, C. Li, and C. Qiu, Numerical Simulation of Core Gas Defects in Steel Castings, Copyright 2014 American Foundry Society, 118th Metalcasting Congress, April 8 – 11, 2014, Schaumburg, IL

51-14   Jesus M. Blanco, Primitivo Carranza, Rafael Pintos, Pedro Arriaga, and Lakhdar Remaki, Identification of Defects Originated during the Filling of Cast Pieces through Particles Modelling, 11th World Congress on Computational Mechanics (WCCM XI), 5th European Conference on Computational Mechanics (ECCM V), 6th European Conference on Computational Fluid Dynamics (ECFD VI), E. Oñate, J. Oliver and A. Huerta (Eds)

47-14   B. Vijaya Ramnatha, C.Elanchezhiana, Vishal Chandrasekhar, A. Arun Kumarb, S. Mohamed Asif, G. Riyaz Mohamed, D. Vinodh Raj , C .Suresh Kumar, Analysis and Optimization of Gating System for Commutator End Bracket, Procedia Materials Science 6 ( 2014 ) 1312 – 1328, 3rd International Conference on Materials Processing and Characterisation (ICMPC 2014)

42-14  Bing Zhou, Yong-lin Kang, Guo-ming Zhu, Jun-zhen Gao, Ming-fan Qi, and Huan-huan Zhang, Forced convection rheoforming process for preparation of 7075 aluminum alloy semisolid slurry and its numerical simulation, Trans. Nonferrous Met. Soc. China 24(2014) 1109−1116

37-14    A. Karwinski, W. Lesniewski, P. Wieliczko, and M. Malysza, Casting of Titanium Alloys in Centrifugal Induction Furnaces, Archives of Metallurgy and Materials, Volume 59, Issue 1, DOI: 10.2478/amm-2014-0068, 2014.

26-14    Bing Zhou, Yonglin Kang, Mingfan Qi, Huanhuan Zhang and Guoming Zhu, R-HPDC Process with Forced Convection Mixing Device for Automotive Part of A380 Aluminum Alloy, Materials 2014, 7, 3084-3105; doi:10.3390/ma7043084

20-14  Johannes Hartmann, Tobias Fiegl, Carolin Körner, Aluminum integral foams with tailored density profile by adapted blowing agents, Applied Physics A, 10.1007/s00339-014-8377-4, March 2014.

19-14    A.Y. Korotchenko, N.A. Nikiforova, E.D. Demjanov, N.C. Larichev, The Influence of the Filling Conditions on the Service Properties of the Part Side Frame, Russian Foundryman, 1 (January), pp 40-43, 2014. In Russian.

11-14 B. Fuchs and C. Körner, Mesh resolution consideration for the viability prediction of lost salt cores in the high pressure die casting process, Progress in Computational Fluid Dynamics, Vol. 14, No. 1, 2014, Copyright © 2014 Inderscience Enterprises Ltd.

08-14 FY Hsu, SW Wang, and HJ Lin, The External and Internal Shrinkages in Aluminum Gravity Castings, Shape Casting: 5th International Symposium 2014. Available online at Google Books

103-13  B. Fuchs, H. Eibisch and C. Körner, Core Viability Simulation for Salt Core Technology in High-Pressure Die Casting, International Journal of Metalcasting, July 2013, Volume 7, Issue 3, pp 39–45

94-13    Randall S. Fielding, J. Crapps, C. Unal, and J.R.Kennedy, Metallic Fuel Casting Development and Parameter Optimization Simulations, International Conference on Fast reators and Related Fuel Cycles (FR13), 4-7 March 2013, Paris France

90-13  A. Karwińskia, M. Małyszaa, A. Tchórza, A. Gila, B. Lipowska, Integration of Computer Tomography and Simulation Analysis in Evaluation of Quality of Ceramic-Carbon Bonded Foam Filter, Archives of Foundry Engineering, DOI: 10.2478/afe-2013-0084, Published quarterly as the organ of the Foundry Commission of the Polish Academy of Sciences, ISSN, (2299-2944), Volume 13, Issue 4/2013

88-13  Litie and Metallurgia (Casting and Metallurgy), 3 (72), 2013, N.V.Sletova, I.N.Volnov, S.P.Zadrutsky, V.A.Chaikin, Modeling of the Process of Removing Non-metallic Inclusions in Aluminum Alloys Using the FLOW-3D program, pp 138-140. In Russian.

85-13    Michał Szucki,Tomasz Goraj, Janusz Lelito, Józef S. Suchy, Numerical Analysis of Solid Particles Flow in Liquid Metal, XXXVII International Scientific Conference Foundryman’ Day 2013, Krakow, 28-29 November 2013

84-13  Körner, C., Schwankl, M., Himmler, D., Aluminum-Aluminum compound castings by electroless deposited zinc layers, Journal of Materials Processing Technology (2014), http://dx.doi.org/10.1016/j.jmatprotec.2013.12.01483-13.

77-13  Antonio Armillotta & Raffaello Baraggi & Simone Fasoli, SLM tooling for die casting with conformal cooling channels, The International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-013-5523-7, December 2013.

64-13   Johannes Hartmann, Christina Blümel, Stefan Ernst, Tobias Fiegl, Karl-Ernst Wirth, Carolin Körner, Aluminum integral foam castings with microcellular cores by nano-functionalization, J Mater Sci, DOI: 10.1007/s10853-013-7668-z, September 2013.

46-13  Nicholas P. Orenstein, 3D Flow and Temperature Analysis of Filling a Plutonium Mold, LA-UR-13-25537, Approved for public release; distribution is unlimited. Los Alamos Annual Student Symposium 2013, 2013-07-24 (Rev.1)

42-13   Yang Yue, William D. Griffiths, and Nick R. Green, Modelling of the Effects of Entrainment Defects on Mechanical Properties in a Cast Al-Si-Mg Alloy, Materials Science Forum, 765, 225, 2013.

39-13  J. Crapps, D.S. DeCroix, J.D Galloway, D.A. Korzekwa, R. Aikin, R. Fielding, R. Kennedy, C. Unal, Separate effects identification via casting process modeling for experimental measurement of U-Pu-Zr alloys, Journal of Nuclear Materials, 15 July 2013.

35-13   A. Pari, Real Life Problem Solving through Simulations in the Die Casting Industry – Case Studies, © Die Casting Engineer, July 2013.

34-13  Martin Lagler, Use of Simulation to Predict the Viability of Salt Cores in the HPDC Process – Shot Curve as a Decisive Criterion, © Die Casting Engineer, July 2013.

24-13    I.N.Volnov, Optimizatsia Liteynoi Tekhnologii, (Casting Technology Optimization), Liteyshik Rossii (Russian Foundryman), 3, 2013, 27-29. In Russian

23-13  M.R. Barkhudarov, I.N. Volnov, Minimizatsia Zakhvata Vozdukha v Kamere Pressovania pri Litie pod Davleniem, (Minimization of Air Entrainment in the Shot Sleeve During High Pressure Die Casting), Liteyshik Rossii (Russian Foundryman), 3, 2013, 30-34. In Russian

09-13  M.C. Carter and L. Xue, Simulating the Parameters that Affect Core Gas Defects in Metal Castings, Copyright 2012 American Foundry Society, Presented at the 2013 CastExpo, St. Louis, Missouri, April 2013

08-13  C. Reilly, N.R. Green, M.R. Jolly, J.-C. Gebelin, The Modelling Of Oxide Film Entrainment In Casting Systems Using Computational Modelling, Applied Mathematical Modelling, http://dx.doi.org/10.1016/j.apm.2013.03.061, April 2013.

03-13  Alexandre Reikher and Krishna M. Pillai, A fast simulation of transient metal flow and solidification in a narrow channel. Part II. Model validation and parametric study, Int. J. Heat Mass Transfer (2013), http://dx.doi.org/10.1016/j.ijheatmasstransfer.2012.12.061.

02-13  Alexandre Reikher and Krishna M. Pillai, A fast simulation of transient metal flow and solidification in a narrow channel. Part I: Model development using lubrication approximation, Int. J. Heat Mass Transfer (2013), http://dx.doi.org/10.1016/j.ijheatmasstransfer.2012.12.060.

116-12  Jufu Jianga, Ying Wang, Gang Chena, Jun Liua, Yuanfa Li and Shoujing Luo, “Comparison of mechanical properties and microstructure of AZ91D alloy motorcycle wheels formed by die casting and double control forming, Materials & Design, Volume 40, September 2012, Pages 541-549.

107-12  F.K. Arslan, A.H. Hatman, S.Ö. Ertürk, E. Güner, B. Güner, An Evaluation for Fundamentals of Die Casting Materials Selection and Design, IMMC’16 International Metallurgy & Materials Congress, Istanbul, Turkey, 2012.

103-12 WU Shu-sen, ZHONG Gu, AN Ping, WAN Li, H. NAKAE, Microstructural characteristics of Al−20Si−2Cu−0.4Mg−1Ni alloy formed by rheo-squeeze casting after ultrasonic vibration treatment, Transactions of Nonferrous Metals Society of China, 22 (2012) 2863-2870, November 2012. Full paper available online.

109-12 Alexandre Reikher, Numerical Analysis of Die-Casting Process in Thin Cavities Using Lubrication Approximation, Ph.D. Thesis: The University of Wisconsin Milwaukee, Engineering Department (2012) Theses and Dissertations. Paper 65.

97-12 Hong Zhou and Li Heng Luo, Filling Pattern of Step Gating System in Lost Foam Casting Process and its Application, Advanced Materials Research, Volumes 602-604, Progress in Materials and Processes, 1916-1921, December 2012.

93-12  Liangchi Zhang, Chunliang Zhang, Jeng-Haur Horng and Zichen Chen, Functions of Step Gating System in the Lost Foam Casting Process, Advanced Materials Research, 591-593, 940, DOI: 10.4028/www.scientific.net/AMR.591-593.940, November 2012.

91-12  Hong Yan, Jian Bin Zhu, Ping Shan, Numerical Simulation on Rheo-Diecasting of Magnesium Matrix Composites, 10.4028/www.scientific.net/SSP.192-193.287, Solid State Phenomena, 192-193, 287.

89-12  Alexandre Reikher and Krishna M. Pillai, A Fast Numerical Simulation for Modeling Simultaneous Metal Flow and Solidification in Thin Cavities Using the Lubrication Approximation, Numerical Heat Transfer, Part A: Applications: An International Journal of Computation and Methodology, 63:2, 75-100, November 2012.

82-12  Jufu Jiang, Gang Chen, Ying Wang, Zhiming Du, Weiwei Shan, and Yuanfa Li, Microstructure and mechanical properties of thin-wall and high-rib parts of AM60B Mg alloy formed by double control forming and die casting under the optimal conditions, Journal of Alloys and Compounds, http://dx.doi.org/10.1016/j.jallcom.2012.10.086, October 2012.

78-12   A. Pari, Real Life Problem Solving through Simulations in the Die Casting Industry – Case Studies, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

77-12  Y. Wang, K. Kabiri-Bamoradian and R.A. Miller, Rheological behavior models of metal matrix alloys in semi-solid casting process, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

76-12  A. Reikher and H. Gerber, Analysis of Solidification Parameters During the Die Cast Process, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

75-12 R.A. Miller, Y. Wang and K. Kabiri-Bamoradian, Estimating Cavity Fill Time, 2012 Die Casting Congress & Exposition, © NADCA, October 8-10, 2012, Indianapolis, IN.

65-12  X.H. Yang, T.J. Lu, T. Kim, Influence of non-conducting pore inclusions on phase change behavior of porous media with constant heat flux boundary, International Journal of Thermal Sciences, Available online 10 October 2012. Available online at SciVerse.

55-12  Hejun Li, Pengyun Wang, Lehua Qi, Hansong Zuo, Songyi Zhong, Xianghui Hou, 3D numerical simulation of successive deposition of uniform molten Al droplets on a moving substrate and experimental validation, Computational Materials Science, Volume 65, December 2012, Pages 291–301.

52-12 Hongbing Ji, Yixin Chen and Shengzhou Chen, Numerical Simulation of Inner-Outer Couple Cooling Slab Continuous Casting in the Filling Process, Advanced Materials Research (Volumes 557-559), Advanced Materials and Processes II, pp. 2257-2260, July 2012.

47-12    Petri Väyrynen, Lauri Holappa, and Seppo Louhenkilpi, Simulation of Melting of Alloying Materials in Steel Ladle, SCANMET IV – 4th International Conference on Process Development in Iron and Steelmaking, Lulea, Sweden, June 10-13, 2012.

46-12  Bin Zhang and Dave Salee, Metal Flow and Heat Transfer in Billet DC Casting Using Wagstaff® Optifill™ Metal Distribution Systems, 5th International Metal Quality Workshop, United Arab Emirates Dubai, March 18-22, 2012.

45-12 D.R. Gunasegaram, M. Givord, R.G. O’Donnell and B.R. Finnin, Improvements engineered in UTS and elongation of aluminum alloy high pressure die castings through the alteration of runner geometry and plunger velocity, Materials Science & Engineering.

44-12    Antoni Drys and Stefano Mascetti, Aluminum Casting Simulations, Desktop Engineering, September 2012

42-12   Huizhen Duan, Jiangnan Shen and Yanping Li, Comparative analysis of HPDC process of an auto part with ProCAST and FLOW-3D, Applied Mechanics and Materials Vols. 184-185 (2012) pp 90-94, Online available since 2012/Jun/14 at www.scientific.net, © (2012) Trans Tech Publications, Switzerland, doi:10.4028/www.scientific.net/AMM.184-185.90.

41-12    Deniece R. Korzekwa, Cameron M. Knapp, David A. Korzekwa, and John W. Gibbs, Co-Design – Fabrication of Unalloyed Plutonium, LA-UR-12-23441, MDI Summer Research Group Workshop Advanced Manufacturing, 2012-07-25/2012-07-26 (Los Alamos, New Mexico, United States)

29-12  Dario Tiberto and Ulrich E. Klotz, Computer simulation applied to jewellery casting: challenges, results and future possibilities, IOP Conf. Ser.: Mater. Sci. Eng.33 012008. Full paper available at IOP.

28-12  Y Yue and N R Green, Modelling of different entrainment mechanisms and their influences on the mechanical reliability of Al-Si castings, 2012 IOP Conf. Ser.: Mater. Sci. Eng. 33,012072.Full paper available at IOP.

27-12  E Kaschnitz, Numerical simulation of centrifugal casting of pipes, 2012 IOP Conf. Ser.: Mater. Sci. Eng. 33 012031, Issue 1. Full paper available at IOP.

15-12  C. Reilly, N.R Green, M.R. Jolly, The Present State Of Modeling Entrainment Defects In The Shape Casting Process, Applied Mathematical Modelling, Available online 27 April 2012, ISSN 0307-904X, 10.1016/j.apm.2012.04.032.

12-12   Andrei Starobin, Tony Hirt, Hubert Lang, and Matthias Todte, Core drying simulation and validation, International Foundry Research, GIESSEREIFORSCHUNG 64 (2012) No. 1, ISSN 0046-5933, pp 2-5

10-12  H. Vladimir Martínez and Marco F. Valencia (2012). Semisolid Processing of Al/β-SiC Composites by Mechanical Stirring Casting and High Pressure Die Casting, Recent Researches in Metallurgical Engineering – From Extraction to Forming, Dr Mohammad Nusheh (Ed.), ISBN: 978-953-51-0356-1, InTech

07-12     Amir H. G. Isfahani and James M. Brethour, Simulating Thermal Stresses and Cooling Deformations, Die Casting Engineer, March 2012

06-12   Shuisheng Xie, Youfeng He and Xujun Mi, Study on Semi-solid Magnesium Alloys Slurry Preparation and Continuous Roll-casting Process, Magnesium Alloys – Design, Processing and Properties, ISBN: 978-953-307-520-4, InTech.

04-12 J. Spangenberg, N. Roussel, J.H. Hattel, H. Stang, J. Skocek, M.R. Geiker, Flow induced particle migration in fresh concrete: Theoretical frame, numerical simulations and experimental results on model fluids, Cement and Concrete Research, http://dx.doi.org/10.1016/j.cemconres.2012.01.007, February 2012.

01-12   Lee, B., Baek, U., and Han, J., Optimization of Gating System Design for Die Casting of Thin Magnesium Alloy-Based Multi-Cavity LCD Housings, Journal of Materials Engineering and Performance, Springer New York, Issn: 1059-9495, 10.1007/s11665-011-0111-1, Volume 1 / 1992 – Volume 21 / 2012. Available online at Springer Link.

104-11  Fu-Yuan Hsu and Huey Jiuan Lin, Foam Filters Used in Gravity Casting, Metall and Materi Trans B (2011) 42: 1110. doi:10.1007/s11663-011-9548-8.

99-11    Eduardo Trejo, Centrifugal Casting of an Aluminium Alloy, thesis: Doctor of Philosophy, Metallurgy and Materials School of Engineering University of Birmingham, October 2011. Full paper available upon request.

93-11  Olga Kononova, Andrejs Krasnikovs ,Videvuds Lapsa,Jurijs Kalinka and Angelina Galushchak, Internal Structure Formation in High Strength Fiber Concrete during Casting, World Academy of Science, Engineering and Technology 59 2011

76-11  J. Hartmann, A. Trepper, and C. Körner, Aluminum Integral Foams with Near-Microcellular Structure, Advanced Engineering Materials 2011, Volume 13 (2011) No. 11, © Wiley-VCH

71-11  Fu-Yuan Hsu and Yao-Ming Yang Confluence Weld in an Aluminum Gravity Casting, Journal of Materials Processing Technology, Available online 23 November 2011, ISSN 0924-0136, 10.1016/j.jmatprotec.2011.11.006.

65-11     V.A. Chaikin, A.V. Chaikin, I.N.Volnov, A Study of the Process of Late Modification Using Simulation, in Zagotovitelnye Proizvodstva v Mashinostroenii, 10, 2011, 8-12. In Russian.

54-11  Ngadia Taha Niane and Jean-Pierre Michalet, Validation of Foundry Process for Aluminum Parts with FLOW-3D Software, Proceedings of the 2011 International Symposium on Liquid Metal Processing and Casting, 2011.

51-11    A. Reikher and H. Gerber, Calculation of the Die Cast parameters of the Thin Wall Aluminum Cast Part, 2011 Die Casting Congress & Tabletop, Columbus, OH, September 19-21, 2011

50-11   Y. Wang, K. Kabiri-Bamoradian, and R.A. Miller, Runner design optimization based on CFD simulation for a die with multiple cavities, 2011 Die Casting Congress & Tabletop, Columbus, OH, September 19-21, 2011

48-11 A. Karwiński, W. Leśniewski, S. Pysz, P. Wieliczko, The technology of precision casting of titanium alloys by centrifugal process, Archives of Foundry Engineering, ISSN: 1897-3310), Volume 11, Issue 3/2011, 73-80, 2011.

46-11  Daniel Einsiedler, Entwicklung einer Simulationsmethodik zur Simulation von Strömungs- und Trocknungsvorgängen bei Kernfertigungsprozessen mittels CFD (Development of a simulation methodology for simulating flow and drying operations in core production processes using CFD), MSc thesis at Technical University of Aalen in Germany (Hochschule Aalen), 2011.

44-11  Bin Zhang and Craig Shaber, Aluminum Ingot Thermal Stress Development Modeling of the Wagstaff® EpsilonTM Rolling Ingot DC Casting System during the Start-up Phase, Materials Science Forum Vol. 693 (2011) pp 196-207, © 2011 Trans Tech Publications, July, 2011.

43-11 Vu Nguyen, Patrick Rohan, John Grandfield, Alex Levin, Kevin Naidoo, Kurt Oswald, Guillaume Girard, Ben Harker, and Joe Rea, Implementation of CASTfill low-dross pouring system for ingot casting, Materials Science Forum Vol. 693 (2011) pp 227-234, © 2011 Trans Tech Publications, July, 2011.

40-11  A. Starobin, D. Goettsch, M. Walker, D. Burch, Gas Pressure in Aluminum Block Water Jacket Cores, © 2011 American Foundry Society, International Journal of Metalcasting/Summer 2011

37-11 Ferencz Peti, Lucian Grama, Analyze of the Possible Causes of Porosity Type Defects in Aluminum High Pressure Diecast Parts, Scientific Bulletin of the Petru Maior University of Targu Mures, Vol. 8 (XXV) no. 1, 2011, ISSN 1841-9267

31-11  Johannes Hartmann, André Trepper, Carolin Körner, Aluminum Integral Foams with Near-Microcellular Structure, Advanced Engineering Materials, 13: n/a. doi: 10.1002/adem.201100035, June 2011.

27-11  A. Pari, Optimization of HPDC Process using Flow Simulation Case Studies, Die Casting Engineer, July 2011

26-11    A. Reikher, H. Gerber, Calculation of the Die Cast Parameters of the Thin Wall Aluminum Die Casting Part, Die Casting Engineer, July 2011

21-11 Thang Nguyen, Vu Nguyen, Morris Murray, Gary Savage, John Carrig, Modelling Die Filling in Ultra-Thin Aluminium Castings, Materials Science Forum (Volume 690), Light Metals Technology V, pp 107-111, 10.4028/www.scientific.net/MSF.690.107, June 2011.

19-11 Jon Spangenberg, Cem Celal Tutum, Jesper Henri Hattel, Nicolas Roussel, Metter Rica Geiker, Optimization of Casting Process Parameters for Homogeneous Aggregate Distribution in Self-Compacting Concrete: A Feasibility Study, © IEEE Congress on Evolutionary Computation, 2011, New Orleans, USA

16-11  A. Starobin, C.W. Hirt, H. Lang, and M. Todte, Core Drying Simulation and Validations, AFS Proceedings 2011, © American Foundry Society, Presented at the 115th Metalcasting Congress, Schaumburg, Illinois, April 2011.

15-11  J. J. Hernández-Ortega, R. Zamora, J. López, and F. Faura, Numerical Analysis of Air Pressure Effects on the Flow Pattern during the Filling of a Vertical Die Cavity, AIP Conf. Proc., Volume 1353, pp. 1238-1243, The 14th International Esaform Conference on Material Forming: Esaform 2011; doi:10.1063/1.3589686, May 2011. Available online.

10-11 Abbas A. Khalaf and Sumanth Shankar, Favorable Environment for Nondentric Morphology in Controlled Diffusion Solidification, DOI: 10.1007/s11661-011-0641-z, © The Minerals, Metals & Materials Society and ASM International 2011, Metallurgical and Materials Transactions A, March 11, 2011.

08-11 Hai Peng Li, Chun Yong Liang, Li Hui Wang, Hong Shui Wang, Numerical Simulation of Casting Process for Gray Iron Butterfly Valve, Advanced Materials Research, 189-193, 260, February 2011.

04-11  C.W. Hirt, Predicting Core Shooting, Drying and Defect Development, Foundry Management & Technology, January 2011.

76-10  Zhizhong Sun, Henry Hu, Alfred Yu, Numerical Simulation and Experimental Study of Squeeze Casting Magnesium Alloy AM50, Magnesium Technology 2010, 2010 TMS Annual Meeting & Exhibition, February 14-18, 2010, Seattle, WA.

68-10  A. Reikher, H. Gerber, K.M. Pillai, T.-C. Jen, Natural Convection—An Overlooked Phenomenon of the Solidification Process, Die Casting Engineer, January 2010

54-10    Andrea Bernardoni, Andrea Borsi, Stefano Mascetti, Alessandro Incognito and Matteo Corrado, Fonderia Leonardo aveva ragione! L’enorme cavallo dedicato a Francesco Sforza era materialmente realizzabile, A&C – Analisis e Calcolo, Giugno 2010. In  Italian.

48-10  J. J. Hernández-Ortega, R. Zamora, J. Palacios, J. López and F. Faura, An Experimental and Numerical Study of Flow Patterns and Air Entrapment Phenomena During the Filling of a Vertical Die Cavity, J. Manuf. Sci. Eng., October 2010, Volume 132, Issue 5, 05101, doi:10.1115/1.4002535.

47-10  A.V. Chaikin, I.N. Volnov, and V.A. Chaikin, Development of Dispersible Mixed Inoculant Compositions Using the FLOW-3D Program, Liteinoe Proizvodstvo, October, 2010, in Russian.

42-10  H. Lakshmi, M.C. Vinay Kumar, Raghunath, P. Kumar, V. Ramanarayanan, K.S.S. Murthy, P. Dutta, Induction reheating of A356.2 aluminum alloy and thixocasting as automobile component, Transactions of Nonferrous Metals Society of China 20(20101) s961-s967.

41-10  Pamela J. Waterman, Understanding Core-Gas Defects, Desktop Engineering, October 2010. Available online at Desktop Engineering. Also published in the Foundry Trade Journal, November 2010.

39-10  Liu Zheng, Jia Yingying, Mao Pingli, Li Yang, Wang Feng, Wang Hong, Zhou Le, Visualization of Die Casting Magnesium Alloy Steering Bracket, Special Casting & Nonferrous Alloys, ISSN: 1001-2249, CN: 42-1148/TG, 2010-04. In Chinese.

37-10  Morris Murray, Lars Feldager Hansen, and Carl Reinhardt, I Have Defects – Now What, Die Casting Engineer, September 2010

36-10  Stefano Mascetti, Using Flow Analysis Software to Optimize Piston Velocity for an HPDC Process, Die Casting Engineer, September 2010. Also available in Italian: Ottimizzare la velocita del pistone in pressofusione.  A & C, Analisi e Calcolo, Anno XII, n. 42, Gennaio 2011, ISSN 1128-3874.

32-10  Guan Hai Yan, Sheng Dun Zhao, Zheng Hui Sha, Parameters Optimization of Semisolid Diecasting Process for Air-Conditioner’s Triple Valve in HPb59-1 Alloy, Advanced Materials Research (Volumes 129 – 131), Vol. Material and Manufacturing Technology, pp. 936-941, DOI: 10.4028/www.scientific.net/AMR.129-131.936, August 2010.

29-10 Zheng Peng, Xu Jun, Zhang Zhifeng, Bai Yuelong, and Shi Likai, Numerical Simulation of Filling of Rheo-diecasting A357 Aluminum Alloy, Special Casting & Nonferrous Alloys, DOI: CNKI:SUN:TZZZ.0.2010-01-024, 2010.

27-10 For an Aerospace Diecasting, Littler Uses Simulation to Reveal Defects, and Win a New Order, Foundry Management & Technology, July 2010

23-10 Michael R. Barkhudarov, Minimizing Air Entrainment, The Canadian Die Caster, June 2010

15-10 David H. Kirkwood, Michel Suery, Plato Kapranos, Helen V. Atkinson, and Kenneth P. Young, Semi-solid Processing of Alloys, 2010, XII, 172 p. 103 illus., 19 in color., Hardcover ISBN: 978-3-642-00705-7.

09-10  Shannon Wetzel, Fullfilling Da Vinci’s Dream, Modern Casting, April 2010.

08-10 B.I. Semenov, K.M. Kushtarov, Semi-solid Manufacturing of Castings, New Industrial Technologies, Publication of Moscow State Technical University n.a. N.E. Bauman, 2009 (in Russian)

07-10 Carl Reilly, Development Of Quantitative Casting Quality Assessment Criteria Using Process Modelling, thesis: The University of Birmingham, March 2010 (Available upon request)

06-10 A. Pari, Optimization of HPDC Process using Flow Simulation – Case Studies, CastExpo ’10, NADCA, Orlando, Florida, March 2010

05-10 M.C. Carter, S. Palit, and M. Littler, Characterizing Flow Losses Occurring in Air Vents and Ejector Pins in High Pressure Die Castings, CastExpo ’10, NADCA, Orlando, Florida, March 2010

04-10 Pamela Waterman, Simulating Porosity Factors, Foundry Management Technology, March 2010, Article available at Foundry Management Technology

03-10 C. Reilly, M.R. Jolly, N.R. Green, JC Gebelin, Assessment of Casting Filling by Modeling Surface Entrainment Events Using CFD, 2010 TMS Annual Meeting & Exhibition (Jim Evans Honorary Symposium), Seattle, Washington, USA, February 14-18, 2010

02-10 P. Väyrynen, S. Wang, J. Laine and S.Louhenkilpi, Control of Fluid Flow, Heat Transfer and Inclusions in Continuous Casting – CFD and Neural Network Studies, 2010 TMS Annual Meeting & Exhibition (Jim Evans Honorary Symposium), Seattle, Washington, USA, February 14-18, 2010

60-09   Somlak Wannarumon, and Marco Actis Grande, Comparisons of Computer Fluid Dynamic Software Programs applied to Jewelry Investment Casting Process, World Academy of Science, Engineering and Technology 55 2009.

59-09   Marco Actis Grande and Somlak Wannarumon, Numerical Simulation of Investment Casting of Gold Jewelry: Experiments and Validations, World Academy of Science, Engineering and Technology, Vol:3 2009-07-24

56-09  Jozef Kasala, Ondrej Híreš, Rudolf Pernis, Start-up Phase Modeling of Semi Continuous Casting Process of Brass Billets, Metal 2009, 19.-21.5.2009

51-09  In-Ting Hong, Huan-Chien Tung, Chun-Hao Chiu and Hung-Shang Huang, Effect of Casting Parameters on Microstructure and Casting Quality of Si-Al Alloy for Vacuum Sputtering, China Steel Technical Report, No. 22, pp. 33-40, 2009.

42-09  P. Väyrynen, S. Wang, S. Louhenkilpi and L. Holappa, Modeling and Removal of Inclusions in Continuous Casting, Materials Science & Technology 2009 Conference & Exhibition, Pittsburgh, Pennsylvania, USA, October 25-29, 2009

41-09 O.Smirnov, P.Väyrynen, A.Kravchenko and S.Louhenkilpi, Modern Methods of Modeling Fluid Flow and Inclusions Motion in Tundish Bath – General View, Proceedings of Steelsim 2009 – 3rd International Conference on Simulation and Modelling of Metallurgical Processes in Steelmaking, Leoben, Austria, September 8-10, 2009

21-09 A. Pari, Case Studies – Optimization of HPDC Process Using Flow Simulation, Die Casting Engineer, July 2009

20-09 M. Sirvio, M. Wos, Casting directly from a computer model by using advanced simulation software, FLOW-3D Cast, Archives of Foundry Engineering Volume 9, Issue 1/2009, 79-82

19-09 Andrei Starobin, C.W. Hirt, D. Goettsch, A Model for Binder Gas Generation and Transport in Sand Cores and Molds, Modeling of Casting, Welding, and Solidification Processes XII, TMS (The Minerals, Metals & Minerals Society), June 2009

11-09 Michael Barkhudarov, Minimizing Air Entrainment in a Shot Sleeve during Slow-Shot Stage, Die Casting Engineer (The North American Die Casting Association ISSN 0012-253X), May 2009

10-09 A. Reikher, H. Gerber, Application of One-Dimensional Numerical Simulation to Optimize Process Parameters of a Thin-Wall Casting in High Pressure Die Casting, Die Casting Engineer (The North American Die Casting Association ISSN 0012-253X), May 2009

7-09 Andrei Starobin, Simulation of Core Gas Evolution and Flow, presented at the North American Die Casting Association – 113th Metalcasting Congress, April 7-10, 2009, Las Vegas, Nevada, USA

6-09 A.Pari, Optimization of HPDC PROCESS: Case Studies, North American Die Casting Association – 113th Metalcasting Congress, April 7-10, 2009, Las Vegas, Nevada, USA

2-09 C. Reilly, N.R. Green and M.R. Jolly, Oxide Entrainment Structures in Horizontal Running Systems, TMS 2009, San Francisco, California, February 2009

30-08 I.N.Volnov, Computer Modeling of Casting of Pipe Fittings, © 2008, Pipe Fittings, 5 (38), 2008. Russian version

28-08 A.V.Chaikin, I.N.Volnov, V.A.Chaikin, Y.A.Ukhanov, N.R.Petrov, Analysis of the Efficiency of Alloy Modifiers Using Statistics and Modeling, © 2008, Liteyshik Rossii (Russian Foundryman), October, 2008

27-08 P. Scarber, Jr., H. Littleton, Simulating Macro-Porosity in Aluminum Lost Foam Castings, American Foundry Society, © 2008, AFS Lost Foam Conference, Asheville, North Carolina, October, 2008

25-08 FMT Staff, Forecasting Core Gas Pressures with Computer Simulation, Foundry Management and Technology, October 28, 2008 © 2008 Penton Media, Inc. Online article

24-08 Core and Mold Gas Evolution, Foundry Management and Technology, January 24, 2008 (excerpted from the FM&T May 2007 issue) © 2008 Penton Media, Inc.

22-08 Mark Littler, Simulation Eliminates Die Casting Scrap, Modern Casting/September 2008

21-08 X. Chen, D. Penumadu, Permeability Measurement and Numerical Modeling for Refractory Porous Materials, AFS Transactions © 2008 American Foundry Society, CastExpo ’08, Atlanta, Georgia, May 2008

20-08 Rolf Krack, Using Solidification Simulations for Optimising Die Cooling Systems, FTJ July/August 2008

19-08 Mark Littler, Simulation Software Eliminates Die Casting Scrap, ECS Casting Innovations, July/August 2008

13-08 T. Yoshimura, K. Yano, T. Fukui, S. Yamamoto, S. Nishido, M. Watanabe and Y. Nemoto, Optimum Design of Die Casting Plunger Tip Considering Air Entrainment, Proceedings of 10th Asian Foundry Congress (AFC10), Nagoya, Japan, May 2008

08-08 Stephen Instone, Andreas Buchholz and Gerd-Ulrich Gruen, Inclusion Transport Phenomena in Casting Furnaces, Light Metals 2008, TMS (The Minerals, Metals & Materials Society), 2008

07-08 P. Scarber, Jr., H. Littleton, Simulating Macro-Porosity in Aluminum Lost Foam Casting, AFS Transactions 2008 © American Foundry Society, CastExpo ’08, Atlanta, Georgia, May 2008

06-08 A. Reikher, H. Gerber and A. Starobin, Multi-Stage Plunger Deceleration System, CastExpo ’08, NADCA, Atlanta, Georgia, May 2008

05-08 Amol Palekar, Andrei Starobin, Alexander Reikher, Die-casting end-of-fill and drop forge viscometer flow transients examined with a coupled-motion numerical model, 68th World Foundry Congress, Chennai, India, February 2008

03-08 Petri J. Väyrynen, Sami K. Vapalahti and Seppo J. Louhenkilpi, On Validation of Mathematical Fluid Flow Models for Simulation of Tundish Water Models and Industrial Examples, AISTech 2008, May 2008

53-07   A. Kermanpur, Sh. Mahmoudi and A. Hajipour, Three-dimensional Numerical Simulation of Metal Flow and Solidification in the Multi-cavity Casting Moulds of Automotive Components, International Journal of Iron & Steel Society of Iran, Article 2, Volume 4, Issue 1, Summer and Autumn 2007, pages 8-15.

36-07 Duque Mesa A. F., Herrera J., Cruz L.J., Fernández G.P. y Martínez H.V., Caracterización Defectológica de Piezas Fundida por Lost Foam Casting Mediante Simulación Numérica, 8° Congreso Iberoamericano de Ingenieria Mecanica, Cusco, Peru, 23 al 25 de Octubre de 2007 (in Spanish)

27-07 A.Y. Korotchenko, A.M. Zarubin, I.A.Korotchenko, Modeling of High Pressure Die Casting Filling, Russian Foundryman, December 2007, pp 15-19. (in Russian)

26-07 I.N. Volnov, Modeling of Casting Processes with Variable Geometry, Russian Foundryman, November 2007, pp 27-30. (in Russian)

16-07 P. Väyrynen, S. Vapalahti, S. Louhenkilpi, L. Chatburn, M. Clark, T. Wagner, Tundish Flow Model Tuning and Validation – Steady State and Transient Casting Situations, STEELSIM 2007, Graz/Seggau, Austria, September 12-14 2007

11-07 Marco Actis Grande, Computer Simulation of the Investment Casting Process – Widening of the Filling Step, Santa Fe Symposium on Jewelry Manufacturing Technology, May 2007

09-07 Alexandre Reikher and Michael Barkhudarov, Casting: An Analytical Approach, Springer, 1st edition, August 2007, Hardcover ISBN: 978-1-84628-849-4. U.S. Order Form; Europe Order Form.

07-07 I.N. Volnov, Casting Modeling Systems – Current State, Problems and Perspectives, (in Russian), Liteyshik Rossii (Russian Foundryman), June 2007

05-07 A.N. Turchin, D.G. Eskin, and L. Katgerman, Solidification under Forced-Flow Conditions in a Shallow Cavity, DOI: 10.1007/s1161-007-9183-9, © The Minerals, Metals & Materials Society and ASM International 2007

04-07 A.N. Turchin, M. Zuijderwijk, J. Pool, D.G. Eskin, and L. Katgerman, Feathery grain growth during solidification under forced flow conditions, © Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved. DOI: 10.1016/j.actamat.2007.02.030, April 2007

03-07 S. Kuyucak, Sponsored Research – Clean Steel Casting Production—Evaluation of Laboratory Castings, Transactions of the American Foundry Society, Volume 115, 111th Metalcasting Congress, May 2007

02-07 Fu-Yuan Hsu, Mark R. Jolly and John Campbell, The Design of L-Shaped Runners for Gravity Casting, Shape Casting: 2nd International Symposium, Edited by Paul N. Crepeau, Murat Tiryakioðlu and John Campbell, TMS (The Minerals, Metals & Materials Society), Orlando, FL, Feb 2007

30-06 X.J. Liu, S.H. Bhavnani, R.A. Overfelt, Simulation of EPS foam decomposition in the lost foam casting process, Journal of Materials Processing Technology 182 (2007) 333–342, © 2006 Elsevier B.V. All rights reserved.

25-06 Michael Barkhudarov and Gengsheng Wei, Modeling Casting on the Move, Modern Casting, August 2006; Modeling of Casting Processes with Variable Geometry, Russian Foundryman, December 2007, pp 10-15. (in Russian)

24-06 P. Scarber, Jr. and C.E. Bates, Simulation of Core Gas Production During Mold Fill, © 2006 American Foundry Society

7-06 M.Y.Smirnov, Y.V.Golenkov, Manufacturing of Cast Iron Bath Tubs Castings using Vacuum-Process in Russia, Russia’s Foundryman, July 2006. In Russian.

6-06 M. Barkhudarov, and G. Wei, Modeling of the Coupled Motion of Rigid Bodies in Liquid Metal, Modeling of Casting, Welding and Advanced Solidification Processes – XI, May 28 – June 2, 2006, Opio, France, eds. Ch.-A. Gandin and M. Bellet, pp 71-78, 2006.

2-06 J.-C. Gebelin, M.R. Jolly and F.-Y. Hsu, ‘Designing-in’ Controlled Filling Using Numerical Simulation for Gravity Sand Casting of Aluminium Alloys, Int. J. Cast Met. Res., 2006, Vol.19 No.1

1-06 Michael Barkhudarov, Using Simulation to Control Microporosity Reduces Die Iterations, Die Casting Engineer, January 2006, pp. 52-54

30-05 H. Xue, K. Kabiri-Bamoradian, R.A. Miller, Modeling Dynamic Cavity Pressure and Impact Spike in Die Casting, Cast Expo ’05, April 16-19, 2005

22-05 Blas Melissari & Stavros A. Argyropoulous, Measurement of Magnitude and Direction of Velocity in High-Temperature Liquid Metals; Part I, Mathematical Modeling, Metallurgical and Materials Transactions B, Volume 36B, October 2005, pp. 691-700

21-05 M.R. Jolly, State of the Art Review of Use of Modeling Software for Casting, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 337-346

20-05 J-C Gebelin, M.R. Jolly & F-Y Hsu, ‘Designing-in’ Controlled Filling Using Numerical Simulation for Gravity Sand Casting of Aluminium Alloys, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 355-364

19-05 F-Y Hsu, M.R. Jolly & J Campbell, Vortex Gate Design for Gravity Castings, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 73-82

18-05 M.R. Jolly, Modelling the Investment Casting Process: Problems and Successes, Japanese Foundry Society, JFS, Tokyo, Sept. 2005

13-05 Xiaogang Yang, Xiaobing Huang, Xiaojun Dai, John Campbell and Joe Tatler, Numerical Modelling of the Entrainment of Oxide Film Defects in Filling of Aluminium Alloy Castings, International Journal of Cast Metals Research, 17 (6), 2004, 321-331

10-05 Carlos Evaristo Esparza, Martha P. Guerro-Mata, Roger Z. Ríos-Mercado, Optimal Design of Gating Systems by Gradient Search Methods, Computational Materials Science, October 2005

6-05 Birgit Hummler-Schaufler, Fritz Hirning, Jurgen Schaufler, A World First for Hatz Diesel and Schaufler Tooling, Die Casting Engineer, May 2005, pp. 18-21

4-05 Rolf Krack, The W35 Topic—A World First, Die Casting World, March 2005, pp. 16-17

3-05 Joerg Frei, Casting Simulations Speed Up Development, Die Casting World, March 2005, p. 14

2-05 David Goettsch and Michael Barkhudarov, Analysis and Optimization of the Transient Stage of Stopper-Rod Pour, Shape Casting: The John Campbell Symposium, The Minerals, Metals & Materials Society, 2005

36-04  Ik Min Park, Il Dong Choi, Yong Ho Park, Development of Light-Weight Al Scroll Compressor for Car Air Conditioner, Materials Science Forum, Designing, Processing and Properties of Advanced Engineering Materials, 449-452, 149, March 2004.

32-04 D.H. Kirkwood and P.J Ward, Numerical Modelling of Semi-Solid Flow under Processing Conditions, steel research int. 75 (2004), No. 8/9

30-04 Haijing Mao, A Numerical Study of Externally Solidified Products in the Cold Chamber Die Casting Process, thesis: The Ohio State University, 2004 (Available upon request)

28-04 Z. Cao, Z. Yang, and X.L. Chen, Three-Dimensional Simulation of Transient GMA Weld Pool with Free Surface, Supplement to the Welding Journal, June 2004.

23-04 State of the Art Use of Computational Modelling in the Foundry Industry, 3rd International Conference Computational Modelling of Materials III, Sicily, Italy, June 2004, Advances in Science and Technology,  Eds P. Vincenzini & A Lami, Techna Group Srl, Italy, ISBN: 88-86538-46-4, Part B, pp 479-490

22-04 Jerry Fireman, Computer Simulation Helps Reduce Scrap, Die Casting Engineer, May 2004, pp. 46-49

21-04 Joerg Frei, Simulation—A Safe and Quick Way to Good Components, Aluminium World, Volume 3, Issue 2, pp. 42-43

20-04 J.-C. Gebelin, M.R. Jolly, A. M. Cendrowicz, J. Cirre and S. Blackburn, Simulation of Die Filling for the Wax Injection Process – Part II Numerical Simulation, Metallurgical and Materials Transactions, Volume 35B, August 2004

14-04 Sayavur I. Bakhtiyarov, Charles H. Sherwin, and Ruel A. Overfelt, Hot Distortion Studies In Phenolic Urethane Cold Box System, American Foundry Society, 108th Casting Congress, June 12-15, 2004, Rosemont, IL, USA

13-04 Sayavur I. Bakhtiyarov and Ruel A. Overfelt, First V-Process Casting of Magnesium, American Foundry Society, 108th Casting Congress, June 12-15, 2004, Rosemont, IL, USA

5-04 C. Schlumpberger & B. Hummler-Schaufler, Produktentwicklung auf hohem Niveau (Product Development on a High Level), Druckguss Praxis, January 2004, pp 39-42 (in German).

3-04 Charles Bates, Dealing with Defects, Foundry Management and Technology, February 2004, pp 23-25

1-04 Laihua Wang, Thang Nguyen, Gary Savage and Cameron Davidson, Thermal and Flow Modeling of Ladling and Injection in High Pressure Die Casting Process, International Journal of Cast Metals Research, vol. 16 No 4 2003, pp 409-417

2-03 J-C Gebelin, AM Cendrowicz, MR Jolly, Modeling of the Wax Injection Process for the Investment Casting Process – Prediction of Defects, presented at the Third International Conference on Computational Fluid Dynamics in the Minerals and Process Industries, December 10-12, 2003, Melbourne, Australia, pp. 415-420

29-03 C. W. Hirt, Modeling Shrinkage Induced Micro-porosity, Flow Science Technical Note (FSI-03-TN66)

28-03 Thixoforming at the University of Sheffield, Diecasting World, September 2003, pp 11-12

26-03 William Walkington, Gas Porosity-A Guide to Correcting the Problems, NADCA Publication: 516

22-03 G F Yao, C W Hirt, and M Barkhudarov, Development of a Numerical Approach for Simulation of Sand Blowing and Core Formation, in Modeling of Casting, Welding, and Advanced Solidification Process-X”, Ed. By Stefanescu et al pp. 633-639, 2003

21-03 E F Brush Jr, S P Midson, W G Walkington, D T Peters, J G Cowie, Porosity Control in Copper Rotor Die Castings, NADCA Indianapolis Convention Center, Indianapolis, IN September 15-18, 2003, T03-046

12-03 J-C Gebelin & M.R. Jolly, Modeling Filters in Light Alloy Casting Processes,  Trans AFS, 2002, 110, pp. 109-120

11-03 M.R. Jolly, Casting Simulation – How Well Do Reality and Virtual Casting Match – A State of the Art Review, Intl. J. Cast Metals Research, 2002, 14, pp. 303-313

10-03 Gebelin., J-C and Jolly, M.R., Modeling of the Investment Casting Process, Journal of  Materials Processing Tech., Vol. 135/2-3, pp. 291 – 300

9-03 Cox, M, Harding, R.A. and Campbell, J., Optimised Running System Design for Bottom Filled Aluminium Alloy 2L99 Investment Castings, J. Mat. Sci. Tech., May 2003, Vol. 19, pp. 613-625

8-03 Von Alexander Schrey and Regina Reek, Numerische Simulation der Kernherstellung, (Numerical Simulation of Core Blowing), Giesserei, June 2003, pp. 64-68 (in German)

7-03 J. Zuidema Jr., L Katgerman, Cyclone separation of particles in aluminum DC Casting, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 607-614

6-03 Jean-Christophe Gebelin and Mark Jolly, Numerical Modeling of Metal Flow Through Filters, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 431-438

5-03 N.W. Lai, W.D. Griffiths and J. Campbell, Modelling of the Potential for Oxide Film Entrainment in Light Metal Alloy Castings, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 415-422

21-02 Boris Lukezic, Case History: Process Modeling Solves Die Design Problems, Modern Casting, February 2003, P 59

20-02 C.W. Hirt and M.R. Barkhudarov, Predicting Defects in Lost Foam Castings, Modern Casting, December 2002, pp 31-33

19-02 Mark Jolly, Mike Cox, Ric Harding, Bill Griffiths and John Campbell, Quiescent Filling Applied to Investment Castings, Modern Casting, December 2002 pp. 36-38

18-02 Simulation Helps Overcome Challenges of Thin Wall Magnesium Diecasting, Foundry Management and Technology, October 2002, pp 13-15

17-02 G Messmer, Simulation of a Thixoforging Process of Aluminum Alloys with FLOW-3D, Institute for Metal Forming Technology, University of Stuttgart

16-02 Barkhudarov, Michael, Computer Simulation of Lost Foam Process, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 319-324

15-02 Barkhudarov, Michael, Computer Simulation of Inclusion Tracking, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 341-346

14-02 Barkhudarov, Michael, Advanced Simulation of the Flow and Heat Transfer of an Alternator Housing, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 219-228

8-02 Sayavur I. Bakhtiyarov, and Ruel A. Overfelt, Experimental and Numerical Study of Bonded Sand-Air Two-Phase Flow in PUA Process, Auburn University, 2002 American Foundry Society, AFS Transactions 02-091, Kansas City, MO

7-02 A Habibollah Zadeh, and J Campbell, Metal Flow Through a Filter System, University of Birmingham, 2002 American Foundry Society, AFS Transactions 02-020, Kansas City, MO

6-02 Phil Ward, and Helen Atkinson, Final Report for EPSRC Project: Modeling of Thixotropic Flow of Metal Alloys into a Die, GR/M17334/01, March 2002, University of Sheffield

5-02 S. I. Bakhtiyarov and R. A. Overfelt, Numerical and Experimental Study of Aluminum Casting in Vacuum-sealed Step Molding, Auburn University, 2002 American Foundry Society, AFS Transactions 02-050, Kansas City, MO

4-02 J. C. Gebelin and M. R. Jolly, Modelling Filters in Light Alloy Casting Processes, University of Birmingham, 2002 American Foundry Society AFS Transactions 02-079, Kansas City, MO

3-02 Mark Jolly, Mike Cox, Jean-Christophe Gebelin, Sam Jones, and Alex Cendrowicz, Fundamentals of Investment Casting (FOCAST), Modelling the Investment Casting Process, Some preliminary results from the UK Research Programme, IRC in Materials, University of Birmingham, UK, AFS2001

49-01   Hua Bai and Brian G. Thomas, Bubble formation during horizontal gas injection into downward-flowing liquid, Metallurgical and Materials Transactions B, Vol. 32, No. 6, pp. 1143-1159, 2001. doi.org/10.1007/s11663-001-0102-y

45-01 Jan Zuidema; Laurens Katgerman; Ivo J. Opstelten;Jan M. Rabenberg, Secondary Cooling in DC Casting: Modelling and Experimental Results, TMS 2001, New Orleans, Louisianna, February 11-15, 2001

43-01 James Andrew Yurko, Fluid Flow Behavior of Semi-Solid Aluminum at High Shear Rates,Ph.D. thesis; Massachusetts Institute of Technology, June 2001. Abstract only; full thesis available at http://dspace.mit.edu/handle/1721.1/8451 (for a fee).

33-01 Juang, S.H., CAE Application on Design of Die Casting Dies, 2001 Conference on CAE Technology and Application, Hsin-Chu, Taiwan, November 2001, (article in Chinese with English-language abstract)

32-01 Juang, S.H. and C. M. Wang, Effect of Feeding Geometry on Flow Characteristics of Magnesium Die Casting by Numerical Analysis, The Preceedings of 6th FADMA Conference, Taipei, Taiwan, July 2001, Chinese language with English abstract

26-01 C. W. Hirt., Predicting Defects in Lost Foam Castings, December 13, 2001

21-01 P. Scarber Jr., Using Liquid Free Surface Areas as a Predictor of Reoxidation Tendency in Metal Alloy Castings, presented at the Steel Founders’ Society of American, Technical and Operating Conference, October 2001

20-01 P. Scarber Jr., J. Griffin, and C. E. Bates, The Effect of Gating and Pouring Practice on Reoxidation of Steel Castings, presented at the Steel Founders’ Society of American, Technical and Operating Conference, October 2001

19-01 L. Wang, T. Nguyen, M. Murray, Simulation of Flow Pattern and Temperature Profile in the Shot Sleeve of a High Pressure Die Casting Process, CSIRO Manufacturing Science and Technology, Melbourne, Victoria, Australia, Presented by North American Die Casting Association, Oct 29-Nov 1, 2001, Cincinnati, To1-014

18-01 Rajiv Shivpuri, Venkatesh Sankararaman, Kaustubh Kulkarni, An Approach at Optimizing the Ingate Design for Reducing Filling and Shrinkage Defects, The Ohio State University, Columbus, OH, Presented by North American Die Casting Association, Oct 29-Nov 1, 2001, Cincinnati, TO1-052

5-01 Michael Barkhudarov, Simulation Helps Overcome Challenges of Thin Wall Magnesium Diecasting, Diecasting World, March 2001, pp. 5-6

2-01 J. Grindling, Customized CFD Codes to Simulate Casting of Thermosets in Full 3D, Electrical Manufacturing and Coil Winding 2000 Conference, October 31-November 2, 20

20-00 Richard Schuhmann, John Carrig, Thang Nguyen, Arne Dahle, Comparison of Water Analogue Modelling and Numerical Simulation Using Real-Time X-Ray Flow Data in Gravity Die Casting, Australian Die Casting Association Die Casting 2000 Conference, September 3-6, 2000, Melbourne, Victoria, Australia

15-00 M. Sirvio, Vainola, J. Vartianinen, M. Vuorinen, J. Orkas, and S. Devenyi, Fluid Flow Analysis for Designing Gating of Aluminum Castings, Proc. NADCA Conf., Rosemont, IL, Nov 6-8, 1999

14-00 X. Yang, M. Jolly, and J. Campbell, Reduction of Surface Turbulence during Filling of Sand Castings Using a Vortex-flow Runner, Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August 2000

13-00 H. S. H. Lo and J. Campbell, The Modeling of Ceramic Foam Filters, Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August 2000

12-00 M. R. Jolly, H. S. H. Lo, M. Turan and J. Campbell, Use of Simulation Tools in the Practical Development of a Method for Manufacture of Cast Iron Camshafts,” Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August, 2000

14-99 J Koke, and M Modigell, Time-Dependent Rheological Properties of Semi-solid Metal Alloys, Institute of Chemical Engineering, Aachen University of Technology, Mechanics of Time-Dependent Materials 3: 15-30, 1999

12-99 Grun, Gerd-Ulrich, Schneider, Wolfgang, Ray, Steven, Marthinusen, Jan-Olaf, Recent Improvements in Ceramic Foam Filter Design by Coupled Heat and Fluid Flow Modeling, Proc TMS Annual Meeting, 1999, pp. 1041-1047

10-99 Bongcheol Park and Jerald R. Brevick, Computer Flow Modeling of Cavity Pre-fill Effects in High Pressure Die Casting, NADCA Proceedings, Cleveland T99-011, November, 1999

8-99 Brad Guthrie, Simulation Reduces Aluminum Die Casting Cost by Reducing Volume, Die Casting Engineer Magazine, September/October 1999, pp. 78-81

7-99 Fred L. Church, Virtual Reality Predicts Cast Metal Flow, Modern Metals, September, 1999, pp. 67F-J

19-98 Grun, Gerd-Ulrich, & Schneider, Wolfgang, Numerical Modeling of Fluid Flow Phenomena in the Launder-integrated Tool Within Casting Unit Development, Proc TMS Annual Meeting, 1998, pp. 1175-1182

18-98 X. Yang & J. Campbell, Liquid Metal Flow in a Pouring Basin, Int. J. Cast Metals Res, 1998, 10, pp. 239-253

15-98 R. Van Tol, Mould Filling of Horizontal Thin-Wall Castings, Delft University Press, The Netherlands, 1998

14-98 J. Daughtery and K. A. Williams, Thermal Modeling of Mold Material Candidates for Copper Pressure Die Casting of the Induction Motor Rotor Structure, Proc. Int’l Workshop on Permanent Mold Casting of Copper-Based Alloys, Ottawa, Ontario, Canada, Oct. 15-16, 1998

10-98 C. W. Hirt, and M.R. Barkhudarov, Lost Foam Casting Simulation with Defect Prediction, Flow Science Inc, presented at Modeling of Casting, Welding and Advanced Solidification Processes VIII Conference, June 7-12, 1998, Catamaran Hotel, San Diego, California

9-98 M. R. Barkhudarov and C. W. Hirt, Tracking Defects, Flow Science Inc, presented at the 1st International Aluminum Casting Technology Symposium, 12-14 October 1998, Rosemont, IL

5-98 J. Righi, Computer Simulation Helps Eliminate Porosity, Die Casting Management Magazine, pp. 36-38, January 1998

3-98 P. Kapranos, M. R. Barkhudarov, D. H. Kirkwood, Modeling of Structural Breakdown during Rapid Compression of Semi-Solid Alloy Slugs, Dept. Engineering Materials, The University of Sheffield, Sheffield S1 3JD, U.K. and Flow Science Inc, USA, Presented at the 5th International Conference Semi-Solid Processing of Alloys and Composites, Colorado School of Mines, Golden, CO, 23-25 June 1998

1-98 U. Jerichow, T. Altan, and P. R. Sahm, Semi Solid Metal Forming of Aluminum Alloys-The Effect of Process Variables Upon Material Flow, Cavity Fill and Mechanical Properties, The Ohio State University, Columbus, OH, published in Die Casting Engineer, p. 26, Jan/Feb 1998

8-97 Michael Barkhudarov, High Pressure Die Casting Simulation Using FLOW-3D, Die Casting Engineer, 1997

15-97 M. R. Barkhudarov, Advanced Simulation of the Flow and Heat Transfer Process in Simultaneous Engineering, Flow Science report, presented at the Casting 1997 – International ADI and Simulation Conference, Helsinki, Finland, May 28-30, 1997

14-97 M. Ranganathan and R. Shivpuri, Reducing Scrap and Increasing Die Life in Low Pressure Die Casting through Flow Simulation and Accelerated Testing, Dept. Welding and Systems Engineering, Ohio State University, Columbus, OH, presented at 19th International Die Casting Congress & Exposition, November 3-6, 1997

13-97 J. Koke, Modellierung und Simulation der Fließeigenschaften teilerstarrter Metallegierungen, Livt Information, Institut für Verfahrenstechnik, RWTH Aachen, October 1997

10-97 J. P. Greene and J. O. Wilkes, Numerical Analysis of Injection Molding of Glass Fiber Reinforced Thermoplastics – Part 2 Fiber Orientation, Body-in-White Center, General Motors Corp. and Dept. Chemical Engineering, University of Michigan, Polymer Engineering and Science, Vol. 37, No. 6, June 1997

9-97 J. P. Greene and J. O. Wilkes, Numerical Analysis of Injection Molding of Glass Fiber Reinforced Thermoplastics. Part 1 – Injection Pressures and Flow, Manufacturing Center, General Motors Corp. and Dept. Chemical Engineering, University of Michigan, Polymer Engineering and Science, Vol. 37, No. 3, March 1997

8-97 H. Grazzini and D. Nesa, Thermophysical Properties, Casting Simulation and Experiments for a Stainless Steel, AT Systemes (Renault) report, presented at the Solidification Processing ’97 Conference, July 7-10, 1997, Sheffield, U.K.

7-97 R. Van Tol, L. Katgerman and H. E. A. Van den Akker, Horizontal Mould Filling of a Thin Wall Aluminum Casting, Laboratory of Materials report, Delft University, presented at the Solidification Processing ’97 Conference, July 7-10, 1997, Sheffield, U.K.

6-97 M. R. Barkhudarov, Is Fluid Flow Important for Predicting Solidification, Flow Science report, presented at the Solidification Processing ’97 Conference, July 7-10, 1997, Sheffield, U.K.

22-96 Grun, Gerd-Ulrich & Schneider, Wolfgang, 3-D Modeling of the Start-up Phase of DC Casting of Sheet Ingots, Proc TMS Annual Meeting, 1996, pp. 971-981

9-96 M. R. Barkhudarov and C. W. Hirt, Thixotropic Flow Effects under Conditions of Strong Shear, Flow Science report FSI96-00-2, to be presented at the “Materials Week ’96” TMS Conference, Cincinnati, OH, 7-10 October 1996

4-96 C. W. Hirt, A Computational Model for the Lost Foam Process, Flow Science final report, February 1996 (FSI-96-57-R2)

3-96 M. R. Barkhudarov, C. L. Bronisz, C. W. Hirt, Three-Dimensional Thixotropic Flow Model, Flow Science report, FSI-96-00-1, published in the proceedings of (pp. 110- 114) and presented at the 4th International Conference on Semi-Solid Processing of Alloys and Composites, The University of Sheffield, 19-21 June 1996

1-96 M. R. Barkhudarov, J. Beech, K. Chang, and S. B. Chin, Numerical Simulation of Metal/Mould Interfacial Heat Transfer in Casting, Dept. Mech. & Process Engineering, Dept. Engineering Materials, University of Sheffield and Flow Science Inc, 9th Int. Symposium on Transport Phenomena in Thermal-Fluid Engineering, June 25-28, 1996, Singapore

11-95 Barkhudarov, M. R., Hirt, C.W., Casting Simulation Mold Filling and Solidification-Benchmark Calculations Using FLOW-3D, Modeling of Casting, Welding, and Advanced Solidification Processes VII, pp 935-946

10-95 Grun, Gerd-Ulrich, & Schneider, Wolfgang, Optimal Design of a Distribution Pan for Level Pour Casting, Proc TMS Annual Meeting, 1995, pp. 1061-1070

9-95 E. Masuda, I. Itoh, K. Haraguchi, Application of Mold Filling Simulation to Die Casting Processes, Honda Engineering Co., Ltd., Tochigi, Japan, presented at the Modelling of Casting, Welding and Advanced Solidification Processes VII, The Minerals, Metals & Materials Society, 1995

6-95 K. Venkatesan, Experimental and Numerical Investigation of the Effect of Process Parameters on the Erosive Wear of Die Casting Dies, presented for Ph.D. degree at Ohio State University, 1995

5-95 J. Righi, A. F. LaCamera, S. A. Jones, W. G. Truckner, T. N. Rouns, Integration of Experience and Simulation Based Understanding in the Die Design Process, Alcoa Technical Center, Alcoa Center, PA 15069, presented by the North American Die Casting Association, 1995

2-95 K. Venkatesan and R. Shivpuri, Numerical Simulation and Comparison with Water Modeling Studies of the Inertia Dominated Cavity Filling in Die Casting, NUMIFORM, 1995

1-95 K. Venkatesan and R. Shivpuri, Numerical Investigation of the Effect of Gate Velocity and Gate Size on the Quality of Die Casting Parts, NAMRC, 1995.

15-94 D. Liang, Y. Bayraktar, S. A. Moir, M. Barkhudarov, and H. Jones, Primary Silicon Segregation During Isothermal Holding of Hypereutectic AI-18.3%Si Alloy in the Freezing Range, Dept. of Engr. Materials, U. of Sheffield, Metals and Materials, February 1994

13-94 Deniece Korzekwa and Paul Dunn, A Combined Experimental and Modeling Approach to Uranium Casting, Materials Division, Los Alamos National Laboratory, presented at the Symposium on Liquid Metal Processing and Casting, El Dorado Hotel, Santa Fe, New Mexico, 1994

12-94 R. van Tol, H. E. A. van den Akker and L. Katgerman, CFD Study of the Mould Filling of a Horizontal Thin Wall Aluminum Casting, Delft University of Technology, Delft, The Netherlands, HTD-Vol. 284/AMD-Vol. 182, Transport Phenomena in Solidification, ASME 1994

11-94 M. R. Barkhudarov and K. A. Williams, Simulation of ‘Surface Turbulence’ Fluid Phenomena During the Mold Filling Phase of Gravity Castings, Flow Science Technical Note #41, November 1994 (FSI-94-TN41)

10-94 M. R. Barkhudarov and S. B. Chin, Stability of a Numerical Algorithm for Gas Bubble Modelling, University of Sheffield, Sheffield, U.K., International Journal for Numerical Methods in Fluids, Vol. 19, 415-437 (1994)

16-93 K. Venkatesan and R. Shivpuri, Numerical Simulation of Die Cavity Filling in Die Castings and an Evaluation of Process Parameters on Die Wear, Dept. of Industrial Systems Engineering, Presented by: N.A. Die Casting Association, Cleveland, Ohio, October 18-21, 1993

15-93 K. Venkatesen and R. Shivpuri, Numerical Modeling of Filling and Solidification for Improved Quality of Die Casting: A Literature Survey (Chapters II and III), Engineering Research Center for Net Shape Manufacturing, Report C-93-07, August 1993, Ohio State University

1-93 P-E Persson, Computer Simulation of the Solidification of a Hub Carrier for the Volvo 800 Series, AB Volvo Technological Development, Metals Laboratory, Technical Report No. LM 500014E, Jan. 1993

13-92 D. R. Korzekwa, M. A. K. Lewis, Experimentation and Simulation of Gravity Fed Lead Castings, in proceedings of a TMS Symposium on Concurrent Engineering Approach to Materials Processing, S. N. Dwivedi, A. J. Paul and F. R. Dax, eds., TMS-AIME Warrendale, p. 155 (1992)

12-92 M. A. K. Lewis, Near-Net-Shaiconpe Casting Simulation and Experimentation, MST 1992 Review, Los Alamos National Laboratory

2-92 M. R. Barkhudarov, H. You, J. Beech, S. B. Chin, D. H. Kirkwood, Validation and Development of FLOW-3D for Casting, School of Materials, University of Sheffield, Sheffield, UK, presented at the TMS/AIME Annual Meeting, San Diego, CA, March 3, 1992

1-92 D. R. Korzekwa and L. A. Jacobson, Los Alamos National Laboratory and C.W. Hirt, Flow Science Inc, Modeling Planar Flow Casting with FLOW-3D, presented at the TMS/AIME Annual Meeting, San Diego, CA, March 3, 1992

12-91 R. Shivpuri, M. Kuthirakulathu, and M. Mittal, Nonisothermal 3-D Finite Difference Simulation of Cavity Filling during the Die Casting Process, Dept. Industrial and Systems Engineering, Ohio State University, presented at the 1991 Winter Annual ASME Meeting, Atlanta, GA, Dec. 1-6, 1991

3-91 C. W. Hirt, A FLOW-3D Study of the Importance of Fluid Momentum in Mold Filling, presented at the 18th Annual Automotive Materials Symposium, Michigan State University, Lansing, MI, May 1-2, 1991 (FSI-91-00-2)

11-90 N. Saluja, O.J. Ilegbusi, and J. Szekely, On the Calculation of the Electromagnetic Force Field in the Circular Stirring of Metallic Melts, accepted in J. Appl. Physics, 1990

10-90 N. Saluja, O. J. Ilegbusi, and J. Szekely, On the Calculation of the Electromagnetic Force Field in the Circular Stirring of Metallic Molds in Continuous Castings, presented at the 6th Iron and Steel Congress of the Iron and Steel Institute of Japan, Nagoya, Japan, October 1990

9-90 N. Saluja, O. J. Ilegbusi, and J. Szekely, Fluid Flow in Phenomena in the Electromagnetic Stirring of Continuous Casting Systems, Part I. The Behavior of a Cylindrically Shaped, Laboratory Scale Installation, accepted for publication in Steel Research, 1990

8-89 C. W. Hirt, Gravity-Fed Casting, Flow Science Technical Note #20, July 1989 (FSI-89-TN20)

6-89 E. W. M. Hansen and F. Syvertsen, Numerical Simulation of Flow Behaviour in Moldfilling for Casting Analysis, SINTEF-Foundation for Scientific and Industrial Research at the Norwegian Institute of Technology, Trondheim, Norway, Report No. STS20 A89001, June 1989

1-88 C. W. Hirt and R. P. Harper, Modeling Tests for Casting Processes, Flow Science report, Jan. 1988 (FSI-88-38-01)

2-87 C. W. Hirt, Addition of a Solidification/Melting Model to FLOW-3D, Flow Science report, April 1987 (FSI-87-33-1)

Coastal & Maritime Bibliography

Coastal & Maritime Bibliography

다음은 연안 및 해양 분야의 기술 문서 모음입니다.
이 모든 논문은 FLOW-3D  결과를 포함하고 있습니다. FLOW-3D를 사용하여 연안 및 해양 시설물을 성공적으로 시뮬레이션 하는 방법에 대해 자세히 알아보십시오.

2024년 11월 20일 Update

119-24 Faris Ali Hamood Al-Towayti, Hee-Min Teh, Zhe Ma, Idris Ahmed Jae, Agusril Syamsir, Ebrahim Hamid Hussein Al-Qadami, Hydrodynamic performance assessment of emerged, alternatively submerged and submerged semicircular breakwater: An experimental and computational study, Journal of Marine Science and Engineering, 12; 1105, 2024. doi.org/10.3390/jmse12071105

117-24 Dong Zeng, Wuyang Bi, Yi Yu, Yun Yan, Weiqiu Chen, Yong Yao, Cheng Zhang, Tianyu Wu, Prediction of local scouring of offshore wind turbine foundations based on the amplification principle of local seabed shear stress, The 34th International Ocean and Polar Engineering Conference, ISOPE-I-24-125, 2024.

116-24 Chen-Shan Kung, Ya-Cing You, Pei-Yu Lee, Siu-Yu Pan, The air entrainment effect of pump blades operation under different water depths, The 34th International Ocean and Polar Engineering Conference, ISOPE-I-24-595, 2024.

114-24 Chen-Shan Kung, Siu-Yu Pan, Pei-Yu Lee, Ya-Cing You, Sediment flushing of different angle on density outflow, The 34th International Ocean and Polar Engineering Conference, ISOPE-I-24-183, 2024.

102-24 Mary Kathryn Walker, Computational fluid dynamics study of perforated monopiles, Thesis, Florida Institute of Technology, 2024.

80-24 Deniz Velioglu Sogut, Erdinc Sogut, Ali Farhadzadeh, Tian-Jian Hsu, Non-equilibrium scour evolution around an emerged structure exposed to a transient wave, Journal of Marine Science and Engineering, 12; 946, 2024. doi.org/10.3390/jmse12060946

79-24 Sujantoko, D.R. Ahidah, W. Wardhana, E.B. Djatmiko, M. Mustain, Numerical modeling of wave reflection and transmission in I-shaped floating breakwater series, IOP Conference Series: Earth and Environmental Science, 1321; 012010, 2024. doi.org/10.1088/1755-1315/1321/1/012010

75-24 Sahel Sohrabi, Mohamad Ali Lofollahi Yaghin, Alireza Mojtahedi, Mohamad Hosein Aminfar, Mehran Dadashzadeh, Experimental and numerical investigation of a hybrid floating breakwater-WEC system, Ocean Engineering, 303; 117613, 2024. doi.org/10.1016/j.oceaneng.2024.117613

73-24 Penghui Wang, Chunning Ji, Xiping Sun, Dong Xu, Chao Ying, Development and test of FDEM–FLOW-3D—A CFD–DEM model for the fluid–structure interaction of AccropodeTM blocks under wave loads, Ocean Engineering, 303; 117735, 2024. doi.org/10.1016/j.oceaneng.2024.117735

67-24 Alexander Schendel, Stefan Schimmels, Mario Welzel, Philippe April-LeQuéré, Abdolmajid Mohammadian, Clemens Krautwald, Jacob Stolle, Ioan Nistor, Nils Goseberg, Spatiotemporal scouring processes around a square column on a sloped beach induced by tsunami bores, Journal of Waterway, Port, Coastal, and Ocean Engineering, 150.3; 2024. https://doi.org/10.1061/JWPED5.WWENG-2052

65-24 Kaiqi Yu, Elda Miramontes, Matthieu J.B. Cartigny, Yuping Yang, Jingping Xu, The impacts of profile concavity on turbidite deposits: Insights from the submarine canyons on global continental margins, Geomorphology, 454; 109157, 2024. doi.org/10.1016/j.geomorph.2024.109157

61-24 M.T. Mansouri Kia, H.R. Sheibani, A. Hoback, Initial maintenance notes about the first river ship lock in Iran, Journal of Hydraulic and Water Engineering, 1.2; pp. 143-162, 2024.

47-24 Cheng Yee Ng, Nauman Riyaz Maldar, Muk Chen Ong, Numerical investigation on performance enhancement in a drag-based hydrokinetic turbine with a diffuser, Ocean Engineering, 298; 117179, 2024. doi.org/10.1016/j.oceaneng.2024.117179

26-24 Zegao Yin, Guoqing Li, Fei Wu, Zihan Ni, Feifan Li, Experimental and numerical study on hydrodynamic characteristics of a bottom-hinged pitching flap breakwater under regular waves, Ocean Engineering, 293; 116665, 2024. doi.org/10.1016/j.oceaneng.2024.116665

21-24   Young-Ki Moon, Chang-Ill Yoo, Jong-Min Lee, Sang-Hyub Lee, Han-Sam Yoon, Evaluation of pedestrian safety for wave overtopping by ship-induced waves in waterfront revetment, Journal of Coastal Research, 116; pp.314-318, 2024. doi.org/10.2112/JCR-SI116-064.1

14-24   Hongliang Wang, Xuanwen Jia, Chuan Wang, Bo Hu, Weidong Cao, Shanshan Li, Hui Wang, Study on the sand-scouring characteristics of pulsed submerged jets based on experiments and numerical models, Journal of Marine Science and Engineering, 12.1; 57, 2024. doi.org/10.3390/jmse12010057

239-23 Sara Tuozzo, Angela Di Leo, Mariano Buccino, Fabio Dentale, Eugenio Pugliese Carratelli, Mario Calabrese, The effect of wind stress on wave overtopping on vertical seawall, Coastal Engineering Proceedings, 37; 2023. doi.org/10.9753/icce.v37.papers.49

224-23   Helia Molaei Nodeh, Reza Dezvareh, Mahdi Yousefifard, Numerical analysis of the effects of rubble mound breakwater geometry under the effect of nonlinear wave force, Arabian Journal for Science and Engineering, 2023. doi.org/10.1007/s13369-023-08520-2

212-23   Feifei Cao, Mingqi Yu, Meng Han, Bing Liu, Zhiwen Wei, Juan Jiang, Huiyuan Tian, Hongda Shi, Yanni Li, WECs microarray effect on the coupled dynamic response and power performance of a floating combined wind and wave energy system, Renewable Energy, 219.2; 119476, 2023. doi.org/10.1016/j.renene.2023.119476

210-23   H. Omara, Sherif M. Elsayed, Karim Adel Nassar, Reda Diab, Ahmed Tawfik, Hydrodynamic and morphologic investigating of the discrepancy in flow performance between inclined rectangular and oblong piers, Ocean Engineering, 288.2; 116132, 2023. doi.org/10.1016/j.oceaneng.2023.116132

190-23   M.F. Ahmad, M.I. Ramli, M.A. Musa, S.E.G. Goh, C.W.M.N Che Wan Othman, E.H. Ariffin, N.A. Mokhtar, Numerical simulation for overtopping discharge on tetrapod breakwater, AIP Conference Proceedings, 2746.1; 2023. doi.org/10.1063/5.0153371

183-23   Youkou Dong, Enjin Zhao, Lan Cui, Yizhe Li, Yang Wang, Dynamic performance of suspended pipelines with permeable wrappers under solitary waves, Journal of Marine Science and Engineering, 11.10; 1872, 2023. doi.org/10.3390/jmse11101872

176-23   Guoxu Niu, Yaoyong Chen, Jiao Lu, Jing Zhang, Ning Fan, Determination of formulae for the hydrodynamic performance of a fixed box-type free surface breakwater in the intermediate water, Journal of Marine Science and Engineering, 11.9; 1812, 2023. doi.org/10.3390/jmse11091812

168-23   Yupeng Ren, Huiguang Zhou, Houjie Wang, Xiao Wu, Guohui Xu, Qingsheng Meng, Study on the critical sediment concentration determining the optimal transport capability of submarine sediment flows with different particle size composition, Marine Geology, 464; 107142, 2023. doi.org/10.1016/j.margeo.2023.107142

163-23   Ahmad Fitriadhy, Sheikh Fakruradzi, Alamsyah Kurniawan, Nita Yuanita, Anuar Abu Bakar, 3D computational fluid dynamic investigation on wave transmission behind low-crested submerged geo-bag breakwater, CFD Letters, 15.10; 2023. doi.org/10.37934/cfdl.15.10.1222

162-23   Ramtin Sabeti, Landslide-generated tsunami waves-physical and numerical modelling, International Seminar on Tsunami Research, University of Bath, 2023.

161-23   Duy Linh Du, Study on the optimal location for pile-rock breakwater in reducing wave height in Dong Hai District, Bac Lieu Province, Vietnam, Thesis, Can Tho University, 2023.

160-23   Duy Linh Du, Dai Bang Pham, Van Duy Dinh, Tan Ngoc Cao, Van Ty Tran, Gia Bao Tran, Hieu Duc Tran, Modelling the wave reduction effectiveness of pile-rock breakwater using FLOW-3D, (in Vietnamese) Journal of Materials and Construction, 13.04; 2023. doi.org/10.54772/jomc.04.2023.537

151-23 Zhiguo Zhang, Jinpeng Chen, Tong Ye, Zhengguo Zhu, Mengxi Zhang, Yutao Pan, Wave-induced response of seepage pressure around shield tunnel in sand seabed slope, International Journal of Geomechanics, 23.10; 2023. doi.org/10.1061/IJGNAI.GMENG-8072

147-23 Jiale Li, Jijian Lian, Haijun Wang, Yaohua Guo, Sha Liu, Yutong Zhang, FengWu Zhang, Numerical study of the local scour characteristics of bottom-supported installation platforms during the installation of a monopile, Ships and Offshore Structures, 2023. doi.org/10.1080/17445302.2023.2243700

144-23 Weixang Liang, Min Lou, Changhong Fan, Deguang Zhao, Xiang Li, Coupling effect of vortex-induced vibration and local scour of double tandem pipelines in steady current, Ocean Engineering, 286.1; 115495, 2023. doi.org/10.1016/j.oceaneng.2023.11549

136-23 Zegao Yin, Jiahao Li, Yanxu Wang, Haojian Wang, Tianxu Yin, Solitary wave attenuation characteristics of mangroves and multi-parameter prediction model, Ocean Engineering, 285.2; 115372, 2023. doi.org/10.1016/j.oceaneng.2023.115372

130-23 Sheng Wang, Chaozhe Yuan, Yuchi Hao, Xiaowei Yan, Feasibility analysis of laying and construction of deep-water dredging sinking pipeline, The 33rd International Ocean and Polar Engineering Conference, ISOPE-1-23-030, 2023.

127-23 Chen-Shan Kung, Ya-Cing You, Pei-Yu Lee, Siu-Yu Pan, Yu-Chun Chen, The air entrainment effect stability on the marine pipeline, The 33rd International Ocean and Polar Engineering Conference, ISOPE-I-23-242, 2023.

126-23 Yuting Wang, Zhaode Zhang, Yuan Zhang, Numerical simulationa and measurement of artificial flow creation in reclamation projects, The 33rd International Ocean and Polar Engineering Conference, ISOPE-1-23-168, 2023.

125-23 Chen-Shan Kung, Siu-Yu Pan, Pei-Yu Lee, Ya-Cing You, Yu-Chun Chen, Numerical simulation of wave motion on the submarine HDPE pipe system, The 33rd International Ocean and Polar Engineering Conference, ISOPE-I-23-327, 2023.

115-23 Qishun Li, Yanpeng Hao, Peng Zhang, Haotian Tan, Wanxing Tian, Linhao Chen, Lin Yang, Numerical study of the local scouring process and influencing factors of semi-exposed submarine cables, Journal of Marine Science and Engineering, 11.7; 1349, 2023. doi.org/10.3390/jmse11071349

113-23 Minxi Zhang, Hanyan Zhao, Dongliang Zhao, Shaolin Yue, Huan Zhou, Xudong Zhao, Carlo Gualtieri, Guoliang Yu, Numerical study of the flow at a vertical pile with net-like scour protection mat, Journal of Ocean Engineering and Science, 2023. doi.org/10.1016/j.joes.2023.06.002

108-23 Seyed A. Ghaherinezhad, M. Behdarvandi Askar, Investigating effect of changing vegetation height with irregular layout on reduction of waves using FLOW-3D numerical model, Journal of Hydraulic and Water Engineering, 1.1; pp.55-64, 2023. doi.org/10.22044/JHWE.2023.12844.1004

92-23 Tongshun Yu, Xingyu Chen, Yuying Tang, Junrong Wang, Yuqiao Wang, Shuting Huang, Numerical modelling of wave run-up heights and loads on multi-degree-of-freedom buoy wave energy converters, Applied Energy, 344; 121255, 2023. doi.org/10.1016/j.apenergy.2023.121255

85-23   Emilee A. Wissmach, Biomimicry of natural reef hydrodynamics in an artificial spur and groove reef formation, Thesis, Florida Institute of Technology, 2023.

81-23   Zhi Fan, Feifei Cao, Hongda Shi, Numerical simulation on the energy capture spectrum of heaving buoy wave energy converter, Ocean Engineering, 280; 114475, 2023. doi.org/10.1016/j.oceaneng.2023.114475

72-23   Zegao Yin, Fei Wu, Yingni Luan, Xuecong Zhang, Xiutao Jiang, Jie Xiong, Hydrodynamic and aeration characteristics of an aerator of a surging water tank with a vertical baffle under a horizontal sinusoidal motion, Ocean Engineering, 287; 114396, 2023. doi.org/10.1016/j.oceaneng.2023.114396

71-23   Erfan Amini, Mahdieh Nasiri, Navid Salami Pargoo, Zahra Mozhgani, Danial Golbaz, Mehrdad Baniesmaeil, Meysam Majidi Nezhad, Mehdi Neshat, Davide Astiaso Garcia, Georgios Sylaios, Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach, Energy Conversion and Management: X, 19; 100371, 2023. doi.org/10.1016/j.ecmx.2023.100371

70-23   Ali Ghasemi, Rouholla Amirabadi, Ulrich Reza Kamalian, Numerical investigation of hydrodynamic responses and statistical analysis of imposed forces for various geometries of the crown structure of caisson breakwater, Ocean Engineering, 278; 114358, 2023. doi.org/10.1016/j.oceaneng.2023.114358

67-23   Aisyah Dwi Puspasari, Jyh-Haw Tang, Numerical simulation of scouring around groups of six cylinders with different flow directions, Journal of the Chinese Institute of Engineers, 46.4; 2023. doi.org/10.1080/02533839.2023.2194919

62-23   Rob Nairn, Qimiao Lu, Rebecca Quan, Matthew Hoy, Dain Gillen, Data collection and modeling in support of the Mid-Breton Sediment Diversion Project, Coastal Sediments, 2023. doi.org/10.1142/9789811275135_0246

55-23   Yupeng Ren, Hao Tian, Zhiyuan Chen, Guohui Xu, Lejun Liu, Yibing Li, Two kinds of waves causing the resuspension of deep-sea sediments: excitation and internal solitary waves, Journal of Ocean University of China, 22; pp. 429-440, 2023. doi.org/10.1007/s11802-023-5293-2

42-23   Antonija Harasti, Gordon Gilja, Simulation of equilibrium scour hole development around riprap sloping structure using the numerical model, EGU General Assembly, 2023. doi.org/10.5194/egusphere-egu23-6811

25-23   Ke Hu, Xinglan Bai, Murilo A. Vaz, Numerical simulation on the local scour processing and influencing factors of submarine pipeline, Journal of Marine Science and Engineering, 11.1; 234, 2023. doi.org/10.3390/jmse11010234

12-23   Fan Zhang, Zhipeng Zang, Ming Zhao, Jinfeng Zhang, Numerical investigations on scour and flow around two crossing pipelines on a sandy seabed, Journal of Marine Science and Engineering, 10.12; 2019, 2023. doi.org/10.3390/jmse10122019

10-23 Wenshe Zhou, Yongzhou Cheng, Zhiyuan Lin, Numerical simulation of long-wave wave dissipation in near-water flat-plate array breakwaters, Ocean Engineering, 268; 113377, 2023. doi.org/10.1016/j.oceaneng.2022.113377

181-22   Ramtin Sabeti, Mohammad Heidarzadeh, Numerical simulations of water waves generated by subaerial granular and solid-block landslides: Validation, comparison, and predictive equations, Ocean Engineering, 266.3; 112853, 2022. doi.org/10.1016/j.oceaneng.2022.112853 

167-22 Zhiyong Zhang, Cunhong Pan, Jian Zeng, Fuyuan Chen, Hao Qin, Kun He, Kui Zhu, Enjin Zhao, Hydrodynamics of tidal bore overflow on the spur dike and its infuence on the local scour, Ocean Engineering, 266.4; 113140, 2022. doi.org/10.1016/j.oceaneng.2022.113140

166-22 Nguyet-Minh Nguyen, Duong Do Van, Duy Tu Le, Quyen Nguyen, Bang Tran, Thanh Cong Nguyen, David Wright, Ahad Hasan Tanim, Phong Nguyen Thanh, Duong Tran Anh, Physical and numerical modeling of four different shapes of breakwaters to test the suspended sediment trapping capacity in the Mekong Delta, Estuarine, Coastal and Shelf Science, 279; 108141, 2022. doi.org/10.1016/j.ecss.2022.108141

163-22 Sahameddin Mahmoudi Kurdistani, Giuseppe Roberto Tomasicchio, Felice D’Alessandro, Antonio Francone, Formula for wave transmission at submerged homogeneous porous breakwaters, Ocean Engineering, 266.4; 113053, 2022. doi.org/10.1016/j.oceaneng.2022.113053

162-22 Kai Wei, Xueshuang Yin, Numerical study into configuration of horizontal flanges on hydrodynamic performance of moored box-type floating breakwater, Ocean Engineering, 266.4; 112991, 2022. doi.org/10.1016/j.oceaneng.2022.112991

161-22 Sung-Chul Jang, Jin-Yong Jeong, Seung-Woo Lee, Dongha Kim, Identifying hydraulic characteristics related to fishery activities using numerical analysis and an automatic identification system of a fishing vessel, Journal of Marine Science and Engineering, 10; 1619, 2022. doi.org/10.3390/jmse10111619

156-22 Keith Adams, Mohammad Heidarzadeh, Extratropical cyclone damage to the seawall in Dawlish, UK: Eyewitness accounts, sea level analysis and numerical modelling, Natural Hazards, 2022. doi.org/10.1007/s11069-022-05692-2

155-22 Youxiang Lu, Zhenlu Wang, Zegao Yin, Guoxiang Wu, Bingchen Liang, Experimental and numerical studies on local scour around closely spaced circular piles under the action of steady current, Journal of Marine Science and Engineering, 10; 1569, 2022. doi.org/10.3390/jmse10111569

152-22 Nauman Riyaz Maldar, Ng Cheng Yee, Elif Oguz, Shwetank Krishna, Performance investigation of a drag-based hydrokinetic turbine considering the effect of deflector, flow velocity, and blade shape, Ocean Engineering, 266.2; 112765, 2022. doi.org/10.1016/j.oceaneng.2022.112765

148-22   Ramtin Sabeti, Mohammad Heidarzadeh, Numerical simulations of water waves generated by subaerial granular and solid-block landslides: Validation, comparison, and predictive equations, Ocean Engineering, 266.3; 112853, 2022. doi.org/10.1016/j.oceaneng.2022.112853

145-22   I-Fan Tseng, Chih-Hung Hsu, Po-Hung Yeh, Ting-Chieh Lin, Physical mechanism for seabed scouring around a breakwater—a case study in Mailiao Port, Journal of Marine Science and Engineering, 10; 1386, 2022. doi.org/10.3390/jmse10101386

144-22   Jiarui Yu, Baozeng Yue, Bole Ma, Isogeometric analysis with level set method for large-amplitude liquid sloshing, Ocean Engineering, 265; 112613, 2022. doi.org/10.1016/j.oceaneng.2022.112613

141-22   Qi Yang, Peng Yu, Hongjun Liu, Computational investigation of scour characteristics of USAF in multi-specie sand under steady current, Ocean Engineering, 262; 112141, 2022. doi.org/10.1016/j.oceaneng.2022.112141

128-22   Atish Deoraj, Calvin Wells, Justin Pringle, Derek Stretch, On the reef scale hydrodynamics at Sodwana Bay, South Africa, Environmental Fluid Mechanics, 2022. doi.org/10.1007/s10652-022-09896-9

108-22   Angela Di Leo, Mariano Buccino, Fabio Dentale, Eugenio Pugliese Carratelli, CFD analysis of wind effect on wave overtopping, 32nd International Ocean and Polar Engineering Conference,  ISOPE-I-22-428, 2022.

105-22   Pin-Tzu Su, Chen-shan Kung, Effects of currents and sediment flushing on marine pipes, 32nd International Ocean and Polar Engineering Conference, ISOPE-I-22-153, 2022.

89-22   Kai Wei, Cong Zhou, Bo Xu, Spatial distribution models of horizontal and vertical wave impact pressure on the elevated box structure, Applied Ocean Research, 125; 103245, 2022. doi.org/10.1016/j.apor.2022.103245

87-22   Tran Thuy Linh, Numerical modelling (3D) of wave interaction with porous structures in the Mekong Delta coastal zone, Thesis, Ho Chi Minh City University of Technology, 2022.

82-22   Seyyed-Mahmood Ghassemizadeh, Mohammad Javad Ketabdari, Modeling of solitary wave interaction with curved-facing seawalls using numerical method, Advances in Civil Engineering, 5649637, 2022. doi.org/10.1155/2022/5649637

81-22   Raphael Alwan, Boyin Ding, David M. Skene, Zhaobin Li, Luke G. Bennetts, On the structure of waves radiated by a submerged cylinder undergoing large-amplitude heave motions, 32nd International Ocean and Polar Engineering Conference, Shanghai, China, June 5-10, 2022. doi.org/10.1111/jfr3.12828

77-22   Weiyun Chen, Linchong Huang, Dan Wang, Chao Liu, Lingyu Xu, Zhi Ding, Effects of siltation and desiltation on the wave-induced stability of foundation trench of immersed tunnel, Soil Dynamics and Earthquake Engineering, 160; 107360, 2022. doi.org/10.1016/j.soildyn.2022.107360

63-22   Yongzhou Cheng, Zhiyuan Lin, Gan Hu, Xing Lyu, Numerical simulation of the hydrodynamic characteristics of the porous I-type composite breakwater, Journal of Marine Science and Application, 21; pp. 140-150, 2022. doi.org/10.1007/s11804-022-00251-4

37-22   Ray-Yeng Yang, Chuan-Wen Wang, Chin-Cheng Huang, Cheng-Hsien Chung, Chung-Pang, Chen, Chih-Jung Huang, The 1:20 scaled hydraulic model test and field experiment of barge-type floating offshore wind turbine system, Ocean Engineering, 247.1; 110486, 2022. doi.org/10.1016/j.oceaneng.2021.110486

35-22   Mingchao Cui, Zhisong Li, Chenglin Zhang, Xiaoyu Guo, Statistical investigation into the flow field of closed aquaculture tanks aboard a platform under periodic oscillation, Ocean Engineering, 248; 110677, 2022. doi.org/10.1016/j.oceaneng.2022.110677

30-22   Jijian Lian, Jiale Li, Yaohua Guo, Haijun Wang, Xu Yang, Numerical study on local scour characteristics of multi-bucket jacket foundation considering exposed height, Applied Ocean Research, 121; 103092. doi.org/10.1016/j.apor.2022.103092

19-22   J.J. Wiegerink, T.E. Baldock, D.P. Callaghan, C.M. Wang, Slosh suppression blocks – A concept for mitigating fluid motions in floating closed containment fish pen in high energy environments, Applied Ocean Research, 120; 103068, 2022. doi.org/10.1016/j.apor.2022.103068

9-22   Amir Bordbar, Soroosh Sharifi, Hassan Hemida, Investigation of scour around two side-by-side piles with different spacing ratios in live-bed, Lecture Notes in Civil Engineering, 208; pp. 302-309, 2022. doi.org/10.1007/978-981-16-7735-9_33

7-22   Jinzhao Li, Xuan Kong, Yilin Yang, Lu Deng, Wen Xiong, CFD investigations of tsunami-induced scour around bridge piers, Ocean Engineering, 244; 110373, 2022. doi.org/10.1016/j.oceaneng.2021.110373

3-22   Ana Gomes, José Pinho, Wave loads assessment on coastal structures at inundation risk using CFD modelling, Climate Change and Water Security, 178; pp. 207-218, 2022. doi.org/10.1007/978-981-16-5501-2_17

2-22   Ramtin Sabeti, Mohammad Heidarzadeh, Numerical simulations of tsunami wave generation by submarine landslides: Validation and sensitivity analysis to landslide parameters, Journal of Waterway, Port, Coastal, and Ocean Engineering, 148.2; 05021016, 2022. doi.org/10.1061/(ASCE)WW.1943-5460.0000694

146-21   Ming-ming Liu, Hao-cheng Wang, Guo-qiang Tang, Fei-fei Shao, Xin Jin, Investigation of local scour around two vertical piles by using numerical method, Ocean Engineering, 244; 110405, 2021. doi.org/10.1016/j.oceaneng.2021.110405

135-21   Jian Guo, Jiyi Wu, Tao Wang, Prediction of local scour depth of sea-crossing bridges based on the energy balance theory, Ships and Offshore Structures, 16.10, 2021. doi.org/10.1080/17445302.2021.2005362

133-21   Sahel Sohrabi, Mohamad Ali Lofollahi Yaghin, Mohamad Hosein Aminfar, Alireza Mojtahedi, Experimental and numerical investigation of hydrodynamic performance of a sloping floating breakwater with and without chain-net, Iranian Journal of Science and Technology: Transactions of Civil Engineering, , 2021. doi.org/10.1007/s40996-021-00780-y

131-21   Seyed Morteza Marashian, Mehdi Adjami, Ahmad Rezaee Mazyak, Numerical modelling investigation of wave interaction on composite berm breakwater, China Ocean Engineering, 35; pp. 631-645, 2021. doi.org/10.1007/s13344-021-0060-x

124-21   Ramin Safari Ghaleh, Omid Aminoroayaie Yamini, S. Hooman Mousavi, Mohammad Reza Kavianpour, Numerical modeling of failure mechanisms in articulated concrete block mattress as a sustainable coastal protection structure, Sustainability, 13.22; pp. 1-19, 2021.

118-21   A. Keshavarz, M. Vaghefi, G. Ahmadi, Investigation of flow patterns around rectangular and oblong peirs with collar located in a 180-degree sharp bend, Scientia Iranica A, 28.5; pp. 2479-2492, 2021.

109-21   Jacek Jachowski, Edyta Książkiewicz, Izabela Szwoch, Determination of the aerodynamic drag of pneumatic life rafts as a factor for increasing the reliability of rescue operations, Polish Maritime Research, 28.3; p. 128-136, 2021. doi.org/10.2478/pomr-2021-0040

107-21   Jiay Han, Bing Zhu, Baojie Lu, Hao Ding, Ke Li, Liang Cheng, Bo Huang, The influence of incident angles and length-diameter ratios on the round-ended cylinder under regular wave action, Ocean Engineering, 240; 109980, 2021. doi.org/10.1016/j.oceaneng.2021.109980

96-21   Andrea Franco, Jasper Moernaut, Barbara Schneider-Muntau, Michael Strasser, Bernhard Gems, Triggers and consequences of landslide-induced impulse waves – 3D dynamic reconstruction of the Taan Fiord 2015 tsunami event, Engineering Geology, 294; 106384, 2021. doi.org/10.1016/j.enggeo.2021.106384

95-21   Ahmed A. Romya, Hossam M. Moghazy, M.M. Iskander, Ahmed M. Abdelrazek, Performance assessment of corrugated semi-circular breakwaters for coastal protection, Alexandria Engineering Journal, in press, 2021. doi.org/10.1016/j.aej.2021.08.086

87-21   Ruigeng Hu, Hongjun Liu, Hao Leng, Peng Yu, Xiuhai Wang, Scour characteristics and equilibrium scour depth prediction around umbrella suction anchor foundation under random waves, Journal of Marine Science and Engineering, 9; 886, 2021. doi.org/10.3390/jmse9080886

78-21   Sahir Asrari, Habib Hakimzadeh, Nazila Kardan, Investigation on the local scour beneath piggyback pipelines under clear-water conditions, China Ocean Engineering, 35; pp. 422-431, 2021. doi.org/10.1007/s13344-021-0039-7

64-21   Pin-Tzu Su, Chen-shan Kung, Effects of diffusers on discharging jet, 31st International Ocean and Polar Engineering Conference (ISOPE), Rhodes, Greece, June 20-25, 2021.

62-21   Fei Wu, Wei Li, Shuzhao Li, Xiaopeng Shen, Delong Dong, Numerical simulation of scour of backfill soil by jetting flows on the top of buried caisson, 31st International Ocean and Polar Engineering Conference (ISOPE), Rhodes, Greece, June 20-25, 2021.

56-21   Murat Aksel, Oral Yagci, V.S. Ozgur Kirca, Eryilmaz Erdog, Naghmeh Heidari, A comparitive analysis of coherent structures around a pile over rigid-bed and scoured-bottom, Ocean Engineering, 226; 108759, 2021. doi.org/10.1016/j.oceaneng.2021.108759

52-21   Byeong Wook Lee, Changhoon Lee, Equation for ship wave crests in a uniform current in the entire range of water depths, Coastal Engineering, 167; 103900, 2021. doi.org/10.1016/j.coastaleng.2021.103900

43-21   Agnieszka Faulkner, Claire E. Bulgin, Christopher J. Merchant, Characterising industrial thermal plumes in coastal regions using 3-D numerical simulations, Environmental Research Communications, 3; 045003, 2021. doi.org/10.1088/2515-7620/abf62e

39-21   Fan Yang, Yiqi Zhang, Chao Liu, Tieli Wang, Dongin Jiang, Yan Jin, Numerical and experimental investigations of flow pattern and anti-vortex measures of forebay in a multi-unit pumping station, Water, 13.7; 935, 2021. doi.org/10.3390/w13070935

30-21   Norfadhlina Khalid, Aqil Azraie Che Shamshudin, Megat Khalid Puteri Zarina, Analysis on wave generation and hull: Modification for fishing vessels, Advanced Engineering for Processes and Technologies II: Advanced Structured Materials, 147; pp. 77-89, 2021. doi.org/10.1007/978-3-030-67307-9_9

28-21   Jae-Sang Jung, Jae-Seon Yoon, Seokkoo Kang, Seokil Jeong, Seung Oh Lee, Yong-Sung Park, Discharge characteristics of drainage gates on Saemangeum tidal dyke, South Korea, KSCE Journal of Engineering, 25; pp. 1308-1325, 2021. doi.org/10.1007/s12205-021-0590-z

24-21   Ali Temel, Mustafa Dogan, Time dependent investigation of the wave induced scour at the trunk section of a rubble mound breakwater, Ocean Engineering, 221; 108564, 2021. doi.org/10.1016/j.oceaneng.2020.108564

13-21   P.X. Zou, L.Z. Chen, The coupled tube-mooring system SFT hydrodynamic characteristics under wave excitations, Proceedings, 14th International Conference on Vibration Problems, Crete, Greece, September 1 – 4, 2019, pp. 907-923, 2021. doi.org/10.1007/978-981-15-8049-9_55

122-20  M.A. Musa, M.F. Roslan, M.F. Ahmad, A.M. Muzathik, M.A. Mustapa, A. Fitriadhy, M.H. Mohd, M.A.A. Rahman, The influence of ramp shape parameters on performance of overtopping breakwater for energy conversion, Journal of Marine Science and Engineering, 8.11; 875, 2020. doi.org/10.3390/jmse8110875

120-20  Lee Hooi Chie, Ahmad Khairi Abd Wahab, Derivation of engineering design criteria for flow field around intake structure: A numerical simulation study, Journal of Marine Science and Engineering, 8.10; 827, 2020.  doi.org/10.3390/jmse8100827

109-20  Mario Maiolo, Riccardo Alvise Mel, Salvatore Sinopoli, A stepwise approach to beach restoration at Calabaia Beach, Water, 12.10; 2677, 2020. doi.org/10.3390/w12102677

107-20  S. Deshpande, P. Sundsbø, S. Das, Ship resistance analysis using CFD simulations in Flow-3D, International Journal of Multiphysics, 14.3; pp. 227-236, 2020. doi.org/10.21152/1750-9548.14.3.227

103-20   Mahmood Nematollahi, Mohammad Navim Moghid, Numerical simulation of spatial distribution of wave overtopping on non-reshaping berm breakwaters, Journal of Marine Science and Application, 19; pp. 301-316, 2020. doi.org/10.1007/s11804-020-00147-1

98-20   Lin Zhao, Ning Wang, Qian Li, Analysis of flow characteristics and wave dissipation performances of a new structure, Proceedings, 30th International Ocean and Polar Engineering Conference (ISOPE), Online, October 11-16, ISOPE-I-20-3289, 2020.

96-20   Xiaoyu Guo, Zhisong Li, Mingchao Cui, Benlong Wang, Numerical investigation on flow characteristics of water in the fish tank on a force-rolling aquaculture platform, Ocean Engineering, 217; 107936, 2020. doi.org/10.1016/j.oceaneng.2020.107936

92-20   Yong-Jun Cho, Scour controlling effect of hybrid mono-pile as a substructure of offshore wind turbine: A numerical study, Journal of Marine Science and Engineering, 8.9; 637, 2020. doi.org/10.3390/jmse8090637

89-20   Andrea Franco, Jasper Moernaut, Barbara Schneider-Muntau, Michael Strasser, Bernhard Gems, The
1958 Lituya Bay tsunami – pre-event bathymetry reconstruction and 3D numerical modelling utilising the computational fluid dynamics software
Flow-3D, Natural Hazards and Earth Systems Sciences, 20; pp. 2255–2279, 2020. doi.org/10.5194/nhess-20-2255-2020

81-20   Eliseo Marchesi, Marco Negri, Stefano Malavasi, Development and analysis of a numerical model for a two-oscillating-body wave energy converter in shallow water, Ocean Engineering, 214; 107765, 2020. doi.org/10.1016/j.oceaneng.2020.107765

79-20   Zegao Yin, Yanxu Wang, Yong Liu, Wei Zou, Wave attenuation by rigid emergent vegetation under combined wave and current flows, Ocean Engineering, 213; 107632, 2020. doi.org/10.1016/j.oceaneng.2020.107632

71-20   B. Pan, N. Belyaev, FLOW-3D software for substantiation the layout of the port water area, IOP Conference Series: Materials Science and Engineering, Construction Mechanics, Hydraulics and Water Resources Engineering (CONMECHYDRO), Tashkent, Uzbekistan, 23-25 April, 883; 012020, 2020. doi.org/10.1088/1757-899X/883/1/012020

51-20       Yupeng Ren, Xingbei Xu, Guohui Xu, Zhiqin Liu, Measurement and calculation of particle trajectory of liquefied soil under wave action, Applied Ocean Research, 101; 102202, 2020. doi.org/10.1016/j.apor.2020.102202

50-20       C.C. Battiston, F.A. Bombardelli, E.B.C. Schettini, M.G. Marques, Mean flow and turbulence statistics through a sluice gate in a navigation lock system: A numerical study, European Journal of Mechanics – B/Fluids, 84; pp.155-163, 2020. doi.org/10.1016/j.euromechflu.2020.06.003

49-20     Ahmad Fitriadhy, Nur Amira Adam, Nurul Aqilah Mansor, Mohammad Fadhli Ahmad, Ahmad Jusoh, Noraieni Hj. Mokhtar, Mohd Sofiyan Sulaiman, CFD investigation into the effect of heave plate on vertical motion responses of a floating jetty, CFD Letters, 12.5; pp. 24-35, 2020. doi.org/10.37934/cfdl.12.5.2435

40-20       P. April Le Quéré, I. Nistor, A. Mohammadian, Numerical modeling of tsunami-induced scouring around a square column: Performance assessment of FLOW-3D and Delft3D, Journal of Coastal Research (preprint), 2020. doi.org/10.2112/JCOASTRES-D-19-00181

38-20       Sahameddin Mahmoudi Kurdistani, Giuseppe Roberto Tomasicchio, Daniele Conte, Stefano Mascetti, Sensitivity analysis of existing exponential empirical formulas for pore pressure distribution inside breakwater core using numerical modeling, Italian Journal of Engineering Geology and Environment, 1; pp. 65-71, 2020. doi.org/10.4408/IJEGE.2020-01.S-08

36-20       Mohammadamin Torabi, Bruce Savage, Efficiency improvement of a novel submerged oscillating water column (SOWC) energy harvester, Proceedings, World Environmental and Water Resources Congress (Cancelled), Henderson, Nevada, May 17–21, 2020. doi.org/10.1061/9780784482940.003

32-20       Adriano Henrique Tognato, Modelagem CFD da interação entre hidrodinâmica costeira e quebra-mar submerso: estudo de caso da Ponta da Praia em Santos, SP (CFD modeling of interaction between sea waves and submerged breakwater at Ponta de Praia – Santos, SP: a case study, Thesis, Universidad Estadual de Campinas, Campinas, Brazil, 2020.

29-20   Ana Gomes, José L. S. Pinho, Tiago Valente, José S. Antunes do Carmo and Arkal V. Hegde, Performance assessment of a semi-circular breakwater through CFD modelling, Journal of Marine Science and Engineering, 8.3, art. no. 226, 2020. doi.org/10.3390/jmse8030226

23-20  Qi Yang, Peng Yu, Yifan Liu, Hongjun Liu, Peng Zhang and Quandi Wang, Scour characteristics of an offshore umbrella suction anchor foundation under the combined actions of waves and currents, Ocean Engineering, 202, art. no. 106701, 2020. doi.org/10.1016/j.oceaneng.2019.106701

04-20  Bingchen Liang, Shengtao Du, Xinying Pan and Libang Zhang, Local scour for vertical piles in steady currents: review of mechanisms, influencing factors and empirical equations, Journal of Marine Science and Engineering, 8.1, art. no. 4, 2020. doi.org/10.3390/jmse8010004

104-19   A. Fitriadhy, S.F. Abdullah, M. Hairil, M.F. Ahmad and A. Jusoh, Optimized modelling on lateral separation of twin pontoon-net floating breakwater, Journal of Mechanical Engineering and Sciences, 13.4, pp. 5764-5779, 2019. doi.org/10.15282/jmes.13.4.2019.04.0460

103-19  Ahmad Fitriadhy, Nurul Aqilah Mansor, Nur Adlina Aldin and Adi Maimun, CFD analysis on course stability of an asymmetrical bridle towline model of a towed ship, CFD Letters, 11.12, pp. 43-52, 2019.

90-19   Eric P. Lemont and Karthik Ramaswamy, Computational fluid dynamics in coastal engineering: Verification of a breakwater design in the Torres Strait, Proceedings, pp. 762-768, Australian Coasts and Ports 2019 Conference, Hobart, Australia, September 10-13, 2019.

86-19   Mohammed Arab Fatiha, Benoît Augier, François Deniset, Pascal Casari, and Jacques André Astolfi, Morphing hydrofoil model driven by compliant composite structure and internal pressure, Journal of Marine Science and Engineering, 7:423, 2019. doi.org/10.3390/jmse7120423

83-19   Cong-Uy Nguyen, So-Young Lee, Thanh-Canh Huynh, Heon-Tae Kim, and Jeong-Tae Kim, Vibration characteristics of offshore wind turbine tower with gravity-based foundation under wave excitation, Smart Structures and Systems, 23:5, pp. 405-420, 2019. doi.org/10.12989/sss.2019.23.5.405

68-19   B.W. Lee and C. Lee, Development of an equation for ship wave crests in a current in whole water depths, Proceedings, 10th International Conference on Asian and Pacific Coasts (APAC 2019), Hanoi, Vietnam, September 25-28, 2019; pp. 207-212, 2019. doi.org/10.1007/978-981-15-0291-0_29

62-19   Byeong Wook Lee and Changhoon Lee, Equation for ship wave crests in the entire range of water depths, Coastal Engineering, 153:103542, 2019. doi.org/10.1016/j.coastaleng.2019.103542

23-19     Mariano Buccino, Mohammad Daliri, Fabio Dentale, Angela Di Leo, and Mario Calabrese, CFD experiments on a low crested sloping top caisson breakwater, Part 1: Nature of loadings and global stability, Ocean Engineering, Vol. 182, pp. 259-282, 2019. doi.org/10.1016/j.oceaneng.2019.04.017

21-19     Mahsa Ghazian Arabi, Deniz Velioglu Sogut, Ali Khosronejad, Ahmet C. Yalciner, and Ali Farhadzadeh, A numerical and experimental study of local hydrodynamics due to interactions between a solitary wave and an impervious structure, Coastal Engineering, Vol. 147, pp. 43-62, 2019. doi.org/10.1016/j.coastaleng.2019.02.004

15-19     Chencong Liao, Jinjian Chen, and Yizhou Zhang, Accumulation of pore water pressure in a homogeneous sandy seabed around a rocking mono-pile subjected to wave loads, Vol. 173, pp. 810-822, 2019. doi.org/10.1016/j.oceaneng.2018.12.072

09-19     Yaoyong Chen, Guoxu Niu, and Yuliang Ma, Study on hydrodynamics of a new comb-type floating breakwater fixed on the water surface, 2018 International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2018), Wuhan, China, December 14-16, 2018, E3S Web of Conferences Vol. 79, Art. No. 02003, 2019. doi.org/10.1051/e3sconf/20197902003

08-19     Hongda Shi, Zhi Han, and Chenyu Zhao, Numerical study on the optimization design of the conical bottom heaving buoy convertor, Ocean Engineering, Vol. 173, pp. 235-243, 2019. doi.org/10.1016/j.oceaneng.2018.12.061

06-19   S. Hemavathi, R. Manjula and N. Ponmani, Numerical modelling and experimental investigation on the effect of wave attenuation due to coastal vegetation, Proceedings of the Fourth International Conference in Ocean Engineering (ICOE2018), Vol. 2, pp. 99-110, 2019. doi.org/10.1007/978-981-13-3134-3_9

87-18   Muhammad Syazwan Bazli, Omar Yaakob and Kang Hooi Siang, Validation study of u-oscillating water column device using computational fluid dynamic (CFD) simulation, 11thInternational Conference on Marine Technology, Kuala Lumpur, Malaysia, August 13-14, 2018.

86-18   Nur Adlina Aldin, Ahmad Fitriadhy, Nurul Aqilah Mansor, and Adi Maimun, CFD analysis on unsteady yaw motion characteristic of a towed ship, 11th International Conference on Marine Technology, Kuala Lumpur, Malaysia, August 13-14, 2018.

78-18 A.A. Abo Zaid, W.E. Mahmod, A.S. Koraim, E.M. Heikal and H.E. Fath, Wave interaction of partially immersed semicircular breakwater suspended on piles using FLOW-3D, CSME Conference Proceedings, Toronto, Canada, May 27-30, 2018.

73-18   Jian Zhou and Subhas K. Venayagamoorthy, Near-field mean flow dynamics of a cylindrical canopy patch suspended in deep water, Journal of Fluid Mechanics, Vol. 858, pp. 634-655, 2018. doi.org/10.1017/jfm.2018.775

69-18   Keisuke Yoshida, Shiro Maeno, Tomihiro Iiboshi and Daisuke Araki, Estimation of hydrodynamic forces acting on concrete blocks of toe protection works for coastal dikes by tsunami overflows, Applied Ocean Research, Vol. 80, pp. 181-196, 2018. doi.org/10.1016/j.apor.2018.09.001

68-18   Zegao Yin, Yanxu Wang and Xiaoyu Yang, Regular wave run-up attenuation on a slope by emergent rigid vegetation, Journal of Coastal Research (in-press), 2018. doi.org/10.2112/JCOASTRES-D-17-00200.1

65-18   Dagui Tong, Chencong Liao, Jinjian Chen and Qi Zhang, Numerical simulation of a sandy seabed response to water surface waves propagating on current, Journal of Marine Science and Engineering, Vol. 6, No. 3, 2018. doi.org/10.3390/jmse6030088

61-18   Manuel Gerardo Verduzco-Zapata, Aramis Olivos-Ortiz, Marco Liñán-Cabello, Christian Ortega-Ortiz, Marco Galicia-Pérez, Chris Matthews, and Omar Cervantes-Rosas, Development of a Desalination System Driven by Low Energy Ocean Surface Waves, Journal of Coastal Research: Special Issue 85 – Proceedings of the 15th International Coastal Symposium, pp. 1321 – 1325, 2018. doi.org/10.2112/SI85-265.1

37-18   Songsen Xu, Chunshuo Jiao, Meng Ning and Sheng Dong, Analysis of Buoyancy Module Auxiliary Installation Technology Based on Numerical Simulation, Journal of Ocean University of China, vol. 17, no. 2, pp. 267-280, 2018. doi.org/10.1007/s11802-018-3305-4

36-18   Deniz Velioglu Sogut and Ahmet Cevdet Yalciner, Performance comparison of NAMI DANCE and FLOW-3D® models in tsunami propagation, inundation and currents using NTHMP benchmark problems, Pure and Applied Geophysics, pp. 1-39, 2018. doi.org/10.1007/s00024-018-1907-9

26-18   Mohammad Sarfaraz and Ali Pak, Numerical investigation of the stability of armour units in low-crested breakwaters using combined SPH–Polyhedral DEM method, Journal of Fluids and Structures, vol. 81, pp. 14-35, 2018. doi.org/10.1016/j.jfluidstructs.2018.04.016

25-18   Yen-Lung Chen and Shih-Chun Hsiao, Numerical modeling of a buoyant round jet under regular waves, Ocean Engineering, vol. 161, pp. 154-167, 2018. doi.org/10.1016/j.oceaneng.2018.04.093

13-18   Yizhou Zhang, Chencong Liao, Jinjian Chen, Dagui Tong, and Jianhua Wang, Numerical analysis of interaction between seabed and mono-pile subjected to dynamic wave loadings considering the pile rocking effect, Ocean Engineering, Volume 155, 1 May 2018, Pages 173-188, doi.org/10.1016/j.oceaneng.2018.02.041

11-18  Ching-Piao Tsai, Chun-Han Ko and Ying-Chi Chen, Investigation on Performance of a Modified Breakwater-Integrated OWC Wave Energy Converter, Open Access Sustainability 2018, 10(3), 643; doi:10.3390/su10030643, © Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2018.

58-17   Jian Zhou, Claudia Cenedese, Tim Williams and Megan Ball, On the propagation of gravity currents over and through a submerged array of circular cylinders, Journal of Fluid Mechanics, Vol. 831, pp. 394-417, 2017. doi.org/10.1017/jfm.2017.604

56-17   Yu-Shu Kuo, Chih-Yin Chung, Shih-Chun Hsiao and Yu-Kai Wang, Hydrodynamic characteristics of Oscillating Water Column caisson breakwaters, Renewable Energy, vol. 103, pp. 439-447, 2017. doi.org/10.1016/j.renene.2016.11.028

47-17   Jae-Nam Cho, Chang-Geun Song, Kyu-Nam Hwang and Seung-Oh Lee, Experimental assessment of suspended sediment concentration changed by solitary wave, Journal of Marine Science and Technology, Vol. 25, No. 6, pp. 649-655 (2017) 649 DOI: 10.6119/JMST-017-1226-04

45-17   Muhammad Aldhiansyah Rifqi Fauzi, Haryo Dwito Armono, Mahmud Mustain and Aniendhita Rizki Amalia, Comparison Study of Various Type Artificial Reef Performance in Reducing Wave Height, Regional Conference in Civil Engineering (RCCE) 430 The Third International Conference on Civil Engineering Research (ICCER) August 1st-2nd 2017, Surabaya – Indonesia.

44-17   Fabio Dentale, Ferdinando Reale, Angela Di Leo, and Eugenio Pugliese Carratelli, A CFD approach to rubble mound breakwater design, International Journal of Naval Architecture and Ocean Engineering, Available online 30 December 2017.

39-17   Milad Rashidinasab and Mehdi Behdarvandi Askar, Modeling the Pressure Distribution and the Changes of Water Level around the Offshore Platforms Exposed to Waves, Using the Numerical Model of FLOW-3D, Computational Water, Energy, and Environmental Engineering, 2017, 6, 97-106, http://www.scirp.org/journal/cweee, ISSN Online: 2168-1570, ISSN Print: 2168-1562

30-17   Omid Nourani and Mehdi Behdarvandi Askar, Comparison of the Effect of Tetrapod Block and Armor X block on Reducing Wave Overtopping in Breakwaters, Open Journal of Marine Science, 2017, 7, 472-484 http://www.scirp.org/journal/ojms ISSN Online: 2161-7392.

29-17   J.A. Vasquez, Modelling the generation and propagation of landslide generated waves, Leadership in Sustainable Infrastructure, Annual Conference – Vancouver, May 31 – June 3, 2017

28-17   Manuel G. Verduzco-Zapata, Francisco J. Ocampo-Torres, Chris Matthews, Aramis Olivos-Ortiz, Diego E. and Galván-Pozos, Development of a Wave Powered Desalination Device Numerical Modelling, Proceedings of the 12th European Wave and Tidal Energy Conference 27th Aug -1st Sept 2017, Cork, Ireland

20-17   Chu-Kuan Lin, Jaw-Guei Lin, Ya-Lan Chen, Chin-Shen Chang, Seabed Change and Soil Resistance Assessment of Jack up Foundation, Proceedings of the Twenty-seventh (2017) International Ocean and Polar Engineering Conference, San Francisco, CA, USA, June 25-30, 2017, Copyright © 2017 by the International Society of Offshore and Polar Engineers (ISOPE), ISBN 978-1-880653-97-5; ISSN 1098-6189.

19-17   Velioğlu Deniz, Advanced Two- and Three-Dimensional Tsunami – Models Benchmarking and Validation, Ph.D Thesis:, Middle East Technical University, June 2017

18-17   Farrokh Mahnamfar and Abdüsselam Altunkaynak, Comparison of numerical and experimental analyses for optimizing the geometry of OWC systems, Ocean Engineering 130 (2017) 10–24.

07-17   Jonas Čerka, Rima Mickevičienė, Žydrūnas Ašmontas, Lukas Norkevičius, Tomas Žapnickas, Vasilij Djačkov and Peilin Zhou, Optimization of the research vessel hull form by using numerical simulation, Ocean Engineering 139 (2017) 33–38

05-17   Liang, B.; Ma, S.; Pan, X., and Lee, D.Y., Numerical modelling of wave run-up with interaction between wave and dolosse breakwater, In: Lee, J.L.; Griffiths, T.; Lotan, A.; Suh, K.-S., and Lee, J. (eds.), 2017, The 2nd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 79, pp. 294-298. Coconut Creek (Florida), ISSN 0749-0208.

02-17   A. Yazid Maliki, M. Azlan Musa, Ahmad M.F., Zamri I., Omar Y., Comparison of numerical and experimental results for overtopping discharge of the OBREC wave energy converter, Journal of Engineering Science and Technology, In Press, © School of Engineering, Taylor’s University

01-17   Tanvir Sayeed, Bruce Colbourne, David Molyneux, Ayhan Akinturk, Experimental and numerical investigation of wave forces on partially submerged bodies in close proximity to a fixed structure, Ocean Engineering, Volume 132, Pages 70–91, March 2017

101-16 Xin Li, Liang-yu Xu, Jian-Min Yang, Study of fluid resonance between two side-by-side floating barges, Journal of Hydrodynamics, vol. B-28, no. 5, pp. 767-777, 2016. doi.org/10.1016/S1001-6058(16)60679-0

81-16   Loretta Gnavi, Deep water challenges: development of depositional models to support geohazard assessment for submarine facilities, Ph.D. Thesis: Politecnico di Torino, May 2016

80-16   Mohammed Ibrahim, Hany Ahmed, Mostafa Abd Alall and A.S. Koraim, Proposing and investigating the efficiency of vertical perforated breakwater, International Journal of Scientific & Engineering Research, Volume 7, Issue 3, March 2016, ISSN 2229-5518

72-16   Yen-Lung Chen and Shih-Chun Hsiao, Generation of 3D water waves using mass source wavemaker applied to Navier–Stokes model, Coastal Engineering 109 (2016) 76–95.

64-16   Jae Nam Cho, Dong Hyun Kim and Seung Oh Lee, Experimental Study of Shape and Pressure Characteristics of Solitary Wave generated by Sluice Gate for Various Conditions, Journal of the Korean Society of Safety, Vol. 31, No. 2, pp. 70-75, April 2016, Copyright @ 2016 by The Korean Society of Safety (pISSN 1738-3803, eISSN 2383-9953) All right reserved. http://dx.doi.org/10.14346/JKOSOS.2016.31.2.70

56-16   Ali A. Babajani, Mohammad Jafari and Parinaz Hafezi Sefat, Numerical investigation of distance effect between two Searasers for hydrodynamic performance, Alexandria Engineering Journal, June 2016.

53-16   Hwang-Ki Lee, Byeong-Kuk Kim, Jongkyu Kim and Hyeon-Ju Kim, OTEC thermal dispersion in coastal waters of Tarawa, Kiribati, OCEANS 2016 – Shanghai, April 2016, 10.1109/OCEANSAP.2016.7485548, © IEEE.

50-16   Mohsin A. R. Irkal, S. Nallayarasu and S. K. Bhattacharyya, CFD simulation of roll damping characteristics of a ship midsection with bilge keel, Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2016, June 19-24, 2016, Busan, South Korea

49-16   Bill Baird, Seth Logan, Wim Van Der Molen, Trevor Elliot and Don Zimmer, Thoughts on the future of physical models in coastal engineering, Proceedings of the 6th International Conference on the Application of Physical Modelling in Coastal and Port Engineering and Science (Coastlab16) Ottawa, Canada, May 10-13, 2016 Copyright ©: Creative Commons CC BY-NC-ND 4.0

47-16   KH Kim et. al, Numerical analysis on the effects of shoal on the ship wave, Applied Engineering, Materials and Mechanics: Proceedings of the 2016 International Conference on Applied Engineering, Materials and Mechanics (ICAEMM 2016)

17-16  Nan-Jing Wu, Shih-Chun Hsiao, Hsin-Hung Chen, and Ray-Yeng Yang, The study on solitary waves generated by a piston-type wave maker, Ocean Engineering, 117(2016)114–129

13-16   Maryam Deilami-Tarifi, Mehdi Behdarvandi-Askar, Vahid Chegini, and Sadegh Haghighi-Pou, Modeling of the Changes in Flow Velocity on Seawalls under Different Conditions Using FLOW-3DSoftware, Open Journal of Marine Science, 2016, 6, 317-322, Published Online April 2016 in SciRes.

01-16   Mohsin A.R. Irkal, S. Nallayarasu, and S.K. Bhattacharyya, CFD approach to roll damping of ship with bilge keel with experimental validation, Applied Ocean Research, Volume 55, February 2016, Pages 1–17

121-15   Josh Carter, Scott Fenical, Craig Hunter and Joshua Todd, CFD modeling for the analysis of living shoreline structure performance, Coastal Structures and Solutions to Coastal Disasters Joint Conference, Boston, MA, Sept. 9-11, 2015. © 2017 by the American Society of Civil Engineers. doi.org/10.1061/9780784480304.047

114-15   Jisheng Zhang, Peng Gao, Jinhai Zheng, Xiuguang Wu, Yuxuan Peng and Tiantian Zhang, Current-induced seabed scour around a pile-supported horizontal-axis tidal stream turbine, Journal of Marine Science and Technology, Vol. 23, No. 6, pp. 929-936 (2015) 929, DOI: 10.6119/JMST-015-0610-11

108-15  Tiecheng Wang, Tao Meng, and Hailong Zha, Analysis of Tsunami Effect and Structural Response, ISSN 1330-3651 (Print), ISSN 1848-6339 (Online), DOI: 10.17559/TV-20150122115308

107-15   Jie Chen, Changbo Jiang, Wu Yang, Guizhen Xiao, Laboratory study on protection of tsunami-induced scour by offshore breakwaters, Natural Hazards, 2015, 1-19

85-15   Majid A. Bhinder, M.T. Rahmati, C.G. Mingham and G.A. Aggidis, Numerical hydrodynamic modelling of a pitching wave energy converter, European Journal of Computational Mechanics, Volume 24, Issue 4, 2015, DOI: 10.1080/17797179.2015.1096228

65-15   Giancarlo Alfonsi, Numerical Simulations of Wave-Induced Flow Fields around Large-Diameter Surface-Piercing Vertical Circular Cylinder, Computation 2015, 3(3), 386-426; doi:10.3390/computation3030386

61-15   Bingchen Liang, Duo Li, Xinying Pan and Guangxin Jiang, Numerical Study of Local Scour of Pipeline under Combined Wave and Current Conditions, Proceedings of the Twenty-fifth (2015) International Ocean and Polar Engineering Conference Kona, Big Island, Hawaii, USA, June 21-26, 2015 Copyright © 2015 by the International Society of Offshore and Polar Engineers (ISOPE) ISBN 978-1-880653-89-0; ISSN 1098-6189.

60-15   Chun-Han Ko, Ching-Piao Tsai, Ying-Chi Chen, and Tri-Octaviani Sihombing, Numerical Simulations of Wave and Flow Variations between Submerged Breakwaters and Slope Seawall, Proceedings of the Twenty-fifth (2015) International Ocean and Polar Engineering Conference Kona, Big Island, Hawaii, USA, June 21-26, 2015 Copyright © 2015 by the International Society of Offshore and Polar Engineers (ISOPE) ISBN 978-1-880653-89-0; ISSN 1098-6189.

57-15   Giacomo Viccione and Settimio Ferlisi, A numerical investigation of the interaction between debris flows and defense barriers, Advances in Environmental and Geological Science and Engineering, ISBN: 978-1-61804-314-6, 2015

56-15   Vittorio Bovolin, Eugenio Pugliese Carratelli and Giacomo Viccione, A numerical study of liquid impact on inclined surfaces, Advances in Environmental and Geological Science and Engineering, ISBN: 978-1-61804-314-6, 2015

49-15   Fabio Dentale, Giovanna Donnarumma, Eugenio Pugliese Carratelli, and Ferdinando Reale, A numerical method to analyze the interaction between sea waves and rubble mound emerged breakwaters, WSEAS TRANSACTIONS on FLUID MECHANICS, E-ISSN: 2224-347X, Volume 10, 2015

45-15   Diego Vicinanza, Daniela Salerno, Fabio Dentale and Mariano Buccino, Structural Response of Seawave Slot-cone Generator (SSG) from Random Wave CFD Simulations, Proceedings of the Twenty-fifth (2015) International Ocean and Polar Engineering Conference, Kona, Big Island, Hawaii, USA, June 21-26, 2015, Copyright © 2015 by the International Society of Offshore and Polar Engineers (ISOPE), ISBN 978-1-880653-89-0; ISSN 1098-6189

38-15   Yen-Lung Chen, Shih-Chun Hsiao, Yu-Cheng Hou, Han-Lun Wu and Yuan Chieh Wu, Numerical Simulation of a Neutrally Buoyant Round Jet in a Wave Environment, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

34-15   Dieter Vanneste and Peter Troch, 2D numerical simulation of large-scale physical model tests of wave interaction with a rubble-mound breakwater, Coastal Engineering, Volume 103, September 2015, Pages 22–41.

29-15   Masanobu Toyoda, Hiroki Kusumoto, and Kazuo Watanabe, Intrinsically Safe Cryogenic Cargo Containment System of IHI-SPB LNG Tank, IHI Engineering Review, Vol. 47, No. 2, 2015.

24-15   Xixi Pan, Shiming Wang, and Yongcheng Liang, Three-dimensional simulation of floating wave power device, International Power, Electronics and Materials Engineering Conference (IPEMEC 2015)

05-15   M. A. Bhinder, A. Babarit, L. Gentaz, and P. Ferrant, Potential Time Domain Model with Viscous Correction and CFD Analysis of a Generic Surging Floating Wave Energy Converter, (2015), doi: http://dx.doi.org/10.1016/j.ijome.2015.01.005

137-14   A. Najafi-Jilani, M. Zakiri Niri and Nader Naderi, Simulating three dimensional wave run-up over breakwaters covered by antifer units, Int. J. Nav. Archit. Ocean Eng. (2014) 6:297~306

128-14   Dong Chule Kim, Byung Ho Choi, Kyeong Ok Kim and Efim Pelinovsky, Extreme tsunami runup simulation at Babi Island due to 1992 Flores tsunami and Okushiri due to 1993 Hokkido tsunami, Geophysical Research Abstracts, Vol. 16, EGU2014-1341, 2014, EGU General Assembly 2014, © Author(s) 2013. CC Attribution 3.0 License.

123-14   Irkal Mohsin A.R., S. Nallayarasu and S.K. Bhattacharyya, Experimental and CFD Simulation of Roll Motion of Ship with Bilge Keel, International Conference on Computational and Experimental Marine Hydrodynamics MARHY 2014 3-4 December 2014, Chennai, India.

101-14  Dieter Vanneste, Corrado Altomare, Tomohiro Suzuki, Peter Troch and Toon Verwaest, Comparison of Numerical Models for Wave Overtopping and Impact on a Sea Wall, Coastal Engineering 2014

91-14   Fabio Dentale, Giovanna Donnarumma, and Eugenio Pugliese Carratelli, Numerical wave interaction with tetrapods breakwater, Int. J. Nav. Archit. Ocean Eng. (2014) 6:0~0, http://dx.doi.org/10.2478/IJNAOE-2013-0214, ⓒSNAK, 2014, pISSN: 2092-6782, eISSN: 2092-6790

87-14   Philipp Behruzi, Simulation of breaking wave impacts on a flat wall, The 15th International Workshop on Trends In Numerical and Physical Modeling for Industrial Multiphase Flows, Cargèse, Corsica, October 13th–17th, 2014

86-14   Chuan Sim and Sung-uk Choi, Three-Dimensional Scour at Submarine Pipelines under Indefinite Boundary Conditions, 2014

83-14   Hongda Shi, Dong Wang, Jinghui Song, and Zhe Ma, Systematic Design of a Heaving Buoy Wave Energy Device, 5th International Conference on Ocean Energy, 4th November, Halifax, 2014

71-14   Hadi Sabziyan, Hassan Ghassemi, Farhood Azarsina, and Saeid Kazemi, Effect of Mooring Lines Pattern in a Semi-submersible Platform at Surge and Sway Movements, Journal of Ocean Research, 2014, Vol. 2, No. 1, 17-22 Available online at http://pubs.sciepub.com/jor/2/1/4 © Science and Education Publishing DOI:10.12691/jor-2-1-4

56-14   Fernandez-Montblanc, T., Izquierdo, A., and Bethencourt, M., Modelling the oceanographic conditions during storm following the Battle of Trafalgar, Encuentro de la Oceanografıa Fısica Espanola 2014

52-14   Fabio Dentale, Giovanna Donnarumma, and Eugenio Pugliese Carratelli, A new numerical approach to the study of the interaction between wave motion and roubble mound breakwaters, Latest Trends in Engineering Mechanics, Structures, Engineering Geology, ISBN: 978-960-474-376-6

49-14   H. Ahmed and A. Schlenkhoff, Numerical Investigation of Wave Interaction with Double Vertical Slotted Walls, World Academy of Science, Engineering and Technology, International Journal of Environmental, Ecological, Geological and Mining Engineering Vol:8 No:8, 2014

32-14  Richard Keough, Victoria Mullaley, Hilary Sinclair, and Greg Walsh, Design, Fabrication and Testing of a Water Current Energy Device, Memorial University of Newfoundland, Faculty of Engineering and Applied Science, Mechanical Design Project II – ENGI 8926, April 2014

25-14    Paulius Rapalis, Vytautas Smailys, Vygintas Daukšys, Nadežda Zamiatina, and Vasilij Djačkov, Vandens  – Duju Silumos Mainai Gaz-Lifto Tipo Skruberyje,Technologijos mokslo darbai Vakarų Lietuvoje, Vol 9 > Rapalis. Available for download at http://journals.ku.lt/index.php/TMD/article/view/259.

92-13   Matteo Tirindelli, Scott Fenical and Vladimir Shepsis, State-of-the-Art Methods for Extreme Wave Loading on Bridges and Coastal Highways, Seventh National Seismic Conference on Bridges and Highways (7NSC), May 20-22, 2013, Oakland, CA

89-13 Worakanok Thanyamanta, Don Bass and David Molyneux, Prediction of sloshing effects using a coupled non-linear seakeeping and CFD code, Proceedings of the ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2013, June 9-14, 2013, Nantes, France. Available for purchase online at ASME.

83-13   B.W. Lee and C. Lee, Development of Wave Power Generation Device with Resonance Channels, Proceedings of the 7th International Conference on Asian and Pacific Coasts (APAC 2013) Bali, Indonesia, September 24-26, 2013

68-13   Fabio Dentale, Giovanna Donnarumma, and Eugenio Pugliese Carratelli, Rubble Mound Breakwater Run-Up, Reflection and Overtopping by Numerical 3D Simulation, ICE Conference, September 2013, Edinburgh (UK).

66-13  Peter Arnold, Validation of FLOW-3D against Experimental Data for an Axi-Symmetric Point Absorber WEC, © wavebob™, 2013

62-13 Yanan Li, Junwei Zhou, Dazheng Wang and Yonggang Cui, Resistance and Strength Analysis of Three Hulls with ifferent Knuckles, Advanced Materials Research Vols. 779-780 (2013) pp 615-618, © (2013) Trans Tech Publications, Switzerland, doi:10.4028/www.scientific.net/AMR.779-780.615.

61-13  M.R. Soliman, Satoru Ushijima, Nobu Miyagi and Tetsuay Sumi, Density Current Simulation Using Two-Dimensional High Resolution Model, Annuals of Disas. Prev. Res. Inst., Kyoto Univ., No 56 B, 2013.

59-13  Guang Wei Liu, Qing He Zhang, and Jin Feng Zhang, Wave Forces on the Composite Bucket Foundation of Offshore Wind Turbines, Applied Mechanics and Materials, 405-408, 1420, September 2013. Available for purchase online at Scientific.net.

50-13  Joel Darnell and Vladimir Shepsis, Pontoon Launch Analysis, Design and Performance, Ports 2013, © ASCE 2013. Available for purchase online at ASCE.

45-13 Min-chi Li, Numerical Simulation of Wave Overtopping Rate at Sloping Seawalls with Different Configurations of Wave Dissipators, Master’s Thesis: Department of Marine Environment and Engineering, National Sun Yat-Sen University. Abstract only available here: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701113-144919.

22-13  Nahidul Khan, Jonathan Smith, and Michael Hinchey, Models with all the right curves, © Journal of Ocean Technology, The Journal of Ocean Technology, Vol. 8, No. 1, 2013.

20-13  Efim Pelinovsky, Dong-Chul Kim, Kyeong-Ok Kim and Byung-Ho Choi, Three-dimensional simulation of extreme runup heights during the 2004 Indonesian and 2011 Japanese tsunamis, EGU General Assembly 2013, held 7-12 April, 2013 in Vienna, Austria, id. EGU2013-1760. Online at: http://adsabs.harvard.edu/abs/2013EGUGA..15.1760P.

18-13 Dazheng Wang, Fei Ma, and Lei Mei, Optimization of a 17m Catamaran based on the Resistance Performance, Advanced Materials Research Vols. 690-693, pp 3414-3418, © Trans Tech Publications, Switzerland, doi:10.4028/www.scientific.net/AMR.690-693.3414, May 2013.

16-13  Dong Chule Kim, Kyeong Ok Kim, Efim Pelinovsky, Ira Didenkulova, and Byung Ho Choi, Three-dimensional tsunami runup simulation for the port of Koborinai on the Sanriku coast of Japan, Journal of Coastal Research, Special Issue No. 65, 2013.

15-13  Dong Chule Kim, Kyeong Ok Kim, Byung Ho Choi, Kyung Hwan Kim, and Efin Pelinovsky, Three –dimensional runup simulation of the 2004 Ocean tsunami at the Lhok Nga twin peaks, Journal of Coastal Research, Special Issue No. 65, 2013.

14-13  Jae-Seol Shim, Jinah Kim, Dong-Shul Kim, Kiyoung Heo, Kideok Do, and Sun-Jung Park, Storm surge inundation simulations comparing three-dimensional with two-dimensional models based on Typhoon Maemi over Masan Bay of South Korea, Journal of Coastal Research, Special Issue No. 65, 2013.

115-12  Worakanok Thanyamanta and David Molyneux, Prediction of Stabilizing Moments and Effects of U-Tube Anti-Roll Tank Geometry Using CFD, ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering, Volume 5: Ocean Engineering; CFD and VIV, Rio de Janeiro, Brazil, July 1–6, 2012, ISBN: 978-0-7918-4492-2, Copyright © 2012 by ASME

114-12   Dane Kristopher Behrens, The Russian River Estuary: Inlet Morphology, Management, and Estuarine Scalar Field Response, Ph.D. Thesis: Civil and Environmental Engineering, UC Davis, © 2012 by Dane Kristopher Behrens. All Rights Reserved.

111-12  James E. Beget, Zygmunt Kowalik, Juan Horrillo, Fahad Mohammed, Brian C. McFall, and Gyeong-Bo Kim, NEeSR-CR Tsunami Generation by Landslides Integrating Laboratory Scale Experiments, Numerical Models and Natural Scale Applications, George E. Brown, Jr. Network for Earthquake Engineering Simulation Research, July 2012, Boston, MA.

110-12   Gyeong-Bo Kim, Numerical Simulation of Three-Dimensional Tsunami Generation by Subaerial Landslides, M.S. Thesis: Texas A&M University, Copyright 2012 Gyeong-Bo Kim, December 2012

109-12 D. Vanneste, Experimental and Numerical study of Wave-Induced Porous Flow in Rubble-Mound Breakwaters, Ph.D. thesis (Chapters 5 and 6), Faculty of Engineering and Architecture, Ghent University, Ghent (Belgium), 2012.

104-12 Junwoo Choi, Kab Keun Kwon, and Sung Bum Yoon, Tsunami Inundation Simulation of a Built-up Area using Equivalent Resistance Coefficient, Coastal Engineering Journal, Vol. 54, No. 2 (2012) 1250015 (25 pages), © World Scientific Publishing Company and Japan Society of Civil Engineers, DOI: 10.1142/S0578563412500155

94-12 Parviz Ghadimi, Abbas Dashtimanesh, Mohammad Farsi, and Saeed Najafi, Investigation of free surface flow generated by a planing flat plate using smoothed particle hydrodynamics method and FLOW-3D simulations, Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, December 7, 2012 1475090212465235. Available for purchase online at sage journals.

92-12    Panayotis Prinos, Maria Tsakiri, and Dimitris Souliotis, A Numerical Simulation of the WOS and the Wave Propagation along a Coastal Dike, Coastal Engineering 2012.

88-12  Nahidul Khan and Michael Hinchey, Adaptive Backstepping Control of Marine Current Energy Conversion System, PKP Open Conference Systems, IEEE Newfoundland and Labrador Section, 2012.

72-12   F. Dentale, G. Donnarumma, and E. Pugliese Carratelli, Wave Run Up and Reflection on Tridimensional Virtual, Journal of Hydrogeology & Hydrologic Engineering, 2012, 1:1, http://dx.doi.org/10.4172/jhhe.1000102.

64-12  Anders Wedel Nielsen, Xiaofeng Liu, B. Mutlu Sumer, Jørgen Fredsøe, Flow and bed shear stresses in scour protections around a pile in a current, Coastal Engineering, Volume 72, February 2013, Pages 20–38.

56-12  Giancarlo Alfonsi, Agostino Lauria, Leonardo Primavera, Flow structures around large-diameter circular cylinder, Journal of Flow Visualization and Image Processing, 2012. DOI:10.1615/JFlowVisImageProc.2012005088.

51-12  Chun-Ho Chen, Study on the Application of FLOW-3D for Wave Energy Dissipation by a Porous Structure, Master’s Thesis: Department of Marine Environment and Engineering, National Sun Yat-sen University, July 2012. In Chinese.

37-12  Yu-Ren Chen, Numerical Modeling on Internal Solitary Wave propagation over an obstacle using FLOW-3D, Master’s Thesis: Department of Marine Environment and Engineering, National Sun Yat-sen University June 2012. In Chinese.

26-12  D.C. Lo Numerical simulation of hydrodynamic interaction produced during the overtaking and the head-on encounter process of two ships, Engineering Computations: International Journal for Computer-Aided Engineering and Software, Vol. 29 No. 1, 2012. pp. 83-10, Emerald Group Publishing Limited, www.emeraldinsight.com/0264-4401.htm.

14-12  Bahaa Elsharnouby, Akram Soliman, Mohamed Elnaggar, and Mohamed Elshahat, Study of environment friendly porous suspended breakwater for the Egyptian Northwestern Coast, Ocean Engineering 48 (2012) 47-58. Available for purchase online at Science Direct.

11-12  Sang-Ho Oh, Young Min Oh, Ji-Young Kim, Keum-Seok Kang, A case study on the design of condenser effluent outlet of thermal power plant to reduce foam emitted to surrounding seacoast, Ocean Engineering, Volume 47, June 2012, Pages 58–64. Available for purchase online at SciVerse.

101-11 Tsunami – A Growing Disaster, edited by Mohammad Mokhtari, ISBN 978-953-307-431-3, 232 pages, Publisher: InTech, Chapters published December 16, 2011 under CC BY 3.0 license, DOI: 10.5772/922. Available for download at Intech.

100-11 Kwang-Oh Ko, Jun-Woo Choi, Sung-Bum Yoon, and Chang-Beom Park, Internal Wave Generation in FLOW-3D Model, Proceedings of the Twenty-first (2011) International Offshore and Polar Engineering Conference, Maui, Hawaii, USA, June 19-24, 2011, Copyright © 2011 by the International Society of Offshore and Polar Engineers (ISOPE), ISBN 978-1-880653-96-8 (Set); ISSN 1098-6189 (Set); www.isope.org

95-11  S. Brizzolara, L. Savio, M. Viviani, Y. Chen, P. Temarel, N. Couty, S. Hoflack, L. Diebold, N. Moirod and A. Souto Iglesias, Comparison of experimental and numerical sloshing loads in partially filled tanks, Ships and Offshore Structures, Vol. 6, Nos. 1–2, 2011, 15–43. Available for purchase online at Francis & Taylor.

85-11 Andrew Eoghan Maguire, Hydrodynamics, control and numerical modelling of absorbing wavemakers, thesis: The University of Edinburgh, 2011.

74-11  Jonathan Smith, Nahidul Khan and Michael Hinchey, CFD Simulation of AUV Depth Control, Paper presented at NECEC 2011, St. John’s, Newfoundland and Labrador, Canada. Abstract available online.

70-11  G. Kim, S.-H. Oh, K.S. Lee, I.S. Han, J.W. Chae, and S.-J Ahn, Numerical Investigation on Water Discharge Capability of Sluice Caisson of Tidal Power Plant, Proceedings of the Sixth International Conference on Asian and Pacific Coasts (APAC 2011), December 14-16, 2011, Hong Kong, China.

69-11  G. Alfonsi, A. Lauria, and L. Primavera, Wave-Field Flow Structures Developing Around Large-Diameter Vertical Circular Cylinder, Proceedings of the Sixth International Conference on Asian and Pacific Coasts (APAC 2011), December 14-16, 2011, Hong Kong, China.

68-11    C. Lee, B.W. Lee, Y.J. Kim, and K.O. Ko, Ship Wave Crests in Intermediate-Depth Water, Proceedings of the Sixth International Conference on Asian and Pacific Coasts (APAC 2011), December 14-16, 2011, Hong Kong, China.

63-11   Worakanok Thanyamanta, Paul Herrington, and David Molyneux, Wave patterns, wave induced forces and moments for a gravity based structure predicted using CFD, Proceedings of the ASME 2011, 30th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2011, Rotterdam, The Netherlands, June 19-24, 2011.

61-11  Jun Jin and Bo Meng, Computation of wave loads on the superstructures of coastal highway bridges, Ocean Engineering, available online October 19, 2011, ISSN 0029-8018, 10.1016/j.oceaneng.2011.09.029. Available for purchase at Science Direct.

36-11    Nadir Yilmaz, Geoffrey E. Trapp, Scott M. Gagan, Timothy R. Emmerich, CFD Supported Examination of Buoy Design for Wave Energy Conversion, IGEC-VI-2011-173, pp: 537-541

28-11  Rodolfo Bolaños, Laurent O. Amoudry and Ken Doyle, Effects of Instrumented Bottom Tripods on Process Measurements, Journal of Atmospheric and Oceanic Technology, June 2011, Vol. 28, No. 6: pp. 827-837. Available online at: AMS Journals Online.

81-10    Ashwin Lohithakshan Parambath, Impact of Tsunamis on Near Shore Wind Power Units, M.S. Thesis: Texas A&M University, Copyright 2010 Ashwin Lohithakshan Parambath December 2010.

80-10    Juan J. Horrillo, Amanda L. Wood, Charles Williams, Ashwin Parambath, and Gyeong-Bo Kim, Construction of Tsunami Inundation Maps in the Gulf of Mexico, Report to the National Tsunami Hazard Mitigation Program, December 2010.

69-10    George A Aggidis and Clive Mingham, A Joint Numerical and Experimental Study of a Surging Point Absorbing Wave Energy Converter (WRASPA), Joule Centre Research Grant Joint Final Report (Lancaster University and Macnhester Metropolitan University), Joule Grant No: JIRP306/02, 2010

67-10  Kazuhiko Terashima, Ryuji Ito, Yoshiyuki Noda, Yoji Masui and Takahiro Iwasa, Innovative Integrated Simulator for Agile Control Design on Shipboard Crane Considering Ship and Load Sway, 2010 IEEE International Conference on Control Applications, Part of 2010 IEEE Multi-Conference on Systems and Control, Yokohama, Japan, September 8-10, 2010

66-10  Shan-Hwei Ou, Tai-Wen Hsu, Jian-Feng Lin, Jian-Wu Lai, Shih-Hsiang Lin, Chen-Chen Chang, Yuan-Jyh Lan, Experimental and Numerical Studies on Wave Transformation over Artificial Reefs, Proceedings of the International Conference on Coastal Engineering, No 32 (2010), Shanghai, China, 2010.

65-10 Tai-Wen Hsu, Jian-Wu Lai, Yuan-Jyh Lan, Experimental and Numerical Studies on Wave Propagation over Coarse Grained Sloping Beach, Proceedings of the International Conference on Coastal Engineering, No 32 (2010), Shanghai, China, 2010.

26-10 R. Marcer, C. Berhault, C. de Jouëtte, N. Moirod and L. Shen, Validation of CFD Codes for Slamming, V European Conference on Computational Fluid Dynamics, ECCOMAS CFD 2010, J.C.F. Pereira and A. Sequeira (Eds), Lisbon, Portugal, 14-17 June 2010

25-10 J.M. Zhan, Z. Dong, W. Jiang, and Y.S. Li, Numerical Simulation of wave transformation and runup incorporating porous media wave absorber and turbulence models, Ocean Engineering (2010), doi: 10.1016/j.oceaneng.2010.06.005. Available for purchase at Science Direct.

17-10 F. Dentale, S.D. Russo, E. Pugliese Carratelli, S. Mascetti, A New Numerical Approach to Study the Wave Motion with Breakwaters and the Armor Stability, Marine Technology Reporter, May 2010

01-10 F. Dentale, S.D. Russo, E. Pugliese Carratelli, Innovative Numerical Simulation to Study the Fluid withing Rubble Mound Breakwaters and the Armour Stability, 17th Armourstone Wallingford Armourstone Meeting, Wallingford, UK, February 2010.

52-09  Mark Reed, Øistein Johansen, Frode Leirvik, and Bård Brørs, Numerical Algorithm to Compute the Effects of Breaking Waves on Surface Oil Spilled at Sea, Final Report, Second revision, SINTEF, October 2009.

49-09  Anna Pellicioli, Indagine Numerica Sulla Resistenza Idrodinamica Di Uno Scafo In Presenza Di Superficie Libera, thesis: Univerista Degli Studi Di Bergamo, 2008/2009. In Italian. Available upon request.

46-09 Carlos Guedes Soares, P.K. Das, Analysis and Design of Marine Structures, CRC Press; 1 Har/Cdr edition (March 2, 2009), 0415549345

32-09 M.A. Binder, C.G. Mingham, D.M. Causon, M.T. Rahmati, G.A. Aggidis, R.V. Chaplin, Numerical Modelling of a Surging Point Absorber Wave Energy Converter, 8th European Wave and Tidal Energy Conference EWTEC 2009, Uppsala, Sweden, 7-10 September 2009

28-09 D. C. Lo, Dong-Taur Su and Jan-Ming Chen (2009), Application of Computational Fluid Dynamics Simulations to the Analysis of Bank Effects in Restricted Waters, Journal of Navigation, 62, pp 477-491, doi:10.1017/S037346330900527X; Purchase the article online (clicking on this link will take you to the Cambridge Journals website).

26-09 Fabio Dentale, E. Pugliese Carratelli, S.D. Russo, and Stefano Mascetti, Advanced Numerical Simulations on the Interaction between Waves and Rubble Mound Breakwaters, Journal of the Engineering Association for Offshore and Marine in Italy, (translation from the Italian)

25-09 F. Dentale, B. Messina, E. Pugliese Carratelli, S. Mascetti, Studio numerico avanzato sul moto di filtrazione in ambito marittimo, A & C, Analisi e Calcolo, Giugno 2009 (in Italian)

22-09 M.A. Bhinder, C.G. Mingham, D.M. Causon, M.T. Rahmati, G.A. Aggidis and R.V. Chaplin, A Joint Numerical And Experimental Study Of a Surging Point Absorbing Wave Energy Converter (WRASPA)2, Proceedings of the ASME 28th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2009-79392, Honolulu, Hawaii, May 31-June 5, 2009

8-09 Basu, D., S. Green, K. Das, R. Janetzke, and J. Stamatakos, Numerical Simulation of Surface Waves Generated by a Subaerial Landslide at Lituya Bay, 28th International Conference on Ocean, Offshore and Arctic Engineering, May 31–June 5, 2009, Honolulu, Hawaii

17-09 Das, K., R. Janetzke, D. Basu, S. Green, and J. Stamatakos, Numerical Simulations of Tsunami Wave Generation by Submarine and Aerial Landslides Using RANS and SPH Models, 28th International Conference on Ocean, Offshore and Arctic Engineering, May 31–June 5, 2009, Honolulu, Hawaii

16-09 Basu, D., S. Green, K. Das, R. Janetzke, and J. Stamatakos, Navier-Stokes Simulations of Surface Waves Generated by Submarine Landslides Effect of Slide Geometry and Turbulence, 2009 Society of Petroleum Engineering Americas E&P Environmental & Safety Conference, March 23–25, 2009, San Antonio, Texas.

48-08    Osamu Kiyomiya1 and Kazuya Kuroki, Flap Gate to Prevent Urban Area from Tsunami, The 14th World Conference on Earthquake Engineering, October 12-17, 2008, Beijing, China

43-08  Eldina Fatimah, Ahmad Khairi Abd. Wahab, and Hadibah Ismail, Numerical modeling approach of an artificial mangrove root system (ArMs) submerged breakwater as wetland habitat protector, COPEDEC VII, Dubai UAE, 2008.

40-08 Giacomo Viccione, Fabio Dentale, and Vittorio Bovolin, Simulation of Wave Impact Pressure on Vertical Structures with the SPH Method, 3rd ERCOFTAC SPHERIC workshop on SPH applications, Laussanne, Switzerland, June 4-6, 2008.

39-08 Kang, Young-Seung, Kim, Pyeong-Joong, Hyun, Sang-Kwon and Sung, Ha-Keun, Numerical Simulation of Ship-induced Wave Using FLOW-3D, Journal of Korean Society of Coastal and Ocean Engineers / v.20, no.3, 2008, pp.255-267, ISSN: 1976-8192, http://ksci.kisti.re.kr/search/article/articleView.ksci?articleBean.artSeq=HOHODK_2008_v20n3_255

35-08 B.W. Nam, S.H. Shin, K.Y. Hong, S.W. Hong, Numerical Simulation of Wave Flow over the Spiral-Reef Overtopping Device, Proceedings of the Eighth (2008) ISOPE Pacific/Asia Offshore Mechanics Symposium, Bangkok, Thailand, November 10-14, 2008, © 2008 by The International Society of Offshore and Polar Engineers, ISBN 978-1-880653-52-4

34-08 B. H. Choi, E. Pelinovsky, D.C. Kim, I. Didenkulova and S.-B. Woo, Two and three-dimensional computation of solitary wave runup on non-plane beach, Nonlin. Processes Geophys., 15, 489-502, 2008, www.nonlin-processes-geophys.net/15/489/2008 (c) Author(s) 2008.

23-08 Barb Schmitz, Tecplot, Nastran & FLOW-3D Win the Race, Desktop Engineering’s Elements of Analysis, September 2008

38-07 Choi, B.-H., Kim, D. C., Pelinovsky, E., and Woo, S. B., Three-dimensional simulation of tsunami run-up around conical island, Coast. Eng., Vol. 54, Issue 8, 618-629, 2007.

33-07 Mirela Zalar, Sime Malenica, Zoran Mravak, Nicolas Moirod, Some Aspects of Direct Calculation Methods for the Assessment of LNG Tank Structure Under Sloshing Impacts, La Asociación Española del Gas (sedigas) Spain 2007

20-07 Oceanic Consulting Corporation, Berthing Studies for LNG Carriers in the Calcasieu River Waterway, Making Waves: Newsletter of Oceanic Consulting Corporation, Winter 2007

10-07 Gildas Colleter, Breaking wave uplift and overtopping on a horizontal deck using physical and numerical modeling, Coasts and Ports 2007 Conference in Melbourne, Australia

18-06 Brizzolara, Stefano and Rizzuto, Enrico, Wind Heeling Moments on Very Large Ships. Some Insights through CFD Results, Proceedings on the 9th International Conference on Stability of Ships and Ocean Vehicles, Rio de Janeiro, September 25, 2006

16-06 Ransau, Samuel R, and Hansen, Ernst W.M., Numerical Simulations of Sloshing in Rectangular Tanks, Proceedings of OMAE2006, 25th International Conference on Offshore Mechanics and Arctic Engineering, Hamburg, Germany, June 4-9, 2006

15-06 Ema Muk-Pavic, Shin Chin and Don Spencer, Validation of the CFD code FLOW-3D for the free surface flow around the ships’; hulls, 14th Annual Conference of the CFD Society of Canada, Kingston, Canada, July 16-18, 2006

3-06 Hansen, E.W.M. and Geir J. Rørtveit, Numerical Simulation of Fluid Mechanisms and Separation Behaviour in Offshore Gravity Separators, Chapter 16 in Emulsions and Emulsion Stability, 2nd Edition, edited by Johan Sjøblom, Taylor & Francis, 2006

24-05 Hansen E.W., Separation Offshore Survey – Design-Redesign of Gravity Separators, Exploration & Production: The Oil & Gas Review 2005 – Issue 2

8-05 T. Kristiansen, R. Baarholm, C.T. Stansberg, G. Rortveit and E.W.M. Hansen, Kinematics in a Diffracted Wave Field Particle Image Velocimetry (PIV) and Numerical Models, Presented at the 24th International Conference on Offshore Mechanics and Arctic Engineering, OMAE 67176, Halkidiki, Greece, June 12-17, 2005

7-05 C.T. Stansberg, R. Baarholm, T. Kristiansen, E.W.M. Hansen and G. Rortveit, Extreme Wave Amplification and Impact Loads on Offshore Structures, presented at the 2005 Offshore Technology Conference, Houston, TX, May 2-5, 2005

16-04 Carl Trygve Stansberg, Kjetil Berget, Oyvind Hellan, Ole A. Hermundstad, Jan R. Hoff and Trygve Kristiansen and Ernst Hansen, Prediction of Green Sea Loads on FPSO in Random Seas, presented at the 14th International Offshore and Polar Engineering Conference (ISOPE 2004), Toulon, France, May 2004

15-04 Š. Malenica, M. Zalar, J.M. Orozco, B. LeGallo & X.B. Chen, Linear and Non-Linear Effects of Sloshing on Ship Motions, 23rd International Conference on Offshore Mechanics and Artic Engineering, OMAE 2004, Vancouver, June 2004

11-04 Don Bass, David Molyneux, Kevin McTaggart, Simulating Wave Action in the Well Deck of Landing Platform Dock Ships Using Computational Fluid Dynamics

37-03  Sreenivasa C Chopakatla, A CFD Model for Wave Transformations and Breaking in the Surf Zone, thesis: Master of Science, The Ohio State Univeristy, 2003.

29-02   O. Bayle, V. L’Hullier, M. Ganet, P. Delpy, J.L. Francart and D. Paris, Influence of the ATV Propellant Sloshing on the GNC Performance, AIAA Guidance, Navigation, and Control Conference and Exhibit, Monterey, California, 5-8 August 2002, © 2002 by EADS Launch Vehicles

25-02 Y. Kim, Numerical Analysis of Sloshing Problem, American Bureau of Shipping, Research Dept, Houston, TX

10-02 Peter Chang III & Xiongjun Wu, Entrainment Correlations Based on a Fuel-Water Stratified Shear Flow, Proceedings of FEDSM2002, 2002 ASME Fluids Engineering Decision Summer Meeting, July 14-18, 2002, Montreal, Quebec, Canada

37-01 Ismail B. Celik, Allen E. Badeau Jr., Andrew Burt and Sherif Kandil, A Single Fluid Transport Model For Computation of Stratified Immiscible Liquid-Liquid Flows, Mechanical and Aerospace Engineering Department, West Virginia University, Proceedings of the XXIX IAHR Congress, September 2001. Beijing, China

14-01 Charles Ortloff, CTC/United Defense, Computer Simulation Analyzed Typhoon Damage to FPSOs, Marine News, April 30, 2001, pp. 22-23

8-01 Charles Ortloff, Computer Simulations Analyze Wave Damage to Offloading Vessels, Marine News, April 30, 2001, pp. 22-23

25-00 Faltinsen, O.A. and Rognebakke, O.F., Sloshing in Rectangular Tanks and Interaction with Ship Motions-Sloshing, Int. Conf. on Ship and Shipping Research NAV, Venice, Italy, 2000.

20-97   C.R. Ortloff, Numerical Test Tank Simulation of Ocean Engineering Problems by Computational Fluid Dynamics, Offshore Technology Conference Paper 8269B, Houston, TX, 1997

19-97   C.R. Ortloff and M. Krafft, Numerical Test Tanks-Computer Simulation-Test Verification of Major Ocean Engineering Problems for the Off-Shore Oil Industry, OTC 8269A, Offshore Technology Conference, Copyright 1997, Houston, Texas, May 1997

9-94 P. A. Chang, C-W Lin, CD-NSWC, Hydrodynamic Analysis of Oil Outflow from Double Hull Tankers, The Advanced Double-Hull Technical Symposium, Gaithersburg, MD, October 25-26, 1994.

8-90 C. W. Hirt, Computational Modeling of Cavitation, Flow Science report, July 1990, presented at the 2nd International Symposium on Performance Enhancement for Marine Applications, Newport, RI, October 14-16, 1990

10-87 H. W. Meldner, USA’s Revolutionary Appendages and CFD, CORDTRAN Corp. Report presented at AIAA and SNAME 17th Annual International Symposium on Sailing, Stanford University, Palo Alto, CA, Oct. 31-Nov. 1, 1987

3-85 C. W. Hirt and J. M. Sicilian, A Porosity Technique for the Definition of Obstacles in Rectangular Cell Meshes, Fourth International Conference on Ship Hydrodynamics, Washington, DC, September 1985

Water & Environmental Bibliography

다음은 수자원 및 환경 분야에 대한 참고 문 기술 문서 모음입니다.
이 모든 논문은 FLOW-3D  해석 결과를 사용하였습니다. FLOW-3D  를 사용하여 수처리 및 환경 산업을 위한 응용 프로그램을 성공적으로 시뮬레이션하는 방법에 대해 자세히 알아보십시오.

Water and Environmental Bibliography

2024년 11월 20일 Update

118-24 Lei Liao, Jia Li, Min Chen, Ruidong An, Effects of hydraulic cues in barrier environments on fish navigation downstream of dams, Journal of Environmental Management, 365; 121495, 2024. doi.org/10.1016/j.jenvman.2024.121495

115-24 H. Liu, Y.G. Cheng, Z.Y. Yang, J. Zhang, J.Y. Fan, W.X. Li, Effect of uneven inflow on hydrodynamic performance of bulb turbine, Journal of Physics: Conference Series, 2752; 012032, 2024. doi.org/10.1088/1742-6596/2752/1/012032

112-24 Jian Guo, Bowen Weng, Jiyi Wu, Investigation of the energy loss in cylindrical bridge piers scour depth prediction on sand-bed, Ocean Engineering, 309.1; 118513, 2024. doi.org/10.1016/j.oceaneng.2024.118513

110-24 Siyu Chen, Xiyen Liu, Junyao Tang, Ying Gao, Tianyou Zhang, Linhao Gu, Tao Ma, Can Chen, Study on the influence of design parameters of porous asphalt pavement on drainage performance, Journal of Hydrology, 638; 131514, 2024. doi.org/10.1016/j.jhydrol.2024.131514

108-24 Abubaker Sami Dheyab, Mustafa Günal, Experimental and numerical study for local scour around cylindrical bridge pier in non-cohesive sediment bed, 4th International Congress of Engineering and Natural Sciences (ICENSS), 2024.

106-24 P. Asabian, C.D. Rennie, N. Egsgard, Experimental and numerical investigation of the flow-structure of river surf waves, River Flow 2022, eds. Ana Maria Ferreira da Silva, Colin Rennie, Susan Gaskin, Jay Lacey, Bruce MacVicar, 2024.

105-24 M. Cihan Aydin, Ali Emre Ulu, Ercan Işık, Nizamettin Hamidi, An experimental and numerical investigation of hydraulic performance of in-channel triangular labyrinth weir for free overflow, ISH Journal of Hydraulic Engineering, pp. 1-10, 2024. doi.org/10.1080/09715010.2024.2363224

103-24 Yazhou Wang, Jinrong Da, Yuchen Luo, Sirui He, Zuocong Tian, Ziyi Xue, Zehao Li, Xianyu Zhao, Desheng Yin, Hui Peng, Xiang Liu, Xiaoning Liu , Minimization of heavy metal adsorption in struvite through effective separation and manipulation of flow field, Journal of Hazardous Materials, 474; 134820, 2024. doi.org/10.1016/j.jhazmat.2024.134820

101-24 Davut Yilmaz, Tugce Basar, Arzu Ozkaya, Assessing the pressure variation in the plunge pool of Yusufeli dam, Dams and Reservoirs, 2024. doi.org/10.1680/jdare.2024.1

99-24 Azim Turan, High resolution flash flood forecasting by combining a hydrometeorological modeling system with a computational fluid dynamics model, Thesis, Middle East Technical University, 2024.

97-24 Umut Aykan, Numerical investigation of vortex formation at single and multiple symmetric horizontal intakes, Thesis, Middle East Technical University, 2024.

91-24 Di Wang, Xiaoyong Cheng, Zhixuan Cao, Jinyun Deng, Three-dimensional flow structure in a confluence-bifurcation unit, Engineering Applications of Computational Fluid Mechanics, 18.1; 2024. doi.org/10.1080/19942060.2024.2349076

86-24 M.Z. Qamar, M.K. Verma, A.P. Meshram, Physical and numerical modelling for settling efficiency of desilting chamber, ISH Journal of Hydraulic Engineering, 30.3; 2024. doi.org/10.1080/09715010.2024.2345338

85-24 Ruichen Xu, Duane C. Chapman, Caroline M. Elliott, Bruce C. Call, Robert B. Jacobson, Binbin Wang, Ecological inferences on invasive carp survival using hydrodynamics and egg drift models, Scientific Reports, 14; 9556, 2024. doi.org/10.1038/s41598-024-60189-1

84-24 M. Cihan Aydin, Ali Emre Ulu, Ercan Işik, Experimental and numerical investigation of rectangular labyrinth weirs in an open channel, Water Management , 2024. doi.org/10.1680/jwama.22.00112

76-24 Chyan-Deng Jan, Litan Dey, Slump-flow channel test for evaluating the relations between spreading and rheological parameters of sediment mixtures, European Journal of Mechanics – B/Fluids, 106; pp. 137-147, 2024. doi.org/10.1016/j.euromechflu.2024.04.005

74-24 Abhishek K. Pandey, Pranab K. Mohapatra, 3D numerical simulations of the bed evolution at an open-channel junction in flood conditions, Journal of Irrigation and Drainage Engineering, 150.3; 2024. doi.org/10.1061/JIDEDH.IRENG-10321

70-24 Jianing Rao, Qi Wei, Lian Tang, Yuanming Wang, Ruifeng Liang, Kefeng Li, A design of a nature-like fishway to solve the fractured river connectivity caused by small hydropower based on hydrodynamics and fish behaviors, Environmental Science and Pollution Research, 31; pp. 27883-27896, 2024. doi.org/10.1007/s11356-024-33034-1

69-24 M. Cihan Aydin, Ali Emre Ulu, Ercan Işık, Determination of effective flow behaviors on discharge performance of trapezoidal labyrinth weirs using numerical and physical models, Modeling Earth Systems and Environment, 10; pp. 3763-3776, 2024. doi.org/10.1007/s40808-024-01996-3

62-24 Ramtin Sabeti, Mohammad Heidarzadeh, Estimating maximum initial wave amplitude of subaerial landslide tsunamis: A three-dimensional modelling approach, Ocean Modelling, 189; 102360, 2024. doi.org/10.1016/j.ocemod.2024.102360

60-24 Mahdi Ebrahimi, Mirali Mohammadi, Sayed Mohammad Hadi Meshkati, Farhad Imanshoar, Embankment dams overtopping breach: A numerical investigation of hydraulic results, Iranian Journal of Science and Technology: Transactions of Civil Engineering, 2024. doi.org/10.1007/s40996-024-01387-9

59-24 Behshad Mardasi, Rasoul Ilkhanipour Zeynali, Majid Heydari, Conducting experimental and numerical studies to analyze the impact of the base nose shape on flow hydraulics in PKW weir using FLOW-3D, Journal of Hydraulic Structures, 9.4; pp. 88-113, 2024. doi.org/10.22055/JHS.2024.45888.1284

58-24 Ramtin Sabeti, Mohammad Heidarzadeh, Alessandro Romano, Gabriel Barajas Ojeda, Javier L. Lara, Three-dimensional simulations of subaerial landslide-generated waves: Comparing OpenFOAM and FLOW-3D HYDRO models, Pure and Applied Geophysics, 181; pp. 1075-1093, 2024. doi.org/10.1007/s00024-024-03443-x

56-24 Ali Poorkarimi, Khaled Mafakheri, Shahrzad Maleki, Effect of inlet and baffle position on the removal efficiency of sedimentation tank using FLOW-3D software, Journal of Hydraulic Structures, 9.4; pp. 76-87, 2024. doi.org/10.22055/jhs.2024.44817.1265

55-24 P Sujith Nair, Aniruddha D. Ghare, Ankur Kapoor, An approach to hydraulic design of conical central baffle flumes, Flow Measurement and Instrumentation, 97; 102573, 2024. doi.org/10.1016/j.flowmeasinst.2024.102573

54-24 Isabelle Cheff, Julie Taylor, Andrew Mitchell, Kathleen Horita, Darren Shepherd, Steven Rintoul, Rob Millar, Evaluating uncertainty in debris flood modelling for the design of a steep built channel, EGU General Assembly, EGU24-20781, 2024. doi.org/10.5194/egusphere-egu24-20781

53-24 Antonija Harasti, Gordon Gilja, Josip Vuco, Jelena Boban, Manousos Valyrakis, Temporal development of the scour hole next to the riprap sloping structure, EGU General Assembly, EGU24-10349, 2024. doi.org/10.5194/egusphere-egu24-10349

52-24 Gordon Gilja, Antonija Harasti, Dea Delija, Iva Mejašić, Manousos Valyrakis, Change in flow field next to riprap sloping structure caused by variability of scoured bathymetry, EGU General Assembly, EGU24-10417, 2024. doi.org/10.5194/egusphere-egu24-10417

49-24 Mehdi Hamidi, Mehran Sadeqlu, Ali Mahdian Khalili, Investigating the design and arrangement of dual submerged vanes as mitigation countermeasure of bridge pier scour depth using a numerical approach, Ocean Engineering, 299; 117270, 2024. doi.org/10.1016/j.oceaneng.2024.117270

48-24 Yingying Wang, Mouchao Lv, Wen’e Wang, Ming Meng, Discharge formula and hydraulics of rectangular side weirs in the small channel and field inlet, Water, 16.5; 713, 2024. doi.org/10.3390/w16050713

45-24 José Saldanha Matos, Filipa Ferreira, Lisbon Master Plans and nature-based solutions, Urban Green Spaces – New Perspectives for Urban Resilience, Eds. Cristina M. Monteiro, Cristina Santos, Cristina Matos, Ana Briga Sá. doi.org/10.5772/intechopen.113870

44-24 Muhanad Al-Jubouri, Richard P. Ray, Enhancing pier local scour prediction in the presence of floating debris, Pollack Periodica, 2024. doi.org/10.1556/606.2023.00952

42-24 Huanquan Yang, Jiabao Ma, Xueying Liu, Numerical simulation research on energy dissipation characteristics of fish scale weir, ES3 Web of Conferences, 490; 03005, 2024. doi.org/10.1051/e3sconf/202449003005

39-24 Henry-John Wright, Investigation of novel deflector shapes for uncontrolled spillways, Thesis, Stellenbosch University, 2024.

37-24 Filipe Romão, Ana L. Quaresma, Joana Simão, Francisco J. Bravo-Córdoba, Teresa Viseu, José M. Santos, Francisco J. Sanz-Ronda, António N. Pi, Debating the rules: an experimental approach to assess cyprinid passage performance thresholds in vertical slot fishways, Water, 16.3; 439, 2024. doi.org/10.3390/w16030439

36-24 Berkay Erat, Efe Barbaros, Kerem Taştan, Experimental and numerical investigation on flow and scour upstream of pipe intake structures, Arabian Journal for Science and Engineering, 49; pp. 5973-5987, 2024. doi.org/10.1007/s13369-023-08539-5

31-24 Mahmoud T. Ghonim, Ashraf Jatwary, Magdy H. Mowafy, Martina Zelenakova, Hany F. Abd-Elhamid, H. Omara, Hazem M. Eldeeb, Estimating the peak outflow and maximum erosion rate during the breach of embankment dam, Water, 16.3; 399, 2024. doi.org/10.3390/w16030399

30-24 Deli Qiu, Jiangdong Xu, Hai Lin, Numerical analysis of the overtopping failure of the tailings dam model based on inception similarity optimization, Applied Sciences, 14.3; 990, 2024. doi.org/10.3390/app14030990

29-24 Tino Kostić, Yuanjie Ren, Stephan Theobald, 3D-CFD analysis of bedload transport in channel bifurcations, Journal of Hydroinformatics, 26.2; 480, 2024. doi.org/10.2166/hydro.2024.175

28-24 Chenhao Zhang, Xin Li, Renyu Zhou, Bernard A. Engel, Yubao Wang, Hydraulic characteristics and flow measurement performance of portable primary and subsidiary fish-shaped flumes in U-shaped channels, Flow Measurement and Instrumentation, 96; 102539, 2024. doi.org/10.1016/j.flowmeasinst.2024.102539

23-24   Arash Ahmadi, Amir H. Azimi, Effects of ramp slope and discharge on hydraulic performance of submerged hump weirs, Flow Measurement and Instrumentation, 96; 102520, 2024. doi.org/10.1016/j.flowmeasinst.2023.102520

20-24   Parisa Mirkhorli, Amir Ghaderi, Forough Alizadeh Sanami, Mirali Mohammadi, Alban Kuriqi, An investigation on hydraulic aspects of rectangular labyrinth pool and weir fishway using FLOW-3D, Arabian Journal for Science and Engineering, 2024. doi.org/10.1007/s13369-023-08537-7

17-24   Veysi Kartal, M. Emin Emiroglu, Numerical simulation of the flow passing through the side weir-gate, Flow Measurement and Instrumentation, 95; 102519, 2024. doi.org/10.1016/j.flowmeasinst.2023.102519

16-24   Junqi Chen, Wen Zhang, Chen Cao, Han Yin, Jia Wang, Wankun Li, Yanhao Zheng, The effect of the check dam on the sediment transport and control in debris flow events, Engineering Geology, 329; 107397, 2024. doi.org/10.1016/j.enggeo.2023.107397

15-24   Jingxin Mao, Yijun Wang, Hao Zhang, Xiaofei Jing, Study on the influence of urban water supply pipeline leakage on the scouring failure law of cohesive soil subgrade, Water, 16.1; 93, 2024. doi.org/10.3390/w16010093

13-24   Ramtin Sabeti, Mohammad Heidarzadeh, Alessandro Romano, Gabriel Barajas Ojeda, Javier L. Lara, Three-dimensional simulations of subaerial landslide-generated wave: comparing OpenFOAM and FLOW-3D HYDRO models, Pure and Applied Geophysics, 2024. doi.org/10.1007/s00024-024-03443-x

12-24   Damoon Mohammad Ali Nezhadian, Hossein Hamidifar, Effects of floating debris on flow characteristics around slotted bridge piers: a numerical simulation, Water, 16.1; 90, 2024. doi.org/10.3390/w16010090

10-24   Zhong Gao, Jinpeng Liu, Wen He, Bokai Lu, Manman Wang, Zikai Tang, Study of a tailings dam failure pattern and post-failure effects under flooding conditions, Water, 16.1; 68, 2024. doi.org/10.3390/w16010068

9-24   Yilin Yang, Jinzhao Li, Waner Zou, Benshuang Chen, Numerical investigation of flow and scour around complex bridge piers in wind-wave-current conditions, Journal of Marine Science and Engineering, 12.1; 23, 2024. doi.org/10.3390/jmse12010023

7-24   Penfeng Li, Haixiao Jing, Guodong Li, Generation and prediction of water waves induced by rigid piston-like landslide, Natural Hazards, 120; pp. 2683-2704, 2024. doi.org/10.1007/s11069-023-06300-7

6-24   Jie-yuan Zhang, Xing-Guo Yang, Gang Fan, Hai-bo Li, Jia-wen Zhou, Physical and numerical modeling of a landslide dam breach and flood routing process, Journal of Hydrology, 628; 130552, 2024. doi.org/10.1016/j.jhydrol.2023.130552

241-23 Kamyab Habibi, Farinaz Erfani Fard, Seyed Amin Asghari Pari, Investigation of the flow field around bridge piers on a non-eroding bed using FLOW-3D, 22nd Iranian Conference on Hydraulics, 2023.

240-23 Dong Hyun Kim, Su-Hyun Yang, Sung Sik Joo, Seung Oh Lee, Analysis of flow velocity in the channel according to the type of revetments blocks using 3D numerical model, Journal of Korean Society of Disaster and Security, 16.4; pp. 9-18, 2023.

238-23 Mohamed Elberry, Abdelazim Ali, Fahmy Abdelhaleem, Amir Ibrahim, Numerical investigations of stilling basin efficiency downstream radial gates – A case study of New Assuit Barrage, Egypt, Journal of Water and Land Development, 59 (X-XII); pp. 126-134, 2023. doi.org/10.24425/jwld.2023.147237

237-23 Oğuzhan Uluyurt, Numerical investigation of energy dissipation using macro roughness elements in a stilling basin, Thesis, Middle East Technical University, 2023.

236-23   Mohamed Galal Eltarabily, Mohamed Kamel Elshaarawy, Mohamed Elkiki, Tarek Selim, Computational fluid dynamics and artificial neural networks for modelling lined irrigation canals with low-density polyethylene and cement concrete liners, Irrigation and Drainage, 2023. doi.org/10.1002/ird.2911

234-23   Saman Baharvand, Babak Lashkar-Ara, Hydrodynamic and biological assessment of modified meander C-type fishway to pass rainbow trout (Oncorhynchus mykiss) fish species, Scientia Iranica, 2023.

232-23   Chung R. Song, Richard L. Wood, Basil Abualshar, Bashar Al-Nimri, Mark O’Brien, Mitra Nasimi, Erosion resistant rock shoulder, Nebraska Department of Transportation, Final Report SPR-P1(20), 2023.

230-23   Rongzhao Zhang, Wen Xiong, Xiaolong Ma, C.S. Cai, A forensic investigation of progressive bridge collapse under floods and asymmetric scour validated by incident video footages, Structure and Infrastructure Engineering, 2023. doi.org/10.1080/15732479.2023.2290701

229-23   Vivek Sharma Jai, Hydraulic simulation and numerical investigation of the flow in the stepped spillway with the help of FLOW-3D software, International Journal of Innovative Science and Research Technology, 8; 2023. doi.org/10.5281/zenodo.8076943

228-23   Hao Chen, Yang Tang, Jinyuan Li, Faxin Zhu, Xianbin Teng, The influence of impinging distance variable on the effect of submerged jet scour, Journal of Physics: Conference Series, 2660; 012004, 2023. doi.org/10.1088/1742-6596/2660/1/012004

225-23   Kyle Thomson, Towards safer bridges: Overcoming 2D model limitations and reducing flood risks through computational fluid dynamics, IPWEA Annual Conference Gold Coast, 2023.

223-23   Chong-xun Wang, Jia-wen Zhou, Chang-bing Zhang, Yu-xiang Hu, Hao Chen, Hai-bo Li, Failure mechanism analysis and mass movement assessment of a post‑earthquake high slope, Arabian Journal of Geosciences, 16; 683, 2023. doi.org/10.1007/s12517-023-11737-y

222-23   Alaa Ghzayel, Anthony Beaudoin, Sébastien Jarny, Three-dimensional numerical study of a local scour downstream of a submerged sluice gate using two hydro-morphodynamic models, SedFoam and FLOW-3D, Comptes Rendus. Mécanique, 351.G2; pp. 525-550, 2023. doi.org/10.5802/crmeca.223

221-23   Othon José Rocha, Luiz Renato Martini Filho, Caio Gripp Benevente, Letícia Imbuzeiro, Modelagem CFD-3D aplicada ao setor de mineração (3D CFD modeling applied to the mining sector), 34th Seminario Nacional de Grandes Barragens, 2023.

220-23   Gaetano Crispino, David Dorthe, Corrado Gisonni, Michael Pfister, Optimal hydraulic design of supercritical bend manholes, Proceedings of the 40th IAHR World Congress, Eds. Helmut Habersack, Michael Tritthart, Lisa Waldenberger, 2023. doi.org/10.3850/978-90-833476-1-5_iahr40wc-p0090-cd

218-23   Arun Goel, Aditya Thakare, M.K. Verma, M.Z. Qamar, Evaluation of design approaches of desilting basins for hydroelectric projects in Himalayan region, ISH Journal of Hydraulic Engineering, 30.1; pp. 122-131, 2023. doi.org/10.1080/09715010.2023.2283593

215-23   Ahmed Ashour, Emam Salah, Numerical study of energy dissipation in baffled stepped spillway using FLOW-3D, International Journal of Research in Engineering, Science and Management, 6.11; 2023.

214-23   Farshid Mosaddeghi, Mete Koken, Ismail Aydin, Finite volume analysis of dam breaking subjected to earthquake accelerations, Journal of Hydraulic Research, 61.6; pp. 845-865, 2023. doi.org/10.1080/00221686.2023.2259858

213-23   Habib Ahmari, Ashish Bhurtyal, Srinivas Prabakar, Qazi Ashique Mowla, Saman Baharvand, Hassan Alsaud, Laboratory testing of engineered media for biofiltration swales, University of Texas Arlington, Project No. TRN6835 Final Report, 2023.

209-23   Cong Trieu Tran, Cong Ty Trinh, Prediction of the vortex evolution and influence analysis of rough bed in a hydraulic jump with the Omega-Liutex method, Tehnički Vjesnik, 30.6; 2023. doi.org/10.17559/TV-20230206000327

203-23   Muhammad Waqas Zaffar, Ishtiaq Hassan, Zulfiqar Ali, Kaleem Sarwar, Muhammad Hassan, Muhammad Taimoor Mustafa, Faizan Ahmed Waris, Numerical investigation of hydraulic jumps with USBR and wedge-shaped baffle block basins for lower tailwater, AQUA – Water Infrastructure, Ecosystems and Society, 72.11; 2081, 2023. doi.org/10.2166/aqua.2023.261

201-23   E.F.R. Bollaert, Digital cloud-based platform to predict rock scour at high-head dams, Role of Dams and Reservoirs in a Successful Energy Transition, Eds. Robert Boes, Patrice Droz, Raphael Leroy, 2023. doi.org/10.1201/9781003440420

200-23   Iacopo Vona, Oysters’ integration on submerged breakwaters as nature-based solution for coastal protection within estuarine environments, Thesis, University of Maryland, 2023.

198-23   Hao Chen, Xianbin Teng, Zhibin Zhang, Faxin Zhu, Jie Wang, Zhaohao Zhang, Numerical analysis of the influence of the impinging distance on the scouring efficiency of submerged jets, Fluid Dynamics & Materials Processing, 20.2; pp. 429-445, 2023. doi.org/10.32604/fdmp.2023.030585

193-23   Chen Peng, Liuweikai Gu, Qiming Zhong, Numerical simulation of dam failure process based on FLOW-3D, Advances in Frontier Research on Engineering Structures, pp. 545-550, 2023. doi.org/10.3233/ATDE230245

189-23   Rebecca G. Englert, Age J. Vellinga, Matthieu J.B. Cartigny, Michael A. Clare, Joris T. Eggenhuisen, Stephen M. Hubbard, Controls on upstream-migrating bed forms in sandy submarine channels, Geology, 51.12; PP. 1137-1142, 2023. doi.org/10.1130/G51385.1

187-23   J.W. Kim, S.B. Woo, A numerical approach to the treatment of submerged water exchange processes through the sluice gates of a tidal power plant, Renewable Energy, 219.1; 119408, 2023. doi.org/10.1016/j.renene.2023.119408

186-23   Chan Jin Jeong, Hyung Jun Park, Hyung Suk Kim, Seung Oh Lee, Study on fish-friendly flow characteristic in stepped fishway, Proceedings of the Korean Water Resources Association Conference, 2023. (In Korean)

185-23   Jaehwan Yoo, Sedong Jang, Byunghyun Kim, Analysis of coastal city flooding in 2D and 3D considering extreme conditions and climate change, Proceedings of the Korean Water Resources Association Conference, 2023. (In Korean)

180-23   Prathyush Nallamothu, Jonathan Gregory, Jordan Leh, Daniel P. Zielinski, Jesse L. Eickholt, Semi-automated inquiry of fish launch angle and speed for hazard analysis, Fishes, 8.10; 476, 2023. doi.org/10.3390/fishes8100476

179-23   Reza Norouzi, Parisa Ebadzadeh, Veli Sume, Rasoul Daneshfaraz, Upstream vortices of a sluice gate: an experimental and numerical study, AQUA – Water Infrastructure, Ecosystems and Society, 72.10; 1906, 2023. doi.org/10.2166/aqua.2023.269

178-23   Bai Hao Li, How Tion Puay, Muhammad Azfar Bin Hamidi, Influence of spur dike’s angle on sand bar formation in a rectangular channel, IOP Conference Series: Earth and Environmental Science, 1238; 012027, 2023. doi.org/10.1088/1755-1315/1238/1/012027

177-23   Hao Zhe Khor, How Tion Puay, Influence of gate lip angle on downpull forces for vertical lift gates, IOP Conference Series: Earth and Environmental Science, 1238; 012019, 2023. doi.org/10.1088/1755-1315/1238/1/012019

175-23   Juan Francisco Macián-Pérez, Rafael García-Bartual, P. Amparo López-Jiménez, Francisco José Vallés-Morán, Numerical modeling of hydraulic jumps at negative steps to improve energy dissipation in stilling basins, Applied Water Science, 13.203; 2023. doi.org/10.1007/s13201-023-01985-4

174-23   Ahintha Kandamby, Dusty Myers, Narrows bypass chute CFD analysis, Dam Safety, 2023.

173-23   H. Jalili, R.C. Mahon, M.F. Martinez, J.W. Nicklow, Sediment sluicing from the reservoirs with high efficiency, SEDHYD, 2023.

170-23   Ramith Fernando, Gangfu Zhang, Beyond 2D: Unravelling bridge hydraulics with CFD modelling, 24th Queensland Water Symposium, 2023.

169-23   K. Licht, G. Lončar, H. Posavčić, I. Halkijević, Short-time numerical simulation of ultrasonically assisted electrochemical removal of strontium from water, 18th International Conference on Environmental Science and Technology (CEST), 2023.

166-23   Ebrahim Hamid Hussein Al-Qadami, Mohd Adib Mohammad Razi, Wawan Septiawan Damanik, Zahiraniza Mustaffa, Eduardo Martinez-Gomariz, Fang Yenn Teo, Anwar Ameen Hezam Saeed, Understanding the stability of passenger vehicles exposed to water flows through 3D CFD modelling, Sustainability, 15.17; 13262, 2023. doi.org/10.3390/su151713262

165-23   Ebrahim Hamid Hussein Al-Qadami, Mohd Adib Mohammad Razi, Wawan Septiawan Damanik, Zahiraniza Mustaffa, Eduardo Martinez-Gomariz, Fang Yenn Teo, Anwar Ameen Hezam Saeed, 3-dimensional numerical study on the critical orientation of the flooded passenger vehicles, Engineering Letters, 31.3; 2023.

159-23 Ruosi Zha, Weiwen Zhao, Decheng Wan, Numerical study of wave-ice floe interactions and overwash by a meshfree particle method, Ocean Engineering, 286.2; 115681, 2023. doi.org/10.1016/j.oceaneng.2023.115681

157-23 Hamidreza Abbaszadeh, Kiyoumars Roushangar, Zahra Salahpour, Theoretical and numerical investigation of the sluice and radial gates discharge coefficient in the conditions of sill application, Iranian Journal of Irrigation and Drainage, 2023.

155-23 Ting Zhang, Qunwei Dai, Dejun An, R. Agustin Mors, Qiongfang Li, Ricardo A. Astini, Jingwen He, Jie Cui, Ruiyang Jiang, Faqin Dong, Zheng Dang, Effective mechanisms in the formation of pool-rimstone dams in continental carbonate systems: The case study of Huanglong, China, Sedimentary Geology, 455; 106486, 2023. doi.org/10.1016/j.sedgeo.2023.106486

153-23 Jyh-Haw Tang, Aisyah Puspasari, Numerical simulation of scouring around four cylindrical piles with different inclination angles arrangements, Proceedings of the 4th International Conference on Advanced Engineering and Technology (ICATECH), 1; pp. 139-145, 2023. doi.org/10.5220/0012115500003680

152-23 Yasser El-Saie, Osama Saleh, Marihan El-Sayed, Abdelazim Ali, Eslam El-Tohamy, Yasser Mohamed Sadek, Dissipation of water energy by using a special stilling basin via three-dimensional numerical model, The Open Civil Engineering Journal, 17; 2023.

150-23 Shelby J. Koldewyn, Using computational fluid dynamics for predicting hydraulic performance of arced labyrinth weirs, Thesis, Utah State University, 2023.

146-23 Lav Kumar Gupta, Manish Pandey, P. Anand Raj, Numerical modeling of scour and erosion processes around spur dike, CLEAN Soil Air Water, 2023. doi.org/10.1002/clen.202300135

145-23 Nariman Mehranfar, Morteza Kolahdoozan, Shervin Faghihirad, Development of multiphase solver for the modeling of turbidity currents (the case study of Dez Dam), International Journal of Multiphase Flow, 168; 104586, 2023. doi.org/10.1016/j.ijmultiphaseflow.2023.104586

143-23 Fei Ma, Lei You, Jin Liu, Estimation in jet deflection angle of deflector on the chutes, ISH Journal of Hydraulic Engineering, 2023. doi.org/10.1080/09715010.2023.2241416

142-23 Ali Emre Ulu, M. Cihan Aydin, Fevzi Önen, Energy dissipation potentials of grouped spur dikes in an open channel, Water Resources Management, 37; pp. 4491-4506, 2023. doi.org/10.1007/s11269-023-03571-4

141-23 Haofei Feng, Shengtao Du, David Z. Zhu, Numerical study of effects of flushing gate height and sediment bed properties on cleaning efficiency in a simplified self-cleaning device, Water Science & Technology, 88.3; pp. 542-555, 2023. doi.org/10.2166/wst.2023.245

140-23 Brian Fox, 3D CFD modeling with FLOW-3D HYDRO, Proceedings, SEDHYD, 2023.

139-23 Masoumeh (Negar) Ghahramani, Improved empirical and numerical predictive modelling of potential tailings dam breaches and their downstream impacts, Thesis, The University of British Columbia, 2023.

138-23 Rui-Tao Yin, Bing Zhu, Shuai-Wei Yuan, Jun-Nan Li, Zhen-Yu Yang, Zhi-Ying Yang, Dynamic analyses of long-span cable-stayed and suspension cooperative system bridge under combined actions of wind and regular wave loads, Applied Ocean Research, 138; 103683, 2023. doi.org/10.1016/j.apor.2023.103683

137-23 Xuefeng Chen, Shikang Liu, Yuanming Wang, Yuetong Hao, Kefeng Li, Hongtao Wang, Ruifeng Liang, Restoration of a fish-attracting flow field downstream of a dam based on the swimming ability of endemic fishes: A case study in the upper Yangtze River basin, Journal of Environmental Management, 345; 118694, 2023. doi.org/10.1016/j.jenvman.2023.118694

135-23 Nelson Cely Calixto, Melquisedec Cortés Zambrano, Alberto Galvis Castaño, Gustavo Carrillo Soto, Analysis of a three-dimensional numerical modeling approach for predicting scour processes in longitudinal walls of granular bedding rivers, EUREKA: Physics and Engineering, 4; 2023. doi.org/10.21303/2461-4262.2023.002682

134-23 Tarek Selim, Abdelrahman Kamal Hamed, Mohamed Elkiki, Mohamed Galal Eltarabily, Numerical investigation of flow characteristics and energy dissipation over piano key and trapezoidal labyrinth weirs under free-flow conditions, Modeling Earth Systems and Environment, 2023. doi.org/10.1007/s40808-023-01844-w

132-23 Gang Lei, Hongbao Huang, Xiongan Fan, Junan Su, Qingxiang Wang, Xiaoliang Wang, Kai Peng, Jianmin Zhang, Influence of the transition section shape on the cavitation characteristics of the bottom outlet, Water Supply, 23.8; pp. 3061-3077, 2023. doi.org/10.2166/ws.2023.181

129-23 Rasoul Daneshfaraz, Reza Norouzi, John Patrick Abraham, Parisa Ebadzadeh, Behnaz Akhondi, Maryam Abar, Determination of flow characteristics over sharp-crested triangular plan form weirs using numerical simulation, Water Science, 37.1; 2023. doi.org/10.1080/23570008.2023.2236384

124-23 Imad Habeeb Obead, Ahmed Rahim Sahib, Mathematical models for simulating the hydraulic behavior of flow deflectors: laboratory and CFD-based study, Innovative Infrastructure Solutions, 8; 213, 2023. doi.org/10.1007/s41062-023-01170-1

120-23 Kwang-Su Kim, Jong-Song Jo, Improving the power output estimation for a tidal power plant: a case study, Energy, 2023. doi.org/10.1680/jener.23.00007

119-23 Hanif Pourshahbaz, Tadros Ghobrial, Ahmad Shakibaeinia, Evaluating a CFD model for three-dimensional simulation of ice structure interaction, CGU HS Committee on River Ice Processes and the Environment (CRIPE), 22nd Workshop on the Hydraulics of Ice-Covered Rivers, 2023.

118-23 Sruthi T. Kalathil, Venu Chandra, Experimental and numerical investigation on the hydraulic design criteria for a step-pool nature-like fishway, Progress in Physical Geography: Earth and Environment, 2023. doi.org/10.1177/03091333231187619

117-23 Lav Kumar Gupta, Manish Pandey, P. Anand Raj, Numerical simulation of local scour around the pier with and without airfoil collar (AFC) using FLOW-3D, Environmental Fluid Mechanics, 2023. doi.org/10.1007/s10652-023-09932-2

116-23 Paolo Peruzzo, Matteo Cappozzo, Nicola Durighetto, Gianluca Botter, Local processes with a global impact: unraveling the dynamics of gas evasion in a step-and-pool configuration, Biogeosciences, 20; pp. 3261-3271, 2023. doi.org/10.5194/bg-20-3261-2023

114-23 Muhammad Waqas Zaffar, Ishtiaq Hassan, Numerical investigation of hydraulic jump for different stilling basins using FLOW-3D, AQUA – Water Infrastructure, Ecosystems and Society, 72.7; pp. 1320-1343, 2023. doi.org/10.2166/aqua.2023.290

112-23 J. Chandrashekhar Iyer, E.J. James, Indispensability of model studies in the design of settling basins of hydropower projects in river basins with high sediment yield, Fluid Mechanics and Hydraulics, pp. 367-381, 2023. doi.org/10.1007/978-981-19-9151-6_30

110-23 Ehsan Afaridegan, Nosratollah Amanian, Abbas Parsaie, Amin Gharehbaghi, Hydraulic investigation of modified semi-cylindrical weirs, Flow Measurement and Instrumentation, 93; 102405, 2023. doi.org/10.1016/j.flowmeasinst.2023.102405

103-23 Jin Yang, Weqiang Su, Binhua Li, Calculation of natural alluvial separation of sandy tailings slurry based on FLOW-3D, Mechanics in Engineering, 45.3; pp. 559-564, 2023.

101-23 Tutku Ezgi Yönter, Modeling of river flow and flow dynamics near junctions, Thesis, Middle East Technical University, 2023.

99-23 Mohammad Sadeghpour, Mohammad Vaghefi, Seyed Hamed Meraji, Artificial roughness dimensions and their influence on bed topography variations downstream of a culvert: An experimental study, Water Resources Management, 37; pp. 4143-4157, 2023. doi.org/10.1007/s11269-023-03543-8

98-23 M. Aksel, Numerical analysis of the flow structure around inclined solid cylinder and its effect on bed shear stress distribution, Journal of Applied Fluid Mechanics, 16.8; pp. 1627-1639, 2023. doi.org/10.47176/jafm.16.08.1697

96-23 Waqed H. Hassan, Nidaa Ali Shabat, Numerical investigation of the optimum angle for open channel junction, Civil Engineering Journal, 9.5; 2023. doi.org/10.28991/CEJ-2023-09-05-07

94-23 Emad Khanahmadi, Amir Ahmad Dehghani, Seyed Nasrollah Alenabi, Navid Dehghani, Edward Barry, Hydraulic of curved type-B piano key weirs characteristics under free flow conditions, Modeling Earth Systems and Environment, 2023. doi.org/10.1007/s40808-023-01790-7

93-23 Laura-Louise Alicke, Improved priming of a siphon spillway with the use of a flexible membrane researched through numerical modeling, Thesis, Idaho State University, 2023.

91-23 Wahidullah Hakim Safi, Pranab K. Mohapatra, Flow past: An artificial channel confluence with mobile bed, World Environmental and Water Resources Congress, 2023. doi.org/10.1061/9780784484852.023

86-23 Ghasem Aghashirmohammadi, Mohammad Heidarnejad, Mohammad Hossein Purmohammadi, Alireza Masjedi, Experimental and numerical study the effect of flow splitters on trapezoidal and triangular labyrinth weirs, Water Science, 37.1; 2023. doi.org/10.1080/23570008.2023.2210391

84-23 Nikolaos Xafoulis, Evangelia Farsirotou, Spyridon Kotsopoulos, Three-dimensional computational flow dynamics analysis of free-surface flow in a converging channel, Energy Systems, 2023. doi.org/10.1007/s12667-023-00575-2

83-23 Navid Zarrabi, Mohammad Navid Moghim, Mohammad Reza Eftakhar, A semi-analytical study of fiber reinforced concrete abrasion-erosion through water-borne sand-jet flow in hydraulic structures, Tribology International, 185; 108568, 2023. doi.org/10.1016/j.triboint.2023.108568

82-23 Somayyeh Saffar, Abbas Safaei, Farnoush Aghaee Daneshvar, Mohsen Solimani Babarsad, FLOW-3D numerical modeling of converged side weir, Iranian Journal of Science and Technology: Transactions of Civil Engineering, 2023. doi.org/10.1007/s40996-023-01077-y

79-23 Wangshu Wei, Optimization of the mixing in a produced water storage tank using CFD, World Environmental and Water Resources Congress, Eds. Sajjad Ahmad, Regan Murray, 2023. doi.org/10.1061/9780784484852

77-23   Paolo Peruzzo, Matteo Cappozzo, Nicola Durighetto, Gianluca Botter, Local processes with global impact: unraveling the dynamics of gas evasion in a step-and-pool configuration, Biogeosciences, 2023. doi.org/10.5194/bg-2023-68

74-23   Kaywan Othman Ahmed, Nazim Nariman, Dara Muhammad Hawez, Ozgur Kisi, Ata Amini, Predicting and optimizing the influenced parameters for culvert outlet scouring utilizing coupled FLOW 3D-surrogate modeling, Iranian Journal of Science and Technology: Transactions of Civil Engineering, 47; pp. 1763-1776, 2023. doi.org/10.1007/s40996-023-01096-9

73-23   Ashkan Pilbala, Mahmood Shafai Bejestan, Seyed Mohsen Sajjadi, Luigi Fraccarollo, Investigation of the different models of elliptical-Lopac gate performance under submerged flow conditions, Water Resources Management, 2023. doi.org/10.1007/s11269-023-03512-1

69-23   Chonoor Abdi Chooplou, Masoud Ghodsian, Davoud Abediakbar, Aram Ghafouri, An experimental and numerical study on the flow field and scour downstream of rectangular piano key weirs with crest indentations, Innovative Infrastructure Solutions, 8; 140, 2023. doi.org/10.1007/s41062-023-01108-7

68-23   Mahmood Shafai Bajestan, Mostafa Adineh, Hesam Ghodousi, Numerical modeling of sediment washing (flushing) in dams (Case study of Sefidrood dam), Journal of Irrigation Sciences and Engineering, 2023.

65-23   Charles R. Ortloff, CFD investigations of water supply and distribution systems of ancient old and new world archaeological sites to recover ancient water engineering technologies, Water, 15.7; 1363, 2023. doi.org/10.3390/w15071363

63-23   Rasoul Daneshfaraz, Reza Norouzi, Parisa Ebadzadeh, Alban Kuriqi, Effect of geometric shapes of chimney weir on discharge coefficient, Journal of Applied Water Engineering and Research, 2023. doi.org/10.1080/23249676.2023.2192977

59-23   Hongbo Mi, Chuan Wang, Xuanwen Jia, Bo Hu, Hongliang Wang, Hui Wang, Yong Zhu, Hydraulic characteristics of continuous submerged jet impinging on a wall by using numerical simulation and PIV experiment, Sustainability, 15.6; 5159, 2023. doi.org/10.3390/su15065159

58-23   O.P. Maurya, K.K. Nandi, S. Modalavalasa, S. Dutta, Flow hydrodynamics influences due to flood plain sand mining in a meandering channel, Sustainable Environment (NERC 2022), Eds. D. Deka, S.K. Majumder, M.K., Purkait, 2023. doi.org/10.1007/978-981-19-8464-8_16

57-23   Harshvardhan Harshvardhan, Deo Raj Kaushal, CFD modelling of local scour and flow field around isolated and in-line bridge piers using FLOW-3D, EGU General Assembly, EGU23-3820, 2023. doi.org/10.5194/egusphere-egu23-3820

54-23   Reza Nematzadeh, Gholam-Abbas Barani, Ehsan Fadaei-Kermani, Numerical investigation of bed-load changes on sediment flushing cavity, Journal of Hydraulic Structures, 4; 2023. doi.org/10.22055/jhs.2023.42542.1237

53-23   Rasoul Daneshfaraz, Reza Norouzi, Parisa Ebadzadeh, Alban Kuriqi, Influence of sill integration in labyrinth sluice gate hydraulic performance, Innovative Infrastructure Solutions, 8.118; 2023. doi.org/10.1007/s41062-023-01083-z

52-23   Shu Jiang, Yutong Hua, Mengxing He, Ying-Tien Lin, Biyun Sheng, Effect of a circular cylinder on hydrodynamic characteristics over a strongly curved channel, Sustainability, 15.6; 4890, 2023. doi.org/10.3390/su15064890

51-23   Ehsan Aminvash, Kiyoumars Roushangar, Numerical investigation of the effect of the frontal slope of simple and blocky stepped spillway with sem-circular crest on its hydraulic parameters, Iranian Journal of Irrigation and Drainage, 17.1; pp. 102-116, 2023.

50-23   Shizhuang Chen, Anchi Shi, Weiya Xu, Long Yan, Huanling Wang, Lei Tian, Wei-Chau Xie, Numerical investigation of landslide-induced waves: a case study of Wangjiashan landslide in Baihetan Reservoir, China, Bulletin of Engineering Geology and the Environment, 82.110; 2023. doi.org/10.1007/s10064-023-03148-w

49-23   Jiří Procházka, Modelling flow distribution in inlet galleries, VTEI, 1; 2023. doi.org/10.46555/VTEI.2022.11.002

47-23   M. Cihan Aydin, Ali Emre Ulu, Numerical investigation of labyrinth‑shaft spillway, Applied Water Science, 13.89; 2023. doi.org/10.1007/s13201-023-01896-4

46-23   Guangwei Lu, Jinxin Liu, Zhixian Cao, Youwei Li, Xueting Lei, Ying Li, A computational study of 3D flow structure in two consecutive bends subject to the influence of tributary inflow in the middle Yangtze River, Engineering Applications of Computational Fluid Mechanics, 17.1; 2183901, 2023. doi.org/10.1080/19942060.2023.2183901

44-23   Xun Huang, Zhijian Zhang, Guoping Xiang, Sensitivity analysis of a built environment exposed to the synthetic monophasic viscous debris flow impacts with 3-D numerical simulations, Natural Hazards and Earth Systems Sciences, 23; pp. 871-889, 2023. doi.org/10.5194/nhess-23-871-2023

43-23   Yisheng Zhang, Jiangfei Wang, Qi Zhou, Haisong Li, Wei Tang, Investigation of the reduction of sediment deposition and river flow resistance around dimpled surface piers, Environmental Science and Pollution Research, 2023. doi.org/10.1007/s11356-023-26034-0

41-23   Nejib Hassen Abdullahi, Zulfequar Ahmad, Experimental and CFD studies on the flow field and bed morphology in the vicinity of a sediment mining pit, EGU General Assembly, 2023. doi.org/10.5194/egusphere-egu23-446

40-23   Seonghyeon Ju, Jongchan Yi, Junho Lee, Jiyoon Kim, Chaehwi Lim, Jihoon Lee, Kyungtae Kim, Yeojoon Yoon, High-efficiency microplastic sampling device improved using CFD analysis, Sustainability, 15.5; 3907, 2023. doi.org/10.3390/su15053907

37-23   Muhammad Waqas Zaffar, Ishtiaq Hassan, Hydraulic investigation of stilling basins of the barrage before and after remodelling using FLOW-3D, Water Supply, 23.2; pp. 796-820, 2023. doi.org/10.2166/ws.2023.032

35-23   Mehmet Cihan, Ali Emre Ulu, Developing and testing a novel pressure-controlled hydraulic profile for siphon-shaft spillways, Flow Measurement and Instrumentation, 90; 102332, 2023. doi.org/10.1016/j.flowmeasinst.2023.102332

28-23   Yuhan Li, Deshen Chen, Yan Zhang, Hongliang Qian, Jiangyang Pan, Yinghan Huang, Boo Cheong Khoo, Thermal structure and hydrodynamic analysis for a new type of flexible temperature-control curtain, Journal of Hydrology, 618; 129170, 2023. doi.org/10.1016/j.jhydrol.2023.129170

22-23   Rong Lu, Wei Jiang, Jingjing Xiao, Dongdong Yuan, Yupeng Li, Yukai Hou, Congcong Liu, Evaluation of moisture migration characteristics of permeable asphalt pavement: Field research, Journal of Environmental Management, 330; 117176, 2023. doi.org/10.1016/j.jenvman.2022.117176

18-23   Thu Hien-T. Le, Van Chien Nguyen, Cong Phuc Dang, Thanh Thin-T. Nguyen, Bach Quynh-T. Pham, Ngoc Thoa Le, Numerical assessment on hydraulic safety of existing conveyance structures, Modeling Earth Systems and Environment, 2023. doi.org/10.1007/s40808-022-01685-z

17-23   Meysam Nouri, Parveen Sihag, Ozgur Kisi, Mohammad Hemmati, Shamsuddin Shahid, Rana Muhammad Adnan, Prediction of the discharge coefficient in compound broad-crested weir gate by supervised data mining techniques, Sustainability, 15.1; 433, 2023. doi.org/10.3390/su15010433

16-23   Mohammad Bananmah, Mohammad Reza Nikoo, Mehrdad Ghorbani Mooselu, Amir H. Gandomi, Optimum design of the chute-flip bucket system using evolutionary algorithms considering conflicts between decision-makers, Expert Systems with Applications, 216; 119480, 2023. doi.org/10.1016/j.eswa.2022.119480

13-23   Xiaoyu Yi, Wenkai Feng, Botao Li, Baoguo Yin, Xiujun Dong, Chunlei Xin, Mingtang Wu, Deformation characteristics, mechanisms, and potential impulse wave assessment of the Wulipo landslide in the Baihetan reservoir region, China, Landslides, 20; pp. 615-628, 2023. doi.org/10.1007/s10346-022-02010-6

11-23 Şebnem Elçi, Oğuz Hazar, Nisa Bahadıroğlu, Derya Karakaya, Aslı Bor, Destratification of thermally stratified water columns by air diffusers, Journal of Hydro-environment Research, 46; pp. 44-59, 2023. doi.org/10.1016/j.jher.2022.12.001

7-23 Shikang Liu, Yuxiang Jian, Pengcheng Li, Ruifeng Liang, Xuefeng Chen, Yunong Qin, Yuanming Wang, Kefeng Li, Optimization schemes to significantly improve the upstream migration of fish: A case study in the lower Yangtze River basin, Ecological Engineering, 186; 106838, 2023. doi.org/10.1016/j.ecoleng.2022.106838

6-23 Maryam Shahabi, Javad Ahadiyan, Mehdi Ghomeshi, Marjan Narimousa, Christos Katopodis, Numerical study of the effect of a V-shaped weir on turbulence characteristics and velocity in V-weir fishways, River Research and Applications, 2023. doi.org/10.1002/rra.4064

5-23 Muhammad Nur Aiman Bin Roslan, Hee Min Teh, Faris Ali Hamood Al-Towayti, Numerical simulations of wave diffraction around a low-crested semicircular breakwater, Proceedings of the 5th International Conference on Water Resources (ICWR), Lecture Notes in Civil Engineering, 293.1; pp. 421-433, 2023. doi.org/10.1007/978-981-19-5947-9_34

4-23 V.K. Krishnasamy, M.H. Jamal, M.R. Haniffah, Modelling of wave runup and overtopping over Accropode II breakwater, Proceedings of the 5th International Conference on Water Resources (ICWR), Lecture Notes in Civil Engineering, 293.1; pp. 435-444, 2023. doi.org/10.1007/978-981-19-5947-9_35

3-23 Anas S. Ghamam, Mohammed A. Abohatem, Mohd Ridza Bin Mohd Haniffah, Ilya K. Othman, The relationship between flow and pressure head of partially submerged orifice through CFD modelling using Flow-3D, Proceedings of the 5th International Conference on Water Resources (ICWR), Lecture Notes in Civil Engineering, 293.1; pp. 235-250, 2023. doi.org/10.1007/978-981-19-5947-9_20

2-23 M.Y. Zainab, A.L.S. Zebedee, A.W. Ahmad Khairi, I. Zulhilmi, A. Shahabuddin, Modelling of an embankment failure using Flow-3D, Proceedings of the 5th International Conference on Water Resources (ICWR), Lecture Notes in Civil Engineering, 293.1; pp. 273-282, 2023. doi.org/10.1007/978-981-19-5947-9_23

1-23 Gaetano Crispino, David Dorthe, Corrado Gisonni, Michael Pfister, Hydraulic capacity of bend manholes for supercritical flow, Journal of Irrigation and Drainage Engineering, 149.2; 2022. doi.org/10.1061/JIDEDH.IRENG-10014

178-22 Greg Collecutt, Urs Baeumer, Shuang Gao, Bill Syme, Bridge deck afflux modelling — benchmarking of CFD and SWE codes to real-world data, Hydrology & Water Resources Symposium, 2022.

177-22 Kyle Thomson, Mitchell Redenbach, Understanding cone fishway flow regimes with CFD, Hydrology & Water Resources Symposium, 2022.

176-22 Kyle Thomson, Practical application of CFD for fish passage design, Hydrology & Water Resources Symposium, 2022.

173-22 Melquisedec Cortés Zambrano, Helmer Edgardo Monroy González, Wilson Enrique Amaya Tequia, Three-dimensional numerical evaluation of hydraulic efficiency and discharge coefficient in grate inlets, Environmental Research, Engineering and Management, 78.4; 2022. doi.org/10.5755/j01.erem.78.4.31243

168-22 Mohammad Javadi Rad, Pedram Eshaghieh Firoozbadi, Fatemeh Rostami, Numerical investigation of the effect dimensions of rectangular sedimentation tanks on its hydraulic efficiency using Flow-3D Software, Acta Technica Jaurinensis, 15.4; 2022. doi.org/10.14513/actatechjaur.00672

165-22 Saman Mostafazadeh-Fard, Zohrab Samani, Dissipating culvert end design for erosion control using CFD platform FLOW-3D numerical simulation modeling, Journal of Pipeline Systems Engineering and Practice, 14.1; 2022. doi.org/10.1061/JPSEA2.PSENG-1373

164-22 Mohammad Ahmadi, Alban Kuriqi, Hossein Mohammad Nezhad, Amir Ghaderi, Mirali Mohammadi, Innovative configuration of vertical slot fishway to enhance fish swimming conditions, Journal of Hydrodynamics, 34; pp. 917-933, 2022. doi.org/10.1007/s42241-022-0071-y

160-22 Serife Yurdagul Kumcu, Kamil Ispir, Experimental and numerical modeling of various energy dissipator designs in chute channels, Applied Water Science, 12; 266, 2022. doi.org/10.1007/s13201-022-01792-3

154-22 Usama Majeed, Najam us Saqib, Muhammad Akbar, Numerical analysis of energy dissipator options using computational fluid dynamics modeling — a case study of Mirani Dam, Arabian Journal of Geosciences, 15; 1614, 2022. doi.org/10.1007/s12517-022-10888-8

151-22 Meibao Chen, Xiaofei Jing, Xiaohua Liu, Xuewei Huang, Wen Nie, Multiscale investigations of overtopping erosion in reinforced tailings dam induced by mud-water mixture overflow, Geofluids, 7209176, 2022. doi.org/10.1155/2022/7209176

150-22   Daniel Damov, Francis Lepage, Michel Tremblay, Arian Cueto Bergner, Marc Villaneuve, Frank Scarcelli, Gord McPhail, Calabogie GS redevelopment—Capacity upgrade and hydraulic design, CDA Annual Conference, Proceedings, 2022.

147-22   Hien T.T. Le, Chien Van Nguyen, Duc-Hau Le, Numerical study of sediment scour at meander flume outlet of boxed culvert diversion work, PLoS One, 17.9; e0275347, 2022. doi.org/10.1371/journal.pone.0275347

140-22   Jackson Tellez-Alvarez, Manuel Gómez, Beniamino Russo, Numerical simulation of the hydraulic behavior of stepped stairs in a metro station, Advances in Hydroinformatics, Eds. P. Gourbesville, G. Caignaert, pp. 1001-1009, 2022. doi.org/10.1007/978-981-19-1600-7_62

139-22   Juan Yu, Keyao Liu, Anbin Li, Mingfei Yang, Xiaodong Gao, Xining Zhao, Yaohui Cai, The effect of plug height and inflow rate on water flow characteristics in furrow irrigation, Agronomy, 12; 2225, 2022. doi.org/10.3390/agronomy12092225

138-22   Nejib Hassen Abdullahi, Zulfequar Ahmad, Flow and morphological characteristics in mining pits of a river through numerical and experimental modeling, Modeling Earth Systems and Environment, 2022. doi.org/10.1007/s40808-022-01530-3

137-22   Romain N.H.M. Van Mol, Christian Mörtl, Azin Amini, Sofia Siachou, Anton Schleiss, Giovanni De Cesare, Plunge pool scour and bank erosion: assessment of protection measures for Ilarion dam by physical and numerical modelling, HYDRO 2022, Proceedings, 27.02, 2022.

136-22   Yong Cheng, Yude Song, Chunye Liu, Wene Wang, Xiaotao Hu, Numerical simulation research on the diversion characteristics of a trapezoidal channel, Water, 14.17; 2706, 2022. doi.org/10.3390/w14172706

135-22   Zegao Yin, Yao Li, Jiahao Li, Zihan Zheng, Zihan Ni, Fuxiang Zheng, Experimental and numerical study on hydrodynamic characteristics of a breakwater with inclined perforated slots under regular waves, Ocean Engineering, 264; 112190, 2022. doi.org/10.1016/j.oceaneng.2022.112190

133-22   Azin Amini, Martin Wickenhauser, Azad Koliji, Three-dimensional numerical modelling of Al-Salam storm water pumping station in Saudi Arabia, 39th IAHR World Congress, 2022. doi.org/10.3850/IAHR-39WC2521716X20221013

131-22   Alireza Koshkonesh, Mohammad Daliri, Khuram Riaz, Fariba Ahmadi Dehrashid, Farhad Bahmanpouri, Silvia Di Francesco, Dam-break flow dynamics over a stepped channel with vegetation, Journal of Hydrology, 613.A; 128395, 2022. doi.org/10.1016/j.jhydrol.2022.128395

129-22   Leona Repnik, Samuel Vorlet, Mona Seyfeddine, Asin Amini, Romain Dubuis, Giovanni De Cesare, Pierre Bourqui, Pierre-Adil Abdelmoula, Underground flow section modification below the new M3 Flon Metro station in Lausanne, Advances in Hydroinformatics, Eds. P. Gourbesville, G. Caignaert, pp. 979-999, 2022. doi.org/10.1007/978-981-19-1600-7_61

127-22   Qin Panpan, Huang Bolin, Li Bin, Chen Xiaoting, Jiang Xiannian, Hazard analysis of landslide blocking a river in Guang’an Village, Wuxi County, Chongqing, China, Landslides, 2022. doi.org/10.1007/s10346-022-01943-2

124-22   Vaishali P. Gadhe, S.R. Patnaik, M.R. Bhajantri, V.V. Bhosekar, Physical and numerical modeling of flow pattern near upstream guide wall of Jigaon Dam spillway, Maharashtra, River and Coastal Engineering, Water Science and Technology Library 117; pp. 237-247, 2022. doi.org/10.1007/978-3-031-05057-2_21

123-22   M.Z. Qamar, M.K. Verma, A.P. Meshram, Neena Isaac, Numerical simulation of desilting chamber using Flow 3D, River and Coastal Engineering, Water Science and Technology Library 117; pp. 177-186, 2022. doi.org/10.1007/978-3-031-05057-2_16

122-22   Abbas Parsaie, Saleh Jaafer Suleiman Shareef, Amir Hamzeh Haghiabi, Raad Hoobi Irzooki, Rasul M. Khalaf, Numerical simulation of flow on circular crested stepped spillway, Applied Water Science, 12; 215, 2022. doi.org/10.1007/s13201-022-01737-w

121-22   Kazuki Kikuchi, Hajime Naruse, Morphological function of trace fossil Paleodictyon: An approach from fluid simulation, Paleontological Research, 26.4; pp. 378-389, 2022. doi.org/10.2517/PR210001

120-22   Najam us Saqib, Muhammad Akbar, Huali Pan, Guoqiang Ou, Numerical investigation of pressure profiles and energy dissipation across the stepped spillway having curved treads using FLOW 3D, Arabian Journal of Geosciences, 15; 1363, 2022. doi.org/10.1007/s12517-022-10505-8

116-22   Ayşegül Özgenç Aksoy, Mustafa Doğan, Semire Oğuzhan Güven, Görkem Tanır, Mehmet Şükrü Güney, Experimental and numerical investigation of the flood waves due to partial dam break, Iranian Journal of Science and Technology: Transactions of Civil Engineering, 2022. doi.org/10.1007/s40996-022-00919-5

115-22   Abdol Mahdi Behroozi, Mohammad Vaghefi, Experimental and numerical study of the effect of zigzag crests with various geometries on the performance of A-type piano key weirs, Water Resources Management, 2022. doi.org/10.1007/s11269-022-03261-7

114-22   Xun Huang, Zhijian Zhang, Guoping Xiang, Sensitivity analysis of a built environment exposed to debris flow impacts with 3-D numerical simulations, Natural Hazards and Earth Systems Sciences, 2022. doi.org/10.5194/nhess-2022-173

113-22   Ahmad Ferdowsi, Mahdi Valikhan-Anaraki, Saeed Farzin, Sayed-Farhad Mousavi, A new combination approach for optimal design of sedimentation tanks based on hydrodynamic simulation model and machine learning algorithms, Physics and Chemistry of the Earth, 103201, 2022. doi.org/10.1016/j.pce.2022.103201

103-22   Wangshu Wei, Optimization of the mixing in produced water (PW) retention tank with computational fluid dynamics (CFD) modeling, Produced Water Society Permian Basin, 2022.

100-22   Michael Rasmussen, Using computational fluid dynamics to predict flow through the West Crack Breach of the Great Salt Lake railroad causeway, Thesis, Utah State University, 2022.

99-22   Emad Khanahmadi, Amir Ahmad Dehghani, Mehdi Meftah Halaghi, Esmaeil Kordi, Farhad Bahmanpouri, Investigating the characteristic of hydraulic T-jump on rough bed based on experimental and numerical modeling, Modeling Earth Systems and Environment, 2022. doi.org/10.1007/s40808-022-01434-2

97-22   Andrea Franco, A multidisciplinary approach for landslide-generated impulse wave assessment in natural mountain basins from a cascade analysis perspective, Thesis, University of Innsbruck, 2022.

96-22   Geng Li, Binbin Wang, Simulation of the flow field and scour evolution by turbulent wall jets under a sluice gate, Journal of Hydro-environment Research, 43; pp. 22-32, 2022. doi.org/10.1016/j.jher.2022.06.002

95-22   Philippe April LeQuéré, Ioan Nistor, Abdolmajid Mohammadian, Stefan Schimmels, Hydrodynamics and associated scour around a free-standing structure due to turbulent bores, Journal of Waterway, Port, Coastal, and Ocean Engineering, 148.5; 2022.

94-22   Ramtin Sobhkhiz Foumani, Alireza Mardookhpour, Numerical simulation of geotechnical effects on local scour in inclined pier group with Flow-3D software, Water Resources Engineering Journal, 15.52; 2022. doi.org/10.30495/wej.2021.20404.2114

92-22   Geng Li, Binbin Wang, Caroline M. Elliott, Bruce C.Call, Duane C. Chapman, Robert B. Jacobson, A three-dimensional Lagrangian particle tracking model for predicting transport of eggs of rheophilic-spawning carps in turbulent rivers, Ecological Modelling, 470; 110035, 2022. doi.org/10.1016/j.ecolmodel.2022.110035

91-22   Ebrahim Hamid Hussein Al-Qadami, Zahiraniza Mustaffa, Mohamed Ezzat Al-Atroush, Eduardo Martinez-Gomariz, Fang Yenn Teo, Yasser El-Husseini, A numerical approach to understand the responses of passenger vehicles moving through floodwaters, Journal of Flood Risk Management, 2022. doi.org/10.1111/jfr3.12828

90-22   Jafar Chabokpour, Hazi Md Azamathulla, Numerical simulation of pollution transport and hydrodynamic characteristics through the river confluence using FLOW 3D, Water Supply, 2022. doi.org/10.2166/ws.2022.237

88-22   Michael Rasmussen, Som Dutta, Bethany T. Neilson, Brian Mark Crookston, CFD model of the density-driven bidirectional flows through the West Crack Breach in the Great Salt Lake causeway, Water, 13.17; 2423, 2022. doi.org/10.3390/w13172423

84-22   M. Sobhi Alasta, Ahmed Shakir Ali Ali, Saman Ebrahimi, Muhammad Masood Ashiq, Abubaker Sami Dheyab, Adnan AlMasri, Anass Alqatanani, Mahdis Khorram, Modeling of local scour depth around bridge pier using FLOW 3D, CPRASE: Transactions of Civil and Environmental Engineering, 8.2; 2781, 2022.

83-22   Mostafa Taherian, Seyed Ahmad Reza Saeidi Hosseini, Abdolmajid Mohammadian, Overview of outfall discharge modeling with a focus on turbulence modeling approaches, Advances in Fluid Mechanics: Modelling and Simulations, Eds. Dia Zeidan, Eric Goncalves Da Silva, Jochen Merker, Lucy T. Zhang, 2022.

80-22   Soraya Naderi, Mehdi Daryaee, Seyed Mahmood Kashefipour, Mohammadreza Zayeri, Numerical and experimental study of flow pattern due to a plate installed upstream of orifice in pressurized flushing of dam reservoirs, Iranian Journal of Science and Technology: Transactions of Civil Engineering, 2022. doi.org/10.1007/s40996-022-00896-9

79-22   Mahmood Nemati Qalee Maskan, Khosrow Hosseini, Effects of the simultaneous presence of bridge pier and abutment on the change of erodible bed using FLOW-3D, Journal of Iranian Water Engineering Research, 1.1; pp. 57-69, 2022. doi.org/10.22034/IJWER.2022.312074.1012

75-22   Steven Matthew Klawitter, L-shaped spillway crest leg interface geometry impacts, Thesis, University of Colorado at Denver, 2022.

72-22   Md. Mukdiul Islam, Md. Samiun Basir, Badal Mahalder, Local scour analysis around single pier and group of piers in tandem arrangement using FLOW 3D, 6th International Conference on Civil Engineering for Sustainable Development (ICCESD 2022), Khulna, Bangladesh, February 10-12, 2022.

69-22   Kuo-Wei Liao, Zhen-Zhi Wang, Investigation of air-bubble screen on reducing scour in river facility, EGU General Assembly, EGU22-1137, 2022. doi.org/10.5194/egusphere-egu22-1137

68-22   Cüneyt Yavuz, Energy dissipation scale for dam prototypes, ADYU Mühendislik Bilimleri Dergisi (Adıyaman University Journal of Engineering Sciences), 16; pp. 105-116, 2022.

66-22   Ji-jian Lian, Shu-guang Zhang, Jun-ling He, An improved numerical model of ski-jump flood discharge atomization, Journal of Mountain Science, 19; pp. 1263-1273, 2022. doi.org/10.1007/s11629-021-7158-8

62-22   Ali Montazeri, Amirabbas Abedini, Milad Aminzadeh, Numerical investigation of pollution transport around a single non-submerged spur dike, Journal of Contaminant Hydrology, 248; 104018, 2022. doi.org/10.1016/j.jconhyd.2022.104018

61-22   Junhao Zhang, Yining Sun, Zhixian Cao, Ji Li, Flow structure at reservoir-tributary confluence with high sediment load, EGU General Assembly, Vienna, Austria, May 23-27, 2022. doi.org/10.5194/egusphere-egu22-1419

60-22   S. Modalavalasa, V. Chembolu, V. Kulkarni, S. Dutta, Numerical and experimental investigation of effect of green river corridor on main channel hydraulics, Recent Trends in River Corridor Management, Lecture Notes in Civil Engineering 229, pp. 165-176, 2022.

59-22   Philippe April LeQuéré, Scouring around multiple structures in extreme flow conditions, Thesis, University of Ottawa, Ottawa, ON, Canada, 2022.

51-22   Xianzheng Zhang, Chenxiao Tang, Yajie Yu, Chuan Tang, Ning Li, Jiang Xiong, Ming Chen, Some considerations for using numerical methods to simulate possible debris flows: The case of the 2013 and 2020 Wayao debris flows (Sichuan, China), Water, 14.7; 1050, 2022. doi.org/10.3390/w14071050

50-22   Daniel Valero, Daniel B. Bung, Sebastien Erpicum, Yann Peltier, Benjamin Dewals, Unsteady shallow meandering flows in rectangular reservoirs: A modal analysis of URANS modelling, Journal of Hydro-environment Research, 42; pp. 12-20, 2022. doi.org/10.1016/j.jher.2022.03.002

49-22   Behzad Noroozi, Jalal Bazargan, Comparing the behavior of ogee and piano key weirs under unsteady flows, Journal of Irrigation and Water Engineering, 12.3; pp. 97-120. doi.org/10.22125/iwe.2022.146390

47-22   Chen Xiaoting, Huang Bolin, Li Bin, Jiang Xiannian, Risk assessment study on landslide-generated impulse waves: case study from Zhongliang Reservoir in Chongqing, China, Bulletin of Engineering Geology and the Environment, 81; 158, 2022. doi.org/10.1007/s10064-022-02629-8

45-22   Mehmet Cihan Aydin, Havva Seda Aytemur, Ali Emre Ulu, Experimental and numerical investigation on hydraulic performance of slit-check dams in subcritical flow condition, Water Resources Management, 36; pp. 1693-1710, 2022. doi.org/10.1007/s11269-022-03103-6

43-22   Suresh Modalavalasa, Vinay Chembolu, Subashisa Dutta, Vinayak Kulkarni, Combined effect of bridge piers and floodplain vegetation on main channel hydraulics, Experimental Thermal and Fluid Science, 136; 110669, 2022. doi.org/10.1016/j.expthermflusci.2022.110669

40-22   Mohammad Bagherzadeh, Farhad Mousavi, Mohammad Manafpour, Reza Mirzaee, Khosrow Hoseini, Numerical simulation and application of soft computing in estimating vertical drop energy dissipation with horizontal serrated edge, Water Supply, 127, 2022. doi.org/10.2166/ws.2022.127

39-22   Masumeh Rostam Abadi, Saeed Kazemi Mohsenabadi, Numerical study of the weir angle on the flow pattern and scour around the submerged weirs, International Journal of Modern Physics C, 2022. doi.org/10.1142/S0129183122501108

38-22   Vahid Hassanzadeh Vayghan, Mirali Mohammadi, Behzad Shakouri, Experimental and numerical examination of flow resistance in plane bed streams, Arabian Journal of Geosciences, 15; 483, 2022. doi.org/10.1007/s12517-022-09691-2

36-22   Kyong Oh Baek, Byong Jo Min, Investigation for flow characteristics of ice-harbor type fishway installed at mid-sized streams in Korea, Journal of Korea Water Resources Association, 55.1; pp. 33-42, 2022. 

34-22   Kyong Oh Baek, Jeong-Min Lee, Eun-Jin Han, Young-Do Kim, Evaluating attraction and passage efficiencies of pool-weir type fishways based on hydraulic analysis, Applied Sciences, 12.4; 1880, 2022. doi.org/10.3390/app12041880

33-22   Christopher Paschmann, David F. Vetsch, Robert M. Boes, Design of desanding facilities for hydropower schemes based on trapping efficiency, Water, 14.4; 520, 2022. doi.org/10.3390/w14040520

29-22   Mehdi Heyrani, Abdolmajid Mohammadian, Ioan Nistor, Omerul Faruk Dursun, Application of numerical and experimental modeling to improve the efficiency of Parshall flumes: A review of the state-of-the-art, Hydrology, 9.2; 26 2022. doi.org/10.3390/hydrology9020026

28-22   Kiyoumars Roushangar, Samira Akhgar, Saman Shanazi, The effect of triangular prismatic elements on the hydraulic performance of stepped spillways in the skimming flow regime: An experimental study and numerical modeling, Journal of Hydroinformatics, 2022. doi.org/10.2166/hydro.2022.031

26-22   Jorge Augusto Toapaxi Alvarez, Roberto Silva, Cristina Torres, Modelación numérica tridimensional del medidor de caudal Palmer-Bowlus aplicando el programa FLOW-3D (Three-dimensional numerical modeling of the Palmer-Bowlus measuring flume applying the FLOW-3D program), Revista Politécnica, 49.1; 2022. doi.org/10.33333/rp.vol49n1.04 

25-22   Shubing Dai, Sheng Jin, Numerical investigations of unsteady critical flow conditions over an obstacle using three models, Physics of Fluids, 34.2; 2022. doi.org/10.1063/5.0077585

23-22   Negar Ghahramani, H. Joanna Chen, Daley Clohan, Shielan Liu, Marcelo Llano-Serna, Nahyan M. Rana, Scott McDougall, Stephen G. Evans, W. Andy Take, A benchmarking study of four numerical runout models for the simulation of tailings flows, Science of the Total Environment, 827; 154245, 2022. doi.org/10.1016/j.scitotenv.2022.154245

22-22   Bahador Fatehi-Nobarian, Razieh Panahi, Vahid Nourani, Investigation of the Effect of Velocity on Secondary Currents in Semicircular Channels on Hydraulic Jump Parameters, Iranian Journal of Science and Technology: Transactions of Civil Engineering, 2022. doi.org/10.1007/s40996-021-00800-x

21-22   G. Viccione, C. Izzo, Three-dimensional CFD modelling of urban flood forces on buildings: A case study, Journal of Physics: Conference Series, 2162; 012020, 2022. doi.org/10.1088/1742-6596/2162/1/012020

20-22   Tohid Jamali Rovesht, Mohammad Manafpour, Mehdi Lotfi, Effects of flow condition and chute geometry on the shockwaves formed on chute spillway, Journal of Water Supply: Research and Technology-Aqua, 71.2; pp. 312-329, 2022. doi.org/10.2166/aqua.2022.139

17-22   Yansong Zhang, Jianping Chen, Fujun Zhou, Yiding Bao, Jianhua Yan, Yiwei Zhang, Yongchao Li, Feifan Gu, Qing Wang, Combined numerical investigation of the Gangda paleolandslide runout and associated dam breach flood propagation in the upper Jinsha River, SE Tibetan Plateau, Landslides, 2022. doi.org/10.1007/s10346-021-01768-5

16-22   I.A. Hernández-Rodríguez, J. López-Ortega, G. González-Blanco, R. Beristain-Cardoso, Performance of the UASB reactor during wastewater treatment and the effect of the biogas bubbles on its hydrodynamics, Environmental Technology, pp. 1-21, 2022. doi.org/10.1080/09593330.2022.2028015

15-22   Xu Deng, Sizhong He, Zhouhong Cao, Numerical investigation of the local scour around a coconut tree root foundation under wave-current joint actions, Ocean Engineering, 245; 110563, 2022. doi.org/10.1016/j.oceaneng.2022.110563

14-22   Rasool Kosaj, Rafid S. Alboresha, Sadeq O. Sulaiman, Comparison between numerical Flow3d software and laboratory data, for sediment incipient motion, IOP Conference Series: Earth and Environmental Science, 961; 012031, 2022. doi.org/10.1088/1755-1315/961/1/012031

13-22   Joseph M. Sinclair, S. Karan Venayagamoorthy, Timothy K. Gates, Some insights on flow over sharp-crested weirs using computational fluid dynamics: Implications for enhanced flow measurement, Journal of Irrigation and Drainage Engineering, 148.6; 2022. doi.org/10.1061/(ASCE)IR.1943-4774.0001652

12-22   Mete Koken, Ismail Aydin, Serhan Ademoglu, An iterative hydraulic design methodology based on numerical modeling for piano key weirs, Journal of Hydro-environment Research, 40; pp. 131-141, 2022. doi.org/10.1016/j.jher.2022.01.002

11-22   Najam us Saqib, Muhammad Akbar, Huali Pan, Guoqiang Ou, Muhammad Mohsin, Assad Ali, Azka Amin, Numerical analysis of pressure profiles and energy dissipation across stepped spillways having curved risers, Applied Sciences, 12.1; 448, 2022. doi.org/10.3390/app12010448

9-22   Amir Bordbar, Soroosh Sharifi, Hassan Hemida, Investigation of scour around two side-by-side piles with different spacing ratios in live-bed, Lecture Notes in Civil Engineering, 208; pp. 302-309, 2022. doi.org/10.1007/978-981-16-7735-9_33

8-22    Jian-cheng Li, Wei Wang, Yan-ming Zheng, Xiao-hao Wen, Jing Feng, Li Sheng, Chen Wang, Ming-kun Qiu, Using computational fluid dynamic simulation with Flow-3D to reveal the origin of the mushroom stone in the Xiqiao Mountain of Guangdong, China, Journal of Mountain Science, 19; pp. 1-15, 2022. doi.org/10.1007/s11629-021-7019-5

4-22   Ankur Kapoor, Aniruddha D. Ghare, Avinash M. Badar, CFD simulations of conical central baffle flumes, Journal of Irrigation and Drainage Engineering, 148.2, 2022. doi.org/10.1061/(ASCE)IR.1943-4774.0001653

2-22   Ramtin Sabeti, Mohammad Heidarzadeh, Numerical simulations of tsunami wave generation by submarine landslides: Validation and sensitivity analysis to landslide parameters, Journal of Waterway, Port, Coastal, and Ocean Engineering, 148.2; 05021016, 2022. doi.org/10.1061/(ASCE)WW.1943-5460.0000694

1-22   Juan Francisco Fuentes-Pérez, Ana L. Quaresma, Antonio Pinheiro, Francisco Javier Sanz-Ronda, OpenFOAM vs FLOW-3D: A comparative study of vertical slot fishway modelling, Ecological Engineering, 174, 2022.

145-21   Ebrahim Hamid Hussein Al-Qadami, Zahiraniza Mustaffa, Eduardo Martínez-Gomariz, Khamaruzaman Wan Yusof, Abdurrasheed S. Abdurrasheed, Syed Muzzamil Hussain Shah, Numerical simulation to assess floating instability of small passenger vehicle under sub-critical flow, Lecture Notes in Civil Engineering, 132; pp. 258-265, 2021. doi.org/10.1007/978-981-33-6311-3_30

140-21   J. Zulfan, B.M.Ginting, Investigation of spillway rating curve via theoretical formula, laboratory experiment, and 3D numerical modeling: A case study of the Riam Kiwa Dam, Indonesia, IOP Conference Series: Earth and Environmental Science, 930; 012030, 2021. doi.org/10.1088/1755-1315/930/1/012030

130-21   A.S.N. Amirah, F.Y. Boon, K.A. Nihla, Z.M. Salwa, A.W. Mahyun, N. Yaacof, Numerical simulation of flow within a storage area of HDPE modular pavement, IOP Conference Series: Earth and Environmental Science, 920; 012044, 2021. doi.org/10.1088/1755-1315/920/1/012044

129-21   Z.M. Yusof, Z.A.L. Shirling, A.K.A. Wahab, Z. Ismail, S. Amerudin, A hydrodynamic model of an embankment breaching due to overtopping flow using FLOW-3D, IOP Conference Series: Earth and Environmental Science, 920; 012036, 2021. doi.org/10.1088/1755-1315/920/1/012036

125-21   Ketaki H. Kulkarni, Ganesh A. Hinge, Comparative study of experimental and CFD analysis for predicting discharge coefficient of compound broad crested weir, Water Supply, 2021. doi.org/10.2166/ws.2021.403

119-21   Yan Liang, Yiqun Hou, Wangbin Hu, David Johnson, Junxing Wang, Flow velocity preference of Schizothorax oconnori Lloyd swimming upstream, Global Ecology and Conservation, 32; e01902, 2021. doi.org/10.1016/j.gecco.2021.e01902

116-21   Atabak Feizi, Aysan Ezati, Shadi Alizadeh Marallo, Investigation of hydrodynamic characteristics of flow caused by dam break around a downstream obstacle considering different reservoir shapes, Numerical Methods in Civil Engineering, 6.2; pp. 36-48, 2021.

114-21   Jackson Tellez-Alvarez, Manuel Gómez, Beniamino Russo, Marko Amezaga-Kutija, Numerical and experimental approaches toestimate discharge coefficients and energy loss coefficients in pressurized grated inlets, Hydrology, 8.4; 162, 2021. doi.org/10.3390/hydrology8040162

113-21   Alireza Khoshkonesh, Blaise Nsom, Fariba Ahmadi Dehrashid, Payam Heidarian, Khuram Riaz, Comparison of the SWE and 3D models in simulation of the dam-break flow over the mobile bed, 5th Scientific Conference of Applied Research in Science and Technology of Iran, 2021.

103-21   Farshid Mosaddeghi, Numerical modeling of dam breach in concrete gravity dams, Thesis, Middle East Technical University, Ankara, Turkey, 2021.

102-21   Xu Deng, Sizhong He, Zhouhong Cao, Tao Wu, Numerical investigation of the hydrodynamic response of an impermeable sea-wall subjected to artificial submarine landslide-induced tsunamis, Landslides, 2021. doi.org/10.1007/s10346-021-01773-8

100-21   Jinmeng Yang, Zhenzhong Shen, Jing Zhang, Xiaomin Teng, Wenbing Zhang, Jie Dai, Experimental and numerical investigation of flow over a spillway bend with different combinations of permeable spur dikes, Water Supply, ws2021335, 2021. doi.org/10.2166/ws.2021.335

99-21   Nigel A. Temple, Josh Adams, Evan Blythe, Zidane Twersky, Steve Blair, Rick Harter, Investigating the performance of novel oyster reef materials in Apalachicola Bay, Florida, ASBPA National Coastal Conference, New Orleans, LA, USA, September 28-October 1, 2021.

94-21   Xiaoyang Shen, Mario Oertel, Comparitive study of nonsymmetrical trapezoidal and rectangular piano key weirs with varying key width ratios, Journal of Hydraulic Engineering, 147.11, 2021. doi.org/10.1061/(ASCE)HY.1943-7900.0001942

93-21   Aysar Tuama Al-Awadi, Mahmoud Saleh Al-Khafaji, CFD-based model for estimating the river bed morphological characteristics near cylindrical bridge piers due to debris accumulation, Water Resources, 48; pp. 763-773, 2021. doi.org/10.1134/S0097807821050031

92-21   Juan Francisco Macián-Pérez, Francisco José Vallés-Morán, Rafael García-Bartual, Assessment of the performance of a modified USBR Type II stilling basin by a validated CFD model, Journal of Irrigation and Drainage Engineering , 147.11, 2021. doi.org/10.1061/(ASCE)IR.1943-4774.0001623

91-21   Ali Yıldız, Ali İhsan Martı, Mustafa Göğüş, Numerical and experimental modelling of flow at Tyrolean weirs, Flow Measurement and Instrumentation, 81; 102040, 2021. doi.org/10.1016/j.flowmeasinst.2021.102040

90-21   Yasamin Aghaei, Fouad Kilanehei, Shervin Faghihirad, Mohammad Nazari-Sharabian, Dynamic pressure at flip buckets of chute spillways: A numerical study, International Journal of Civil Engineering, 2021. doi.org/10.1007/s40999-021-00670-4

88-21   Shang-tuo Qian, Yan Zhang, Hui Xu, Xiao-sheng Wang, Jian-gang Feng, Zhi-xiang Li, Effects of surface roughness on overflow discharge of embankment weirs, Journal of Hydrodynamics, 33; pp. 773-781, 2021. doi.org/10.1007/s42241-021-0068-y

86-21   Alkistis Stergiopoulou, Vassilios Stergiopoulos, CFD simulations of tubular Archimedean screw turbines harnessing the small hydropotential of Greek watercourses, International Journal of Energy and Environment, 12.1; pp. 19-30, 2021.

85-21   Jun-tao Ren, Xue-fei Wu, Ting Zhang, A 3-D numerical simulation of the characteristics of open channel flows with submerged rigid vegetation, Journal of Hydrodynamics, 33; pp. 833-843, 2021. doi.org/10.1007/s42241-021-0063-3

84-21   Rasoul Daneshfaraz, Amir Ghaderi, Maryam Sattariyan, Babak Alinejad, Mahdi Majedi Asl, Silvia Di Francesco, Investigation of local scouring around hydrodynamic and circular pile groups under the influence of river material harvesting pits, Water, 13.6; 2192, 2021. doi.org/10.3390/w13162192

83-21   Mahdi Feizbahr, Navid Tonekaboni, Guang-Jun Jiang, Hong-Xia Chen, Optimized vegetation density to dissipate energy of flood flow in open canals, Mathematical Problems in Engineering, 2021; 9048808, 2021. doi.org/10.1155/2021/9048808

80-21   Wenjun Liu, Bo Wang, Yakun Guo, Numerical study of the dam-break waves and Favre waves down sloped wet rigid-bed at laboratory scale, Journal of Hydrology, 602; 126752, 2021. doi.org/10.1016/j.jhydrol.2021.126752

79-21   Zhen-Dong Shen, Yang Zhang, The three-dimensional simulation of granular mixtures weir, IOP Conference Series: Earth and Environmental Science, 820; 012024, 2021. doi.org/10.1088/1755-1315/820/1/012024

75-21   Mehrdad Ghorbani Mooselu, Mohammad Reza Nikoo, Parnian Hashempour Bakhtiari, Nooshin Bakhtiari Rayani, Azizallah Izady, Conflict resolution in the multi-stakeholder stepped spillway design under uncertainty by machine learning techniques, Applied Soft Computing, 110; 107721, 2021. doi.org/10.1016/j.asoc.2021.107721

73-21   Romain Van Mol, Plunge pool rehabilitation with prismatic concrete elements – Case study and physical model of Ilarion dam in Greece, Infoscience (EPFL Scientific Publications), 2021.

70-21   Khosro Morovati, Christopher Homer, Fuqiang Tian, Hongchang Hu, Opening configuration design effects on pooled stepped chutes, Journal of Hydraulic Engineering, 147.9, 2021. doi.org/10.1061%2F(ASCE)HY.1943-7900.0001897

68-21   R. Daneshfaraz, E. Aminvash, S. Di Francesco, A. Najibi, J. Abraham, Three-dimensional study of the effect of block roughness geometry on inclined drop, Numerical Methods in Civil Engineering, 6.1; pp. 1-9, 2021. 

66-21   Benjamin Hohermuth, Lukas Schmoker, Robert M. Boes, David Vetsch, Numerical simulation of air entrainment in uniform chute flow, Journal of Hydraulic Research, 59.3; pp. 378-391, 2021. doi.org/10.1080/00221686.2020.1780492

65-21   Junjun Tan, Honglin Tan, Elsa Goerig, Senfan Ke, Haizhen Huang, Zhixiong Liu, Xiaotao Shi, Optimization of fishway attraction flow based on endemic fish swimming performance and hydraulics, Ecological Engineering, 170; 106332, 2021. doi.org/10.1016/j.ecoleng.2021.106332

63-21   Erdinc Ikinciogullari, Muhammet Emin Emiroglu, Mehmet Cihan Aydin, Comparison of scour properties of classical and trapezoidal labyrinth weirs, Arabian Journal for Science and Engineering, 2021. doi.org/10.1007/s13369-021-05832-z

59-21   Elias Wehrmeister, José J. Ota, Separation in overflow spillways: A computational analysis, Journal of Hydraulic Research, 59, 2021. doi.org/10.1080/00221686.2021.1908438

53-21   Zongxian Liang, John Ditter, Riadh Atta, Brian Fox, Karthik Ramaswamy, Numerical modeling of tailings dam break using a Herschel-Bulkley rheological model, USSD Annual Conference, online, May 11-21, 2021. 

51-21   Yansong Zhang, Jianping Chen, Chun Tan, Yiding Bao, Xudong Han, Jianhua Yan, Qaiser Mehmood, A novel approach to simulating debris flow runout via a three-dimensional CFD code: A case study of Xiaojia Gully, Bulletin of Engineering Geology and the Environment, 80.5, 2021. doi.org/10.1007/s10064-021-02270-x

49-21   Ramtin Sabeti, Mohammad Heidarzadeh, Preliminary results of numerical simulation of submarine landslide-generated waves, EGU General Assembly 2021, online, April 19-30, 2021. doi.org/10.5194/egusphere-egu21-284

48-21   Anh Tuan Le, Ken Hiramatsu, Tatsuro Nishiyama, Hydraulic comparison between piano key weir and rectangular labyrinth weir, International Journal of GEOMATE, 20.82; pp. 153-160, 2021. doi.org/10.21660/2021.82.j2106

46-21   Maoyi Luo, Faxing Zhang, Zhaoming Song, Liyuan Zhang, Characteristics of flow movement in complex canal system and its influence on sudden pollution accidents, Mathematical Problems in Engineering, 6617385, 2021. doi.org/10.1155/2021/6617385

42-21   Jakub Major, Martin Orfánus, Zbyněk Zachoval, Flow over broad-crested weir with inflow by approach shaft – Numerical model, Civil Engineering Journal, 30.1; 19, 2021. doi.org/10.14311/CEJ.2021.01.0019 

41-21   Amir Ghaderi, Saeed Abbasi, Experimental and numerical study of the effects of geometric appendance elements on energy dissipation over stepped spillway, Water, 13.7; 957, 2021. doi.org/10.3390/w13070957

38-21   Ana L. Quaresma, António N. Pinheiro, Modelling of pool-type fishways flows: Efficiency and scale effects assessment, Water, 13.6; 851, 2021. doi.org/10.3390/w13060851

37-21   Alireza Khoshkonesh, Blaise Nsom, Farhad Bahmanpouri, Fariba Ahmadi Dehrashid, Atefah Adeli, Numerical study of the dynamics and structure of a partial dam-break flow using the VOF Method, Water Resources Management, 35; pp. 1513-1528, 2021. doi.org/10.1007/s11269-021-02799-2

36-21   Amir Ghaderi, Mehdi Dasineh, Francesco Aristodemo, Constanza Aricò, Numerical simulations of the flow field of a submerged hydraulic jump over triangular macroroughnesses, Water, 13.5; 674, 2021. doi.org/10.3390/w13050674

35-21   Hongliang Qi, Junxing Zheng, Chenguang Zhang, Modeling excess shear stress around tandem piers of the longitudinal bridge by computational fluid dynamics, Journal of Applied Water Engineering and Research, 2021. doi.org/10.1080/23249676.2021.1884614

31-21   Seth Siefken, Robert Ettema, Ari Posner, Drew Baird, Optimal configuration of rock vanes and bendway weirs for river bends: Numerical-model insights, Journal of Hydraulic Engineering, 147.5, 2021. doi.org/10.1061/(ASCE)HY.1943-7900.0001871

29-21   Débora Magalhães Chácara, Waldyr Lopes Oliveira Filho, Rheology of mine tailings deposits for dam break analyses, REM – International Engineering Journal, 74.2; pp. 235-243, 2021. doi.org/10.1590/0370-44672020740098

27-21   Ling Peng, Ting Zhang, Youtong Rong, Chunqi Hu, Ping Feng, Numerical investigation of the impact of a dam-break induced flood on a structure, Ocean Engineering, 223; 108669, 2021. doi.org/10.1016/j.oceaneng.2021.108669

26-21   Qi-dong Hou, Hai-bo Li, Yu-Xiang Hu, Shun-chao Qi, Jian-wen Zhou, Overtopping process and structural safety analyses of the earth-rock fill dam with a concrete core wall by using numerical simulations, Arabian Journal of Geosciences, 14; 234, 2021. doi.org/10.1007/s12517-021-06639-w

25-21   Filipe Romão, Ana L. Quaresma, José M. Santos, Susana D. Amaral, Paulo Branco, António N. Pinheiro, Performance and fish transit time over vertical slots, Water, 13.3; 275, 2021. doi.org/10.3390/w13030275

23-21   Jiahou Hu, Chengwei Na, Yi Wang, Study on discharge velocity of tailings mortar in dam break based on FLOW-3D, IOP Conference Series: Earth and Environmental Science, 6th International Conference on Hydraulic and Civil Engineering, Xi’an, China, December 11-13, 2020, 643; 012052, 2021. doi.org/10.1088/1755-1315/643/1/012052

21-21   Asad H. Aldefae, Rusul A. Alkhafaji, Experimental and numerical modeling to investigate the riverbank’s stability, SN Applied Sciences, 3; 164, 2021. doi.org/10.1007/s42452-021-04168-5

20-21   Yangliang Lu, Jinbu Yin, Zhou Yang, Kebang Wei, Zhiming Liu, Numerical study of fluctuating pressure on stilling basin slabwith sudden lateral enlargement and bottom drop, Water, 13.2; 238, 2021. doi.org/10.3390/w13020238

18-21   Prashant Prakash Huddar, Vishwanath Govind Bhave, Hydraulic structure design with 3D CFD model, Proceedings, 25th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2020), Odisha, India, March 26-28, 2021.

17-21   Morteza Sadat Helbar, Atefah Parvaresh Rizi, Javad Farhoudi, Amir Mohammadi, 3D flow simulation to improve the design and operation of the dam bottom outlets, Arabian Journal of Geosciences, 14; 90, 2021. doi.org/10.1007/s12517-020-06378-4

15-21   Charles R. Ortloff, Roman hydraulic engineering: The Pont du Gard Aqueduct and Nemausus (Nîmes) Castellum, Water, 13.1; 54, 2021. doi.org/10.3390/w13010054

12-21   Mehdi Karami Moghadam, Ata Amini, Ehsan Karami Moghadam, Numerical study of energy dissipation and block barriers in stepped spillways, Journal of Hydroinformatics, 23.2; pp. 284-297, 2021. doi.org/10.2166/hydro.2020.245

08-21   Prajakta P. Gadge, M. R. Bhajantri, V. V. Bhosekar, Numerical simulations of air entraining characteristics over high head chute spillway aerator, Proceedings, ICOLD Symposium on Sustainable Development of Dams and River Basins, New Dehli, India, February 24 – 27, 2021.

07-21   Pankaj Lawande, Computational fluid dynamics simulation methodologies for stilling basins, Proceedings, ICOLD Symposium on Sustainable Development of Dams and River Basins, New Dehli, India, February 24 – 27, 2021.

Below is a collection of technical papers in our Water & Environmental Bibliography. All of these papers feature FLOW-3D results. Learn more about how FLOW-3D can be used to successfully simulate applications for the Water & Environmental Industry.

02-21   Aytaç Güven, Ahmed Hussein Mahmood, Numerical investigation of flow characteristics over stepped spillways, Water Supply, in press, 2021. doi.org/10.2166/ws.2020.283

01-21   Le Thi Thu Hien, Nguyen Van Chien, Investigate impact force of dam-break flow against structures by both 2D and 3D numerical simulations, Water, 13.3; 344, 2021. doi.org/10.3390/w13030344

125-20   Farhad Bahmanpouri, Mohammad Daliri, Alireza Khoshkonesh, Masoud Montazeri Namin, Mariano Buccino, Bed compaction effect on dam break flow over erodible bed; experimental and numerical modeling, Journal of Hydrology, in press, 2020. doi.org/10.1016/j.jhydrol.2020.125645

209-23   Cong Trieu Tran, Cong Ty Trinh, Prediction of the vortex evolution and influence analysis of rough bed in a hydraulic jump with the Omega-Liutex method, Tehnički Vjesnik, 30.6; 2023. doi.org/10.17559/TV-20230206000327

203-23   Muhammad Waqas Zaffar, Ishtiaq Hassan, Zulfiqar Ali, Kaleem Sarwar, Muhammad Hassan, Muhammad Taimoor Mustafa, Faizan Ahmed Waris, Numerical investigation of hydraulic jumps with USBR and wedge-shaped baffle block basins for lower tailwater, AQUA – Water Infrastructure, Ecosystems and Society, 72.11; 2081, 2023. doi.org/10.2166/aqua.2023.261

201-23   E.F.R. Bollaert, Digital cloud-based platform to predict rock scour at high-head dams, Role of Dams and Reservoirs in a Successful Energy Transition, Eds. Robert Boes, Patrice Droz, Raphael Leroy, 2023. doi.org/10.1201/9781003440420

200-23   Iacopo Vona, Oysters’ integration on submerged breakwaters as nature-based solution for coastal protection within estuarine environments, Thesis, University of Maryland, 2023.

198-23   Hao Chen, Xianbin Teng, Zhibin Zhang, Faxin Zhu, Jie Wang, Zhaohao Zhang, Numerical analysis of the influence of the impinging distance on the scouring efficiency of submerged jets, Fluid Dynamics & Materials Processing, 20.2; pp. 429-445, 2023. doi.org/10.32604/fdmp.2023.030585

193-23   Chen Peng, Liuweikai Gu, Qiming Zhong, Numerical simulation of dam failure process based on FLOW-3D, Advances in Frontier Research on Engineering Structures, pp. 545-550, 2023. doi.org/10.3233/ATDE230245

189-23   Rebecca G. Englert, Age J. Vellinga, Matthieu J.B. Cartigny, Michael A. Clare, Joris T. Eggenhuisen, Stephen M. Hubbard, Controls on upstream-migrating bed forms in sandy submarine channels, Geology, 51.12; PP. 1137-1142, 2023. doi.org/10.1130/G51385.1

187-23   J.W. Kim, S.B. Woo, A numerical approach to the treatment of submerged water exchange processes through the sluice gates of a tidal power plant, Renewable Energy, 219.1; 119408, 2023. doi.org/10.1016/j.renene.2023.119408

186-23   Chan Jin Jeong, Hyung Jun Park, Hyung Suk Kim, Seung Oh Lee, Study on fish-friendly flow characteristic in stepped fishway, Proceedings of the Korean Water Resources Association Conference, 2023. (In Korean)

185-23   Jaehwan Yoo, Sedong Jang, Byunghyun Kim, Analysis of coastal city flooding in 2D and 3D considering extreme conditions and climate change, Proceedings of the Korean Water Resources Association Conference, 2023. (In Korean)

180-23   Prathyush Nallamothu, Jonathan Gregory, Jordan Leh, Daniel P. Zielinski, Jesse L. Eickholt, Semi-automated inquiry of fish launch angle and speed for hazard analysis, Fishes, 8.10; 476, 2023. doi.org/10.3390/fishes8100476

179-23   Reza Norouzi, Parisa Ebadzadeh, Veli Sume, Rasoul Daneshfaraz, Upstream vortices of a sluice gate: an experimental and numerical study, AQUA – Water Infrastructure, Ecosystems and Society, 72.10; 1906, 2023. doi.org/10.2166/aqua.2023.269

178-23   Bai Hao Li, How Tion Puay, Muhammad Azfar Bin Hamidi, Influence of spur dike’s angle on sand bar formation in a rectangular channel, IOP Conference Series: Earth and Environmental Science, 1238; 012027, 2023. doi.org/10.1088/1755-1315/1238/1/012027

177-23   Hao Zhe Khor, How Tion Puay, Influence of gate lip angle on downpull forces for vertical lift gates, IOP Conference Series: Earth and Environmental Science, 1238; 012019, 2023. doi.org/10.1088/1755-1315/1238/1/012019

175-23   Juan Francisco Macián-Pérez, Rafael García-Bartual, P. Amparo López-Jiménez, Francisco José Vallés-Morán, Numerical modeling of hydraulic jumps at negative steps to improve energy dissipation in stilling basins, Applied Water Science, 13.203; 2023. doi.org/10.1007/s13201-023-01985-4

174-23   Ahintha Kandamby, Dusty Myers, Narrows bypass chute CFD analysis, Dam Safety, 2023.

173-23   H. Jalili, R.C. Mahon, M.F. Martinez, J.W. Nicklow, Sediment sluicing from the reservoirs with high efficiency, SEDHYD, 2023.

170-23   Ramith Fernando, Gangfu Zhang, Beyond 2D: Unravelling bridge hydraulics with CFD modelling, 24th Queensland Water Symposium, 2023.

169-23   K. Licht, G. Lončar, H. Posavčić, I. Halkijević, Short-time numerical simulation of ultrasonically assisted electrochemical removal of strontium from water, 18th International Conference on Environmental Science and Technology (CEST), 2023.

166-23   Ebrahim Hamid Hussein Al-Qadami, Mohd Adib Mohammad Razi, Wawan Septiawan Damanik, Zahiraniza Mustaffa, Eduardo Martinez-Gomariz, Fang Yenn Teo, Anwar Ameen Hezam Saeed, Understanding the stability of passenger vehicles exposed to water flows through 3D CFD modelling, Sustainability, 15.17; 13262, 2023. doi.org/10.3390/su151713262

165-23   Ebrahim Hamid Hussein Al-Qadami, Mohd Adib Mohammad Razi, Wawan Septiawan Damanik, Zahiraniza Mustaffa, Eduardo Martinez-Gomariz, Fang Yenn Teo, Anwar Ameen Hezam Saeed, 3-dimensional numerical study on the critical orientation of the flooded passenger vehicles, Engineering Letters, 31.3; 2023.

124-20   John Petrie, Yan Qi, Mark Cornwell, Md Al Adib Sarker, Pranesh Biswas, Sen Du, Xianming Shi, Design of living barriers to reduce the impacts of snowdrifts on Illinois freeways, Illinois Center for Transportation Series No. 20-019, Research Report No. FHWA-ICT-20-012, 2020. doi.org/10.36501/0197-9191/20-019

123-20   Mohammad Reza Namaee, Jueyi Sui, Yongsheng Wu, Natalie Linklater, Three-dimensional numerical simulation of local scour in the vicinity of circular side-by-side bridge piers with ice cover, Canadian Journal of Civil Engineering, 2020. doi.org/10.1139/cjce-2019-0360

119-20   Tuğçe Yıldırım, Experimental and numerical investigation of vortex formation at multiple horizontal intakes, Thesis, Middle East Technical University, Ankara, Turkey, , 2020.

118-20   Amir Ghaderi, Mehdi Dasineh, Francesco Aristodemo, Ali Ghahramanzadeh, Characteristics of free and submerged hydraulic jumps over different macroroughnesses, Journal of Hydroinformatics, 22.6; pp. 1554-1572, 2020. doi.org/10.2166/hydro.2020.298

117-20   Rasoul Daneshfaraz, Amir Ghaderi, Aliakbar Akhtari, Silvia Di Francesco, On the effect of block roughness in ogee spillways with flip buckets, Fluids, 5.4; 182, 2020. doi.org/10.3390/fluids5040182

115-20   Chi Yao, Ligong Wu, Jianhua Yang, Influences of tailings particle size on overtopping tailings dam failures, Mine Water and the Environment, 2020. doi.org/10.1007/s10230-020-00725-3

114-20  Rizgar Ahmed Karim, Jowhar Rasheed Mohammed, A comparison study between CFD analysis and PIV technique for velocity distribution over the Standard Ogee crested spillways, Heliyon, 6.10; e05165, 2020. doi.org/10.1016/j.heliyon.2020.e05165

113-20   Théo St. Pierre Ostrander, Analyzing hydraulics of broad crested lateral weirs, Thesis, University of Innsbruck, Innsbruck, Austria, 2020.

111-20   Mahla Tajari, Amir Ahmad Dehghani, Mehdi Meftah Halaghi, Hazi Azamathulla, Use of bottom slots and submerged vanes for controlling sediment upstream of duckbill weirs, Water Supply, 20.8; pp. 3393-3403, 2020. doi.org/10.2166/ws.2020.238

110-20   Jian Zhou, Subhas K. Venayagamoorthy, How does three-dimensional canopy geometry affect the front propagation of a gravity current?, Physics of Fluids, 32.9; 096605, 2020. doi.org/10.1063/5.0019760

106-20   Juan Francisco Macián-Pérez, Arnau Bayón, Rafael García-Bartual, P. Amparo López-Jiménez, Characterization of structural properties in high reynolds hydraulic jump based on CFD and physical modeling approaches, Journal of Hydraulic Engineering, 146.12, 2020. doi.org/10.1061/(ASCE)HY.1943-7900.0001820

105-20   Bin Deng, He Tao, Changbo Jian, Ke Qu, Numerical investigation on hydrodynamic characteristics of landslide-induced impulse waves in narrow river-valley reservoirs, IEEE Access, 8; pp. 165285-165297, 2020. doi.org/10.1109/ACCESS.2020.3022651

102-20   Mojtaba Mehraein, Mohammadamin Torabi, Yousef Sangsefidi, Bruce MacVicar, Numerical simulation of free flow through side orifice in a circular open-channel using response surface method, Flow Measurement and Instrumentation, 76; 101825, 2020. doi.org/10.1016/j.flowmeasinst.2020.101825

101-20   Juan Francisco Macián Pérez, Numerical and physical modelling approaches to the study of the hydraulic jump and its application in large-dam stilling basins, Thesis, Universitat Politècnica de València, Valencia, Spain, 2020.

99-20   Chen-Shan Kung, Pin-Tzu Su, Chin-Pin Ko, Pei-Yu Lee, Application of multiple intake heads in engineering field, Proceedings, 30th International Ocean and Polar Engineering Conference (ISOPE), Online, October 11-17,  ISOPE-I-20-3116, 2020.

Below is a collection of technical papers in our Water & Environmental Bibliography. All of these papers feature FLOW-3D results. Learn more about how FLOW-3D can be used to successfully simulate applications for the Water & Environmental Industry.

91-20      Selahattin Kocaman, Stefania Evangelista, Giacomo Viccione, Hasan Güzel, Experimental and numerical analysis of 3D dam-break waves in an enclosed domain with a single oriented obstacle, Environmental Science Proceedings, 2; 35, 2020. doi.org/10.3390/environsciproc2020002035

89-20      Andrea Franco, Jasper Moernaut, Barbara Schneider-Muntau, Michael Strasser, Bernhard Gems, The 1958 Lituya Bay tsunami – pre-event bathymetry reconstruction and 3D numerical modelling utilising the computational fluid dynamics software Flow-3D, Natural Hazards and Earth Systems Sciences, 20; pp. 2255–2279, 2020. doi.org/10.5194/nhess-20-2255-2020

88-20      Cesar Simon, Eddy J. Langendoen, Jorge D. Abad, Alejandro Mendoza, On the governing equations for horizontal and vertical coupling of one- and two-dimensional open channel flow models, Journal of Hydraulic Research, 58.5; pp. 709-724, 2020. doi.org/10.1080/00221686.2019.1671507

87-20       Mohammad Nazari-Sharabian, Moses Karakouzian, Donald Hayes, Flow topology in the confluence of an open channel with lateral drainage pipe, Hydrology, 7.3; 57, 2020. doi.org/10.3390/hydrology7030057

84-20       Naohiro Takeichi, Takeshi Katagiri, Harumi Yoneda, Shusaku Inoue, Yusuke Shintani, Virtual Reality approaches for evacuation simulation of various disasters, Collective Dynamics (originally presented in Proceedings from the 9th International Conference on Pedestrian and Evacuation Dynamics (PED2018), Lund, Sweden, August 21-23, 2018), 5, 2020. doi.org/10.17815/CD.2020.93

83-20       Eric Lemont, Jonathan Hill, Ryan Edison, A problematic installation: CFD modelling of waste stabilisation pond mixing alternatives, Ozwater’20, Australian Water Association, Online, June 2, 2020, 2020.

77-20       Peng Yu, Ruigeng Hu, Jinmu Yang, Hongjun Liu, Numerical investigation of local scour around USAF with different hydraulic conditions under currents and waves, Ocean Engineering, 213; 107696, 2020. doi.org/10.1016/j.oceaneng.2020.107696

76-20       Alireza Mojtahedi, Nasim Soori, Majid Mohammadian, Energy dissipation evaluation for stepped spillway using a fuzzy inference system, SN Applied Sciences, 2; 1466, 2020. doi.org/10.1007/s42452-020-03258-0

74-20       Jackson D., Tellez Alvarez E., Manuel Gómez, Beniamino Russo, Modelling of surcharge flow through grated inlet, Advances in Hydroinformatics: SimHydro 2019 – Models for Extreme Situations and Crisis Management, Nice, France, June 12-14, 2019, pp. 839-847, 2020. doi.org/10.1007/978-981-15-5436-0_65

73-20       Saurav Dulal, Bhola NS Ghimire, Santosh Bhattarai, Ram Krishna Regmi, Numerical simulation of flow through settling basin: A case study of Budhi-Ganga Hydropower Project (BHP), International Journal of Engineering Research & Technology (IJERT), 9.7; pp. 992-998, 2020.

70-20       B. Nandi, S. Das, A. Mazumdar, Experimental analysis and numerical simulation of hydraulic jump, IOP Conference Series: Earth and Environmental Science, 2020 6th International Conference on Environment and Renewable Energy, Hanoi, Vietnam, February 24-26, 505; 012024, 2020. doi.org/10.1088/1755-1315/505/1/012024

69-20       Amir Ghaderi, Rasoul Daneshfaraz, Mehdi Dasineh, Silvia Di Francesco, Energy dissipation and hydraulics of flow over trapezoidal–triangular labyrinth weirs, Water (Special Issue: Combined Numerical and Experimental Methodology for Fluid–Structure Interactions in Free Surface Flows), 12.7; 1992, 2020. doi.org/10.3390/w12071992

68-20       Jia Ni, Linwei Wang, Xixian Chen, Luan Luan Xue, Isam Shahrour, Effect of the fish-bone dam angle on the flow mechanisms of a fish-bone type dividing dyke, Marine Technology Society Journal, 54.3; pp. 58-67, 2020. doi.org/10.4031/MTSJ.54.3.9

67-20       Yu Zhuang, Yueping Yin, Aiguo Xing, Kaiping Jin, Combined numerical investigation of the Yigong rock slide-debris avalanche and subsequent dam-break flood propagation in Tibet, China, Landslides, 17; pp. 2217-2229, 2020. doi.org/10.1007/s10346-020-01449-9

66-20       A. Ghaderi, R. Daneshfaraz, S. Abbasi, J. Abraham, Numerical analysis of the hydraulic characteristics of modified labyrinth weirs, International Journal of Energy and Water Resources, 4.2, 2020. doi.org/10.1007/s42108-020-00082-5

65-20      D.P. Zielinski, S. Miehls, G. Burns, C. Coutant, Adult sea lamprey espond to induced turbulence in a low current system, Journal of Ecohydraulics, 5, 2020. doi.org/10.1080/24705357.2020.1775504

63-20       Raffaella Pellegrino, Miguel Ángel Toledo, Víctor Aragoncillo, Discharge flow rate for the initiation of jet flow in sky-jump spillways, Water, Special Issue: Planning and Management of Hydraulic Infrastructure, 12.6; 1814, 2020. doi.org/10.3390/w12061814

59-20       Nesreen Taha, Maged M. El-Feky, Atef A. El-Saiad, Ismail Fathy, Numerical investigation of scour characteristics downstream of blocked culverts, Alexandria Engineering Journal, 59.5; pp. 3503-3513, 2020. doi.org/10.1016/j.aej.2020.05.032

57-20       Charles Ortloff, The Hydraulic State: Science and Society in the Ancient World, Routledge, London, UK, eBook ISBN: 9781003015192, 2020. doi.org/10.4324/9781003015192

54-20       Navid Aghajani, Hojat Karami, Hamed Sarkardeh, Sayed‐Farhad Mousavi, Experimental and numerical investigation on effect of trash rack on flow properties at power intakes, Journal of Applied Mathematics and Mechanics (ZAMM), online pre-issue, 2020. doi.org/10.1002/zamm.202000017

53-20     Tian Zhou, Theodore Endreny, The straightening of a river meander leads to extensive losses in flow complexity and ecosystem services, Water (Special Issue: A Systems Approach of River and River Basin Restoration), 12.6; 1680, 2020. doi.org/10.3390/w12061680

50-20       C.C. Battiston, F.A. Bombardelli, E.B.C. Schettini, M.G. Marques, Mean flow and turbulence statistics through a sluice gate in a navigation lock system: A numerical study, European Journal of Mechanics – B/Fluids, 84; pp.155-163, 2020. doi.org/10.1016/j.euromechflu.2020.06.003

47-20       Mohammad Nazari-Sharabian, Aliasghar Nazari-Sharabian, Moses Karakouzian, Mehrdad Karami, Sacrificial piles as scour countermeasures in river bridges: A numerical study using FLOW-3D, Civil Engineering Journal, 6.6; pp. 1091-1103, 2020. doi.org/10.28991/cej-2020-03091531

44-20    Leena Jaydeep Shevade, L. James Lo, Franco A. Montalto, Numerical 3D model development and validation of curb-cut inlet for efficiency prediction, Water, 12; 1791, 2020. doi.org/10.3390/w12061791

43-20       Vitor Hugo Pereira de Morais, Tiago Zenker Gireli, Paulo Vatavuk, Numerical and experimental models applied to an ogee crest spillway and roller bucket stilling basin, Brazilian Journal of Water Resources, 2020. doi.org/10.1590/2318-0331.252020190005

42-20       Chen Xie, Qin Chen, Gang Fan, Chen Chen, Numerical simulation of the natural erosion and breaching process of the “10.11” Baige Landslide Dam on the Jinsha River, Dam Breach Modelling and Risk Disposal, pp. 376-377, International Conference on Embankment Dams (ICED), Beijing, China, June 5 – 7, 2020. doi.org/10.1007/978-3-030-46351-9_40

41-20       Niloofar Aghili Mahabadi, Hamed Reza Zarif Sanayei, Performance evaluation of bilateral side slopes in piano key weirs by numerical simulation, Modeling Earth Systems and Environment, 6; pp. 1477-1486, 2020. doi.org/10.1007/s40808-020-00764-3

40-20       P. April Le Quéré, I. Nistor, A. Mohammadian, Numerical modeling of tsunami-induced scouring around a square column: Performance assessment of FLOW-3D and Delft3D, Journal of Coastal Research (preprint), 2020. doi.org/10.2112/JCOASTRES-D-19-00181

39-20       Jian Zhou, Subhas K. Venayagamoorthy, Impact of ambient stable stratification on gravity currents propagating over a submerged canopy, Journal of Fluid Mechanics, 898; A15, 2020. doi.org/10.1017/jfm.2020.418

37-20     Aliasghar Azma, Yongxiang Zhang, The effect of variations of flow from tributary channel on the flow behavior in a T-shape confluence, Processes, 8; 614, 2020. doi.org/10.3390/pr8050614

35-20     Selahattin Kocaman, Hasan Güzel, Stefania Evangelista, Hatice Ozmen-Cagatay, Giacomo Viccione, Experimental and numerical analysis of a dam-break flow through different contraction geometries of the channel, Water, 12; 1124, 2020. doi.org/10.3390/w12041124

32-20       Adriano Henrique Tognato, Modelagem CFD da interação entre hidrodinâmica costeira e quebra-mar submerso: estudo de caso da Ponta da Praia em Santos, SP (CFD modeling of interaction between sea waves and submerged breakwater at Ponta de Praia – Santos, SP: a case study, Thesis, Universidad Estadual de Campinas, Campinas, Brazil, 2020.

31-20   Hamidreza Samma, Amir Khosrojerdi, Masoumeh Rostam-Abadi, Mojtaba Mehraein and Yovanni Cataño-Lopera, Numerical simulation of scour and flow field over movable bed induced by a submerged wall jet, Journal of Hydroinformatics, 22.2, pp. 385-401, 2020. doi.org/10.2166/hydro.2020.091

28-20   Halah Kais Jalal and Waqed H. Hassan, Three-dimensional numerical simulation of local scour around circular bridge pier using FLOW-3D software, IOP Conference Series: Materials Science and Engineering, art. no. 012150, 3rd International Conference on Engineering Sciences, Kerbala, Iraq, November 4-6, 2019745. doi.org/10.1088/1757-899X/745/1/012150

25-20   Faizal Yusuf and Zoran Micovic, Prototype-scale investigation of spillway cavitation damage and numerical modeling of mitigation options, Journal of Hydraulic Engineering, 146.2, 2020. doi.org/10.1061/(ASCE)HY.1943-7900.0001671

24-20   Huan Zhang, Zegao Yin, Yipei Miao, Minghui Xia and Yingnan Feng, Hydrodynamic performance investigation on an upper and lower water exchange device, Aquacultural Engineering, 90, art. no. 102072, 2020. doi.org/10.1016/j.aquaeng.2020.102072

22-20   Yu-xiang Hu, Zhi-you Yu and Jian-wen Zhou, Numerical simulation of landslide-generated waves during the 11 October 2018 Baige landslide at the Jinsha River, Landslides, 2020. doi.org/10.1007/s10346-020-01382-x

19-20   Amir Ghaderi, Mehdi Dasineh, Saeed Abbasi and John Abraham, Investigation of trapezoidal sharp-crested side weir discharge coefficients under subcritical flow regimes using CFD, Applied Water Science, 10, art. no. 31, 2020. doi.org/10.1007/s13201-019-1112-8

18-20   Amir Ghaderi, Saeed Abbasi, John Abraham and Hazi Mohammad Azamathulla, Efficiency of trapezoidal labyrinth shaped stepped spillways, Flow Measurement and Instrumentation, 72, art. no. 101711, 2020. doi.org/10.1016/j.flowmeasinst.2020.101711

16-20   Majid Omidi Arjenaki and Hamed Reza Zarif Sanayei, Numerical investigation of energy dissipation rate in stepped spillways with lateral slopes using experimental model development approach, Modeling Earth Systems and Environment, 2020. doi.org/10.1007/s40808-020-00714-z

15-20   Bo Wang, Wenjun Liu, Wei Wang, Jianmin Zhang, Yunliang Chen, Yong Peng, Xin Liu and Sha Yang, Experimental and numerical investigations of similarity for dam-break flows on wet bed, Journal of Hydrology, 583, art. no. 124598, 2020. doi.org/10.1016/j.jhydrol.2020.124598

14-20   Halah Kais Jalal and Waqed H. Hassan, Effect of bridge pier shape on depth of scour, IOP Conference Series: Materials Science and Engineering, art. no. 012001, 3rd International Conference on Engineering Sciences, Kerbala, Iraq, November 4-6, 2019671. doi.org/10.1088/1757-899X/671/1/012001

13-20   Shahad R. Mohammed, Basim K. Nile and Waqed H. Hassan, Modelling stilling basins for sewage networks, IOP Conference Series: Materials Science and Engineering, art. no. 012111, 3rd International Conference on Engineering Sciences, Kerbala, Iraq, November 4-6, 2019671. doi.org/10.1088/1757-899X/671/1/012111

11-20   Xin Li, Liping Jin, Bernie A. Engel, Zeng Wang, Wene Wang, Wuquan He and Yubao Wang, Influence of the structure of cylindrical mobile flumes on hydraulic performance characteristics in U-shaped channels, Flow Measurement and Instrumentation, 72, art. no. 101708, 2020. doi.org/10.1016/j.flowmeasinst.2020.101708

10-20   Nima Aein, Mohsen Najarchi, Seyyed Mohammad Mirhosseini Hezaveh, Mohammad Mehdi Najafizadeh and Ehsanollah Zeigham, Simulation and prediction of discharge coefficient of combined weir–gate structure, Proceedings of the Institution of Civil Engineers – Water Management (ahead of print), 2020. doi.org/10.1680/jwama.19.00047

03-20   Agostino Lauria, Francesco Calomino, Giancarlo Alfonsi, and Antonino D’Ippolito, Discharge coefficients for sluice gates set in weirs at different upstream wall inclinations, Water, 12, art. no. 245, 2020. doi.org/10.3390/w12010245

113-19   Ruidong An, Jia Li, Typical biological behavior of migration and flow pattern creating for fish schooling, E-Proceedings, 38th IAHR World Congress, Panama City, Panama, September 1-6, 2019.

112-19   Wenjun Liu, Bo Wang, Hang Wang, Jianmin Zhang, Yunliang Chen, Yong Peng, Xin Liu, Sha Yang, Experimental and numerical modeling of dam-break flows in wet downstream conditions, E-Proceedings, 38th IAHR World Congress, Panama City, Panama, September 1-6, 2019.

111-19   Zhang Chendi, Liu Yingjun, Xu Mengzhen, Wang Zhaoyin, The 3D numerical study on flow properties of individual step-pool, Proceedings: 14th International Symposium on River Sedimentation, Chengdu, China, September 16-19, 2019.

110-19   Mason Garfield, The effects of scour on the flow field at a bendway weir, Thesis: Colorado State University, Fort Collins, Colorado, Colorado State University, Fort Collins, Colorado.

109-19   Seth Siefken, Computational fluid dynamics models of Rio Grande bends fitted with rock vanes or bendway weirs, Thesis: Colorado State University, Fort Collins, Colorado, Colorado State University, Fort Collins, Colorado.

108-19   Benjamin Israel Devadason and Paul Schweiger, Decoding the drowning machines: Using CFD modeling to predict and design solutions to remediate the dangerous hydraulic roller at low head dams, The Journal of Dam Safety, 17.1, pp. 20-31, 2019.

106-19   Amir Ghaderi and Saeed Abbasi, CFD simulations of local scouring around airfoil-shaped bridge piers with and without collar, Sādhanā, art. no. 216, 2019. doi.org/10.1007/s12046-019-1196-8

105-19   Jacob van Alwon, Numerical and physical modelling of aerated skimming flows over stepped spillways, Thesis, University of Leeds, Leeds, United Kingdom, 2019.

100-19   E.H. Hussein Al-Qadami, A.S. Abdurrasheed, Z. Mustaffa, K.W. Yusof, M.A. Malek and A. Ab Ghani, Numerical modelling of flow characteristics over sharp crested triangular hump, Results in Engineering, 4, art. no. 100052, 2019. doi.org/10.1016/j.rineng.2019.100052

99-19   Agostino Lauria, Francesco Calomino, Giancarlo Alfonsi, and Antonino D’Ippolito, Discharge coefficients for sluice gates set in weirs at different upstream wall inclinations, Water, 12.1, art. no. 245, 2019. doi.org/10.3390/w12010245

98-19   Redvan Ghasemlounia and M. Sedat Kabdasli, Surface suspended sediment distribution pattern for an unexpected flood event at Lake Koycegiz, Turkey, Proceedings, 14th National Conference on Watershed Management Sciences and Engineering, Urmia, Iran, July 16-17, 2019.

97-19   Brian Fox, Best practices for simulating hydraulic structures with CFD, Proceedings, Dam Safety 2019, Orlando, Florida, USA, September 8-12, 2019.

96-19   John Wendelbo, Verification of CFD predictions of self-aeration onset on stepped chute spillways, Proceedings, Dam Safety 2019, Orlando, Florida, USA, September 8-12, 2019.

95-19   Pankaj Lawande, Anurag Chandorkar and Adhirath Mane, Predicting discharge rating curves for tainter gate controlled spillway using CFD simulations, Proceedings, 24th HYDRO 2019, International Conference, Hyderabad, India, December 18-20, 2019.

91-19   Gyeong-Bo Kim, Wei Cheng, Richards C. Sunny, Juan J. Horrillo, Brian C. McFall, Fahad Mohammed, Hermann M. Fritz, James Beget, and Zygmunt Kowalik , Three Dimensional Landslide Generated Tsunamis: Numerical and Physical Model Comparisons, Landslides, 2019. doi.org/10.1007/s10346-019-01308-2

85-19   Susana D. Amaral, Ana L. Quaresma, Paulo Branco, Filipe Romão, Christos Katopodis, Maria T. Ferreira, António N. Pinheiro, and José M. Santos, Assessment of retrofitted ramped weirs to improve passage of potamodromous fish, Water, 11, art. no. 2441, 2019. doi.org/10.3390/w11122441

82-19   Shubing Dai, Yong He, Jijian Yang, Yulei ma, Sheng Jin, and Chao Liang, Numerical study of cascading dam-break characteristics using SWEs and RANS, Water Supply, 2019. doi.org/10.2166/ws.2019.168

81-19   Kyong Oh Baek, Evaluation technique for efficiency of fishway based on hydraulic analysis, Journal of Korea Water Resources Association, 52.spc2, pp. 855-863, 2019. doi.org/10.3741/JKWRA.2019.52.S-2.855

80-19   Yongye Li, Yuan Gao, Xiaomeng Jia, Xihuan Sun, and Xuelan Zhang, Numerical simulations of hydraulic characteristics of a flow discharge measurement process with a plate flowmeter in a U-channel, Water, art. no. 2392, 2019. doi.org/10.3390/w11112382

76-19   Youtong Rong, Ting Zhang, Yanchen Zheng, Chunqi Hu, Ling Peng, and Ping Feng, Three-dimensional urban flood inundation simulation based on digital aerial photogrammetry, Journal of Hydrology, in press, 2019. doi.org/10.1016/j.jhydrol.2019.124308

74-19   Youtong Rong, Ting Zhang, Ling Peng, and Ping Feng, Three-dimensional numerical simulation of dam discharge and flood routing in Wudu Reservoir, Water, 11, art. no. 2157, 2019. doi.org/10.3390/w11102157

70-19   Le Thi Thu Hien, Study the flow over chute spillway by both numerical and physical models, Proceedings, pp. 845-851, 10th International Conference on Asian and Pacific Coasts (APAC 2019), Hanoi, Vietnam, September 25-28, 2019. doi.org/10.1007/978-981-15-0291-0_116

69-19   T. Vinh Cuong, N. Thanh Hung, V. Thanh Te, P. Anh Tuan, Analysis of spur dikes spatial layout to river bed degradation under reversing tidal flow, Proceedings, pp. 737-744, 10th International Conference on Asian and Pacific Coasts (APAC 2019), Hanoi, Vietnam, September 25-28, 2019. doi.org/10.1007/978-981-15-0291-0_101

67-19   Zongshi Dong, Junxing Wang, David Florian Vetsch, Robert Michael Boes, and Guangming Tan, Numerical simulation of air–water two-phase flow on stepped spillways behind X-shaped flaring gate piers under very high unit discharge, Water, 11, art. no. 1956, 2019. doi.org/10.3390/w11101956

66-19   Tony L. Wahl, Effect of boundary layer conditions on uplift pressures at open offset spillway joints, Sustainable and Safe Dams Around the World: Proceedings, 2019. doi.org/10.1201/9780429319778-182

65-19   John Petrie, Kun Zhang, and Mahmoud Shehata, Numerical simulation of snow deposition around living snow fences, Community Center for Environmentally Sustainable Transportation in Cold Climates (CESTiCC), Project Report, 2019.

64-19   Andrea Franco, Jasper Moernaut, Barbara Schneider-Muntau, Markus Aufleger, Michael Strasser, and Bernhard Gems, Lituya Bay 1958 Tsunami – detailed pre-event bathymetry reconstruction and 3D-numerical modelling utilizing the CFD software FLOW-3D, Natural Hazards and Earth Systems Sciences, under review, 2019. doi.org/10.5194/nhess-2019-285

63-19   J. Patarroyo, D. Damov, D. Shepherd, G. Snyder, M. Tremblay, and M. Villeneuve, Hydraulic design of stepped spillway using CFD supported by physical modelling: Muskrat Falls hydroelectric generating facility, Sustainable and Safe Dams Around the World: Proceedings, , pp. 205-219, 2019. doi.org/10.1201/9780429319778-19

61-19   A.S. Abdurrasheed, K.W. Yusof, E.H. Hussein Alqadami, H. Takaijudin, A.A. Ghani, M.M. Muhammad, A.T. Sholagberu, M.K. Zainalfikry, M. Osman, and M.S. Patel, Modelling of flow parameters through subsurface drainage modules for application in BIOECODS, Water, 11, art. no. 1823, 2019. doi.org/10.3390/w11091823

59-19     Brian Fox and Robert Feurich, CFD analysis of local scour at bridge piers, Proceedings of the Federal Interagency Sedimentation and Hydraulic Modeling Conference (SEDHYD), Reno, Nevada, June 24-28, 2019.

56-19     Pankaj Lawande, Brian Fox, and Anurag Chandorkar, Three dimensional CFD modeling of flow over a tainter gate spillway, International Dam Safety Conference, Bhubaneswar, Odisha, India, February 13-14, 2019.

49-19     Yousef Sangsefidi, Bruce MacVicar, Masoud Ghodsian, Mojtaba Mehraein, Mohammadamin Torabi, and Bruce M. Savage, Evaluation of flow characteristics in labyrinth weirs using response surface methodology, Flow Measurement and Instrumentation, Vol. 69, 2019. doi: 10.1016/j.flowmeasinst.2019.101617

43-19     Gongyun Liao, Zancheng Tang, and Fei Zhu, Self-cleaning performance of double-layer porous asphalt pavements with different granular diameters and layer combinations, 19th COTA International Conference of Transportation, Nanjing, China, July 6-8, 2019.

42-19     Tsung-Chun Ho, Gwo-Jang Hwang, Kao-Shu Hwang, Kuo-Cheng Hsieh, and Lung-Wei Chen, Experimental and numerical study on desilting efficiency of the bypassing tunnel for Nan-Hua reservoir, 3rd International Workshop on Sediment Bypass Tunnels, Taipei, Taiwan, April 9-12, 2019.

41-19     Chang-Ting Hsieh, Sheng-Yung Hsu, and Chin-Pin Ko, Planning of sluicing tunnel in front of the Wushe dam – retrofit the existing water diversion tunnel as an example, 3rd International Workshop on Sediment Bypass Tunnels, Taipei, Taiwan, April 9-12, 2019.

40-19     Chi-Lin Yang, Pang-ku Yang, Fu-June Wang, and Kuo-Cheng Hsieh, Study on the transportation of high-concentration sediment flow and the operation of sediment de-silting in Deji Reservoir, 3rd International Workshop on Sediment Bypass Tunnels, Taipei, Taiwan, April 9-12, 2019.

39-19   Sam Glovik and John Wendelbo, Advanced CFD air entrainment capabilities for baffle drop structure design, NYWEA 91st Annual Meeting, New York, NY, February 3-6, 2019.

36-19     Ahmed M. Helmi, Heba T. Essawy, and Ahmed Wagdy, Three-dimensional numerical study of stacked drop manholes, Journal of Irrigation and Drainage Engineering, Vol. 145, No. 9, 2019. doi: 10.1061/(ASCE)IR.1943-4774.0001414

33-19     M. Cihan Aydin, A. Emre Ulu, and Çimen Karaduman, Investigation of aeration performance of Ilısu Dam outlet using two-phase flow model, Applied Water Science, Vol. 9, No. 111, 2019. doi: 10.1007/s13201-019-0982-0

16-19     Bernard Twaróg, The analysis of the reactive work of the Alden Turbine, Technical Transactions I, Environmental Engineering, 2019. doi: 10.4467/2353737XCT.19.010.10050

14-19     Guodong Li, Xingnan Li, Jian Ning, and Yabing Deng, Numerical simulation and engineering application of a dovetail-shaped bucket, Water, Vol. 11, No. 2, 2019. doi: 10.3390/w11020242

13-19     Ilaria Rendina, Giacomo Viccione, and Leonardo Cascini, Kinematics of flow mass movements on inclined surfaces, Theoretical and Computational Fluid Dynamics, Vol. 33, No. 2, pp. 107-123, 2019. doi: 10.1007/s00162-019-00486-y

10-19     O.K. Saleh, E.A. Elnikhely, and Fathy Ismail, Minimizing the hydraulic side effects of weirs construction by using labyrinth weirs, Flow Measurement and Instrumentation, Vol. 66, pp. 1-11, 2019. doi: 10.1016/j.flowmeasinst.2019.01.016

05-19   Hakan Ersoy, Murat Karahan, Kenan Gelişli, Aykut Akgün, Tuğçe Anılan, M. Oğuz Sünnetci, Bilgehan Kul Yahşi, Modelling of the landslide-induced impulse waves in the Artvin Dam reservoir by empirical approach and 3D numerical simulation, Engineering Geology, Vol. 249, pp. 112-128, 2019. doi: 10.1016/j.enggeo.2018.12.025

96-18     Kyung-Seop Sin, Robert Ettema, Christopher I. Thornton, Numerical modeling to assess the influence of bendway weirs on flow distribution in river beds, Task 4 of Study: Native Channel Topography and Rock-Weir Structure Channel-Maintenance Techniques, U.S. Dept. of the Interior. CSU-HYD Report No. 2018-1, 2018.

95-18   Thulfikar Razzak Al-Husseini, Hayder A. Al-Yousify and Munaf A. Al-Ramahee, Experimental and numerical study of the effect of the downstream spillway face’s angle on the stilling basin’s energy dissipation, International Journal of Civil Engineering and Technology, 9.8, pp. 1327-1337, 2018.

94-18   J. Michalski and J. Wendelbo, Utilizing CFD methods as a forensic tool in pipeline systems to assess air/water transient issues, Proceedings, 7, pp. 5519-5527, 91st Water Environment Federation Technical Exhibition & Conference (WEFTEC), New Orleans, LA, United States, September 29 – October 3, 2018. doi.org/10.2175/193864718825138817

79-18 Harold Alvarez and John Wendelbo, Estudio de 3 modelos matemáticos para similar olas producidas por derrumbes en embalses y esfuerzos en compuertas, XXVIII Congreso Latinoamericano de Hidráulica, Buenos Aires, Argentina, September 2018. (In Spanish)

70-18   Michael Pfister, Gaetano Crispino, Thierry Fuchsmann, Jean-Marc Ribi and Corrado Gisonni, Multiple inflow branches at supercritical-type vortex drop shaft, Journal of Hydraulic Engineering, Vol. 144, No. 11, 2018. doi.org/10.1061/(ASCE)HY.1943-7900.0001530

67-18   F. Nunes, J. Matos and I. Meireles, Numerical modelling of skimming flow over small converging spillways, 3rd International Conference on Protection against Overtopping, June 6-8, 2018, Grange-over-Sands, UK, 2018.

66-18   Maria João Costa, Maria Teresa Ferreira, António N. Pinheiro and Isabel Boavida, The potential of lateral refuges for Iberian barbel under simulated hydropeaking conditions, Ecological Engineering, Vol. 124, 2018. doi.org/10.1016/j.ecoleng.2018.07.029

63-18   Michael J. Seluga, Frederick Vincent, Samuel Glovick and Brad Murray, A new approach to hydraulics in baffle drop shafts to address dry and wet weather flow in combined sewer tunnels, North American Tunneling Conference Proceedings, June 24-27, 2018, Washington, D.C. pp. 448-461, 2018. © Society for Mining, Metallurgy & Exploration

62-18   Ana Quaresma, Filipe Romão, Paulo Branco, Maria Teresa Ferreira and António N. Pinheiro, Multi slot versus single slot pool-type fishways: A modelling approach to compare hydrodynamics, Ecological Engineering, Vol. 122, pp. 197-206, 2018. doi.org/10.1016/j.ecoleng.2018.08.006

57-18   Amir Isfahani, CFD modeling of piano key weirs using FLOW-3D, International Dam Safety Conference, January 23-24, 2018, Thiruvananthapuram, Kerala, India; Technical Session 1A, Uncertainties and Risk Management in Dams, 2018.

49-18   Jessica M. Thompson, Jon M. Hathaway and John S. Schwartz, Three-dimensional modeling of the hydraulic function and channel stability of regenerative stormwater conveyances, Journal of Sustainable Water in the Built Environment, vol. 4, no.3, 2018. doi.org/10.1061/JSWBAY.0000861

46-18   A.B. Veksler and S.Z. Safin, Hydraulic regimes and downstream scour at the Kama Hydropower Plant, Power Technology and Engineering, vol. 51, no. 5, pp. 2-13, 2018. doi.org/10.1007/s10749-018-0862-z

45-18   H. Omara and A. Tawfik, Numerical study of local scour around bridge piers, 9th Annual Conference on Environmental Science and Development, Paris, France, Feb. 7-9, 2018; IOP Conference Series: Earth and Environmental Sciences, vol. 151, 2018. doi.org:10.1088/1755-1315/151/1/012013

40-18   Vincent Libaud, Christophe Daux and Yanis Oukid, Practical Capacities and Challenges of 3D CFD Modelling: Feedback Experience in Engineering Projects, Advances in Hydroinformatics, pp. 767-780, 2018. doi.org/10.1007/978-981-10-7218-5_55

39-18   Khosro Morovati and Afshin Eghbalzadeh, Study of inception point, void fraction and pressure over pooled stepped spillways using FLOW-3D, International Journal of Numerical Methods for Heat & Fluid Flow, vol. 28, no. 4, pp.982-998, 2018. doi.org/10.1108/HFF-03-2017-0112

34-18   Tomasz Siuta, The impact of deepening the stilling basin on the characteristics of hydraulic jump, Technical Transactions, vol. 3, pp. 173-186, 2018.

32-18   Azin Movahedi, M.R. Kavianpour, M. R and Omid Aminoroayaie Yamini, Evaluation and modeling scouring and sedimentation around downstream of large dams, Environmental Earth Sciences, vol. 77, no. 8, pp. 320, 2018. doi.org/10.1007/s12665-018-7487-2

31-18   Yang Song, Ling-Lei Zhang, Jia Li, Min Chen and Yao-Wen Zhang, Mechanism of the influence of hydrodynamics on Microcystis aeruginosa, a dominant bloom species in reservoirs, Science of The Total Environment, vol. 636, pp. 230-239, 2018. doi.org/10.1016/j.scitotenv.2018.04.257

30-18   Shaolin Yang, Wanli Yang, Shunquan Qin, Qiao Li and Bing Yang, Numerical study on characteristics of dam-break wave, Ocean Engineering, vol. 159, pp.358-371, 2018. doi.org/10.1016/j.oceaneng.2018.04.011

27-18   Rachel E. Chisolm and Daene C. McKinney, Dynamics of avalanche-generated impulse waves: three-dimensional hydrodynamic simulations and sensitivity analysis, Natural Hazards and Earth System Sciences, vol. 18, pp. 1373-1393, 2018. doi.org/10.5194/nhess-18-1373-2018.

24-18   Han Hu, Zhongdong Qian, Wei Yang, Dongmei Hou and Lan Du, Numerical study of characteristics and discharge capacity of piano key weirs, Flow Measurement and Instrumentation, vol. 62, pp. 27-32, 2018. doi.org/10.1016/j.flowmeasinst.2018.05.004

23-18   Manoochehr Fathi-Moghaddam, Mohammad Tavakol Sadrabadi and Mostafa Rahmanshahi, Numerical simulation of the hydraulic performance of triangular and trapezoidal gabion weirs in free flow condition, Flow Measurement and Instrumentation, vol. 62, pp. 93-104, 2018. doi.org/10.1016/j.flowmeasinst.2018.05.005

22-18   Anastasios I.Stamou, Georgios Mitsopoulos, Peter Rutschmann and Minh Duc Bui, Verification of a 3D CFD model for vertical slot fish-passes, Environmental Fluid Mechanics, June 2018. doi.org/10.1007/s10652-018-9602-z

17-18   Nikou Jalayeri, John Wendelbo, Joe Groeneveld, Andrew John Bearlin, and John Gulliver, Boundary dam total dissolved gas analysis using a CFD model, Proceedings from the U.S. Society on Dams Annual Conference, April 30 – May 4, 2018, © 2018 U.S. Society on Dams.

12-18   Bernard Twaróg, Interaction between hydraulic conditions and structures – fluid structure interaction problem solving. A case study of a hydraulic structure, Technical Transactions 2/2018, Environmental Engineering, DOI: 10.4467/2353737XCT.18.029.8002

06-18   Oscar Herrera-Granados, Turbulence Flow Modeling of One-Sharp-Groyne Field, © Springer International Publishing AG 2018, M. B. Kalinowska et al. (eds.), Free Surface Flows and Transport Processes, GeoPlanet: Earth and Planetary Sciences, https://doi.org/10.1007/978-3-319-70914-7_12

05-18  Shangtuo Qian, Jianhua Wu, Yu Zhou and Fei Ma, Discussion of “Hydraulic Performance of an Embankment Weir with Rough Crest” by Stefan Felder and Nushan Islam, J. Hydraul. Eng., 2018, 144(4): 07018003, © ASCE.

04-18   Faezeh Tajabadi, Ehsan Jabbari and Hamed Sarkardeh, Effect of the end sill angle on the hydrodynamic parameters of a stilling basin, DOI 10.1140/epjp/i2018-11837-y, Eur. Phys. J. Plus (2018) 133: 10

03-18   Dhemi Harlan, Dantje K. Natakusumah, Mohammad Bagus Adityawan, Hernawan Mahfudz and Fitra Adinata, 3D Numerical Modeling of Flow in Sedimentation Basin, MATEC Web of Conferences 147, 03012 (2018), https://doi.org/10.1051/matecconf/201814703012 SIBE 2017

02-18   ARKAN IBRAHIM, AZHEEN KARIM and Mustafa GÜNAL, Simulation of local scour development downstream of broad-crested weir with inclined apron, European Journal of Science and Technology Special Issue, pp. 57-61, January 2018, Copyright © 2017 EJOSAT.

62-17   Abbas Mansoori, Shadi Erfanian and Farhad Khamchin Moghadam, A study of the conditions of energy dissipation in stepped spillways with A-shaped step using FLOW-3D, Civil Engineering Journal, 3.10, 2017.

57-17   Ben Modra, Brett Miller, Nigel Moon and Andrew Berghuis, Physical model testing of a bespoke articulated concrete block (ACB) fishway, 13th Hydraulics in Water Engineering Conference, Sydney, Nov. 13-18, 2017; Engineers Australia, pp. 301-309, 2017.

53-17   C. Gonzalez, U. Baeumer and C. Russell, Natural disaster relief and recovery arrangements Fitzroy project, bridge scour remediation, 13th Hydraulics in Water Engineering Conference, Sydney. Nov. 13-18, 2017; Engineers Australia, pp. 274-281, 2017.

52-17   Nigel Moon, Russell Merz, Sarah Luu and Daley Clohan, Utilising CFD modelling to conceptualise a novel rock ramp fishway design, 13th Hydraulics in Water Engineering Conference, Sydney, Nov. 13-18, 2017; Engineers Australia, pp. 382-389, 2017.

50-17   B.M. Crookston, R.M. Anderson and B.P. Tullis, Free-flow discharge estimation method for Piano Key weir geometries, Journal of Hydro-environment Research (2017), http://dx.doi.org/10.1016/j.jher.2017.10.003.

48-17   Jian Zhou, Physics of Environmental Flows Interacting with Obstacles, PhD Thesis: Colorado State University, Copyright by Jian Zhou 2017, All Rights Reserved.

46-17   Michael Sturn, Bernhard Gems, Markus Aufleger, Bruno Mazzorana, Maria Papathoma-Köhle and Sven Fuchs, Scale Model Measurements of Impact Forces on Obstacles Induced by Bed-load Transport Processes, Proceedings of the 37th IAHR World Congress August 13 – 18, 2017, Kuala Lumpur, Malaysia.

43-17   Paula Beceiro, Maria do Céu Almeida and Jorge Matos, Numerical modelling of air-water flows in sewer drops, Available Online 28 April 2017, wst2017246; DOI: 10.2166/wst.2017.246

42-17   Arnau Bayon, Juan Pablo Toro,  Fabián A.Bombardelli, Jorge Matose and Petra Amparo López-Jiménez, Influence of VOF technique, turbulence model and discretization scheme on the numerical simulation of the non-aerated, skimming flow in stepped spillways, Journal of Hydro-environment Research, Available online 26 October 2017

40-17   Sturm M, Gems B, Mazzorana B, Gabl R and Aufleger M, Validation of physical and 3D numerical modelling of hydrodynamic flow impacts on objects (Validierung experimenteller und 3-D-numerischer Untersuchungen zur Einwirkung hydrodynamischer Fließprozesse auf Objekte), Bozen-Bolzano Institutional Archive (BIA), ISSN: 0043-0978, https://bia.unibz.it/handle/10863/3893, 2017

38-17   Tsung-Hsien Huang, Chyan-Deng Jan, and Yu-Chao Hsu, Numerical Simulations of Water Surface Profiles and Vortex Structure in a Vortex Settling Basin by using FLOW-3D, Journal of Marine Science and Technology, Vol. 25, No. 5, pp. 531-542 (2017) 531, DOI: 10.6119/JMST-017-0509-1

36-17   Jacob van Alwon, Duncan Borman and Andrew Sleigh, Numerical Modelling of Aerated Flows Over Stepped Spillways, 37th IAHR World Congress, 2017.

35-17   Abolfazl Nazari Giglou, John Alex Mccorquodale and Luca Solari, Numerical study on the effect of the spur dikes on sedimentation pattern, Ain Shams Engineering Journal, Available online 8 March 2017.

33-17   Giovanni De Cesare, Khalid Essyad, Paloma Furlan, Vu Nam Khuong, Sean Mulligan, Experimental study at prototype scale of a self-priming free surface siphon, Congrès SHF : SIMHYDRO 2017, Nice, 14-16 June

32-17   Kathryn Plymesser and Joel Cahoon, Pressure gradients in a steeppass fishway using a computational fluid dynamics model, Ecological Engineering 108 (2017) 277–283.

31-17   M. Ghasemi, S. Soltani-Gerdefaramarzi, The Scour Bridge Simulation around a Cylindrical Pier Using FLOW-3D, Journal of Hydrosciences and Environment 1(2): 2017 46-54

27-17   John Wendelbo and Brian Fox, CFD modeling of Piano Key weirs: validation and numerical parameter space analysis, 2017 Dam Safety, San Antonio, September 10-14, 2017, Copyright © 2017 Association of State Dam Safety Officials, Inc. All Rights Reserved.

26-17   Brian Fox and John Wendelbo, Numerical modeling of Piano Key Weirs using FLOW-3D, USSD Annual Conference, Anaheim, CA, April 3- 7, 2017

25-17   Rasoul Daneshfaraz, Sina Sadeghfam and Ali Ghahramanzadeh, Three-dimensional Numerical Investigation of Flow through Screens as Energy Dissipators, Canadian Journal of Civil Engineering, https://doi.org/10.1139/cjce-2017-0273

23-17   J.M, Duguay, R.W.J. Lacey and J. Gaucher, A case study of a pool and weir fishway modeled with OpenFOAM and FLOW-3D, Ecological Engineering, Volume 103, Part A, June 2017, Pages 31-42

22-17   Hanif Pourshahbaz, Saeed Abbasi and Poorya Taghvaei, Numerical scour modeling around parallel spur dikes in FLOW-3D, https://doi.org/10.5194/dwes-2017-21, Drinking Water Engineering and Science, © Author(s) 2017

21-17   Hamid Mirzaei, Zohreh Heydari and Majid Fazli, The effect of meshing and comparing different models of turbulence in topographic prediction of bed and amplitude of flow around the groin in 90-degree arc with movable bed, Modeling Earth Systems and Environment, pp 1–16, July 2017

13-17   Lan Qi, Hui Chen, Xiao Wang, Wencai Fei and Donghai Liu, Establishment and application of three-dimensional realistic river terrain in the numerical modeling of flow over spillways, Water Science & Technology: Water Supply | in press | 2017.

11-17   Allison, M.A., Yuill, B.T., Meselhe, E.A., Marsh, J.K., Kolker, A.S., Ameen, A.D., Observational and numerical particle tracking to examine sediment dynamics in a Mississippi River delta diversion, Estuarine, Coastal and Shelf Science (2017), doi: 10.1016/j.ecss.2017.06.004.

09-17   Hamid Mirzaei, Zohreh Heydari and Majid Fazli, The effect of meshing and comparing different turbulence models in predicting the topography of bed and flow field in the 90 degree bend with moving bed, M. Model. Earth Syst. Environ. (2017). doi:10.1007/s40808-017-0336-6

03-17   Luis G. Castillo and José M. Carrillo, Comparison of methods to estimate the scour downstream of a ski jump, Civil Engineering Department, Universidad Politécnica de Cartagena, UPCT Paseo Alfonso XIII, 52 – 30203 Cartagena, Spain, International Journal of Multiphase Flow 92 (2017) 171–180.

103-16 Daniel Valero and Rafael Garcia-Bartual, Calibration of an Air Entrainment Model for CFD Spillway Applications, Advances in Hydroinformatics, P. Gourbesville et al. (eds), pp. 571-582, 2016. doi.org/10.1007/978-981-287-615-7_38

97-16   M. Taghavi and H. Ghodousi, A Comparison on Discharge Coefficients of Side and Normal Weirs with Suspended Flow Load using FLOW-3D, Indian Journal of Science and Technology, Vol 9(3), doi.org/10.17485/ijst/2016/v9i3/78537, January 2016.

96-16   Luis G. Castillo and José M. Carrillo, Scour, Velocities and Pressures Evaluations Produced by Spillway and Outlets of Dam, Water 2016, 8(3), 68; doi.org/10.3390/w8030068.

95-16   Majid Heydari and Alireza KhoshKonesh, The Comparison of the Performance of Prandtl Mixing Length, Turbulence Kinetic Energy, K-e, RNG and LES Turbulence Models in Simulation of the Positive Wave Motion Caused by Dam Break on the Erodible Bed, Indian Journal of Science and Technology, Vol 9(7), 2016. doi.org/10.17485/ijst/2016/v9i7/87856

93-16   Saleh I. Khassaf, Ali N. Attiyah and Hayder A. Al-Yousify, Experimental investigation of compound side weir with modeling using computational fluid dynamic, International Journal of Energy and Environment, Volume 7, Issue 2, 2016 pp.169-178

92-16   Jason Duguay and Jay Lacey, Modeling: OpenFOAM CFD Modeling Case Study of a Pool and Weir Fishway with Implications for Free-Surface Flows, International Conference on Engineering and Ecohydrology for Fish Passage 2016

90-16   Giacomo Viccione, Vittorio Bovolin and Eugenio Pugliese Carratelli, A numerical investigation of liquid impact on planar surfaces, ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering, Greece, June 2016.

89-16   Giacomo Viccione, A numerical investigation of flow dynamics over a trapezoidal smooth open channel, ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering, Greece, June 2016.

87-16  Jian Zhou and Subhas K. Venayagamoorthy, Numerical simulations of intrusive gravity currents interacting with a bottom-mounted obstacle in a continuously stratified ambient, Environmental Fluid Mechanics, 17; 191–209, 2016. doi: 10.1007/s10652-016-9454-3

86-16   Charles R. Ortloff, Similitude in Archaeology: Examining Agricultural System Science in PreColumbian Civilizations of Ancient Peru and Bolivia, Hydrol Current Res 7:259. doi: 10.4172/2157-7587.1000259, October 2016.

85-16   Charles R. Ortloff, New Discoveries and Perspectives on Water Management at 300 Bc – Ad 1100 Tiwanaku’s Urban Center (Bolivia), MOJ Civil Eng 1(3): 00014. DOI: 10.15406/mojce.2016.01.00014.

82-16   S. Paudel and N. Saenger, Grid refinement study for three dimensional CFD model involving incompressible free surface flow and rotating object, Computers & Fluids, Volume 143, http://dx.doi.org/10.1016/j.compfluid.2016.10.025, 17 January 2017, Pages 134–140

77-16   José A. Vásquez, Daniel M. Robb, MODELACIÓN CFD DE ROTURA DE PRESAS EN PRESENCIA DE OBSTÁCULOS, XXVII CONGRESO LATINOAMERICANO DE HIDRÁULICA, LIMA, PERÚ, 28 AL 30 DE SETIEMBRE DE 2016.

76-16   José A. Vásquez and Guilherme de Lima, MODELACIÓN CFD DE ONDAS TSUNAMI EN RESERVORIOS, LAGOS Y MINAS CAUSADAS POR DESLIZAMIENTOS DE LADERAS, XXVII CONGRESO LATINOAMERICANO DE HIDRÁULICA, LIMA, PERÚ, 28 AL 30 DE SETIEMBRE DE 2016.

75-16   Bernhard Gems, Bruno Mazzorana, Thomas Hofer, Michael Sturm, Roman Gabl and Markus Aufleger, 3-D hydrodynamic modelling of flood impacts on a building and indoor flooding processes, Nat. Hazards Earth Syst. Sci., 16, 1351-1368, 2016, http://www.nat-hazards-earth-syst-sci.net/16/1351/2016/, doi:10.5194/nhess-16-1351-2016 © Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.

74-16   Roman Gabl, Jakob Seibl, Manfred Pfeifer, Bernhard Gems and Markus Aufleger, 3D-numerische Modellansätze für die Berechnung von Lawineneinstößen in Speicher (Concepts to simulate avalanche impacts into a reservoir based on 3D-numerics), Österr Wasser- und Abfallw (2016). doi:10.1007/s00506-016-0346-z.

73-16   Sebastian Krzyzagorski, Roman Gabl, Jakob Seibl, Heidi Böttcher and Markus Aufleger, Implementierung eines schräg angeströmten Rechens in die 3D-numerische Berechnung mit FLOW-3D (Implementation of an angled trash rack in the 3D-numerical simulation with FLOW-3D), Österr Wasser- und Abfallw (2016) 68: 146. doi:10.1007/s00506-016-0299-2.

71-16   Khosro Morovati, Afshin Eghbalzadeh and Saba Soori, Numerical Study of Energy Dissipation of Pooled Stepped Spillways, Civil Engineering Journal Vol. 2, No. 5, May, 2016.

66-16   Sooyoung Kim, Seo-hye Choi and Seung Oh Lee, Analysis of Influence for Breach Flow According to Asymmetry of Breach Cross-section, Journal of the Korea Academia-Industrial cooperation Society, Vol. 17, No. 5 pp. 557-565, 2016, http://dx.doi.org/10.5762/KAIS.2016.17.5.557, ISSN 1975-4701 / eISSN 2288-4688.

65-16   Dae-Geun Kim, Analysis of Overflow Characteristics around a Circular-Crested Weir by Using Numerical Model, Journal of Korean Society of Water and Wastewater Vol. 30, No. 2, April 2016.

63-16   Farzad Ferdos and Bijan Dargahi, A study of turbulent flow in largescale porous media at high Reynolds numbers. Part II: flow physics, Journal of Hydraulic Research, 2016, DOI: 10.1080/00221686.2016.1211185.

62-16   Farzad Ferdos and Bijan Dargahi, A study of turbulent flow in largescale porous media at high Reynolds numbers. Part I: numerical validation, Journal of Hydraulic Research, 2016, DOI: 10.1080/00221686.2016.1211184.

60-16   Chia-Lin Chiu, Chia-Ming Fan and Shun-Chung Tsung, Numerical modeling for  periodic oscillation of free overfall in a vertical drop pool, DOI: 10.1061/(ASCE)HY.1943-7900.0001236. © 2016 American Society of Civil Engineers.

54-16   Serife Yurdagul Kumcu, Investigation of Flow Over Spillway Modeling and Comparison between Experimental Data and CFD Analysis, KSCE Journal of Civil Engineering, (0000) 00(0):1-10, Copyright 2016 Korean Society of Civil Engineers, DOI 10.1007/s12205-016-1257-z.

52-16   Gharehbaghi, A., Kaya, B. and Saadatnejadgharahassanlou, Two-Dimensional Bed Variation Models Under Non-equilibrium Conditions in Turbulent Streams, H. Arab J Sci Eng (2016). doi:10.1007/s13369-016-2258-4

48-16   M. Mohsin Munir, Taimoor Ahmed, Javed Munir and Usman Rasheed, Application of Computational Flow Dynamics Analysis for Surge Inception and Propagation for Low Head Hydropower Projects, Proceedings of the Pakistan Academy of Sciences: Pakistan Academy of Sciences, A. Physical and Computational Sciences 53 (2): 177–185 (2016), Copyright © Pakistan Academy of Sciences

46-16   Manuel Gómez, Joan Recasens, Beniamino Russo and Eduardo Martínez-Gomariz, Assessment of inlet efficiency through a 3D simulation: numerical and experimental comparison, wst2016326; DOI: 10.2166/wst.2016.326, August 2016

45-16   Chia-Ying Chang, Frederick N.-F. Chou, Yang-Yih Chen, Yi-Chern Hsieh, Chia-Tzu Chang, Analytical and experimental investigation of hydrodynamic performance and chamber optimization of oscillating water column system, Energy 113 (2016) 597-614

42-16   Bung, D. and Valero, D., Application of the Optical Flow Method to Velocity Determination, In B. Crookston & B. Tullis (Eds.), Hydraulic Structures and Water System Management, 6th IAHR International Symposium on Hydraulic Structures, Portland, OR, 27-30 June 2016, doi:10.15142/T3150628160853 (ISBN 978-1-884575-75-4).

41-16   Valero, D., Bung, D., Crookston, B. and Matos, J., Numerical investigation of USBR type III stilling basin performance downstream of smooth and stepped spillways, In B. Crookston & B. Tullis (Eds.), Hydraulic Structures and Water System Management. 6th IAHR International Symposium on Hydraulic Structures, Portland, OR, 27-30 June 2016, doi:10.15142/T340628160853 (ISBN 978-1-884575-75-4).

40-16   Bruce M. Savage, Brian M. Crookston and Greg S. Paxson, Physical and Numerical Modeling of Large Headwater Ratios for a 15° Labyrinth Spillway, J. Hydraul. Eng., 10.1061/(ASCE)HY.1943-7900.0001186, 04016046.

36-16   Kai-Wen Hsiao, Yu-Chao Hsu, Chyan-Deng Jan, and Yu-Wen Su, Characteristics of Hydraulic Shock Waves in an Inclined Chute Contraction by Using Three Dimensional Numerical Model, Geophysical Research Abstracts, Vol. 18, EGU 2016-11505, 2016, EGU General Assembly 2016, © Author(s) 2016. CC Attribution 3.0 License.

34-16   Dunlop, S., Willig, I., Paul, G., Cabinet Gorge Dam Spillway Modifications for TDG Abatement – Design Evolution and Field Performance, In B. Crookston & B. Tullis (Eds.), Hydraulic Structures and Water System Management. 6th IAHR International Symposium on Hydraulic Structures, Portland, OR, 27-30 June, 2016, doi:10.15142/T3650628160853 (ISBN 978-1-884575-75-4).

33-16   Crispino, G., Dorthe, D., Fuchsmann, T., Gisonni, C., Pfister, M., Junction chamber at vortex drop shaft: case study of Cossonay, In B. Crookston & B. Tullis (Eds.), Hydraulic Structures and Water System Management, 6th IAHR International Symposium on Hydraulic Structures, Portland, OR, 27-30 June 2016, doi:10.15142/T350628160853 (ISBN 978-1-884575-75-4).

32-16  Brown, K., Crookston, B., Investigating Supercritical Flows in Curved Open Channels with Three Dimensional Numerical Modeling, In B. Crookston & B. Tullis (Eds.), Hydraulic Structures and Water System Management, 6th IAHR International Symposium on Hydraulic Structures, Portland, OR, 27-30 June, 2016, doi:10.15142/T3580628160853 (ISBN 978-1-884575-75-4).

31-16  Cicero, G, Influence of some geometrical parameters on Piano Key Weir discharge efficiency,In B. Crookston & B. Tullis (Eds.), Hydraulic Structures and Water System Management, 6th IAHR International Symposium on Hydraulic Structures, Portland, OR, 27-30 June, 2016, doi:10.15142/T3320628160853 (ISBN 978-1-884575-75-4).

28-16   Anthoula Gkesouli, Maria Nitsa, Anastasios I. Stamou, Peter Rutschmann and Minh Duc Bui, Modeling the effect of wind in rectangular settling tanks for water supply, DOI: 10.1080/19443994.2016.1195290, Desalination and Water Treatment, June 22, 2016.

27-16   Eugenio Pugliese Carratelli, Giacomo Viccione and Vittorio Bovolin, Free surface flow impact on a vertical wall: a numerical assessment, Theor. Comput. Fluid Dyn., DOI 10.1007/s00162-016-0386-9, February 2016.

25-16   Daniel Valero and Daniel B. Bung, Sensitivity of turbulent Schmidt number and turbulence model to simulations of jets in crossflow, Environmental Modelling & Software 82 (2016) 218e228.

24-16   Il Won Seo, Young Do Kim, Yong Sung Park and Chang Geun Song, Spillway discharges by modification of weir shapes and overflow surroundings, Environmental Earth Sciences, March 2016, 75:496, 14 March 2016

23-16   Du Han Lee, Myounghwan Kim and Dong Sop Rhee, Evacuation Safety Evaluation of Inundated Stairs Using 3D Numerical Simulation, International Journal of Smart Home Vol. 10, No. 3, (2016), pp.149-158 http://dx.doi.org/10.14257/ijsh.2016.10.3.15

22-16   Arnau Bayon, Daniel Valero, Rafael García-Bartual, Francisco Jose Valles-Moran and Amparo Lopez-Jimenez, Performance assessment of OpenFOAM and FLOW-3D in the numerical modeling of a low Reynolds number hydraulic jump, Environmental Modelling & Software 80 (2016) 322e335.

21-16   Shima Bahadori and Mehdi Behdarvandi Askar, Investigating the Effect of Relative Width on Momentum Transfer between Main Channel and Floodplain in Rough Rectangular Compound Channel Sunder Varius Relative Depth Condition, Open Journal of Geology, 2016, 6, 225-231, Published Online April 2016 in SciRes.

18-16   Ali Ahrari,  Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb and  Xiaobo Tan, Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions, COIN Report Number: 2016006

16-16   Elena Battisacco, Giovanni De Cesare and Anton J. Schleiss, Re-establishment of a uniform discharge on the Olympic fountain in Lausanne, Journal of Applied Water Engineering and Research, (2016) DOI: 10.1080/23249676.2016.1163648.

14-16   Shima Bahadori, Mehdi and Behdarvandi Askar, Investigating the Simultaneous Effect of Relative Width and Relative Roughness on Apparent Shear Stress in Symmetric Compound Rectangular Channels, JOURNAL OF CURRENT RESEARCH IN SCIENCE, ISSN 2322-5009 CODEN (USA): JCRSDJ, S (1), 2016: 654-660

12-16   Charles R. Ortloff, Hydraulic Engineering Innovations at 100 BC- AD 300 Nabataean Petra (Jordan), In conference proceedings: De Aquaeductu atque Aqua Urbium Lyciae Pamphyliae Pisidiae. The Legacy of Sextus Julius Frontinus, Antalya, Turkey, G. Wiplinger, ed.  ISBN: 978-90-429-3361-3, 2016 Peeters Publisher, Leuven, Belgium.

11-16 G. Robblee, S. Kees and B.M. Crookston, Schnabel Engineering; and K. Keel, Town of Hillsborough, Ensuring Water Supply Reliability with Innovative PK Weir Spillway Design, 36th USSD Annual Meeting and Conference, Denver, CO, April 11-15, 2016

10-16 Tina Stanard and Victor Vasquez, Freese and Nichols, Inc.; Ruth Haberman, Upper Brushy Creek Water Control and Improvement District; Blake Tullis, Utah State University; and Bruce Savage, Idaho State University, Importance of Site Considerations for Labyrinth Spillway Hydraulic Design — Upper Brushy Creek Dam 7 Modernization, 36th USSD Annual Meeting and Conference, Denver, CO, April 11-15, 2016

09-16 James R. Crowder, Brian M. Crookston, Bradley T. Boyer and J. Tyler Coats, Schnabel Engineering, Cultivating Ingenuity and Safety in Alabama: The Taming of Lake Ogletree Reservoir, 36th USSD Annual Meeting and Conference, Denver, CO, April 11-15, 2016

08-16 Frank Lan, Robert Waddell and Michael Zusi, AECOM; and Brian Grant, Montana DNRC, Replacing Ruby Dam Outlet Uses Computational Fluid Dynamics to Model Energy Dissipation, 36th USSD Annual Meeting and Conference, Denver, CO, April 11-15, 2016

07-16 Elise N. Dombeck, Federal Energy Regulatory Commission, Applications of FLOW-3D for Stability Analyses of Concrete Spillways at FERC Projects, 36th USSD Annual Meeting and Conference, Denver, CO, April 11-15, 2016

06-16   Farhad Ghazizadeh and M. Azhdary Moghaddam, An Experimental and Numerical Comparison of Flow Hydraulic Parameters in Circular Crested Weir Using FLOW-3D, Civil Engineering Journal Vol. 2, No. 1, January, 2016

05-16   Sadegh Dehdar-behbahani and Abbas Parsaie, Numerical modeling of flow pattern in dam spillway’s guide wall. Case study: Balaroud dam, Iran, doi:10.1016/j.aej.2016.01.006, February 2016.

04-16   Oscar Herrera-Granados and Stanisław W. Kostecki, Numerical and physical modeling of water flow over the ogee weir of the new Niedów barrage, DOI: 10.1515/johh-2016-0013, J. Hydrol. Hydromech., 64, 2016, 1, 67–74

03-16   B. Gems, B. Mazzorana, T. Hofer, M. Sturm, R. Gabl, M. Aufleger, 3D-hydrodynamic modelling of flood impacts on a building and indoor flooding processes, Nat. Hazards Earth Syst. Sci. Discuss., doi:10.5194/nhess-2015-326, 2016, Manuscript under review for journal Nat. Hazards Earth Syst. Sci., Published: 19 January 2016 © Author(s) 2016. CC-BY 3.0 License.

124-15 Yousef Sangsefidi, Mojtaba Mehraein, and Masoud Ghodsian, Numerical simulation of flow over labyrinth spillways, Scientia Iranica, Transaction A, 22(5), 1779–1787, 2015.

120-15   Du Han Lee, Myounghwan Kim and Dong Sop Rhee, Analysis of Critical Evacuation Condition on Inundated Stairs Using Numerical Simulation, Advanced Science and Technology Letters Vol.120 (GST 2015), pp.522-525 http://dx.doi.org/10.14257/astl.2015.120.104

119-15  Shiqiang Ye and Paul Toth, Bank Erosion Control at Frederickhouse Dam, Ontario, CDA 2015 Annual Conference, Congrès annuel 2015 de l’ACB, Mississauga, ON, Canada, 2015 Oct 5-8

118-15  D.M. Robb and J.A. Vasquez, Numerical simulation of dam-break flows using depth-averaged hydrodynamic and three-dimensional CFD models, 22nd Canadian Hydrotechnical Conference, Montreal, Quebec, April 29 – May 2, 2015

117-15 Ashkan. Reisi, Parastoo. Salah, and Mohamad Reza. Kavianpour, Impact of Chute Walls Convergence Angle on Flow Characteristics of Spillways using Numerical Modeling, International Journal of Chemical, Environmental & Biological Sciences (IJCEBS), Volume 3, Issue 3 (2015) ISSN 2320–4087 (Online)

115-15  Ivana Vouk, Field and Numerical Investigation of Mixing and Transport of Ammonia in the Ottawa River, Master’s Thesis: Department of Civil Engineering, University of Ottawa, August 2015, © Ivana Vouk, Canada 2016.

113-15   J. Amblard, C. Pams Capoccioni, D. Nivon, L. Mellal, G. De Cesare, T. Ghilardi, M. Jafarnejad and E. Battisacco, Analysis of Ballast Transport in the Event of Overflowing of the Drainage System on High Speed Lines, International Journal of Railway Technology, Volume 4, 2015. doi:10.4203/ijr, t.4.xx.xx , ©Saxe-Coburg Publications, 2015

111-15   Y. Oukid, V. Libaud and C. Daux, 3D CFD modelling of spillways -Practical feedback on capabilities and challenges, Hydropower & Dams Issue Six, 2015

110-15  Zhiyong Zhang and Yuanping Yang, Numerical Study on Onset Condition of Scour Below Offshore Pipeline Under Reversing Tidal Flow, © EJGE, Vol. 20 [2015], Bund. 25

109-15  He Baohua, Numerical Simulation Analysis of Karst Tunnel Water Bursting Movement, © EJGE, Vol. 20 [2015], Bund. 25

105-15   Ali Yıldız and A. İhsan Martı, Comparison of Experimental Study and CFD Analysis of the Flow Under a Sluice Gate, Proceedings of International Conference on Structural Architectural and Civil Engineering Held on 21-22, Nov, 2015, in Dubai, ISBN:9788193137321

104-15  Yehui Zhu and Liquan Xie, Numerical Analysis of Flow Effects on Water Interface over a Submarine Pipeline, Resources, Environment and Engineering II: Proceedings of the 2nd Technical Congress on Resources, Environment and Engineering (CREE 2015, Hong Kong, 25-26 September 2015), Edited by Liquan Xie, CRC Press 2015, Pages 99–104, DOI: 10.1201/b19136-16.

100-15  Yizhou Xiao, Wene Wang, Xiaotao Hu, and Yan Zhou, Experimental and numerical research on portable short-throat flume in the field, Flow Measurement and Instrumentation, doi:10.1016/j.flowmeasinst.2015.11.003, Available online December 8, 2015

99-15   Mehdi Taghavi and Hesam Ghodousi, Simulation of Flow Suspended Load in Weirs by Using FLOW-3D Model, Civil Engineering Journal Vol. 1, No. 1, November 2015

98-15   Azin Movahedi, Ali Delavari and Massoud Farahi, Designing Manhole in Water Transmission Lines Using FLOW-3D Numerical Model, Civil Engineering Journal Vol. 1, No. 1, November 2015

97-15   R. Gabl, J. Seibl, B. Gems, and M. Aufleger, 3-D numerical approach to simulate the overtopping volume caused by an impulse wave comparable to avalanche impact in a reservoir, Nat. Hazards Earth Syst. Sci., 15, 2617-2630, doi:10.5194/nhess-15-2617-2015, 2015.

94-15   Jason Matthew Duguay and Jay Lacey, Numerical Study of an Innovative Fish Ladder Design for Perched Culverts, Canadian Journal of Civil Engineering, 10.1139/cjce-2014-0436, November 2015

92-15   H. A. Hussein, R. Abdulla and  M. A. Md Said, Computational Investigation of Inlet Baffle Height on the Flow in a Rectangular Oil/Water Separator Tanks, Applied Mechanics and Materials, Vol. 802, pp. 587-592, Oct. 2015

91-15   Mahmoud Mohammad Rezapour Tabari and Shiva Tavakoli, Effects of Stepped Spillway Geometry on Flow Pattern and Energy Dissipation, Arabian Journal for Science and Engineering, October 2015

87-15   Erin R. Ryan, Effects of Hydraulic Structures on Fish Passage – An Evaluation of 2D vs 3D Hydraulic Analysis Methods, Master’s Thesis: Civil and Environmental Engineering, Colorado State University, Summer 2015, Copyright by Erin Rose Ryan 2015

79-15   Ana L. Quaresma, Is CFD an efficient tool to develop pool type fishways? International Conference on Engineering and Ecohydrology for Fish Passage. Paper 20, June 24, 2015

78-15   Amir Alavi, Don Murray, Claude Chartrand and Derek McCoy, CFD Modeling Provides Value Engineering, Hydro Review, October 2015

75-15   Rebekka Czerny, Classification of flow patterns in a nature-oriented fishway based on 3D hydraulic simulation results, International Conference on Engineering and Ecohydrology for Fish Passage. Paper 39, June 22, 2015

73-15   Frank Seidel, Hybrid model approach for designing fish ways – example fish lift system at Baldeney/Ruhr and fishway at Geesthacht /Elbet, International Conference on Engineering and Ecohydrology for Fish Passage 2015

72-15   G. Guyot, B. Huber, and A. Pittion-Rossillon, Assessment of a numerical method to forecast vortices with a scaled model, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

71-15   Abbas Parsaie, Amir Hamzeh Haghiabi and Amir Moradinejad, CFD modeling of flow pattern in spillway’s approach channel, Sustainable Water Resources Management, September 2015, Volume 1, Issue 3, pp 245-251

70-15   T. Liepert, A. Kuhlmann, G. Haimer, M.D. Bui and P. Rutschmann, Optimization of Fish Pass Entrance Location at a Hydropower Plant Considering Site-Specific Constraints, Proceedings of the 14th International Conference on Environmental Science and Technology, Rhodes, Greece, 3-5 September 2015

67-15   Alkistis Stergiopoulou and Efrossini Kalkani, Towards a first CFD study of modern horizontal axis Archimedean water current turbines, Volume: 02 Issue: 04, ISO 9001:2008 Certified Journal © 2015, IRJET, July 2015

66-15   Won Choi, Jeongbae Jeon, Jinseon Park, Jeong Jae Lee and Seongsoo Yoon, System reliability analysis of downstream spillways based on collapse of upstream spillways, Int J Agric & Biol Eng, 2015; 8(4): 140－150.

64-15   Szu-Hsien Peng and Chuan Tang, Development and Application of Two-Dimensional Numerical Model on Shallow Water Flows Using Finite Volume Method, Journal of Applied Mathematics and Physics, 2015, 3, 989-996, Published Online August 2015 in SciRes. http://www.scirp.org/journal/jamp, http://dx.doi.org/10.4236/jamp.2015.38121

62-15   Cuneyt Yavuz, Ali Ersin Dincer, Kutay Yilmaz and Samet Dursun, Head Loss Estimation of Water Jets from Flip Bucket of Cakmak-1 Diversion Weir and HEPP, RESEARCH GATE, August 2015 DOI: 10.13140/RG.2.1.3650.5440

54-15   Guo-bin Xu, Li-na Zhao, and Chih Ted Yang, Derivation and verification of minimum energy dissipation rate principle of fluid based on minimum entropy production rate principle, International Journal of Sediment Research, August 2015

50-15   Vafa Khoolosi, Sedat Kabdaşli, and Sevda Farrokhpour, Modeling and Comparison of Water Waves Caused by Landslides into Reservoirs, Watershed Management 2015 © ASCE 2015.

48-15   Mohammad Rostami and Maaroof Siosemarde, Human Life Saving by Simulation of Dam Break using FLOW-3D (A Case Study: Upper Gotvand Dam), www.sciencejournal.in, Volume- 4 Issue- 3 (2015) ISSN: 2319–4731 (p); 2319–5037 (e) © 2015 DAMA International. All rights reserved.

47-15   E. Kolden, B. D. Fox, B. P. Bledsoe and M. C. Kondratieff, Modelling Whitewater Park Hydraulics and Fish Habitat in Colorado, River Res. Applic., doi: 10.1002/rra.2931, 2015

43-15   Firouz Ghasemzadeh, Behzad Parsa, and Mojtaba Noury, Numerical Study of Overflow Capacity of Spillways, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

42-15   Mario Oertel, Numerical Modeling of Free-Surface Flows in Practical Applications, Chapter 8 in Rivers – Physical, Fluvial and Environmental Processes (GeoPlanet: Earth and Planetary Sciences), by Pawel Rowiński and Artur Radecki-Pawlik, July 2, 2015

39-15   R. Gabl, J. Seibl, B. Gems, and M. Aufleger, 3-D-numerical approach to simulate an avalanche impact into a reservoir, Nat. Hazards Earth Syst. Sci. Discuss., 3, 4121–4157, 2015, www.nat-hazards-earth-syst-sci-discuss.net/3/4121/2015/, doi:10.5194/nhessd-3-4121-2015, © Author(s) 2015. CC Attribution 3.0 License.

37-15   Mario Oertel, Discharge Coefficients of Piano Key Weirs from Experimental and Numerical Models, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

36-15   Jessica Klein and Mario Oertel, Comparison between Crossbar Block Ramp and Vertical Slot Fish Pass via Numerical 3D CFD Simulation, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

35-15   Mario Oertel, Jan P. Balmes and Daniel B. Bung, Numerical Simulation of Erosion Processes on Crossbar Block Ramps, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

33-15   Daniel Valero and Daniel B. Bung, Hybrid Investigation of Air Transport Processes in Moderately Sloped Stepped Spillway Flows, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

32-15   Deniz Velioglu, Nuray Denli Tokyay, and Ali Ersin Dincer, A Numerical and Experimental Study on the Characteristics of Hydraulic Jumps on Rough Beds, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

31-15   J.C.C. Amorim, R.C.R. Amante, and V.D. Barbosa, Experimental and Numerical Modeling of Flow in a Stilling Basin, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

30-15   Luna B.J. César, Salas V. Christian, Gracia S. Jesús, and Ortiz M. Victor, Comparative Analysis of the Modification of Turbulence and Its Effects on a Trapezoidal Section Stilling Basin, E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

27-15   L. Castillo, J. Carrillo, and M. Álvarez, Complementary Methods for Determining the Sedimentation and Flushing in a Reservoir, J. Hydraul. Eng., 10.1061/(ASCE)HY.1943-7900.0001050 , 05015004, 2015.

22-15   Mohammad Vaghefi, Mohammad Shakerdargah and Maryam Akbari, Numerical investigation of the effect of Froude number on flow pattern around a submerged T-shaped spur dike in a 90º bend, © Turkish Journal of Engineering & Environmental Sciences, 03.04.2015, doi:10.3906/muh-1405-2

18-15   S. Michael Scurlock, Amanda L. Cox, Drew C. Baird, Christopher I. Thornton and Steven R. Abt, Hybrid Modeling of River Training Structures in Sinuous Channels, SEDHYD 2015, Joint 10th Federal Interagency Sedimentation Conference, 5th Federal Interagency Hydrologic Modeling Conference, April 19-23, 2015, Reno, Nevada

13-15   Selahattin Kocaman and Hatice Ozmen-Cagatay, Investigation of dam-break induced shock waves impact on a vertical wall, Journal of Hydrology (2015), doi: http://dx.doi.org/10.1016/j.jhydrol.2015.03.040.

12-15   Nguyen Cong Thanh and Wang Ling-Ling, Physical and Numerical Model of Flow through the Spillways with a Breast Wall, KSCE Journal of Civil Engineering (0000) 00(0):1-8, Copyright 2015 Korean Society of Civil Engineers, DOI 10.1007/s12205-015-0742-0, April 10, 2015.

10-15   Yueping Yin, Bolin Huang, Guangning Liu and Shichang Wang, Potential risk analysis on a Jianchuandong dangerous rockmass-generated impulse wave in the Three Gorges Reservoir, China, Environ Earth Sci, DOI 10.1007/s12665-015-4278-x, © Springer-Verlag Berlin Heidelberg 2015

08-15   Yue-ping Yin, Bolin Huang, Xiaoting Chen, Guangning Liu and Shichang Wang, Numerical analysis on wave generated by the Qianjiangping landslide in Three Gorges Reservoir, China, 10.1007/s10346-015-0564-7, © Springer-Verlag Berlin Heidelberg 2015

07-15   M. Vaghefi, A. Ahmadi and B. Faraji, The Effect of Support Structure on Flow Patterns Around T-Shape Spur Dike in 90° Bend Channel, Arabian Journal for Science and Engineering, February 2015,

06-15   Sajjad Mohammadpour Zalaki, Hosein Fathian, Ebrahim Zalaghi and Farhad Kalantar Hormozi, Investigation of hydraulic parameters and cavitation in Kheir Abad flood release structure, Canadian Journal of Civil Engineering, February 2015

04-15  Der-Chang Lo, Jin-Shuen Liou, and Shyy Woei Chang, Hydrodynamic Performances of Air-Water Flows in Gullies with and without Swirl Generation Vanes for Drainage Systems of Buildings, Water 2015, 7(2), 679-696; doi:10.3390/w7020679

01-15   William Daley Clohan, Three-Dimensional Numerical Simulations of Subaerial Landslide Generated Waves, Master’s Thesis: Civil Engineering, The University of British Columbia (Vancouver), January 2015 © William Daley Clohan, 2015. Available upon request.

136-14   Charles R. Ortloff, Hydraulic Engineering in 300 BCE- CE 300 Petra (Jordan), Encyclopedia of Ancient Science, Technology and Medicine in Nonwestern Cultures, Springer Publishing, Berlin Germany, 2014.

135-14   Charles R. Ortloff, Land, Labor, Water and Technology in Precolumbian South America, Encyclopedia of Ancient Science, Technology and Medicine in Nonwestern Cultures, Springer Publishing, Berlin Germany, 2014.

134-14   Charles R. Ortloff, Hydrologic Engineering of the 300 BCE- CE 1100 Precolumbian Tiwanaku State (Bolivia), Encyclopedia of Ancient Science, Technology and Medicine in Nonwestern Cultures, Springer Publishing, Berlin Germany, 2014.

133-14   Charles R. Ortloff, Water engineering at Petra (Jordan): Recreating the decision process underlying hydraulic engineering of the Wadi Mataha pipeline system, Journal of Archaeological Science, April 2014. 44. 91–97. 10.1016/j.jas.2014.01.015.

132-14   Charles R. Ortloff, Hydraulic Engineering in Ancient Peru and Bolivia, Encyclopedia of Ancient Science, Technology and Medicine in Nonwestern Cultures, Springer Publishing, Berlin Germany, 2014.

131-14    Charles R. Ortloff, Water Management in Ancient Peru, Living Reference Work Entry, Encyclopedia of Ancient Science, Technology and Medicine in Nonwestern Cultures, Springer Publishing, Berlin Germany, 2014.

130-14  Kordula Schwarzwälder and Peter Rutschmann, Sampling bacteria with a laser, Geophysical Research Abstracts Vol. 16, EGU2014-15144, 2014 EGU General Assembly 2014 © Author(s) 2014. CC Attribution 3.0 License.

129-14   Kordula Schwarzwälder, Eve Walters and Peter Rutschmann, Bacteria fate and transport in a river, Geophysical Research Abstracts Vol. 16, EGU2014-14022, 2014 EGU General Assembly 2014 © Author(s) 2014. CC Attribution 3.0 License.

127-14   Charles R. Ortloff, Hydraulic Engineering in Petra, Living Reference Work Entry, Encyclopedia of the History of Science, Technology, and Medicine in Non-Western Cultures, pp 1-13, 03 July 2014

124-14  G. Wei. M. Grünzner and F. Semler, Combination of 2D shallow water and full 3D numerical modeling for sediment transport in reservoirs and basins, Reservoir Sedimentation – Schleiss et al. (Eds) © 2014 Taylor & Francis Group, London, ISBN 978-1-138-02675-9.

121-14    A. Bayón-Barrachina, D. Valero, F. Vallès-Morán, and P.A. López-Jiménez, Comparison of CFD Models for Multiphase Flow Evolution in Bridge Scour Processes, 5th International Junior Researcher and Engineer Workshop on Hydraulic Structures, Spa, Belgium, 28-30 August 2014

120-14  D. Valero, R. García-Bartual and J. Marco, Optimisation of Stilling Basin Chute Blocks Using a Calibrated Multiphase RANS Model, 5th International Junior Researcher and Engineer Workshop on Hydraulic Structures, Spa, Belgium, 28-30 August 2014

119-14   R. Gabl, B. Gems, M. Plörer, R. Klar, T. Gschnitzer, S. Achleitner, and M. Aufleger, Numerical Simulations in Hydraulic Engineering, Computational Engineering, 2014, pp 195-224, April 2014

118-14  Kerilyn Ambrosini, Analysis of Flap Gate Design and Implementations for Water Delivery Systems in California and Nevada, BioResource and Agricultural Engineering, BioResource and Agricultural Engineering Department, California Polytechnic State University, San Luis Obispo, 2014

117-14  Amir Moradinejad, Abas Parssai, Mohamad Noriemamzade, Numerical Modeling of Flow Pattern In Kamal Saleh Dam Spillway Approach Channel, App. Sci. Report.10 (2), 2014: 82-89, © PSCI Publications

116-14  Luis G. Castillo and José M. Carrillo, Characterization of the Dynamic Actions and Scour Estimation Downstream of a Dam, 1st International Seminar on Dam Protection against Overtopping and Accidental Leakage, M.Á. Toledo, R. Morán, E. Oñate (Eds), Madrid, 24-25 November 2014

115-14  Luis G. Castillo, José M. Carrillo, Juan T. García, Antonio Vigueras-Rodríguez, Numerical Simulations and Laboratory Measurements in Hydraulic Jumps, 11th International Conference on Hydroinformatics, HIC 2014, New York City, USA

114-14  Du Han Lee, Young Joo Kim, and Samhee Lee, Numerical modeling of bed form induced hyporheic exchange, Paddy and Water Environment, August 2014, Volume 12, Issue 1 Supplement, pp 89-97

112-14  Ed Zapel, Hank Nelson, Brian Hughes, Steve Fry, Options for Reducing Total Dissolved Gas at the Long Lake Hydroelectric Facility, Hydrovision International, July 22-24, 2014, Nashville, TN

111-14  Jason Duguay, Jay Lace, Dave Penny and Ken Hannaford, Evolution of an Innovative Fish Ladder Design to Address Issues of Perched Culverts, 2014 Conference of the Transportation Association of Canada, Montreal, Quebec

106-14   Manuel Gomez and Eduardo Martinez, 1D, 2D and 3D Modeling of a PAC-UPC Laboratory Canal Bend, SimHydro 2014: Modelling of rapid transitory flows, 11-13 June 2014, Sophia Antipolis

105-14 Jason Duguay and Jay Lacey, Numerical Validation of an Innovative Fish Baffle Design in Response to Fish Passage Issues at Perched Culverts, CSPI Technical Bulletin, January 14, 2014

104-14  Di Ning, Di,  A Computational Study on Hydraulic Jumps, including Air Entrainment, Master’s Thesis: Civil and Environmental Engineering, University of California, Davis, 2014, 1569799, Copyright ProQuest, UMI Dissertations Publishing 2014

103-14  S. M. Sayah, S. Bonanni, Ph. Heller, and M. Volpato, Physical and Numerical Modelling of Cerro del Águila Dam -Hydraulic and Sedimentation, DOI: 10.13140/2.1.5042.1122 Conference: Hydro 2014

102-14   Khosrow Hosseini, Shahab Rikhtegar, Hojat Karami, Keivan Bina, Application of Numerical Modeling to Assess Geometry Effect of Racks on Performance of Bottom Intakes, Arabian Journal for Science and Engineering, December 2014

98-14  Aysel Duru, Numerical Modelling of Contracted Sharp Crested Weirs, Master’s Thesis: The Graduate School of Natural and Applied Sciences of Middle East Technical University, November 2014

97-14  M Angulo, S Liscia, A Lopez and C Lucino, Experimental validation of a low-head turbine intake designed by CFD following Fisher and Franke guidelines, 27th IAHR Symposium on Hydraulic Machinery and Systems (IAHR 2014), IOP Publishing, IOP Conf. Series: Earth and Environmental Science 22 (2013) 042014 doi:10.1088/1755-1315/22/4/042014

94-14   Hamidreza Babaali, Abolfazl Shamsai, and Hamidreza Vosoughifar, Computational Modeling of the Hydraulic Jump in the Stilling Basin with ConvergenceWalls Using CFD Codes, Arab J Sci Eng, DOI 10.1007/s13369-014-1466-z, October 2014

93-14   A.J. Vellinga, M.J.B. Cartigny, J.T. Eggenhuisen, E.W.M. Hansen, and R. Rouzairol, Morphodynamics of supercritical-flow bedforms using depth-resolved computational fluid dynamics model, International Association of Sedimentologists, Geneva, 2014.

88-14   Marcelo A. Somos-Valenzuela, Rachel E. Chisolm, Daene C. McKinney, and Denny Rivas, Inundation Modeling of a Potential Glacial Lake Outburst Flood in Huaraz, Peru, CRWR Online Report 14-01, March 2014

84-14   Hossein Shahheydari, Ehsan Jafari Nodoshan, Reza Barati, and Mehdi Azhdary Moghadam, Discharge coefficient and energy dissipation over stepped spillway under skimming flow regime, KSCE Journal of Civil Engineering, 10.1007/s12205-013-0749-3, November 2014

81-14   Gaël Epely-Chauvin, Giovanni De Cesare and Sebastian Schwindt, Numerical Modelling of Plunge Pool Scour Evolution in Non-Cohesive Sediments, Engineering Applications of Computational Fluid Mechanics Vol. 8, No. 4, pp. 477–487 (2014).

79-14   Liquan Xie, Yanhui Xu, and Wenrui Huang, Numerical Study on Hydrodynamic Mechanism of Sediment Trapping by Geotextile Mattress with Sloping Curtain (GMSC), Proceedings of the Eleventh (2014) Pacific/Asia Offshore Mechanics Symposium Shanghai, China, October 12-16, 2014 Copyright © 2014 by The International Society of Offshore and Polar Engineers, ISBN 978–1 880653 90-6: ISSN 1946-004X.

78-14  D. N. Powell and A. A. Khan, Flow Field Upstream of an Orifice under Fixed Bed and Equilibrium Scour Conditions, J. Hydraul. Eng., 10.1061/(ASCE)HY.1943-7900.0000960, 04014076, 2014.

76-14   Berk Sezenöz, Numerical Modelling of Continuous Transverse Grates for Hydraulic Efficiency, Master’s Thesis: The Graduate School of Natural and Applied Sciences of Middle East Technical University, October 2014

75-14   Francesco Calomino and Agostino Lauria, 3-D Underflow of a Sluice Gate at a Channel Inlet; Experimental Results and CFD Simulations, Journal of Civil Engineering and Urbanism, Volume 4, Issue 5: 501-508 (2014)

73-14   Som Dutta, Talia E. Tokyay, Yovanni A. Cataño-Lopera, Sergio Serafinod and Marcelo H. Garcia, Application of computational fluid dynamic modeling to improve flow and grit transport in Terence J. O’Brien Water Reclamation Plant, Chicago, Illinois, Journal of Hydraulic Research, DOI: 10.1080/00221686.2014.949883, October 2014

72-14   Ali Heidari, Poria Ghassemi, Evaluation of step’s slope on energy dissipation in stepped spillway, International Journal of Engineering & Technology, 3 (4) (2014) 501-505, ©Science Publishing Corporation, www.sciencepubco.com/index.php/IJET, doi: 10.14419/ijet.v3i4.3561

70-14   M. Tabatabai, M. Heidarnejad, A. Bordbar, Numerical Study of Flow Patterns in Stilling Basin with Sinusoidal Bed using FLOW-3D Model, Advances in Environmental Biology, 8(13) August 2014, Pages: 787-792

66-14   John S. Schwartz, Keil J. Neff, Frank E. Dworak, Robert R. Woockman, Restoring riffle-pool structure in an incised, straightened urban stream channel using an ecohydraulic modeling approach, Ecol. Eng. (2014), doi.org/10.1016/j.ecoleng.2014.06.002

65-14  Laura Rozumalski and Michael Fullarton, CFD Modeling to Design a Fish Lift Entrance, Hydro Review, July 2014

64-14   Pam Waterman, Scaled for Success: Computational Fluid Dynamics Analysis Prompts Swift Stormwater System Improvements in Indianapolis, WaterWorld, August 2014.

63-14   Markus Grünzner and Peter Rutschmann, Large Eddy Simulation  – Ein Beitrag zur Auflösung turbulenter Strömungsstrukturen in technischen Fischaufstiegshilfen; (LES – resolving turbulent flow in technical fish bypasses), Tagungsband Internationales Symposium in Zurich, Wasser- und Flussbau im Alpenraum, Versuchsanstalt fur Wasserbau, Hydrologie und Glaziologie, ETH Zurich. In German.

62-14   Jason Duguay, Jay Lace, Dave Penny, and Ken Hannaford, Evolution of an Innovative Fish Ladder Design to Address Issues of Perched Culverts, 2014 Conference of the Transportation Association of Canada, Montreal, Quebec

60-14   Kordula Schwarzwälder, Minh Duc Bui, and Peter Rutschmann, Simulation of bacteria transport processes in a river with FLOW-3D, Geophysical Research Abstracts, Vol. 16, EGU2014-12993, 2014, EGU General Assembly 2014, © Author(s) 2014. CC Attribution 3.0 License.

58-14   Eray Usta, Numercial Investigation of Hydraulic Characteristics of Laleili Dam Spillway and Comparison with Physical Model Study, Master’s Thesis: The Graduate School of Natural and Applied Sciences of Middle East Technical University, May 2014

57-14   Selahattin Kocaman, Prediction of Backwater Profiles due to Bridges in a Compound Channel Using CFD, Hindawi Publishing Corporation, Advances in Mechanical Engineering, Volume 2014, Article ID 905217, 9 pages, http://dx.doi.org/10.1155/2014/905217

54-14   Ines C. Meireles, Fabian A. Bombardelli, and Jorge Matos, Air entrainment onset in skimming flows on steep stepped spillways: an analysis, (2014) Journal of Hydraulic Research, 52:3, 375-385, DOI: 10.1080/00221686.2013.878401

53-14   Charles R Ortloff, Groundwater Management in the 300 bce-1100ce Pre-Columbian City of Tiwanaku (Bolivia), Hydrol Current Res 5: 168. doi:10.4172/2157-7587.1000168, 2014

50-14   Mohanad A. Kholdier, Weir-Baffled Culvert Hydrodynamics Evaluation for Fish Passage using Particle Image Velocimetry and Computational Fluid Dynamic Techniques, Ph.D. Thesis: Utah State University (2014). All Graduate Theses and Dissertations. Paper 3078. http://digitalcommons.usu.edu/etd/3078

48-14   Yu-Heng Lin, Study on raceway pond for microalgae culturing system, Master Thesis: Department of Marine Environment and Engineering, National Sun Yat-sen University, August 2014. In Chinese

38-14   David Ingram, Robin Wallacey, Adam Robinsonz and Ian Bryden, The design and commissioning of the first, circular, combined current and wave test basin, Proceedings of Oceans 2014 MTS/IEEE, Taipei, Taiwan, IEEE, April 2014

36-14   Charles R. Ortloff, Hydraulic Engineering in Precolumbian Peru and Bolivia, The Encyclopedia of the History of Science, Technology and Medicine in Non-Western Cultures, Springer-Verlag, Volumes II and III, Heidelberg, Germany, 2014.

35-14   Charles R. Ortloff, Hydraulic Engineering in BC 100- AD 300 Petra (Jordan), The Encyclopedia of the History of Science, Technology and Medicine in Non-Western Cultures, Springer-Verlag, Volumes II and III, Heidelberg, Germany, 2014.

34-14   Charles R. Ortloff, Hydraulic Engineering in Precolumbian Peru and Bolivia, The Encyclopedia of the History of Science, Technology and Medicine in Non-Western Cultures, Springer-Verlag, Volumes II and III, Heidelberg, Germany, 2014.

33-14   Roman Gabl, Bernhard Gems, Giovanni De Cesare, and Markus Aufleger, Contribution to Quality Standards for 3D-Numerical Simulations with FLOW-3D, Wasserwirtschaft (ISSN: 0043-0978), vol. 104, num. 3, p. 15-20, Wiesbaden: Springer Vieweg-Springer Fachmedien Wiesbaden Gmbh, 2014. Available for download at the University of Innsbruck. In German.

31-14   E. Fadaei-Kermani and G.A. Barani, Numerical simulation of flow over spillway based on the CFD method, Scientia Iranica A, 21(1), 91-97, 2014

30-14   Luis G. Castillo  and José M. Carrillo, Scour Analysis Downstream of Paute-Cardenillo Dam, © 3rd IAHR Europe Congress, Book of Proceedings, 2014, Porto, Portugal.

29-14    L. G. Castillo, M. A. Álvarez, and J. M. Carrillo, Numerical modeling of sedimentation and flushing at the Paute-Cardenillo Reservoir, ASCE-EWRI. International Perspective on Water Resources and Environment Quito, January 8-10, 2014

28-14   L. G. Castillo and J. M. Carrillo, Scour estimation of the Paute-Cardenillo Dam, ASCE-EWRI. International Perspective on Water Resources and Environment Quito, January 8-10, 2014.

27-14   Luis G. Castillo, Manual A. Álvarez and José M. Carrillo, Analysis of Sedimentation and Flushing into the Reservoir Paute-Cardenillo, © 3rd IAHR Europe Congress, Book of Proceedings, 2014, Porto, Portugal.

24-14   Carter R. Newell and John Richardson, The Effects of Ambient and Aquaculture Structure Hydrodynamics on the Food Supply and Demand of Mussel Rafts, Journal of Shellfish Research, 33(1):257-272, DOI: http://dx.doi.org/10.2983/035.033.0125, 0125, 2014.

16-14   Han Hu, Jiesheng Huang, Zhongdong Qian, Wenxin Huai, and Genjian Yu, Hydraulic Analysis of Parabolic Flume for Flow Measurement, Flow Measurement and Instrumentation, http://dx.doi.org/10.1016/j.flowmeasinst.2014.03.002, 2014.

14-14   Seung Oh Lee, Sooyoung Kim, Moonil Kim, Kyoung Jae Lim and Younghun Jung, The Effect of Hydraulic Characteristics on Algal Bloom in an Artificial Seawater Canal: A Case Study in Songdo City, South Korea, Water 2014, 6, 399-413; doi:10.3390/w6020399, ISSN 2073-4441, www.mdpi.com/journal/water

13-14   Kathryn Elizabeth Plymesser, Modeling Fish Passage and Energy Expenditure for American Shad in a Steeppass Fishway using Computational Fluid Dynamics, Ph.D. Thesis: Montana State University, January 2014, © Kathryn Elizabeth Plymesser, 2014, All Rights Reserved.

12-14   Sangdo An and Pierre Y. Julien, Three-Dimensional Modeling of Turbid Density Currents in Imha Reservoir, J. Hydraul. Eng., 10.1061/(ASCE)HY.1943-7900.0000851, 05014004, 2014.

09-14   B. Gems, M. Wörndl, R. Gabl, C. Weber, and M. Aufleger, Experimental and numerical study on the design of a deposition basin outlet structure at a mountain debris cone, Nat. Hazards Earth Syst. Sci., 14, 175–187, 2014, www.nat-hazards-earth-syst-sci.net/14/175/2014/, doi:10.5194/nhess-14-175-2014, © Author(s) 2014. CC Attribution 3.0 License.

07-14   Charles R. Ortloff, Water Engineering at Petra (Jordan): Recreating the Decision Process underlying Hydraulic Engineering of the Wadi Mataha Pipeline System, Journal of Archaeological Science, Available online January 2014.

06-14   Hatice Ozmen-Cagatay, Selahattin Kocaman, Hasan Guzel, Investigation of dam-break flood waves in a dry channel with a hump, Journal of Hydro-environment Research, Available online January 2014.

05-14   Shawn P. Clark, Jonathan Scott Toews, and Rob Tkach, Beyond average velocity: Modeling velocity distributions in partially-filled culverts to support fish passage guidelines, International Journal of River Basin Management, DOI: 10.1080/15715124.2013.879591, January 2014.

04-14   Giovanni De Cesare, Martin Bieri, Stéphane Terrier, Sylvain Candolfi, Martin Wickenhäuser and Gaël Micoulet, Optimization of a Shared Tailrace Channel of Two Pumped-Storage Plants by Physical and Numerical Modeling, Advances in Hydroinformatics Springer Hydrogeology 2014, pp 291-305.

03-14   Grégory Guyot, Hela Maaloul and Antoine Archer, A Vortex Modeling with 3D CFD, Advances in Hydroinformatics Springer Hydrogeology 2014, pp 433-444.

02-14   Géraldine Milési and Stéphane Causse, 3D Numerical Modeling of a Side-Channel Spillway, Advances in Hydroinformatics Springer Hydrogeology 2014, pp 487-498.

01-14   Mohammad R. Namaee, Mohammad Rostami, S. Jalaledini and Mahdi Habibi, A 3-Dimensional Numerical Simulation of Flow Over a Broad-Crested Side Weir, Advances in Hydroinformatics, Springer Hydrogeology 2014, pp 511-523.

104-13   Alireza Nowroozpour, H. Musavi Jahromi and A. Dastgheib, Studying different cases of wedge shape deflectors on energy dissipation in flip bucket using CFD model, Proceedings, 6th International Perspective on Water Resources & the Environment Conference (IPWE), Izmir, Turkey, January 7-9, 2013.

102-13   Shari Dunlop, Isaac Willig and Roger L. Kay, Emergency Response to Erosion at Fort Peck Spillway: Hydraulic Analysis and Design, ICOLD 2013 International Symposium, Seattle, WA.

101-13   Taeho Kang and Heebeom Shin, Dam Emergency Action Plans in Korea, ICOLD 2013 International Symposium, Seattle, WA.

100-13   John Hess, Jeffrey Wisniewski, David Neff and Mike Forrest, A New Auxiliary Spillway for Folsom Dam, ICOLD 2013 International Symposium, Seattle, WA.

98-13   Neda Sharif and Amin Rostami Ravori, Experimental and Numerical Study of the Effect of Flow Separation on Dissipating Energy in Compound Bucket, 2013 5th International Conference on Chemical, Biological and Environmental Engineering (ICBEE 2013); 2013 2nd International Conference on Civil Engineering (ICCEN 2013)

97-13  A. Stergiopoulou, V. Stergiopoulos, and E. Kalkani, Contributions to the Study of Hydrodynamic Behaviour of Innovative Archimedean Screw Turbines Recovering the Hydropotential of Watercourses and of Coastal Currents, Proceedings of the 13th International Conference on Environmental Science and Technology Athens, Greece, 5-7 September 2013

96-13   Shokry Abdelaziz, Minh Duc Bui, Namihira Atsushi, and Peter Rutschmann, Numerical Simulation of Flow and Upstream Fish Movement inside a Pool-and-Weir Fishway, Proceedings of 2013 IAHR World Congress, Chengdu, China

95-13  Guodong Li, Lan Lang, and Jian Ning, 3D Numerical Simulation of Flow and Local Scour around a Spur Dike, Proceedings of 2013 IAHR World Congress, Chengdu, China

93-13   Matthew C. Kondratieff and Eric E. Richer, Stream Habitat Investigations and Assistance, Federal Aid Project F-161-R19, Federal Aid in Fish and Wildlife Restoration, Job Progress Report, Colorado Parks & Wildlife, Aquatic Wildlife Research Section, Fort Collins, Colorado, August 2013. Available upon request

92-13   Matteo Tirindelli, Scott Fenical and Vladimir Shepsis, State-of-the-Art Methods for Extreme Wave Loading on Bridges and Coastal Highways, Seventh National Seismic Conference on Bridges and Highways (7NSC), May 20-22, 2013, Oakland, CA

91-13   Cecia Millán Barrera, Víctor Manuel Arroyo Correa, Jorge Armando Laurel Castillo, Modeling contaminant transport with aerobic biodegradation in a shallow water body, Proceedings of 2013 IAHR Congress © 2013 Tsinghua University Press, Beijing

80-13  Brian Fox, Matthew Kondratieff, Brian Bledsoe, Christopher Myrick, Eco-Hydraulic Evaluation of Whitewater Parks as Fish Passage Barriers, International Conference on Engineering and Ecohydrology for Fish Passage, June 25-27, 2013, Oregon State University. Presentation available for download on the Scholarworks site.

79-13  Changsung Kim, Jongtae Kim, Joongu Kang, Analysis of the Cause for the Collapse of a Temporary Bridge Using Numerical Simulation, Engineering, 2013, 5, 997-1005, (http://www.scirp.org/journal/eng), Copyright © 2013 Changsung Kim et al. Published Online December 2013

76-13   Riley J. Olsen, Michael C. Johnson, and Steven L. Barfuss, Low-Head Dam Reverse Roller Remediation Options, Journal of Hydraulic Engineering, November 2013; doi:10.1061/(ASCE)HY.1943-7900.0000848.

72-13  M. Pfister, E. Battisacco, G. De Cesare, and A.J. Schleiss, Scale effects related to the rating curve of cylindrically crested Piano Key weirs, Labyrinth and Piano Key Weirs II – PKW 2013 – Erpicum et al. (eds), © 2014 Taylor & Francis Group, London, ISBN 978-1-138-00085-8.

71-13  F. Laugier, J. Vermeulen, and V. Lefebvre, Overview of Piano KeyWeirs experience developed at EDF during the past few years, Labyrinth and Piano Key Weirs II – PKW 2013 – Erpicum et al. (eds), © 2014 Taylor & Francis Group, London, ISBN 978-1-138-00085-8.

70-13   G.M. Cicero, J.R. Delisle, V. Lefebvre, and J. Vermeulen, Experimental and numerical study of the hydraulic performance of a trapezoidal Piano Key weir, Labyrinth and Piano Key Weirs II – PKW 2013 – Erpicum et al. (eds, © 2014 Taylor & Francis Group, London, ISBN 978-1-138-00085-8.

69-13   V. Lefebvre, J. Vermeulen, and B. Blancher, Influence of geometrical parameters on PK-Weirs discharge with 3D numerical analysis, Labyrinth and Piano Key Weirs II – PKW 2013 – Erpicum et al. (eds), © 2014 Taylor & Francis Group, London, ISBN 978-1-138-00085-8.

65-13 Alkistis Stergiopoulou and Efrossini Kalkani, Towards a First CFD Study of Innovative Archimedean Inclined Axis Hydropower Turbines, International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, Vol. 2 Issue 9, September 2013.

58-13  Timothy Sassaman, Andrew Johansson, Ryan Jones, and Marianne Walter, Hydraulic Analysis of a Pumped Storage Pond Using Complementary Methods, Hydrovision 2013 Conference Proceedings, Denver, CO, July 2013.

57-13  Jose Vasquez, Kara Hurtig, and Brian Hughes, Computational Fluid Dynamics (CFD) Modeling of Run-of-River Intakes, Hydrovision 2013 Conference Proceedings, Denver, CO July 2013.

56-13  David Souders, Jayesh Kariya, and Jeff Burnham, Validation of a Hybrid 3-Dimensional and 2-Dimensional Flow Modeling Technique for an Instanenous Dam-Break, Hydrovision 2013 Conference Proceedings, Denver, CO July 2013.

55-13  Keith Moen, Dan Kirschbaum, Joe Groeneveld, Steve Smith and Kimberly Pate, Sluiceway Deflector Design as part of the Boundary TDG Abatement Program, Hydrovision 2013 Conference Proceedings, Denver, CO, July 2013.

54-13  S. Temeepattanapongsa, G. P. Merkley, S. L. Barfuss and B. Smith, Generic unified rating for Cutthroat flumes, Irrig Sci, DOI 10.1007/s00271-013-0411-3, Springer-Verlag Berlin Heidelberg 2013, August 2013.

53-13 Hossein Afshar and Seyed Hooman Hoseini, Experimental and 3-D Numerical Simulation of Flow over a Rectangular Broad-Crested Weir, International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249-8958, Volume 2, Issue 6, August 2013

52-13  Abdulmajid Matinfard (Kabi), Mohammad Heidarnejad, Javad Ahadian, Effect of Changes in the Hydraulic Conditions on the Velocity Distribution around a L-Shaped Spur Dike at the River Bend, Technical Journal of Engineering and Applied Sciences Available online at www.tjeas.com ©2013 TJEAS Journal-2013-3-16/1862-1868 ISSN 2051-0853 ©2013 TJEAS

51-13  Elham Radaei, Sahar Nikbin, and Mahdi Shahrokhi, Numerical Investigation of Angled Baffle on the Flow Pattern in a Rectangular Primary Sedimentation Tank, RCEE, Research in Civil and Environmental Engineering 1 (2013) 79-91.

48-13   Mohammad Kayser, Mohammed A. Gabr, Assessment of Scour on Bridge Foundations by Means of In Situ Erosion Evaluation Probe, Transportation Research Record: Journal of the Transportation Research Board, 0361-1981 (Print), Volume 2335 / 2013, pp 72-78. 10.3141/2335-08, August 2013.

47-13  Wei Ping Yin et al., 2013, Three-Dimensional Water Temperature and Hydrodynamic Simulation of Xiangxi River Estuary, Advanced Materials Research, 726-731, 3212, August, 2013.

41-13   N. Nekoue, R. Mahajan, J. Hamrick, and H. Rodriguez, Selective Withdrawal Hydraulic Study Using Computational Fluid Dynamics Modeling, World Environmental and Water Resources Congress 2013: pp. 1808-1813. doi: 10.1061/9780784412947.177.

40-13  Eleanor Kolden, Modeling in a three-dimensional world: whitewater park hydraulics and their impact on aquatic habitat in Colorado, Thesis: Master of Science, Civil and Environmental Engineering, Colorado State University. Full thesis available online at Colorado State University.

38-13  Prashant Huddar P.E. and Yashodhan Dhopavkar, CFD Use in Water – Insight, Foresight, and Efficiency, CFD Application in Water Engineering, Bangalore, India, June 2013.

37-13 B. Gems, M. Wörndl, R. Gabl, C. Weber, and M. Aufleger, Experimental and numerical study on the design of a deposition basin outlet structure at a mountain debris cone, Nat. Hazards Earth Syst. Sci. Discuss., 1, 3169–3200, 2013, www.nat-hazards-earth-syst-sci-discuss.net/1/3169/2013/, doi:10.5194/nhessd-1-3169-2013, © Author(s) 2013. Full paper online at: Natural Hazards and Earth System Sciences.

33-13   Tian Zhou and Theodore A. Endreny, Reshaping of the hyporheic zone beneath river restoration structures: Flume and hydrodynamic experiments, Water Resources Research, DOI: 10.1002/wrcr.20384, ©2013. American Geophysical Union. All Rights Reserved.

31-13  Francesco Calomino and Agostino Lauria, MOTO ALL’IMBOCCO DI UN CANALE RETTANGOLARE CONTROLLATO DA PARATOIA PIANA. Analisi sperimentale e modellazione numerica 3D; FLOW AT THE INTAKE OF THE RECTANGULAR CHANNEL ;CONTROLLED BY A FLAT SLUICE GATE. Experimental and Numerical 3D Model, L’acqua, pp. 29-36, © Idrotecnica Italiana, 2013. In Italian and English.

30-13  Vinod V. Nair and S.K. Bhattacharyya, Numerical Study of Water Impact of Rigid Sphere under the Action of Gravity CFD Application in Water Engineering, Bangalore, India, June 2013. Abstract only.

29-13   Amar Pal Singh, Faisal Bhat, Ekta Gupta, 3-D Spillway Simulations of Ratle HEP (J&K) for the Assessment of Design Alternatives to be Tested in Model Studies, CFD Application in Water Engineering, Bangalore, India, June 2013.

28-13  Shun-Chung Tsung, Jihn-Sung Lai, and Der-Liang Young, Velocity distribution and discharge calculation at a sharp-crested weir, Paddy Water Environ, DOI 10.1007/s10333-013-0378-y, © Springer Japan 2013, May 2013.

27-13  Karen Riddette and David Ho, Assessment of Spillway Modeling Using Computational Fluid Dynamics, ANCOLD Proceedings of Technical Groups, 2013.

21-13  Tsung-Hsien Huang and Chyan-Deng Jan, Simulation of Velocity Distribution for Water Flow in a Vortex-Chamber-Type Sediment Extractor, EGU General Assembly 2013, held 7-12 April, 2013 in Vienna, Austria, id. EGU2013-7061. Online at: http://adsabs.harvard.edu/abs/2013EGUGA..15.7061H

19-13  Riley J. Olsen, Hazard Classification and Hydraulic Remediation Options for Flat-Topped and Ogee-Crested Low- Head Dams, Thesis: Master of Science in Civil and Environmental Engineering, Utah State University, All Graduate Theses and Dissertations. Paper 1538. http://digitalcommons.usu.edu/etd/1538, 2013.

17-13  Mohammad-Hossein Erfanain-Azmoudeh and Amir Abbas Kamanbedast, Determine the Appropriate Location of Aerator System on Gotvandolia Dam’s Spillway Using FLOW-3D, American-Eurasian J. Agric. & Environ. Sci., 13 (3): 378-383, 2013, ISSN 1818-6769, © IDOSI Publications, 2013.

13-13   Chia-Cheng Tsai, Yueh-Ting Lin, and Tai-Wen Hsu, On the weak viscous effect of the reflection and transmission over an arbitrary topography, Phys. Fluids 25, 043103 (2013); http://dx.doi.org/10.1063/1.4799099 (21 pages).

07-13  M. Kayser and M. A. Gabr, Scour Assessment of Bridge Foundations Using an In Situ Erosion Evaluation Probe (ISEEP), 92nd Transportation Research Board Annual Meeting, January 13-17, 2013, Washington, D.C.

06-13   Yovanni A. Cataño-Lopera, Blake J. Landry, Jorge D. Abad, and Marcelo H. García, Experimental and Numerical Study of the Flow Structure around Two Partially Buried Objects on a Deformed Bed, Journal of Hydraulic Engineering © ASCE /March 2013, 269-283.

04-13  Safinaz El-Solh, SPH Modeling of Solitary Waves and Resulting Hydrodynamic Forces on Vertical and Sloping Walls, Thesis: Master of Applied Science in Civil Engineering, Department of Civil Engineering, University of Ottawa, October 2012, © Safinaz El-Solh, Ottawa, Canada, 2013. Full paper available online at uOttawa.

108-12  Hatice Ozmen-Cagatay and Selahattin Kocaman, Investigation of Dam-Break Flow Over Abruptly Contracting Channel With Trapezoidal-Shaped Lateral Obstacles, Journal of Fluids Engineering © 2012 by ASME August 2012, Vol. 134 / 081204-1

102-12 B.M. Crookston, G.S. Paxson, and B.M. Savage, Hydraulic Performance of Labryinth Weirs for High Headwater Ratios, 4th IAHR International Symposium on Hydraulic Structures, 9-11 February 2012, Porto, Portugal, ISBN: 978-989-8509-01-7.

101-12 Jungseok Ho and Wonil Kim, Discrete Phase Modeling Study for Particle Motion in Storm Water Retention, KSCE Journal of Civil Engineering (2012) 16(6):1071-1078, DOI 10.1007/s12205-012-1304-3.

99-12  Charles R. Ortloff and Michael E. Mosely, Environmental change at a Late Archaic period site in north central coast Perú, Ñawpa Pacha, Journal of Andean Archaeology, Volume 32, Number 2 / December 2012, ISSN: 0077-6297 (Print); 2051-6207 (Online), Left Coast Press, Inc.

98-12  Tao Wang and Vincent H. Chu, Manning Friction in Steep Open-channel Flow, Seventh International Conference on Computational Fluid Dynamics (ICCFD7), Big Island, Hawaii, July 9-13, 2012.

96-12  Zhi Yong Dong, Qi Qi Chen, Yong Gang, and Bin Shi, Experimental and Numerical Study of Hydrodynamic Cavitation of Orifice Plates with Multiple Triangular Holes, Applied Mechanics and Materials, Volumes 256-259, Advances in Civil Engineering, December 2012.

95-12  Arjmandi H., Ghomeshi M.,  Ahadiayn J., and Goleij G., Prediction of Plunge Point in the Density Current using RNG Turbulence Modeling, Water and Soil Science (Agricultural Science) Spring 2012; 22(1):171-185. Abstract available online at the Scientific Online Database.

84-12  Li Ping Zhao, Jian Qiu Zhang, Lei Chen, Xuan Xie, Jun Qiang Cheng, Study of Hydrodynamic Characteristics of the Sloping Breakwater of Circular Protective Facing, Advanced Materials Research (Volumes 588 – 589), Advances in Mechanics Engineering, 1781-1785, 10.4028/www.scientific.net/AMR.588-589.1781.

83-12 Parviz Ghadimi, Abbas Dashtimanesh, and Seyed Reza Djeddi, Study of water entry of circular cylinder by using analytical and numerical solutions, J. Braz. Soc. Mech. Sci. & Eng. 2012, vol.34, n.3, pp. 225-232 . ISSN 1678-5878. http://dx.doi.org/10.1590/S1678-58782012000300001.

81-12  R. Gabl, S. Achleitner, A. Sendlhofer, T. Höckner, M. Schmitter and M. Aufleger, Side-channel spillway – Hybrid modeling, Hydraulic Measurements and Experimental Methods 2012, EWRI/ASCE, August 12-15, 2012, Snowbird, Utah.

80-12  Akin Aybar, Computational Modelling of Free Surface Flow in Intake Structures using FLOW-3D Software, Thesis: MS in Civil Engineering, The Graduate School of Natural and Applied Sciences of Middle East Technical University, June 2012.

74-12  Mahdi Shahrokhi, Fatemeh Rostami, Md Azlin Md Said, Saeed Reza Sabbagh Yazdi, and Syafalni Syafalni, Computational investigations of baffle configuration effects on the performance of primary sedimentation tanks, Water and Environment Journal, 22 October 2012, © 2012 CIWEM.

68-12  Jalal Attari and Mohammad Sarfaraz, Transitional Steps Zone in Steeply Stepped Spillways, 9th International Congress on Civil Engineering, May 8-10, 2012, Isfahan University of Technology (IUT), Isfahan, Iran

67-12  Mohammad Sarfaraz, Jalal Attari and Michael Pfister, Numerical Computation of Inception Point Location for Steeply Sloping Stepped Spillways, 9th International Congress on Civil Engineering, May 8-10, 2012, Isfahan University of Technology (IUT), Isfahan, Iran

64-12  Anders Wedel Nielsen, Xiaofeng Liu, B. Mutlu Sumer, Jørgen Fredsøe, Flow and bed shear stresses in scour protections around a pile in a current, Coastal Engineering, Volume 72, February 2013, Pages 20–38.

62-12  Ehab A. Meselhe, Ioannis Georgiou, Mead A. Allison, John A McCorquodale, Numerical Modeling of Hydrodynamics and Sediment Transport in Lower Mississippi at a Proposed Delta Building Diversion, Journal of Hydrology, October 2012.

60-12  Markus Grünzner and Gerhard Haimerl, Numerical Simulation Downstream Attraction Flow at Danube Weir Donauwörth, 9th ISE 2012, Vienna, Austria.

59-12 M. Grünzner, A 3 Dimensional Numerical (LES) and Physical ‘Golf Ball’ Model in Comparison to 1 Dimensional Approach, Hydraulic Measurements and Experimental Methods 2012, EWRI/ASCE, August 12-15, 2012, Snowbird, Utah

58-12  Shawn P. Clark, Jonathan S. Toews, Martin Hunt and Rob Tkach, Physical and Numerical Modeling in Support of Fish Passage Regulations, 9th ISE 2012, Vienna, Austria.

57-12  Mahdi Shahrokhi, Fatemeh Rostami, Md Azlin Md Said, Syafalni, Numerical Modeling of Baffle Location Effects on the Flow Pattern of Primary Sedimentation Tanks, Applied Mathematical Modelling, Available online October 2012, http://dx.doi.org/10.1016/j.apm.2012.09.060.

50-12  Gricelda Ramirez, A Virtual Flow Meter to Develop Velocity-Index Ratings and Evaluate the Effect of Flow Disturbances on these Ratings, Master’s Thesis: Department of Civil Engineering in the Graduate College of the University of Illinois at Urbana-Champaign, 2012.

43-12  A. A. Girgidov, A. D. Girgidov and M. P. Fedorov, Use of dispersing springboards to reduce near-bottom velocity in a toe basin, Power Technology and Engineering (formerly Hydrotechnical Construction), Volume 46, Number 2 (2012), 113-115, DOI: 10.1007/s10749-012-0316-y.

40-12  Jong Pil Park, Kyung Sik Choi, Ji Hwan Jeong, Gyung Min Choi, Ju Yeop Park, and Man Woong Kim, Experimental and numerical evaluation of debris transport augmentation by turbulence during the recirculation-cooling phase, Nuclear Engineering and Design 250 (2012) 520-537

39-12  Hossein Basser, Abdollah Ardeshir, Hojat Karami, Numerical simulation of flow pattern around spur dikes series in rigid bed, 9th International Congress on Civil Engineering, May 8-10, 2012 Isfahan University of Technology (IUT), Isfahan, Iran

38-12  Sathaporn Temeepattanapongsa, Unified Equations for Cutthroat Flumes Derived from a Three-Dimensional Hydraulic Model, (2012). Thesis: Utah State University, All Graduate Theses and Dissertations. Paper 1308. Available online at: http://digitalcommons.usu.edu/etd/1308

36-12 Robert Feurich, Jacques Boubée, Nils Reidar B. Olsen, Improvement of fish passage in culverts using CFD, Ecological Engineering, Volume 47, October 2012, Pages 1–8.

35-12 Yovanni A. Cataño-Lopera and Jorge D. Abad, Flow Structure around a Partially Buried Object in a Simulated River Bed, World Environmental And Water Resources Congress 2012, Albuquerque, New Mexico, United States, May 20-24, 2012.

33-12  Fatemeh Rostami, Saeed Reza Sabbagh Yazdi, Md Azlin Md Said and Mahdi Shahrokhi, Numerical simulation of undular jumps on graveled bed using volume of fluid method, Water Science & Technology Vol 66 No 5 pp 909–917 © IWA Publishing 2012 doi:10.2166/wst.2012.213.

30-12  Saman Abbasi and Amir Abbas Kamanbedast, Investigation of Effect of Changes in Dimension and Hydraulic of Stepped Spillways for Maximization Energy Dissipation, World Applied Sciences Journal 18 (2): 261-267, 2012, ISSN 1818-4952, © IDOSI Publications, 2012, DOI: 10.5829/idosi.wasj.2012.18.02.492

24-12  Mario Oertel, Jan Mönkemöller and Andreas Schlenkhoff, Artificial stationary breaking surf waves in a physical and numerical model, Journal of Hydraulic Research, 50:3, 338-343, 2012.

23-12  Mario Oertel, Cross-bar block ramps:Flow regimes – flow resistance – energy dissipation – stability, thesis, Bericht Nr. 20, 2012, © 2011/12 Dr. Mario Oertel, Hydraulic Engineering Section, Bergische University of Wuppertal. Duplication only with author’s permission.

20-12  M. Oertel and A. Schlenkhoff, Crossbar Block Ramps: Flow Regimes, Energy Dissipation, Friction Factors, and Drag Forces, Journal of Hydraulic Engineering © ASCE, May 2012, pp. 440-448.

19-12  Mohsen Maghrebi, Saeed Alizadeh, and Rahim Lotfi, Numerical Simulation of Flow Over Rectangular Broad Crested Weir, 1st International and 3rd National Conference on Dams and Hydropower in Iran, Tehran, Iran, February 8 – February 9, 2012

18-12  Alireza Daneshkhah and Hamidreza Vosoughifar, Solution of Flow Field Equations to Investigate the Best Turbulent Model of Flow over a Standard Ogee Spillway, 1st International and 3rd National Conference on Dams and Hydropower in Iran, Tehran, Iran, February 8 – February 9, 2012

03-12  Hamed Taghizadeh, Seyed Ali Akbar Salehi Neyshabour and Firouz Ghasemzadeh, Dynamic Pressure Fluctuations in Stepped Three-Side Spillway, Iranica Journal of Energy & Environment 3 (1): 95-104, 2012, ISSN 2079-2115

02-12   Kim, Seojun, Yu, Kwonkyu, Yoon, Byungman, and Lim, Yoonsung, A numerical study on hydraulic characteristics in the ice Harbor-type fishway, KSCE Journal of Civil Engineering, 2012-02-01, Issn: 1226-7988, pp 265- 272, Volume: 16, Issue: 2, Doi: 10.1007/s12205-012-0010-5.

105-11 Hatice Ozmen Cagatay and Selahattin Kocaman, Dam-break Flow in the Presence of Obstacle: Experiment and CFD Simulation, Engineering Applications of Computational Fluid Mechancis, Vol. 5, No. 4, pp. 541-552, 2011

102-11 Sang Do An, Interflow Dynamics and Three-Dimensional Modeling of Turbid Density Currents in IMHA Reservoir, South Korea, thesis: Doctor of Philosophy, Department of Civil and Environmental Engineering at Colorado State University, 2011.

101-11 Tsunami – A Growing Disaster, edited by Mohammad Mokhtari, ISBN 978-953-307-431-3, 232 pages, Publisher: InTech, Chapters published December 16, 2011 under CC BY 3.0 license, DOI: 10.5772/922. Available for download at Intech.

98-11  Selahattin Kocaman and Hasan Guzel, Numerical and Experimental Investigation of Dam-Break Wave on a Single Building Situated Downstream, Epoka Conference Systems, 1st International Balkans Conference on Challenges of Civil Engineering, 19-21 May 2011, EPOKA University, Tirana, Albania.

97-11   T. Endreny, L. Lautz, and D. I. Siegel, Hyporheic flow path response to hydraulic jumps at river steps: Flume and hydrodynamic models, WATER RESOURCES RESEARCH, VOL. 47, W02517, doi:10.1029/2009WR008631, 2011.

96-11   Mahdi Shahrokhi, Fatemeh Rostami, Md Azlin Md Said and Syafalni, Numerical Simulation of Influence of Inlet Configuration on Flow Pattern in Primary Rectangular Sedimentation Tanks, World Applied Sciences Journal 15 (7): 1024-1031, 2011, ISSN 1818-4952, © IDOSI Publications, 2011. Full article available online at IODSI.

94-11  Kathleen H. Frizell, Summary of Hydraulic Studies for Ladder and Flume Fishway Design- Nimbus Hatchery Fish Passage Project, Hydraulic Laboratory Report HL-2010-04, U.S. Department of the Interior Bureau of Reclamation Technical Service Center Hydraulic Investigations and Laboratory Services Group, December 2011

88-11   Abdelaziz, S, Bui, MD, Rutschmann, P, Numerical Investigation of Flow and Sediment Transport around a Circular Bridge Pier, Proceedings of the 34th World Congress of the International Association for Hydro- Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics in Water Engineering, ACT: Engineers Australia, 2011: 2624-2630.

86-11  M. Heidarnejad, D. Halvai and M. Bina, The Proper Option for Discharge the Turbidity Current and Hydraulic Analysis of Dez Dam Reservoir, World Applied Sciences Journal 13 (9): 2052-2056, 2011, ISSN 1818-4952 © IDOSI Publications, 2011

84-11  Martina Reichstetter and Hubert Chanson, Physical and Numerical Modelling of Negative Surges in Open Channels, School of Civil Engineering at the University of Queensland, Report CH84/11, ISBN No. 9781742720388, © Reichstetter and Chanson, 2011.

83-11  Reda M. Abd El-Hady Rady, 2D-3D Modeling of Flow Over Sharp-Crested Weirs, Journal of Applied Sciences Research, 7(12): 2495-2505, ISSN 1819-544X, 2011.

78-11  S. Abbasi, A. Kamanbedast and J. Ahadian, Numerical Investigation of Angle and Geometric of L-Shape Groin on the Flow and Erosion Regime at River Bends, World Applied Sciences Journal 15 (2): 279-284, 2011, ISSN 1818-4952 © IDOSI Publications, 2011.

75-11  Mario Oertel and Daniel B. Bung, Initial stage of two-dimensional dam-break waves: laboratory versus VOF, Journal of Hydraulic Research, DOI: 10.1080/00221686.2011.639981, Available online: 08 Dec 2011.

73-11  T.N. Aziz and A.A. Khan, Simulation of Vertical Plane Turbulent Jet in Shallow Water, Advances in Civil Engineering, vol. 2011, Article ID 292904, 10 pages, 2011. doi:10.1155/2011/292904.

67-11   Chung R. Song, ASCE, Jinwon Kim, Ge Wang, and Alexander H.-D. Cheng, Reducing Erosion of Earthen Levees Using Engineered Flood Wall Surface, Journal of Geotechnical and Geoenvironmental Engineering, Vol. 137, No. 10, October 2011, pp. 874-881, http://dx.doi.org/10.1061/(ASCE)GT.1943-5606.0000500.

64-11  Mahdi Shahrokhi, Fatemeh Rostami, Md Azlin Md Said, Syafalni, The Effect of Number of Baffles on the Improvement Efficiency of Primary Sedimentation Tanks, Available online 11 November 2011, ISSN 0307-904X, 10.1016/j.apm.2011.11.001.

62-11  Jana Hadler, Klaus Broekel, Low head hydropower – its design and economic potential, World Renewable Energy Congress 2011, Sweden, May 8-13, 2011.

60-11 Md. Imtiaj Hassan and Nahidul Khan, Performance of a Quarter-Pitch Twisted Savonius Turbine, The International Conference and Utility Exhibition 2011, Pattaya City, Thailand, 28-30 September 2011.

59-11   Erin K. Gleason, Ashraful Islam, Liaqat Khan, Darrne Brinker and Mike Miller, Spillway Analysis Techniques Using Traditional and 3-D Computational Fluid Dynamics Modeling, Dam Safety 2011, National Harbor, MD, September 25-29, 2011.

58-11  William Rahmeyer, Steve Barfuss, and Bruce Savage, Composite Modeling of Hydraulic Structures, Dam Safety 2011, National Harbor, MD, September 25-29, 2011.

57-11  B. Dasgupta, K. Das, D. Basu, and R. Green, Computational Methodology to Predict Rock Block Erosion in Plunge Pools, Dam Safety 2011, National Harbor, MD, September 25-29, 2011.

56-11  Jeff Burnham, Modeling Dams with Computational Fluid Dynamics- Past Success and New Directions, Dam Safety 2011, National Harbor, MD, September 25-29, 2011.

52-11  Madhi Shahrokhi, Fatemeh Rostami, Md Azlin Md Said, and Syafalni, The Computational Modeling of Baffle Configuration in the Primary Sedimentation Tanks, 2011 2nd International Conference on Environmental Science and Technology IPCBEE vol 6. (2011) IACSIT Press, Singapore.

47-11  Stefan Haun, Nils Reidar B. Olsen and Robert Feurich, Numerical Modeling of Flow over Trapezoidal Broad-Crested Weir, Engineering Applications of Computational Fluid Mechanics Vol 5., No. 3, pp. 397-405, 2011.

42-11  Anu Acharya, Experimental Study and Numerical Simulation of Flow and Sediment Transport around a Series of Spur Dikes, thesis: The University of Arizona Graduate College, Copyright © Anu Acharya 2011, July 2011.

38-11  Mehdi Shahosseini, Amirabbas Kamanbedast and Roozbeh Aghamajidi, Investigation of Hydraulic Conditions around Bridge Piers and Determination of Shear Stress using Numerical Methods, World Environmental and Water Resources Congress 2011, © ASCE 2011.

35-11  L. Toombes and H. Chanson, Numerical Limitations of Hydraulic Models, 34th IAHR World Congress, 33rd Hydrology & Water Resources Symposium, 10th Hydraulics Conference, Brisbane, Australia, 26 June – 1 July 2011.

34-11  Mohammad Sarfaraz, and Jalal Attari, Numerical Simulation of Uniform Flow Region over a Steeply Sloping Stepped Spillway, 6th National Congress on Civil Engineering, Semnan University, Semnan, Iran, April 26-27, 2011.

30-11  John Richardson and Pamela Waterman, Stemming the Flood, Mechanical Engineering, Vol. 133/No.7 July 2011

29-11  G. Möller & R. Boes, D. Theiner & A. Fankhauser, G. De Cesare & A. Schleiss, Hybrid modeling of sediment management during drawdown of Räterichsboden reservoir, Dams and Reservoirs under Changing Challenges – Schleiss & Boes (Eds), © 2011 Taylor & Francis Group, London, ISBN 978-0-415-68267-1.

24-11  Liaqat A. Khan, Computational Fluid Dynamics Modeling of Emergency Overflows through an Energy Dissipation Structure of a Water Treatment Plant, ASCE Conf. Proc. doi:10.1061/41173(414)155, World Environmental and Water Resources Congress 2011.

23-11  Anu Acharya and Jennifer G. Duan, Three Dimensional Simulation of Flow Field around Series of Spur Dikes, ASCE Conf. Proc. doi:10.1061/41173(414)218, World Environmental and Water Resources Congress 2011.

22-11  Mehdi Shahosseini, Amirabbas Kamanbedast, and Roozbeh Aghamajidi, Investigation of Hydraulic Conditions around Bridge Piers and Determination of Shear Stress Using Numerical Method, ASCE Conf. Proc. doi:10.1061/41173(414)435, World Environmental and Water Resources Congress 2011.

20-11  Jong Pil Park, Ji Hwan Jeong, Won Tae Kim, Man Woong Kim and Ju Yeop Park, Debris transport evaluation during the blow-down phase of a LOCA using computational fluid dynamics, Nuclear Engineering and Design, June 2011, ISSN 0029-5493, DOI: 10.1016/j.nucengdes.2011.05.017.

13-11 Ehab A. Meselhe, Myrtle Grove Delta Building Diversion Project, The Geological Society of America, South-Central Section – 45th Annual Meeting, New Orleans, Louisiana, March 2011.

12-11  Bryan Heiner and Steven L. Barfuss, Parshall Flume and Discharge Corrections Wall Staff Gauge and Centerline Measurements, Journal of Irrigation and Drainage Engineering, posted ahead of print February 1, 2011, DOI:10.1061/(ASCE)IR.1943-4774.0000355, © 2011 by the American Society of Civil Engineers.

06-11  T. Endreny, L. Lautz, and D. Siegel, Hyporheic flow path response to hydraulic jumps at river steps- Hydrostatic model simulations, Water Resources Research, Vol. 47, W02518, doi: 10.1029/2010WR010014, 2011, © 2011 by the American Geophysical Union, 0043-1397/11/2010WR010014

03-11  Jinwon Kim, Chung R. Song, Ge Wang and Alexander H.-D. Cheng Reducing Erosion of Earthen Levees Using Engineered Flood Wall Surface, Journal of Geotechnical and Geoenvironmental Engineering, © ASCE, January 2011.

02-11  F. Montagna, G. Bellotti and M. Di Risio, 3D numerical modeling of landslide-generated tsunamis around a conical island, Springer Link, Earth and Environmental Science, Natural Hazards, DOI: 10.1007/s11069-010-9689-0, Online First™, 7 January 2011.

83-10   S. Abdelaziz, M.D. Bui and P. Rutschmann, Numerical simulation of scour development due to submerged horizontal jet, River Flow 2010, eds. Dittrich, Koll, Aberle & Geisenhainer, © 2010 Bundesanstalt für Wasserbau, ISBN 978-3-939230-00-7.

79-10  Daniel J. Howes, Charles M. Burt, and Brett F. Sanders, Subcritical Contraction for Improved Open-Channel Flow Measurement Accuracy with an Upward-Looking ADVM, J. Irrig. Drain Eng. 2010.136:617-626.

78-10  M. Kaheh, S. M. Kashefipour, and A. Dehghani, Comparison of k-ε and RNG k-ε Turbulent Models for Estimation of Velocity Profiles along the Hydraulic Jump, presented at the 6th International Symposium on Environmental Hydraulics, Athens, Greece, June 2010.

75-10  Shahrokh Amiraslani, Jafar Fahimi, Hossein Mehdinezhad, The Numerical Investigation of Free Falling Jet’s Effect on the Scour of Plunge Pool, XVIII International Conference on Water Resources CMWR 2010 J. Carrera (Ed) CIMNE, Barcelona 2010

74-10  M. Ho Ta Khanh, Truong Chi Hien, and Dinh Sy Quat, Study and construction of PK Weirs in Vietnam (2004 to 2011), 78th Annual Meeting of the International Commission on Large Dams,  VNCOLD, Hanoi, Vietnam, May 23-26, 2010.

72-10  DKH Ho and KM Riddette, Application of computational fluid dynamics to evaluate hydraulic performance of spillways in Australia, © Institution of Engineers Australia, 2010, Australian Journal of Civil Engineering, Vol 6 No 1, 2010.

71-10  Cecilia Lucino, Sergio Liscia y Gonzalo Duro, Vortex Detection in Pump Sumps by Means of CFD, XXIV Latin American Congress on Hydraulics, Punta Del Este, Uruguay, November 2010; Deteccion de Vortices en Darsenas de Bombeo Mediante Modelacion Matematica. Available in English and Spanish.

64-10 Jose (Pepe) Vasquez, Assessing Sediment Movement by CFD Particle Tracking, 2nd Joint Federal Interagency Conference, Las Vegas, Nevada, June 27-July 1, 2010.

63-10 Sung-Min Cho, Foundation Design of the Incheon Bridge, Geotechnical Engineering Journal of the SEAGS & AGSSEA Vol 41 No.4, ISSN0046-5828, December 2010.

61-10  I. Meireles, F.A. Bombardelli and J. Matos, Experimental and Numerical Investigation of the Non-Aerated Skimming Flow on Stepped Spillways Over Embankment Dams, Presented at the 2010 IAHR European Congress, Edinburgh, UK, May 4-6, 2010.

60-10  Mario Oertel, G. Heinz and A. Schlenkhoff, Physical and Numerical Modelling of Rough Ramps and Slides, Presented at the 2010 IAHR European Congress, Edinburgh, UK, May 4-6, 2010.

59-10  Fatemeh Rostami, Mahdi Shahrokhi, Md Azlin Md Said, Rozi Abdullah and Syafalni, Numerical modeling on inlet aperture effects on flow pattern in primary settling tanks, Applied Mathematical Modelling, Copyright © 2010 Elsevier Inc., DOI: 10.1016/j.apm.2010.12.007, December 2010.

56-10  G. B. Sahoo, F Bombardelli, D. Behrens and J.L. Largier, Estimation of Stratification and Mixing of a Closed River System Using FLOW-3D, American Geophysical Union, Fall Meeting 2010, abstract #H31G-1091

50-10  Sung-Duk Kim, Ho-Jin Lee and Sang-Do An, Improvement of hydraulic stability for spillway using CFD model, International Journal of the Physical Sciences Vol. 5(6), pp. 774-780, June 2010. Available online at http://www.academicjournals.org/IJPS, ISSN 1992

49-10  Md. Imtiaj Hassan, Tariq Iqbal, Nahidul Khan, Michael Hinchey, Vlastimil Masek, CFD Analysis of a Twisted Savonius Turbine, PKP Open Conference Systems, IEEE Newfoundland and Labrador Section, October 2010

46-10  Hatice Ozmen-Cagatay and Selahattin Kocaman, Dam-break flows during initial stage using SWE and RANS approaches, Journal of Hydraulic Research, Vol 48, No. 5 (2010), pp. 603-611, doi: 10.108/00221686.2010.507342, © 2010 International Association for Hydro-Environment Engineering and Research.

44-10  Marie-Hélène Briand, Catherine Tremblay, Yannick Bossé, Julian Gacek, Carola Alfaro, and Richard Blanchet, Ashlu Creek hydroelectric project- Design and optimization of hydraulic structures under construction, CDA 2010 Annual Conference, Congrès annuel 2010 de l’A CB, Niagra Falls, ON, Canada, 2010 Oct 2-7.

43-10 Gordon McPhail, Justin Lacelle, Bert Smith, and Dave MacMillan, Upgrading of Boundary Dam Spillway, CDA 2010 Annual Conference, Congrès annuel 2010 de l’A CB, Niagra Falls, ON, Canada, 2010 Oct 2-7.

40-10 Selahattin Kocamana; Galip Seckinb; Kutsi S. Erduran, 3D model for prediction of flow profiles around bridges, DOI: 10.1080/00221686.2010.507340, Journal of Hydraulic Research, Volume 48, Issue 4 August 2010, pages 521 – 525. Available online at: informaworld

38-10  Kevin M. Sydor and Pamela J. Waterman, Engineering and Design: The Value of CFD Modeling in Designing a Hydro Plant, Hydro Review, Volume 29, Issue 6, September 2010 Available online at HydroWorld.com

33-10  Fabián A. Bombardelli, Inês Meireles and Jorge Matos, Laboratory measurements and multi-block numerical simulations of the mean flow and turbulence, SpringerLink, Environmental Fluid Mechanics, Online First™, 26 August 2010

30-10 Bijan Dargahi, Flow characteristics of bottom outlets with moving gates, IAHR, Journal of Hydraulic Research, Vol. 48, No. 4 (2010), pp. 476-482, doi: 10.1080/00221686.20101.507001, © 2010 International Association for Hydro-Environment Engineering and Research

24-10 Shuang Ming Wang and Kevin Sydor, Power Intake Velocity Modeling Using FLOW-3D at Kelsey Generating Station, Canadian Dam Association Bulletin, Vol. 21. No. 2, Spring 2010, pp: 16-21

20-10 Jungseok Ho, Todd Marti and Julie Coonrod, Flood debris filtering structure for urban storm water treatment, DOI: 10.1080/00221686.2010.481834, Journal of Hydraulic Research, Volume 48, Issue 3, pages 320 – 328, June 2010.

16-10 J. Jacobsen and N. R. B. Olsen, Three-dimensional numerical modeling of the capacity for a complex spillway, Proceedings of the ICE – Water Management, Volume 163, Issue 6, pages 283 –288, ISSN: 1741-7589, E-ISSN: 1751-7729.

13-10 J. Ho, J. Coonrod, L. J. Hanna, B. W. Mefford, Hydrodynamic modelling study of a fish exclusion system for a river diversion, River Research and Applications Volume 9999, mIssue 9999, Copyright © 2005 John Wiley & Sons, Ltd.

12-10 Nils Rüther, Jens Jacobsen, Nils Reidar B. Olsen and Geir Vatne, Prediction of the three-dimensional flow field and bed shear stresses in a regulated river in mid-Norway, Hydrology Research Vol 41 No 2 pp 145–152 © IWA Publishing 2010, doi:10.2166/nh.2010.064.

11-10 Xing Fang, Shoudong Jiang, and Shoeb R. Alam, Numerical Simulations of Efficiency of Curb-Opening Inlets, J. Hydr. Engrg. Volume 136, Issue 1, pp. 62-66 (January 2010).

54-09    K.W. Frizell, J.P. Kubitschek, and R.F. Einhellig, Folsom Dam Joint Federal Project Existing Spillway Modeling – Discharge Capacity Studies, American River Division Central Valley Project Mid-Pacific Region, Hydraulic Laboratory Report HL-2009-02, US Department of the Interior, Bureau of Reclamation, Denver, Colorado, September 2009

50-09  Mark Fabian, Variation in Hyporheic Exchange with Discharge and Slope in a Tropical Mountain Stream, thesis: State University of New York, College of Environmental Science & Forestry, 2009. Available online: http://gradworks.umi.com/14/82/1482174.html.

48-09 Junwoo Choi, Kwang Oh Ko, and Sung Bum Yoon, 3D Numerical Simulation for Equivalent Resistance Coefficient for Flooded Built-Up Areas, Asian and Pacific Coasts 2009 (pp 245-251), Proceedings of the 5th International Conference on APAC 2009, Singapore, 13 – 16 October 2009

47-09 Young-Il Kim, Chang-Jin Ahn, Chae-Young Lee, Byung-Uk Bae, Computational Fluid Dynamics for Optimal Design of Horizontal-Flow Baffled-Channel Powdered Activated Carbon Contactors, Mary Ann Liebert, Inc. publishers, Volume: 26 Issue 1: January 15, 2009.

43-09 Charles R. Ortloff, Water Engineering in the Ancient World: Archaeological and Climate Perspectives on Societies of Ancient South America, Meso-America, the Middle East and South East Asia, Oxford University Press, ISBN13: 978-0-19-923909-2ISBN10: 0-19-923909-6, December 2009 Available at Oxford University Press (clicking on this link will take you to OUP’s website).

40-09 Ge Wang, Chung R. Song, Jinwon Kim and Alexander, H.-D Cheng, Numerical Study of Erosion-proof of Loose Sand in an Overtopped Plunging Scour Process — FLOW-3D, The 2009 Joint ASCE-ASME-SES Conference on Mechanics and Materials, Blacksburg, Virginia, June 24-27, 2009

39-09 Charles R. Ortloff, Water Engineering in the Ancient World: Archaeological and Climate Perspectives on Societies of Ancient South America, the Middle East, and South-East Asia(Hardcover), Oxford University Press, USA (October 15, 2009), ISBN-10: 0199239096; ISBN-13: 978-0199239092 Buy Water Engineering in the Ancient World on Amazon.com.

38-09 David S. Brown, Don MacDonell, Kevin Sydor, and Nicolas Barnes, An Integrated Computational Fluid Dynamics and Fish Habitat Suitability Model for the Pointe Du Bois Generating Station, CDA 2009 Annual Conference, Congres annuel 2009 de l’A CB, Whistler, BC, Canada, 2009 Oct 3-8, pdf pages: 53-66

37-09 Warren Gendzelevich, Andrew Baryla, Joe Groenveld, and Doug McNeil, Red River Floodway Expansion Project-Design and Construction of the Outlet Structure, CDA 2009 Annual Conference, Congres annuel 2009 de l’A CB, Whistler, BC, Canada, 2009 Oct 3-8, pdf pages: 13-26

36-09 Jose A. Vasquez and Jose J. Roncal, Testing River2D and FLOW-3D for Sudden Dam-Break Flow Simulations, CDA 2009 Annual Conference, Congres annuel 2009 de l’A CB, Whistler, BC, Canada, 2009 Oct 3-8, pdf pages: 44-55

33-09 Pamela J. Waterman, Modeling Commercial Aquaculture Systems Employing FLOW-3D, (clicking on this link will take you to Desktop Engineering’s website) Desktop Engineering, November 2009

29-09 Bruce M. Savage, Michael C. Johnson, Brett Towler, Hydrodynamic Forces on a Spillway- Can we calculate them?, Dam Safety 2009, Hollywood, FL, USA, October 2009

27-09 Charles “Chick” Sweeney, Keith Moen, and Daniel Kirschbaum, Hydraulic Design of Total Dissolved Gas Mitigation Measures for Boundary Dam, Waterpower XVI, © PennWell Corporation, Spokane, WA, USA, July 2009

23-09 J.A. Vasquez and B.W. Walsh, CFD simulation of local scour in complex piers under tidal flow, 33rd IAHR Congress: Water Engineering for a Sustainable Environment, © 2009 by International Association of Hydraulic Engineering & Research (IAHR), ISBN: 978-94-90365-01-1

15-09 Kaushik Das, Steve Green, Debashis Basu, Ron Janetzke, and John Stamatakos, Effect of Slide Deformation and Geometry on Waves Generated by Submarine Landslides- A Numerical Investigation, Copyright 2009, Offshore Technology Conference, Houston, Texas, USA, May 4-7, 2009

5-09 Remi Robbe, Douglas Sparks, Calculation of the Rating Curves for the Matawin Dam’s Bottom Sluice Gates using FLOW-3D, Conference of the Société Hydrotechnique de France (SHF), 20-21 January 2009, Paris, France. (in French)

4-09 Frederic Laugier, Gregory Guyot, Eric Valette, Benoit Blancher, Arnaud Oguic, Lily Lincker, Engineering Use of Hydrodynamic 3D Simulation to Assess Spillway Discharge Capacity, Conference of the Société Hydrotechnique de France (SHF), 20-21 January 2009, Paris, France. (in French)

50-08   H. Avila and R.Pitt, The Calibration and use of CFD Models to Examine Scour from Stormwater Treatment Devices – Hydrodynamic Analysis, 11th International Conference on Urban Drainage, Edinburgh, Scotland, UK, 2008

47-08    Greg Paxson, Brian Crookston, Bruce Savage, Blake Tullis, and Frederick Lux III, The Hydraulic Design Toolbox- Theory and Modeling for the Lake Townsend Spillway Replacement Project, Assoc. of State Dam Safety Officials (ASDSO), Indian Wells, CA, September 2008.

46-08  Sh. Amirslani, M. Pirestani and A.A.S. Neyshabouri, The 3D numerical simulation of scour by free falling jet and compare geometric parameters of scour hole with DOT, River flow 2008-Altinakar, Kokipar, Gogus, Tayfur, Kumcu & Yildirim (eds) © 2008 Kubaba Congress Department and Travel Services ISBN 978-605-601360201

44-08  Paul Guy Chanel, An Evaluation of Computational Fluid Dynamics for Spillway Modeling, thesis: Department of Civil Engineering, University of Manitoba, Copyright © 2008 by Paul Guy Chanel

41-08 Jinwei Qiu, Gravel transport estimation and flow simulation over low-water stream crossings, thesis: Lamar University – Beaumont, 2008, 255 pages; AAT 3415945

37-08 Dae-Geun Kim, Numerical analysis of free flow past a sluice gate, KSCE Journal of Civil Engineering, Volume 11, Number 2 / March, 2007, 127-132.

36-08 Shuang Ming Wang and Kevin Sydor, Power Intake Velocity Modeling using FLOW-3D at Kelsey Generating Station, CDA 2008 Annual Conference, Congres annuel 2008 de l’ACB, Winnipeg, MB, Canada, September 27-October 2, 2008, du 27 septembre au 2 octobre 2008

33-08 Daniel B. Bung, Arndt Hildebrandt, Mario Oertel, Andreas Schlenkhoff and Torsten Schlurmann, Bore Propagation Over a Submerged Horizontal Plate by Physical and Numerical Simulation, ICCE 2008, Hamburg, Germany

32-08 Paul G. Chanel and John C. Doering, Assessment of Spillway Modeling Using Computational Fluid Dynamics, Canadian Journal of Civil Engineering, 35: 1481-1485 (2008), doi: 10.1139/L08-094 © NRC Canada

31-08 M. Oertel & A. Schlenkhoff, Flood wave propagation and flooding of underground facilities, River Flow 2008, © 2008, International Conference on Fluvial Hydraulics, Izmir, Turkey, September, 2008

18-08 Efrem Teklemariam, Bernie Shumilak, Don Murray, and Graham K. Holder, Combining Computational and Physical Modeling to Design the Keeyask Station, Hydro Review, © HCI Publications, July 2008

15-08 Jorge D. Abad; Bruce L. Rhoads; İnci Güneralp; and Marcelo H. García, Flow Structure at Different Stages in a Meander-Bend with Bendway Weirs, Journal of Hydraulic Engineering © ASCE, August 2008

11-08 Sreenivasa C. Chopakatla, Thomas C. Lippmann and John E. Richardson, Field Verification of a Computational Fluid Dynamics Model for Wave Transformation and Breaking in the Surf Zone, J. Wtrwy., Port, Coast., and Oc. Engrg., Volume 134, Issue 2, pp. 71-80 (March/April 2008) Abstract Only

51-07   Richmond MC, TJ Carlson, JA Serkowski, CB Cook, JP Duncan, and WA Perkins, Characterizing the Fish Passage Environment at The Dalles Dam Spillway: 2001-2004, PNNL-16521, Pacific Northwest National Laboratory, Richland, WA, 2007. Available upon request

46-07 Uplift and Crack Flow Resulting from High Velocity Discharges Over Open Offset Joints, Reclamation, Managing Water in the West, U.S. Department of the Interior, Bureau of Reclamation, Report DSO-07-07, December 2007

45-07 Selahattin Kocaman, thesis: Department of Civil Engineering, Institute of Natural and Applied Sciences, University of Çukurova, Experimental and Theoretical Investigation of Dam Break Problem, 2007. In Turkish. Available on request.

44-07   Saeed-reza Sabbagh-yazdi, Fatemeh Rostami, Habib Rezaei-manizani, and Nikos E. Mastorakis, Comparison of the Results of 2D and 3D Numerical Modeling of Flow over Spillway chutes with Vertical Curvatures, International Journal of Computers, Issue 4, Volume 1, 2007.

43-07    Staša Vošnjak and Jure Mlacnik, Verification of a FLOW-3D mathematical model by a physical hydraulic model of a turbine intake structure, International Conference and exhibition Hydro 2007, 15- 17 October 2007, Granada, Spain. New approaches for a new era: proceedings. [S.l.]: Aqua-Media International Ltd., 2007, 7 str. [COBISS.SI-ID 4991329]

42-07   Merlynn D. Bender, Joseph P. Kubitschek, Tracy B. Vermeyen, Temperature Modeling of Folsom Lake, Lake Natoma, and the Lower American River, Special Report, Sacramento County, California, April 2007

37-07 Heather D. Smith, Flow and Sediment Dynamics Around Three-Dimensional Structures in Coastal Environments, thesis: The Ohio State Unviersity, 2007 (available upon request)

34-07   P.G. Chanel and J.C. Doering, An Evaluation of Computational Fluid Dynamics for Spillway Modeling, 16th Australasian Fluid Mechanics Conference, Gold Coast, Australia, December 2007

29-07   J. Groeneveld, C. Sweeney, C. Mannheim, C. Simonsen, S. Fry, K. Moen, Comparison of Intake Pressures in Physical and Numerical Models of the Cabinet Gorge Dam Tunnel, Waterpower XV, Copyright HCI Publications, July 2007

25-07   Jungseok Ho, Hong Koo Yeo, Julie Coonrod, Won-Sik Ahn, Numerical Modeling Study for Flow Pattern Changes Induced by Single Groyne, IAHR Conference Proc., Harmonizing the Demands of Art and Nature in Hydraulics, IAHR, July 2007, Venice, Italy.

24-07   Jungseok Ho, Julie Coonrod, Todd Marti, Storm Water Best Management Practice- Development of Debris Filtering Structure for Supercritical Flow, EWRI Conference Proc. of World Water and Environmental Resources Congress, ASCE, May 2007, Tampa, Florida.

21-07 David S. Mueller, and Chad R. Wagner, Correcting Acoustic Doppler Current Profiler Discharge Measurements Biased by Sediment Transport, Journal of Hydraulic Engineering, Volume 133, Issue 12, pp. 1329-1336 (December 2007), Copyright © 2007, ASCE. All rights reserved.

19-07   A. Richard Griffith, James H. Rutherford, A. Alavi, David D. Moore, J. Groeneveld, Stability Review of the Wanapum Spillway Using CFD Analysis, Canadian Dam Association Bulletin, Fall 2007

06-07   John E. Richardson, CFD Saves the Alewife- Computer simulation helps the Alewife return to its Mt. Desert Island spawning grounds, Desktop Engineering, July 2007; Hatchery International, July/August 2007

39-06    Dae Geun Kim and Hong Yeun Cho, Modeling the buoyant flow of heated water discharged from surface and submerged side outfalls in shallow and deep water with a cross flow, Environ Fluid Mech (2006) 6: 501. https://doi.org/10.1007/s10652-006-9006-3

38-06   Cook, C., B. Dibrani, M. Richmond, M. Bleich, P. Titzler, T. Fu, Hydraulic Characteristics of the Lower Snake River during Periods of Juvenile Fall Chinook Salmon Migration, 2002-2006 Final Report, Project No. 200202700, 176 electronic pages, (BPA Report DOE/BP-00000652-29)

37-06  Cook CB, MC Richmond, and JA Serkowski, The Dalles Dam, Columbia River: Spillway Improvement CFD Study, PNNL-14768, Pacific Northwest National Laboratory, Richland, WA, 2006. Available upon request

31-06 John P. Raiford and Abdul A. Khan, Numerical Modeling of Internal Flow Structure in Submerged Hydraulic Jumps, ASCE Conf. Proc. 200, 49 (2006), DOI:10.1061/40856(200)49

29-06    Michael C. Johnson and Bruce Savage, Physical and Numerical Comparison of Flow over Ogee Spillway in the Presence of Tailwater, Journal of Hydraulic Engineering © ASCE, December 2006

28-06   Greg Paxson and Bruce Savage, Labyrinth Spillways- Comparison of Two Popular U.S.A. Design Methods and Consideration of Non-standard Approach Conditions and Geometries, International Junior Researcher and Engineer Workshop on Hydraulic Structures, Report CH61/06, Div. of Civil Eng., The University of Queensland, Brisbane, Australia-ISBN 1864998687

22-06   Brent Mefford and Jim Higgs, Link River Falls Passage Investigation – Flow Velocity Simulation, Water Resources Research Laboratory, February 2006

27-06  Jungseok Ho, Leslie Hanna, Brent Mefford, and Julie Coonrod, Numerical Modeling Study for Fish Screen at River Intake Channel, EWRI Conference Proc. of World Water and Environmental Resources Congress, ASCE, May 2006, Omaha, Nebraska.

17-06  Woolgar, Robert and Eddy, Wilmore, Using Computational Fluid Dynamics to Address Fish Passage Concerns at the Grand Falls-Windsor Hydroelectric Development, Canadian Dam Association meeting, Quebec City, Canada October 2006

14-06  Fuamba, M., Role and behavior of surge chamber in hydropower- Case of the Robert Bourassa hydroelectric power plant in Quebec, Canada, Dams and Reservoirs, Societies and Environment in the 21st Century- Berga et al (eds) @ 2006 Taylor & Francis Group, London, ISBN 0 415 40423 1

13-06  D.K.H. Ho, B.W. Cooper, K.M. Riddette, S.M. Donohoo, Application of numerical modelling to spillways in Australia, Dams and Reservoirs, Societies and Environment in the 21st Century—Berga et al (eds) © 2006 Taylor & Francis Group, London, ISBN 0 415 40423 1

4-06 James Dexter, William Faisst, Mike Duer and Jerry Flanagan, Computer Simulation Helps Prevent Nitrification of Storage Reservoir, Waterworld, March 2006, pp 18-24

36-05   P. Coussot, N. Rousell, Jarny and H. Chanson, (2005), Continuous or Catastrophic Solid-Liquid Transition in Jammed Systems, Physics of Fluids, Vol. 17, No. 1, Article 011703, 4 pages (ISSN 0031-9171).

35-05    Dae Geun Kim and Jae Hyun Park, Analysis of Flow Structure over Ogee-Spillway in Consideration of Scale and Roughness Effects by Using CFD Model,  KSCE Journal of Civil Engineering. Volume 9, Number 2, March 2005, pp 161 – 169.

31-05 Frank James Dworak, Characterizing Turbulence Structure along Woody Vegetated Banks in Incised Channels: Implications for Stream Restoration, thesis: The University of Tennessee, Knoxville, December 2005 (available upon request)

29-05 Gessler, Dan and Rasmussen, Bernie, Before the Flood, Desktop Engineering, October 2005

25-05   Jorge D. Abad and Marcelo H. Garcia, Hydrodynamics in Kinoshita-generated meandering bends- Importance for river-planform evolution, 4th IAHR Symposium on River, Coastal and Estuarine Morphodynamics, October 4-7, 2005, Urbana, Illinois

23-05 Kristiansen T., Baarholm R., Stansberg C.T., Rørtveit G.J. and Hansen E.W., Steep Wave Kinematics and Interaction with a Vertical Column, Presented at The Fifth International Symposium on Ocean Wave Measurement and Analysis (Waves 2005), Spain, July, 2005

16-05 Dan Gessler, CFD Modeling of Spillway Performance, Proceedings of the 2005 World Water and Environmental Resources Congress (sponsored by Environmental and Water Resources Institute of the American Society of Civil Engineers), May 15-19, 2005, Anchorage, Alaska

12-05 Charles Ortloff, The Water Supply and Distribution System of the Nabataean City of Petra (Jordan), 300 BC- AD 300, Cambridge Archaeological Journal 15:1, 93-109

33-04    Jose Carlos C. Amorim, Cavalcanti Renata Rodrigues, and Marcelo G. Marques, A Numerical and Experimental Study of Hydraulic Jump Stilling Basin, Advances in Hydro-Science and Engineering, Volume VI, Presented at the International Conference on Hydro-Science and Engineering, 2004

23-04   Jose F. Rodriguez, Fabian A. Bombardelli, Marcelo H. Garcia, Kelly Frothingham, Bruce L. Rhoads and Jorge D. Abad, High-Resolution Numerical Simulation of Flow Through a Highly Sinuous River Reach, Water Resources Management, 18:177-199, 2004.

18-04   John Richardson and Douglas Dixon, Modeling the Hydraulics Zone of Influence of Connecticut Yankee Nuclear Plants Cooling Water Intake Structure, a chapter in The Connecticut River Ecological Study (1965-1973) Revisited: Ecology of the Lower Connecticut River 1973-2003, Paul M. Jacobson, Douglas A. Dixon, William C. Leggett, Barton C. Marcy, Jr., and Ronald R. Massengill, editors; Published by American Fisheries Society, Publication date: November 2004, ISBN 1-888569-66-2

10-04   Bruce Savage, Kathleen Frizell, and Jimmy Crowder, Brains versus Brawn- The Changing World of Hydraulic Model Studies

7-04   C. B. Cook and M. C. Richmond, Monitoring and Simulating 3-D Density Currents and the Confluence of the Snake and Clearwater Rivers, Proceedings of EWRI World

24-03  David Ho, Karen Boyes, Shane Donohoo, and Brian Cooper, Numerical Flow Analysis for Spillways, 43rd ANCOLD Conference, Hobart, Tasmania, 24-29 October 2003

15-03   Ho, Dr K H, Boyes, S M, Donohoo, S M, Investigation of Spillway Behaviour Under Increased Maximum Flood by Computational Fluid Dynamics Technique, Proc Conf 14th Australian Fluid Mechanics, Adelaide, Australia, December 2001, 577-580

14-03   Ho, Dr K H, Donohoo, S M, Boyes, K M, Lock, C C, Numerical Analysis and the Real World- It Looks Pretty, but is It Right?, Proceedings of the NAFEMS World Congress, May 2003, Orlando, FL

13-03 Brethour, J. M., Sediment Scour, Flow Science Technical Note (FSI-03-TN62)

26-02   Sungyul Yoo, Kiwon Hong and Manha Hwang, A 3-dimensional numerical study of flow patterns around a multipurpose dam, 2002 Hydroinformatics Conference, Cardiff, Wales

23-02   Christopher B. Cook, Marshall C. Richmond, John A. Serkowski, and Laurie L. Ebner, Free-Surface Computational Fluid Dynamics Modeling of a Spillway and Tailrace- Case Study of The Dalles Project, Hydrovision 2002, 29 July -†2 Aug, 2002 Portland, OR

13-02   Efrem Teklemariam, Brian W. Korbaylo, Joe L. Groeneveld & David M. Fuchs, Computational Fluid Dynamics- Diverse Applications In Hydropower Project’s Design and Analysis, June 11-14, 2002, CWRA 55th Annual Conference, Winnipeg, Manitoba, CA

12-02   Snorre Heimsund, Ernst Hansen, W Nemec, Computational 3-D Fluid Dynamics Model for Sediment Transport, Erosion, and Deposition by Turbidity Currents, 16th International Sedimentological Congress Abstract Volume (2002) XX-XX

9-02   D. T. Souders & C. W. Hirt, Modeling Roughness Effects in Open Channel Flows, Flow Science Technical Note (FSI-02-TN60), May 2002

47-01    Fabián A. Bombardelli and Marcelo H. García, Three-dimensional Hydrodynamic Modeling of Density Currents in the Chicago River, Illinois, CIVIL ENGINEERING SERIES, UILU-ENG-01-2001 Hydraulic Engineering Series No. # 68, ISSN: 0442-1744, 2001

44-01   Christopher B. Cook and Marshall C. Richmond, Simulation of Tailrace Hydrodynamics Using Computational Fluid Dynamics Models, Report Number: PNNL-13467, May 2001

40-01 Joe L. Groeneveld, Kevin M. Sydor and David M. Fuchs (Acres Manitoba Ltd., Winnipeg, Manitoba, Canada) and Efrem Teklemariam and Brian W. Korbaylo (Manitoba Hydro, Winnipeg, Manitoba, Canada), Optimization of Hydraulic Design Using Computational Fluid Dynamics, Waterpower XII, July 9-11, 2001, Salt Lake City, Utah

39-01   Savage, B.M and Johnson, M.C., Flow over Ogee Spillway- Physical and Numerical Model Case Study, Journal of Hydraulic Engineering, ASCE, August 2001, pp. 640-649

38-01   Newell, Carter, Sustainable Mussel Culture- A Millenial Perspective, Bulletin of the Aquaculture Association of Canada, August 2001, pp 15-21

36-01   Diane L. Foster, Ohio State University, Numerical Simulations of Sediment Transport and Scour Around Mines, paper presented to the Office of Naval Research, Mine Burial Prediction Program, 2001

35-01 Heather D. Smith, Diane L. Foster, Ohio State University, The Modeling of Flow Around a Cylinder and Scour Hole, Poster prepared for the Office of Naval Research, Mine Burial Prediction Program, 2002

28-01   Brethour, J.M., Transient 3D Model for Lifting, Transporting, and Depositing Solid Material, Proc. 3rd Intrn. Environmental Hydraulics, Dec. 5-8, 2001, Tempe, AZ

25-01  Yuichi Kitamura, Takahiro Kato, & Petek Kitamura, Mathematical Modeling for Fish Adaptive Behavior in a Current, Proceedings of the 2001International Symposium of Environmental Hydraulics, Chigaski R&D Center

22-01 C. R. Ortloff, D. P. Crouch, The Urban Water Supply and Distribution System of the Ionian City of Ephesos in the Roman Imperial Period, CTC/United Defense Journal of Archeological Science (2001), pp 843-860

13-01 I. Lavedrine, and Darren Woolf, ARUP Research and Development, Application of CFD Modelling to Hydraulic Structures, CCWI 2001, Leicaster United Kingdom, 3-5 September 2001, De Montfort University

4-01 Rodriguez, Garcia, Bombardelli, Guzman, Rhoads, and Herricks, Naturalization of Urban Streams Using In-Channel Structures, Joint Conference on Water Resources Engineering and Water Resources Planning and Management, ASCE, July 30-August 2, 2000, Minneapolis, Minnesota

27-00    Tony L. Wahl, John A. Replogle, Brain T. Wahlin, and James A. Higgs, New Developments in Design and Application of Long-Throated Flumes, 2000 Joint Conference on Water Resources Engineering and Water Resources Planning & Management, Minneapolis, Minnesota, July 30-August 2, 2000.

5-00   John E. Richardson and Karel Pryl, Computer Simulation Helps Prague Modernize and Expand Sewer System, Water Engineering and Management, June, 2000, pp. 10-13; and in Municipal World, June, 2000, pp. 19-20,30

3-00 Efrem Teklemariam and John L. Groeneveld, Solving Problems in Design and Dam Safety with Computational Fluid Dynamics, Hydro Review, May, 2000, pp.48-52

1-00 Scott F. Bradford, Numerical Simulation of Surf Zone Dynamics, Journal of Waterway, Port, Coastal and Ocean Engineering, January/February, 2000, pp.1-13

9-99 John E. Richardson and Karel Pryl, Computational Fluid Dynamics, CE News, October, 1999, pp. 74-76

4-99 J. Groeneveld, Computer Simulation Leads to Faster, Cheaper Options, Water Engineering & Management magazine, pp.14-17, June 1999

16-98 C. R. Ortloff, Hydraulic Analysis of a Self-Cleaning Drainage Outlet at the Hellenistic City of Priene, Journal Archaeological Science, 25, 1211-1220, Article No. as980292, 1998

13-98 J. F. Echols, M.A. Pratt, K. A. Williams, Using CFD to Model Flow in Large Circulating Water Systems, Proc. PowerGen International, Orlando, FL, Dec. 9-11, 1998.

12-98 K. A. Williams, I. A. Diaz-Tous, P. Ulovg, Reduction in Pumping Power Requirements of the Circulation Water (CW) System at TU Electric’s Martin Lake Plant Using Computation Fluid Dynamics (CFD), ASME Mechanical Engineering Magazine, Jan. 1999

8-98 D. Hrabak, K. Pryl, J. Richardson, Calibration of Flowmeters using FLOW-3D Software, Hydroinform, a.s., Prague, CTU Prague, Flow Science Inc, USA, proceedings from the 3rd International Novatech Conference, Lyon, France, May 4-6, 1998

16-96 E. J. Kent and J.E. Richardson, Three-Dimensional Hydraulic Analysis for Calculation of Scour at Bridge Piers with Fender Systems, Earth Tech, Concord, NK and Flow Science Inc, Los Alamos, NM report, December 1996

12-96 J. E. Richardson, Control of Hydraulic Jump by Abrupt Drop, XXVII IAHR Congress, Water for a Changing Global Community, San Francisco, August 10, 1997

6-96 Y. Miyamoto, A Three-Dimensional Analysis around the Open Area of a Tsunami Breakwater, technical report, SEA Corporation, Tokyo, Japan, to be presented at the HYDROINFORMATICS 96 Conference, Zurich, Switzerland, Sept. 11-13, 1996

4-95 J. E. Richardson, V. G. Panchang and E. Kent, Three-Dimensional Numerical Simulation of Flow Around Bridge Sub-structures, presented at the Hydraulics ’95 ASCE Conference, San Antonio, TX, Aug. 1995

3-95 Y. Miyamoto and K. Ishino, Three Dimensional Flow Analysis in Open Channel, presented at the IAHR Conference, HYDRA 2000, Vol. 1, Thomas Telford, London, Sept. 1995

16-94 M. S. Gosselin and D. M. Sheppard, Time Rate of Local Scour, proceedings of ASCE Conf. on Water Resources Engineering, San Antonio, TX, August 1994

8-94 C. W. Hirt, Weir Discharges and Counter Currents, Flow Science report, FSI-94-00-3, to be presented at the Hydroinformatics Conference, IHE Delft, The Netherlands, Sept. 1994

7-94 C. W. Hirt and K. A.Williams, FLOW-3D Predictions for Free Discharge and Submerged Parshall Flumes, Flow Science Technical Note #40, August 1994 (FSI-94-TN40)

11-93 K. Ishino, H. Otani, R. Okada and Y. Nakagawa, The Flow Structure Around a Cylindrical Pier for the Flow of Transcritical Reynolds Number, Taisei Corp., Honshu Shikoku Bridge Authority, Akashi Kaikyo Ohashi Substructure Construction, Proc. XXV, Congress Intern. Assoc. Hydraulic Res., V, 417-424 (1993) Tokyo, Japan

6-87 J.M. Sicilian, A FLOW-3D Model for Flow in a Water Turbine Passage, Flow Science report, July 1987 (FSI-87-36-1)

Free Surface Fluid Flow | 자유 표면 유체 흐름

Free Surface Fluid Flow

유체 흐름 문제는 복잡한 기하학적 구조의 자유 표면과 관련되는 경우가 많으며 대부분 매우 일시적입니다. 수력학의 예로는 배수로, 강, 교각 주변, 홍수 범람, 수문, 잠금 장치 및 다수의 기타 구조물의 흐름이 있습니다. 이러한 유형의 흐름을 계산적으로 모델링 하는 능력은 이러한 계산이 정확하고 합리적인 계산 자원으로 수행될 수 있다면 매력적입니다. 유용하게 사용하려면 시뮬레이션은 물리적 모델을 사용하는 것보다 훨씬 빠르고 저렴해야 합니다.

Fluid flow problems often involve free surfaces in complex geometry and in many cases are highly transient. Examples in hydraulics are flows over spillways, in rivers, around bridge pilings, flood overflows, flows in sluices, locks, and a host of other structures. A capability to computationally model these types of flows is attractive if such computations can be done accurately and with reasonable computational resources. To be useful, simulations should be much faster and less expensive than using physical models.

많은 컴퓨터 프로그램은 유체의 역학을 설명하는 편미분 방정식을 풀 수 있습니다. 시뮬레이션에 자유 표면을 포함 할 수있는 프로그램은 많지 않습니다.  그 이유는 Free Surface 경계 문제로 잘 알려진 수학적인 문제입니다.  자유 경계 문제는 다루기 어려운 표면이 이동함에 따라 계산 영역이 변화하는 한편, 그 표면 이동 자체가 계산에 의해 결정된다는 점에 있습니다.  계산 영역의 변화는 그 크기와 모양의 변화뿐만 아니라, 경우에 따라서는 영역의 결합과 분리(즉, 자유 표면의 발생과 소멸)을 포함합니다.

Many computer programs can solve the partial differential equations describing the dynamics of fluids. Not many programs are capable of including free surfaces in their simulations. The difficulty is a classical mathematical one often referred to as the free-boundary problem. A free boundary poses the difficulty that on the one hand the solution region changes when its surface moves, and on the other hand, the motion of the surface is in turn determined by the solution. Changes in the solution region include not only changes in size and shape, but in some cases, may also include the coalescence and break up of regions (i.e., the loss and gain of free surfaces).

이 책에서는 모든 자유 표면을 고려한 유체흐름 현상을 수치 해석용으로 모델링하는 방법에 대해 설명합니다.  이 기술은 VOF (Volume-of-Fluid) 법에 근거한 것으로, 특히 자유 표면 흐름에 적합한 다양한 기능을 제공합니다.  이 책에서는 VOF 법이 자유 표면과 그 발생과 소멸을 해석하는데 가장 자연스럽고 매우 효율적인 방법을 제시합니다.

In this note a computational modeling technique for fluid flows with arbitrary free surfaces is discussed. The technique is based on the Volume-of-Fluid (VOF) technique. This technique has many unique properties that make it especially applicable to flows having free surfaces. The goal of this discussion is to show why the VOF approach offers a natural way to capture free surfaces and their evolution with great efficiency.

VOF 법의 특징을 잘 보여주기 위해 간단하지만 매우 중요한 유동 현상에 관한 문제를 다룹니다.  여기에서는 계단 낙차형상의 낙하류를 예로 들어 있습니다.  개념적으로 간단한 흐름인 동시에 결과의 타당성을 확인하기위한 좋은 실험 데이터도 제공되어 있습니다 (N. Rajaratnam and MR Chamani “Energy Loss at Drops”J. Hydraulic Res. Vol. 33 p.373,1995 참조).

A good recommendation for the VOF method is to demonstrate its capabilities on a simple hydraulic flow problem, one that is far from trivial. The example selected is of flow over a step. This flow has conceptual simplicity and good experimental data available for validation (see N. Rajaratnam and M.R. Chamani, “Energy Loss at Drops,” J. Hydraulic Res. Vol. 33, p.373, 1995).

Prototype Hydraulic Flow with Free Surfaces

그림 1a는 정상 상태에 도달 한 후 흐름의 문제를 보여줍니다.  계단 낙차형상 상부로부터의 월류(액체 또는 스냅 시트)에는 상하 모두의 자유 표면이 있습니다.  월류의 아래쪽에는 월류와 계단 가공면 사이에 웅덩이가 형성되어 있으며, 하류에서는 액체는 평평한 정상 표면에서 오른쪽으로 흐르고 있습니다.  엄밀히 말하면, 웅덩이 영역의 흐름 상태는 정상입니다.  이것은 충돌하는 액체에 의해 풀에 난류 혼합이 발생하고 있기 때문입니다.  그러나 평균적인 구성이 존재하고 그것은 실험에서도 보고됩니다.

Figure 1a shows the flow problem after it has reached a steady-state condition. The overflow (sheet of liquid or nappe) leaving the top of the step has both an upper and lower free surface. At the bottom of the overflow a pool has formed between the overflow and the face of the step, while downstream, liquid is flowing to the right with a flat, steady surface. Strictly speaking, the flow conditions in the pool region are not steady because turbulent mixing is generated in the pool by the impinging fluid. There is, however, an average configuration and that is what is reported in the experiments.

실용적인 목적 유동 흐름은 항상 2 차원입니다.  즉, 그림 1a에서 수직 방향에서는 큰 변화는 없습니다.  현실에서는 웅덩이 위쪽으로 공간을 만들기 위해서는 대기에 여유공간이 필요하고, 그게 없으면 닫힐 것입니다.

For all practical purposes the flow is two-dimensional, that is, it does not have any significant variation in the direction normal to the illustration in Fig. 1a. In actuality, to have an air space above the pool there must be some opening to the atmosphere otherwise it would close up.

계단 낙차형상 상단의 유속은 중요합니다.  즉, 이것은 표면파와 같거나 그 이상의 속도이기 때문에 하류에서의 교란이 영역을 관통하고 상류 흐름 (계단 낙차형상의 왼쪽)에 영향을 줄 수 없습니다.  따라서 이 영역에서의 흐름은 예외적으로 원활하고 정상입니다.

The flow speed at the top of the step is critical, that is, it has a speed equal to or greater than the speed of surface waves, so that no disturbances from downstream can penetrate through this region to affect flow upstream (to the left of the step), which is why the flow is exceptionally smooth and steady in that region.

이 문제는 수치 시뮬레이션과 비교할 수 있는 기하 형상 기능이 많이 있습니다.  예를 들어, 계단 낙차형상의 전후 흐름의 높이, 월류가 바닥에 충돌 할 때의 각도, 월류 아래에 형성되는 웅덩이의 깊이 등입니다.  또한 실용화를 위한 중요한 비교 항목으로는, 계단 낙차형상을 통해 떨어지는 낙하 류에 의해 손실되는 에너지의 양 (운동 에너지와 위치 에너지의 합)가 있습니다.

There are many geometric features in this problem that can be compared with a numerical simulation; such as flow heights before and after the step, the angle of the overflow stream when it strikes the bottom and the depth of the pool formed under the overflow. Additionally, an important comparison for practical applications is the amount of energy (i.e., kinetic plus potential) lost by the flow in passing over the step.

Simulation of Prototype Problem

그림 1a는 시뮬레이션의 결과입니다.  이 예에서는 실험에 사용된 모든 기하 형상 및 물질의 특성이 시뮬레이션에 사용되었습니다.  실험실 테스트에서 사용한 계단 낙차형상의 높이가 62cm에서 액체는 보통의 물 (밀도 = 1.0gm / cc 어떻게 점성 = 0.01dynes / cm)입니다.  계산 영역에 들어가는 물의 깊이는 15.5cm에서 속도가 임계에 가까운 123.0cm/s 였습니다.  물론, 중력은 수직 방향으로 크기는 g = -980cm / s^2입니다.

Figure 1a is from a simulation. For this example all of the geometric and material properties used in the experiments were used in the simulation. The height of the step used in the laboratory test is 62cm and the fluid is ordinary water (density=1.0 gm/cc and dynamic viscosity=0.01dynes/cm). The depth of water entering the computational region was 15.5cm and was given a near critical velocity of 123.0cm/s. Of course, gravity was in the vertical direction with magnitude g=-980cm/s^2.

Figure 1a. Simulation of flow over a step. Figure 1b. Grid used in simulation.
Figure 1a. Simulation of flow over a step. Figure 1b. Grid used in simulation.

월류 왼쪽에 있는 웅덩이에 난류가 발생 할 것으로 예상 되었기 때문에, 시뮬레이션에서는 난류 모델 (the Renormalization Group, 즉 RNG 모델)을 사용했습니다.  그 후, 난류 모델을 사용하지 않고 한 시뮬레이션에서도 비슷한 결과를 얻을 수 있었지만, 이것은 그다지 놀라운 일이 아닙니다.  흐름의 중요한 요소의 대부분은 매끄러운 (즉 난류가 아닌) 유입, 유출, 월류 때문입니다.

Because some turbulence was expected to develop in the pool to the left of the overflow, a turbulence model (the Renormalization Group or RNG model) was used in the simulation. Subsequent simulations without a turbulence model produced very similar results, which is not too surprising since most of the important elements of the flow are smooth (i.e., non-turbulent) inflow, overflow and outflow streams.

그림 1b 시뮬레이션 영역은 폭 170cm, 높이 100cm에 가로 80 개, 세로 60 개, 총 4800 개의 셀로 구성되는 같은 크기의 사각형 셀의 격자로 세분화되어 있습니다.  이 격자는 유체 역학의 지배 미분 방정식 (나비에 – 스토크스 방정식)의 유한 차분 근사의 기초로 사용됩니다.  격자 셀의 수와 크기는 흐름 속에서 예측되는 최소의 특성을 파악하는 목적으로 선택되었습니다.  결과를보고 어떤 조정이 필요하다고 생각되는 경우는 숫자를 쉽게 늘리거나 줄일 수 있습니다.  사실, 해상도를 바꾸어 시뮬레이션을 반복하여 계산이 그러한 변화에 영향을 많이 들어 있지 않은지 확인하는 것이 좋습니다.

The simulation region shown in Fig. 1b is 170cm wide and 100cm high and has been subdivided into a grid of equal sized rectangular cells consisting of 80 cells in the horizontal direction and 60 cells in the vertical direction, for a total of 4800 cells. This grid is used as the basis for finite-difference approximations of the governing differential equations of fluid dynamics (the Navier-Stokes equations). The number and size of the grid cells was chosen with the goal of capturing the smallest expected features of the flow. The number can be easily increased or decreased if the results seem to warrant some adjustment. In fact, it is often a good idea to repeat a simulation with a change of resolution to make sure that the solution is not too sensitive to such changes.

왼쪽의 경계는 지정된 속도 경계입니다 (유체의 높이도 지정).  오른쪽의 경계는 유출 경계에서 모든 유량이 경계에 수직 제로 기울기이며, 균일 한 유출이 촉진됩니다.  상하 경계는 단단한 벽으로 세 번째 방향의 경계는 대칭면 (점성 저항 제로의 벽)으로 처리되었습니다.  계단 낙차형상의 표면도 자유-미끄럼(free slip) 경계로 처리되었습니다.

The left boundary was a specified velocity boundary (also with a specified fluid height). The right boundary was an outflow boundary where all flow quantities have a zero gradient normal to the boundary to encourage a uniform outflow. The top and bottom boundaries are rigid walls, while in the third direction the boundaries were treated as planes of symmetry (i.e., walls with zero viscous drag). The surface of the step was also treated as a free-slip boundary.

초기 조건은 예측되는 흐름의 배열을 대략적으로 근사하도록 설정할 수 있었지만, 흐름의 구성은 계산하고 싶은 것 중 하나이기 때문에 유체가 어떻게 분포되는지를 모르는 경우에는 간단한 방법이 필요합니다.  이 예제에서는 비정상 흐름 시뮬레이터를 사용했기 때문에 그림 1a의 계단 낙차형상에 유체의 블록만 있고 왼쪽 경계의 같은 수평 속도와 높이가 할당된 간단한 초기 조건을 정의할 수 있습니다.  시뮬레이션은 이후 정상 흐름으로 발전하고 있지만, 이것은 약 8.0 초 후에 발생합니다.  시뮬레이션은 정상 상태에 도달 한 것을 보장하기 위해, 10.0 초의 시간까지 실행되었습니다.  그림 2는 중간 시간을 두 보여줍니다.  도 2b는 0.2 초, 그림 2c는 0.5 초 시점에서 그림 2d는 마지막 10.0 초 시점을 보여줍니다.

Initial conditions could have been set to roughly approximate the expected flow arrangement, but since the flow configuration is one of the things that one would like to compute, especially for situations where one doesn’t know what the distribution of fluid is likely to be, a simpler approach is needed. Because a transient flow simulator was used for this example a simple initial condition could be defined that consisted of just a block of fluid on top of the step, Fig. 1a with the same horizontal velocity and height assigned to the left boundary. The simulation then followed the development of the steady flow, which occurs after about 8.0s. The simulation was run out to a time of 10.0s to assure that steady conditions had been reached. Figure 2 shows two intermediate times; 2.b at 0.2s and 2.c at 0.5s plus the final time in 2.d at 10.0s.

Figures 2a-2d. Simulation times of 0.0, 0.2, 0.5 and 10.0s.
Figures 2a-2d. Simulation times of 0.0, 0.2, 0.5 and 10.0s.

처음에는 단일 결합하고 있는 자유 표면이었던 것이 액체가 바닥에 충돌한 후 2 개의 독립적인 자유 표면 (상하 스냅 표면)으로 변화하는 것에 주목하십시오.  아래 경계의 충격점의 좌우로 흐름이 분리되도 문제는 없습니다.  이에 대해서는 다음 섹션에서 자세히 설명합니다.

It should be noted that what starts as a single, connected free surface changes to two independent free surfaces (upper and lower nappe surfaces) after the fluid strikes the bottom. No difficulties are experienced with this separation of the flow into portions flowing to the left and right of the impact point on the bottom boundary. This will be discussed at further length in the next section.

실험과 시뮬레이션의 비교는 다음 표와 같으며 매우 잘 일치하고 있습니다.

Comparisons between experiment and simulation are given in the following table and are in excellent agreement.

Comparison TableExperimental ResultsSimulation Results
Outflow Height/Step Height0.0940.094
Pool Height/Step Height0.410.41
Angle of Nappe at Bottom57°59°
Energy Loss/Initial Energy0.290.296

이러한 결과를 고려하면이 같은 정밀도를 달성하려면 상당한 계산시간이 필요할 것으로 생각될지도 모릅니다.  그러나 실제로는 Pentium 4, 3.20GHz의 데스크톱 컴퓨터의 총 CPU 시간은 단 88 초였습니다. 계산시간이 너무 짧은 것은 설명이 필요하며, 이것은 다음 섹션의 목적입니다.

In view of these results it might be expected that a considerable amount of computational time would be required to achieve such accuracy. In fact, the total cpu time on a desktop Pentium 4, 3.20GHz computer was only 88s. Such a short computational time requires explanation and that is the purpose of the following sections.

Figures 2a-2d. Simulation times of 0.0, 0.2, 0.5 and 10.0s.
Figures 2a-2d. Simulation times of 0.0, 0.2, 0.5 and 10.0s.

Why the VOF Technique Works Well / VOF 법이 적합한 이유

VOF 법의 구조와 그것이 매우 효율적인 방법인 이유를 이해하기 위해 다양한 계산법 중에서도 특히 VOF 법에 대한 몇 가지 기본 개념을 나타냅니다.

There are a few general concepts about computational methods and the VOF technique in particular that can be used to gain an understanding of how and why VOF works so efficiently.

Basic Theory

모든 수치해석 방법에서 흐름의 문제를 단순하게 산술 계산하도록 유한의 수치 세트로 단순화해야합니다.  연속 유체를 이산화된 수치 세트에 근사하기 위해서 일반적으로 사용되는 것이 유체가 차지하는 공간을 격자로 분할하는 방법입니다.  이 격자는 일반적으로 다수의 작은 직사각형의 블록(요소)로 구성됩니다.  이러한 각 요소에 대해 평균화 처리를 실시함으로써 그 요소의 유체의 압력, 밀도, 속도 및 온도의 대표 값을 얻을 수 있습니다.

All numerical methods must use some simplification to reduce a fluid flow problem to a finite set of numerical values that can then be manipulated using elementary arithmetical operations. A typical procedure for approximating a continuous fluid by a discrete set of numerical values is to subdivide the space occupied by the fluid into a grid consisting of a set of small, often rectangular “bricks.” Within each element an averaging process is applied to obtain representative element values for the fluid’s pressure, density, velocity and temperature.

간단한 수식을 사용해, 어느 시간에 걸친 각 요소 값과 인접한 요소의 상호 작용을 근사할 수 있습니다.  예를 들어, 요소의 밀도는 그 요소와 인접 요소 사이에서 (질량 보존에 의한) 질량 유량이 교환된 경우에만 변경됩니다.  요소 사이에서 질량이 교환되는 물질의 속도는 운동량 보존 법칙에 의해 계산되며 일반적으로 나비에-스토크스 방정식으로 표현됩니다.  나비에-스토크스 방정식은 인접한 요소 사이에 작용하는 압력과 점성 응력을 이용하여 요소에서 변화하는 유체 속도를 근사합니다.

Simple equations can be devised to approximate how each element’s values interact with neighboring elements over time. For instance, the density of an element can only change when there is a net flow of mass exchanged between an element and its neighbors (i.e., conservation of mass). The material velocity that carries mass between elements is computed from the conservation of momentum principal, usually expressed in the form of the Navier-Stokes equations, which uses the pressures and viscous stresses acting between neighboring elements to approximate the changing fluid velocities in the elements.

이러한 요소와 인접 요소 사이의 상호 작용에 따른 아이디어는 편미분 방정식 근방의 양의 변화에 의해 생기는 작은 변화의 효과를 평가하는 것과 본질적으로 동일합니다.  공학계의 교과서에서 파생된 작은 컨트롤 볼륨을 사용하여 그 크기를 무한대까지 작게 한 근사치의 극한으로 편미분 방정식이 유도됩니다.  수치 시뮬레이션에서도 같은 방식을 취하고 있지만, 요소 수가 너무 많으면 추적이 어렵게  되어 컨트롤 볼륨의 크기를 최대한 작게 만들 수 없습니다.  실제 시뮬레이션 현상을 해결하는데 충분하고 계산 시간을 최소한으로 억제 할 수 있는 요소수를 설정하는 것이 목표입니다.

This idea of an element interacting with its neighbors is essentially what is meant by a partial differential equation; that is, evaluating the effects of small changes caused by the variation in quantities nearby. Partial differential equations are typically derived in engineering text books as the limit of approximations made with small control volumes whose sizes are then reduced to infinitesimal values. In a numerical simulation the same thing is done except that the control volume sizes cannot be taken to the limit because that would require too many elements to keep track of. In practice, the goal is to use enough elements to resolve the phenomena of interest, and no more, so that computing times are kept to a minimum.

요소에 사용되는 연산은 기본적으로 더하기, 빼기, 곱하기 및 나누기만 포함된 간단한 것입니다.  예를 들어, 요소의 질량의 변화는 일정한 시간 간격에 걸쳐 요소의 측면에서 유입 및 유출된 질량의 가산 및 감산에서 구할 수 있습니다. 그러나 시뮬레이션에서는 이러한 연산을 수천, 때로는 수백만 요소에 대해 매우 짧은 시간 간격에 대해 반복 계산해야합니다.  따라서 이러한 반복 계산의 고속 처리는 컴퓨터가 적합합니다.

Arithmetical operations associated with an element generally involve only simple addition, subtraction, multiplication and division. For instance, the change of mass in an element involves the addition and subtraction of mass entering and leaving through the faces of the element over a fixed interval of time. A simulation requires that these operations be done for thousands or even millions of elements as well as repeated for many small time intervals. Computers are ideal for performing these types of repetitive operations very rapidly.

자유 표면을 수반하는 유체 운동의 시뮬레이션에서는 형상이 변화하는 계산 영역을 다루어야합니다.  이 복잡성에 대응할 수있는 분석 방법이 아래에서 설명하는 VOF 법입니다.

Simulating fluid motion with free surfaces introduces the complexity of having to deal with solution regions whose shapes are changing. A convenient way to deal with this is to use the Volume of Fluid (VOF) technique described next.

The VOF Concept

VOF 법은 각 격자 셀의 체적 중 액체가 차지하는 비율, 즉 체적 점유율을 기록한다는 생각에 근거합니다.  일반적으로 부피 점유율은  F로 표시됩니다.  F는 부피 점유율이기 때문에 값이 취할 수있는 범위는 0.0 ~ 1.0입니다.

The VOF technique is based on the idea of recording in each grid cell the fractional portion of the cell volume that is occupied by liquid. Typically the fractional volume is represented by the quantity F. Because it is a fractional volume, F must have a value between 0.0 and 1.0.

액체 내부의 영역에서는 F 값은 1.0이 액체의 외부, 즉 (공기 등) 기체 영역에서 F 값은 0입니다.  F 값이 0.0과 1.0 사이에서 변화하는 장소가 자유 표면이 존재하는 위치입니다.  즉 0.0보다 크고 1.0보다 작은 F 값을 가지는 요소는 반드시 표면을 가지고 있습니다.

In interior regions of liquid the value of F would be 1.0, while outside of the liquid, in regions of gas (air for example), the value of F is zero. The location of a free surface is where F changes from 0.0 to 1.0. Thus, any element having an F value lying between 0.0 and 1.0 must contain a surface.

여기서 유의해야 할 것은 VOF 법에서 자유 표면을 직접적으로 정의하는 것이 아니라 벌크 유체의 위치를 정의한다는 점입니다.  이렇게하면 계산상의 어려움을 초래하지 않고 유체 영역을 결합 또는 분할 할 수 있습니다.  자유 표면은 단순히 유체의 체적 점유율이 1.0과 0.0 사이에서 변화하는 장소로 정의됩니다.  이것은 자유 표면을 수반하는 거의 모든 문제에 적용 할 수 VOF 법의 뛰어난 특징이기도합니다.

It is important to emphasize that the VOF technique does not directly define a free surface, but rather defines the location of bulk fluid. It is for this reason that fluid regions can coalesce or break up without causing computational difficulties. Free surfaces are simply a consequence of where the fluid volume fraction passes from 1.0 to 0.0. This is a very desirable feature that makes the VOF technique applicable to just about any kind of free surface problem.

또한 격자의 각 요소에 단일 수치 (F)를 할당하여 유체의 위치를 기록 할 수 있는 점도 VOF 법의 중요한 특징입니다.  이것은 평균값을 기준으로 압력과 속도 등 다른 모든 유체 물성의 기록과 완전히 일치합니다.

Another important feature of the VOF technique is that it records the location of fluid by assigning a single numerical value (F) to each grid element. This is completely consistent with the recording of all other fluid properties in an element such as pressure and velocity components by their average values.

Some Details of the VOF Technique

Figure 3. Surface in 1D column of elements.

정확도를 위해 요소 내에 자유 표면을 배치하는 방법을 갖는 것이 바람직합니다. 인접 요소의 F 값을 고려하면 이를 쉽게 할 수 있습니다.  예를 들어, 열의 일부에 액체가 충전되어있는 1 차원 요소를 상상하십시오 (그림 3).  액체의 표면은 열 중앙 영역의 요소에 있습니다.  이것을 표면 요소라고합니다.  여기에서는 표면 요소를 제외하고 F 값은 0.0 또는 1.0이어야한다고 가정하고 있기 때문에 이를 사용하여 표면의 정확한 위치를 파악할 수 있습니다.  우선, 표면이 표면 또는 바닥을 확인하는 테스트를 실시합니다.  표면요소에 대해 액체가 없을 경우에는 표면으로 간주합니다.  위의 요소에 액체가 들어있는 경우는 물론, 그 표면은 바닥입니다.  윗면에 관해서는 정확한 위치는 표면 요소의 아래쪽에서 위쪽으로 요소의 세로 크기를 F 배 한 거리에있는로 계산합니다.  바닥도 마찬가지로 표면 요소의 상단에서 아래로, 요소의 세로 크기를 F 배 한 거리에 있습니다.  이 방법에 의한 요소의 표면 위치의 특정은 요소 내의 액체의 부피 점유율로 F를 정의한 후에 합니다.

For accuracy purposes it is desirable to have a way to locate a free surface within an element. Considering the F values in neighboring elements can easily do this. For example, imagine a one-dimensional column of elements in which a portion of the column is filled with liquid, Fig. 3. The liquid surface is in an element in the central region of the column, which will be referred to as the surface element. Because we assume the values of F must be either 0.0 or 1.0, except in the surface element, we can use this to locate the exact position of the surface. First a test is made to see if the surface is a top or bottom surface. If the element above the surface element is empty of liquid, the surface must be a top surface. It the element above is full of liquid then, of course, the surface is a bottom surface. For a top surface we compute its exact location as lying above the bottom edge of the surface element by a distance equal to F times the vertical size of the element. A bottom surface is similarly located a distance equal to F times the vertical size of the element below the top edge of the surface element. Locating the surface within an element in this way follows from the definition of F as a fractional volume of liquid in the element.

1 차원 열의 표면 위치 계산은 간단하고 정확하며 계산이 거의 필요없습니다. 그러나 2 차원 및 3 차원의 경우 하나의 표면 셀에 연속적인 표면 방향이 존재할 가능성이 있기 때문에 위치 계산은 조금 복잡해집니다.  그럼에도 불구하고 이를 취급하는 것은 어렵지 않습니다.  그림 4의 이차원의 예는 표면의 위치를 계산할 뿐만 아니라 경사와 곡률도 이해할 수 있는 쉬운 방법을 보여줍니다.

Calculating surface locations in one-dimensional columns is simple, accurate and requires very little arithmetic. In two and three dimensional situations, however, computing a location is a little more complicated because there is a continuous range of surface orientations possible within a surface cell. Nevertheless, dealing with this is not difficult. A two-dimensional example, Fig. 4, will illustrate a simple way to not only compute the location of the surface, but also to get a good idea of its slope and curvature.

Figure 4. Surface in 2D grid of elements.

1 차원의 경우처럼 먼저 인근 요소를 테스트하여 표면의 대략적인 방향을 찾아야합니다.  그림 4는 바깥 쪽의 법선이 상승 방향에 가장 가깝게 됩니다.  이것은 그 방향 밖의 값의 차이가 다른 방향보다 크기 때문입니다.  그럼 거의 수직으로 있는 요소 열에서 표면의 국소적인 높이가 계산됩니다.  그림 4의 2 차원의 경우에는 이러한 높이가 화살표로 표시되어 있습니다.  마지막으로, 표면 요소를 포함하는 컬럼의 높이에 따라 그 요소의 표면의 위치를 확인합니다.  다른 2 개의 높이를 사용하면 국소적인 표면 경사와 표면 곡률을 계산할 수 있습니다.

As in the one-dimensional case, it is first necessary to find the approximate orientation of the surface by testing the neighboring elements. In Fig. 4 the outward normal would be closest to the upward direction because the difference in neighboring values in that direction is larger than in any other direction. Next, local heights of the surface are computed in element columns that lie in the approximate normal direction. For the two-dimensional case in Fig. 4 these heights are indicated by arrows. Finally, the height in the column containing the surface element gives the location of the surface in that element, while the other two heights can be used to compute the local surface slope and surface curvature.

3 차원에서도 동일한 절차를 사용하지만, 표면 요소의 주위에 있는 9개의 열에 대해 열 높이를 요구해야합니다.  필요한 계산은 조금 더 걸리지만, 주된 내용은 열의 간단한 덧셈과 경사와 곡률을 추구하는 열의 높이의 합과 차이가 있습니다.  이 토론을 토대로, 이제 자유 표면을 정의하는 데 필요한 모든 정보를 빠르고 쉽게 평가하기 위해 부분 유체 체적을 사용하는 방법을 알아야합니다.

In three-dimensions the same procedure is used although column heights must be evaluated for nine columns around the surface element. Although a little more computation is needed, it consists primarily of simple summations in the columns and then sums and differences of column heights for evaluating the slope and curvature. Based on this discussion, the reader should now see how the fractional fluid volume can be used to quickly and easily evaluate all the information needed to define free surfaces.

다루어야 할 문제가 앞으로 2 개 남아 있습니다.  하나는 그림 1 및 2와 같은 시뮬레이션은 유체가 존재하는 영역에는 유체 역학만으로 해결합니다.  이것은 VOF 법의 계산 효율이 높은 또 하나의 이유입니다.  계단 형상의 낙하류의 문제로 유체가 차지하는 영역은 계산 격자의 오픈 공간의 절반 이하입니다.  액체를 둘러싼 기체의 흐름을 계산할 필요가 있다면 필요한 계산 시간이 크게 늘어납니다.  그러나 액체만으로 계산을 할 경우 자유 표면 경계 조건을 지정해야합니다.  이 조건은 접선 응력의 소실과 기체의 압력에 동일한 표준 압력을 표면에 추가하는 것입니다.

There are two remaining issues to deal with. One issue is that a simulation like that in Figs. 1 and 2 is only solving for the fluid dynamics in regions where there is fluid. This is another reason for the computational efficiency of the VOF method. The region occupied by fluid in the flow over a step problem is much less than half of the open region in the computational grid. If it were necessary to also solve for the flow of gas surrounding the liquid, then considerably more computational time would be required. In order to perform solutions only in the liquid, however, it is necessary to specify boundary conditions at free surfaces. These conditions are the vanishing of the tangential stress and application of a normal pressure at the surface that equals the pressure of the gas.

두 번째 문제는 자유 표면이 유체와 함께 움직일 때의 움직임과 변형을 유체 점유율 변수 F를 구함으로써 계산해야 한다는 것입니다.  변수 F는 불연속 (주로 0.0 또는 1.0)이기 때문에 계산 격자를 이동할 때 이 불연속성이 유지되도록주의해야합니다.  VOF 법은이 목적으로 특수 이류(advection) 알고리즘이 사용되고 있습니다.

A second issue is that movement and deformation of a free surface must be computed by solving for the fraction of fluid variable, F, as it moves with the fluid. Because the variable F is discontinuous (i.e., primarily 0.0 or 1.0) some care must be taken to maintain this discontinuity as it moves through a computational grid. In the VOF method, special advection algorithms are used for this purpose.

Illustration of Free-Surface Tracking by VOF Technique

그림 6a는 이것의 적합 여부를 보여줍니다.  유체의 체적 점유율은 격자 요소마다 균일하게 분류되고 그 요소의 값을 나타냅니다.  자유 표면은 거의 모든 곳에서 선명하게 정의되어 있습니다.  스냅의 가장 낮은 가장 좁은 부분에만 선명한 유체 분포의 손실을 확인할 수 있습니다 (그림 5b).  이것은 예상대로입니다.  이 영역에서는 스냅의 두께는 3 가지 요소보다 작고, 따라서 부분 충전된 표면 요소에 연결된 작은 F 값이 어떤 중심 요소 (값 1.0)에 혼입하기 때문입니다.  계산 목적으로 이 것은 별로 문제가 되지 않습니다.  이 시뮬레이션 방법은 액체 내부의 요소는 순수한 액체 성분과 같은 방식으로 처리되기 때문입니다.

Figure 6a is an illustration of how well this works; the fluid volume fraction is colored uniformly in each grid element to represent its value in that element. The free surface is sharply defined nearly everywhere. Only in the lowest and narrowest part of the nappe is there any noticeable loss of a sharp fluid fraction distribution, Fig. 5b. This was expected because in this region the nappe is less than three elements in thickness and this allows some of the smaller F values associated with partially filled surface elements to mix in with the central element, which should have a value of 1.0. For computational purposes this doesn’t really matter because the simulation method treats elements interior to the liquid as though they are pure liquid elements.

그림 5b에 나타내는 영역에서는 실제 실험에서 난류 및 공기 혼입이 관찰된 것도 지적해 두지 않으면 안됩니다.  따라서 유체 점유율의 값을 1보다 조금 작게 보이는 것이 다소 현실적입니다.  이것은 전혀 의외라는 것은 없습니다.  난류와 공기 유입을 담당하는 풀의 액체 제트의 교점은 난류와 공기 유입의 원인이 되지만, 유체 점유율 값(fluid fraction values )은 액체 내부에 “유입” 원인이 되기 때문에 실수가 아닙니다.

It should also be pointed out that in the region shown in Fig. 5b turbulence and air entrainment are observed in actual experiments. Thus, the appearance of fluid fraction values a little less than unity is somewhat realistic. This is not entirely accidental because the intersection of jet of liquid with a pool, which is responsible for turbulence and air entrainment, is also responsible for the “entrainment” of fluid fraction values into the interior of the liquid.

Figure 5a (left): Fluid fraction values in elements, showing sharpness of surface definition. Figure 5b (right): Close up of fluid fraction values where the overflow hits bottom.

Summary

처음에는 컴퓨터가 단순히 반복적인 산술 연산을 수행하고, 복잡하고 시간에 의존적인 유체 역학 문제에 대해, 현실적인 시뮬레이션을 할 수 있다는 것이 다소 마술처럼 보일 수 있습니다. 이 논의의 목적은 비교적 기본적인 절차로 이를 수행하는 접근법을 설명하는 것입니다.

간단하지만 사소한 유압 흐름 예제를 사용하여 계산된 시뮬레이션이 물리적인 측정 결과와 매우 일치하는 세부 결과를 생성 할 수 있음이 입증되었습니다. VOF (Volume of Fluid) 기술을 기반으로 한 시뮬레이션은 정확하고, 매우 효율적인 것이 추가로 입증되었습니다.

분명하게, 수력 발전소에서 사용되는 것과 같은 복잡한 유압 구조와 관련된 실제 예는 유용한 결과를 얻기 위해서는 이 예에서 사용되는 몇 초 이상의 많은 계산 시간을 소비해야합니다. 그럼에도 불구하고 이러한 결과는 합리적인 시간 (사람과 컴퓨터 모두)에서 수행 될 수 있으며, 실제 실험에서는 거의 불가능한 세부 사항들을 포함합니다. 또한, 지오메트리, 유동 조건 또는 유체 특성의 거의 모든 종류의 변화의 영향을 쉽게 테스트 할 수있는 능력은 시뮬레이션을 사용하는 또 다른 강력한 이유입니다. 기술의 발전에 따라 hydraulic flow 시뮬레이션을 위한 현재 소프트웨어 및 하드웨어는 기존의 물리적 모델링에 비해 상당한 비용 이점을 제공합니다.

At first it may seem somewhat magical that a computer can simply perform repeated arithmetic operations on arrays of numbers and produce a realistic simulation of a complex, time-dependent, fluid dynamics problem. It was the purpose of this discussion to explain an approach that does this with relatively elementary procedures.

Using a simple, but non-trivial, hydraulic flow example it has been demonstrated that computational simulations can produce detailed results in excellent agreement with physical measurements. It has been further demonstrated that the simulation, which was based on the Volume of Fluid (VOF) technique, uses simple approximation methods that are both accurate and efficient.

Clearly, real world examples involving complex hydraulic structures such as those used in hydroelectric power stations, must consume more than the few seconds of computational time used in our example to obtain useful results. Nevertheless, those results can be generated in reasonable times (both man and computer) and contain a richness of detail rarely possible in physical experiments. For examples visit our water and environmental application pages. In addition, the ability to easily test the influence of just about any kind of change in geometry, flow condition or fluid property is another powerful reason to employ simulations. Current software and hardware for hydraulic flow simulations offer a significant cost advantage over traditional physical modeling.

Postscript

The first detailed description of the VOF method was in 1981 by C.W. Hirt and B.D. Nichols, J. Comp. Phys., 39, p.201. All simulations appearing in this article were performed with the commercial software package FLOW-3D developed by Flow Science, Inc. This program uses an enhanced variant of the VOF concept called TruVOF.

본 자료는 국내 사용자들의 편의를 위해 원문 번역을 해서 제공하기 때문에 일부 오역이 있을 수 있어서 원문과 함께 수록합니다. 자료를 이용하실 때 참고하시기 바랍니다.

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Fuel Tanks

Fuel Tanks

차량의 연료 탱크는 안전하게 연료를 저장하기 위한 필수적인 장치입니다. 또한 운행 중 차량에 들어오는 다양한 형태의 외력에 대해 일정하고도 적당한 연료 공급을 보장해 주는 장치입니다. 연료탱크는 차량 섀시 디자인과 바디 패널과 소형화의 목적을 위해 모양이 복잡 할 수 있습니다. 차량이 가속 할 때, 연료는 연료 레벨 게이지, 압력 및 전달 시스템에 문제를 유발할 수 있는 탱크 내에서 슬러싱하게 됩니다. 연료 충전은 특히 펌프류에서 중요한 부분인데, 탱크 안에서 증기 압축성은 충전 노즐의 초기 닫힘(Shutoff)을 일으키는 원인이 됩니다. 또한, 정전기는 연료 시스템 내에서 전위의 상승에 기인하여 연료 탱크 내로 이송 될 수 있습니다. FLOW-3D는 연료 시스템 설계 및 개선을 돕기 위해 이러한 복잡한 다상(multi-phase), 다물리(multi-physical), 과도(transient) 해석을 할 수 있는 도구 입니다.

Simulation of gas filling of a tank, modeling air entrainment.

Other analysis capabilities:

  • An electrostatic model that can capture a charge distribution with time
  • Fuel level indication using the Moving Objects model with 6 degrees of freedom to capture float variations
  • Fuel line pressurization
  • Optimal location of vents

Air Entrapment Defects (공기혼입, 기포결함)

Air Entrapment Defects (공기혼입, 기포결함)

FLOW-3D 내의 Air entrapment model은 충진 동안 금형내에서 혼입되는 공기의 양을 추정하기 위해 사용됩니다. 이 모델은 기본적인 물리적 메커니즘을 기반으로 하고 있으며 정확한 미세기포의 예측이 가능합니다. 고속으로 분사되는 용탕과 공기의 혼합을 예측하는 모델로 사용자는 공기 혼입 결함을 방지하기 위한 시뮬레이션을 수행할 수 있으며, 여러 시행 착오 과정을 줄일 수 있습니다. Air entrapment model에 대한 자세한 내용은 모델링 기능 섹션을 방문하십시오.

Water Municipal Sewer Design

Sewer Design

하수 유압, 특히 유압과 자유 표면 조건 둘다 표현할 수 있는 것은 FLOW-3D 의 매우 큰 강점입니다. 복합 하수 범람(CSO: CombinedHyundaioverflow)문제는 미국의 수많은 오래된 도시에서 발생하고 있는 복합적인 하수도 설계의 예로, 가압된 유압 제어 장치와 자유로운 노면 유압 제어 장치 간에 원활하게 전환할 수 있는 CFD접근 방식이 필요합니다. FLOW-3D는 유압 점프를 정확하게 포착할 뿐만 아니라 기포 포착 및 가압 효과를 동시에 해결합니다.

추가로 일반적인 응용 분야로는 municipal drop shaft vortex dynamics, air entrainment, air-driven bulking modeling, related wet tunnel modeling 등의 응용 분야가 있습니다.

Sewer Design Videos

FLOW-3D/MP Features List

FLOW-3D/MP Features

FLOW-3D/MP v6.1 은 FLOW-3D v11.1 솔버에 기초하여 물리 모델, 특징 및 그래픽 사용자 인터페이스가 동일합니다. FLOW-3D v11.1의 새로운 기능은 아래 파란색으로 표시되어 있으며 FLOW-3D/MP v6.1 에서 사용할 수 있습니다. 새로운 개발 기능에 대한 자세한 설명은 FLOW-3D v11.1에서 새로운 기능을 참조하십시오.

Meshing & Geometry

  • Structured finite difference/control volume meshes for fluid and thermal solutions
  • Finite element meshes in Cartesian and cylindrical coordinates for structural analysis
  • Multi-Block gridding with nested, linked, partially overlapping and conforming mesh blocks
  • Fractional areas/volumes (FAVOR™) for efficient & accurate geometry definition
  • Mesh quality checking
  • Basic Solids Modeler
  • Import CAD data
  • Import/export finite element meshes via Exodus-II file format
  • Grid & geometry independence
  • Cartesian or cylindrical coordinates
Flow Type Options
  • Internal, external & free-surface flows
  • 3D, 2D & 1D problems
  • Transient flows
  • Inviscid, viscous laminar & turbulent flows
  • Hybrid shallow water/3D flows
  • Non-inertial reference frame motion
  • Multiple scalar species
  • Two-phase flows
  • Heat transfer with phase change
  • Saturated & unsaturated porous media
Physical Modeling Options
  • Fluid structure interaction
  • Thermally-induced stresses
  • Plastic deformation of solids
  • Granular flow
  • Moisture drying
  • Solid solute dissolution
  • Sediment transport and scour
  • Cavitation (potential, passive tracking, active tracking)
  • Phase change (liquid-vapor, liquid-solid)
  • Surface tension
  • Thermocapillary effects
  • Wall adhesion
  • Wall roughness
  • Vapor & gas bubbles
  • Solidification & melting
  • Mass/momentum/energy sources
  • Shear, density & temperature-dependent viscosity
  • Thixotropic viscosity
  • Visco-elastic-plastic fluids
  • Elastic membranes & walls
  • Evaporation residue
  • Electro-mechanical effects
  • Dielectric phenomena
  • Electro-osmosis
  • Electrostatic particles
  • Joule heating
  • Air entrainment
  • Molecular & turbulent diffusion
  • Temperature-dependent material properties
  • Spray cooling
Flow Definition Options
  • General boundary conditions
    • Symmetry
    • Rigid and flexible walls
    • Continuative
    • Periodic
    • Specified pressure
    • Specified velocity
    • Outflow
    • Grid overlay
    • Hydrostatic pressure
    • Volume flow rate
    • Non-linear periodic and solitary surface waves
    • Rating curve and natural hydraulics
    • Wave absorbing layer
  • Restart from previous simulation
  • Continuation of a simulation
  • Overlay boundary conditions
  • Change mesh and modeling options
  • Change model parameters
Thermal Modeling Options
  • Natural convection
  • Forced convection
  • Conduction in fluid & solid
  • Fluid-solid heat transfer
  • Distributed energy sources/sinks in fluids and solids
  • Radiation
  • Viscous heating
  • Orthotropic thermal conductivity
  • Thermally-induced stresses
Turbulence Models
  • RNG model
  • Two-equation k-epsilon model
  • Two-equation k-omega model
  • Large eddy simulation
Metal Casting Models
  • Thermal stress & deformations
  • Iron solidification
  • Sand core blowing
  • Sand core drying
  • Permeable molds
  • Solidification & melting
  • Solidification shrinkage with interdendritic feeding
  • Micro & macro porosity
  • Binary alloy segregation
  • Thermal die cycling
  • Surface oxide defects
  • Cavitation potential
  • Lost-foam casting
  • Semi-solid material
  • Core gas generation
  • Back pressure & vents
  • Shot sleeves
  • PQ2 diagram
  • Squeeze pins
  • Filters
  • Air entrainment
  • Temperature-dependent material properties
  • Cooling channels
  • Fluid/wall contact time
Numerical Modeling Options
  • TruVOF Volume-of-Fluid (VOF) method for fluid interfaces
  • First and second order advection
  • Sharp and diffuse interface tracking
  • Implicit & explicit numerical methods
  • GMRES, point and line relaxation pressure solvers
  • User-defined variables, subroutines & output
  • Utilities for runtime interaction during execution
Fluid Modeling Options
  • One incompressible fluid – confined or with free surfaces
  • Two incompressible fluids – miscible or with sharp interfaces
  • Compressible fluid – subsonic, transonic, supersonic
  • Stratified fluid
  • Acoustic phenomena
  • Mass particles with variable density or diameter
Shallow Flow Models
  • General topography
  • Raster data interface
  • Subcomponent-specific surface roughness
  • Wind shear
  • Ground roughness effects
  • Laminar & turbulent flow
  • Sediment transport and scour
  • Surface tension
  • Heat transfer
  • Wetting & drying
Advanced Physical Models
  • General Moving Object model with 6 DOF–prescribed and fully-coupled motion
  • Rotating/spinning objects
  • Collision model
  • Tethered moving objects (springs, ropes, mooring lines)
  • Flexing membranes and walls
  • Porosity
  • Finite element based elastic-plastic deformation
  • Finite element based thermal stress evolution due to thermal changes in a solidifying fluid
  • Combusting solid components
Chemistry Models
  • Stiff equation solver for chemical rate equations
  • Stationary or advected species
Porous Media Models
  • Saturated and unsaturated flow
  • Variable porosity
  • Directional porosity
  • General flow losses (linear & quadratic)
  • Capillary pressure
  • Heat transfer in porous media
  • Van Genunchten model for unsaturated flow
Discrete Particle Models
  • Massless marker particles
  • Mass particles of variable size/mass
  • Linear & quadratic fluid-dynamic drag
  • Monte-Carlo diffusion
  • Particle-Fluid momentum coupling
  • Coefficient of restitution or sticky particles
  • Point or volumetric particle sources
  • Charged particles
  • Probe particles
Two-Phase & Two-Component Models
  • Liquid/liquid & gas/liquid interfaces
  • Variable density mixtures
  • Compressible fluid with a dispersed incompressible component
  • Drift flux
  • Two-component, vapor/non-condensable gases
  • Phase transformations for gas-liquid & liquid-solid
  • Adiabatic bubbles
  • Bubbles with phase change
  • Continuum fluid with discrete particles
  • Scalar transport
  • Homogeneous bubbles
  • Super-cooling
Coupling with Other Programs
  • Geometry input from Stereolithography (STL) files – binary or ASCII
  • Direct interfaces with EnSight®, FieldView® & Tecplot® visualization software
  • Finite element solution import/export via Exodus-II file format
  • PLOT3D output
  • Neutral file output
  • Extensive customization possibilities
  • Solid Properties Materials Database
Data Processing Options
  • State-of-the-art post-processing tool, FlowSight™
  • Batch post-processing
  • Report generation
  • Automatic or custom results analysis
  • High-quality OpenGL-based graphics
  • Color or B/W vector, contour, 3D surface & particle plots
  • Moving and stationary probes
  • Measurement baffles
  • Arbitrary sampling volumes
  • Force & moment output
  • Animation output
  • PostScript, JPEG & Bitmap output
  • Streamlines
  • Flow tracers
User Conveniences
  • Active simulation control (based on measurement of probes)
  • Mesh generators
  • Mesh quality checking
  • Tabular time-dependent input using external files
  • Automatic time-step control for accuracy & stability
  • Automatic convergence control
  • Mentor help to optimize efficiency
  • Change simulation parameters while solver runs
  • Launch and manage multiple simulations
  • Automatic simulation termination based on user-defined criteria
  • Run simulation on remote servers using remote solving
Multi-Processor Computing

FLOW-3D Features

The features in blue are newly-released in FLOW-3D v12.0.

Meshing & Geometry

  • Structured finite difference/control volume meshes for fluid and thermal solutions
  • Finite element meshes in Cartesian and cylindrical coordinates for structural analysis
  • Multi-Block gridding with nested, linked, partially overlapping and conforming mesh blocks
  • Conforming meshes extended to arbitrary shapes
  • Fractional areas/volumes (FAVOR™) for efficient & accurate geometry definition
  • Closing gaps in geometry
  • Mesh quality checking
  • Basic Solids Modeler
  • Import CAD data
  • Import/export finite element meshes via Exodus-II file format
  • Grid & geometry independence
  • Cartesian or cylindrical coordinates

Flow Type Options

  • Internal, external & free-surface flows
  • 3D, 2D & 1D problems
  • Transient flows
  • Inviscid, viscous laminar & turbulent flows
  • Hybrid shallow water/3D flows
  • Non-inertial reference frame motion
  • Multiple scalar species
  • Two-phase flows
  • Heat transfer with phase change
  • Saturated & unsaturated porous media

Physical Modeling Options

  • Fluid structure interaction
  • Thermally-induced stresses
  • Plastic deformation of solids
  • Granular flow
  • Moisture drying
  • Solid solute dissolution
  • Sediment transport and scour
  • Sludge settling
  • Cavitation (potential, passive tracking, active tracking)
  • Phase change (liquid-vapor, liquid-solid)
  • Surface tension
  • Thermocapillary effects
  • Wall adhesion
  • Wall roughness
  • Vapor & gas bubbles
  • Solidification & melting
  • Mass/momentum/energy sources
  • Shear, density & temperature-dependent viscosity
  • Thixotropic viscosity
  • Visco-elastic-plastic fluids
  • Elastic membranes & walls
  • Evaporation residue
  • Electro-mechanical effects
  • Dielectric phenomena
  • Electro-osmosis
  • Electrostatic particles
  • Joule heating
  • Air entrainment
  • Molecular & turbulent diffusion
  • Temperature-dependent material properties
  • Spray cooling

Flow Definition Options

  • General boundary conditions
    • Symmetry
    • Rigid and flexible walls
    • Continuative
    • Periodic
    • Specified pressure
    • Specified velocity
    • Outflow
    • Outflow pressure
    • Outflow boundaries with wave absorbing layers
    • Grid overlay
    • Hydrostatic pressure
    • Volume flow rate
    • Non-linear periodic and solitary surface waves
    • Rating curve and natural hydraulics
    • Wave absorbing layer
  • Restart from previous simulation
  • Continuation of a simulation
  • Overlay boundary conditions
  • Change mesh and modeling options
  • Change model parameters

Thermal Modeling Options

  • Natural convection
  • Forced convection
  • Conduction in fluid & solid
  • Fluid-solid heat transfer
  • Distributed energy sources/sinks in fluids and solids
  • Radiation
  • Viscous heating
  • Orthotropic thermal conductivity
  • Thermally-induced stresses

Numerical Modeling Options

  • TruVOF Volume-of-Fluid (VOF) method for fluid interfaces
  • Steady state accelerator for free-surface flows
  • First and second order advection
  • Sharp and diffuse interface tracking
  • Implicit & explicit numerical methods
  • Immersed boundary method
  • GMRES, point and line relaxation pressure solvers
  • User-defined variables, subroutines & output
  • Utilities for runtime interaction during execution

Fluid Modeling Options

  • One incompressible fluid – confined or with free surfaces
  • Two incompressible fluids – miscible or with sharp interfaces
  • Compressible fluid – subsonic, transonic, supersonic
  • Stratified fluid
  • Acoustic phenomena
  • Mass particles with variable density or diameter

Shallow Flow Models

  • General topography
  • Raster data interface
  • Subcomponent-specific surface roughness
  • Wind shear
  • Ground roughness effects
  • Manning’s roughness
  • Laminar & turbulent flow
  • Sediment transport and scour
  • Surface tension
  • Heat transfer
  • Wetting & drying

Turbulence Models

  • RNG model
  • Two-equation k-epsilon model
  • Two-equation k-omega model
  • Large eddy simulation

Advanced Physical Models

  • General Moving Object model with 6 DOF–prescribed and fully-coupled motion
  • Rotating/spinning objects
  • Collision model
  • Tethered moving objects (springs, ropes, breaking mooring lines)
  • Flexing membranes and walls
  • Porosity
  • Finite element based elastic-plastic deformation
  • Finite element based thermal stress evolution due to thermal changes in a solidifying fluid
  • Combusting solid components

Chemistry Models

  • Stiff equation solver for chemical rate equations
  • Stationary or advected species

Porous Media Models

  • Saturated and unsaturated flow
  • Variable porosity
  • Directional porosity
  • General flow losses (linear & quadratic)
  • Capillary pressure
  • Heat transfer in porous media
  • Van Genunchten model for unsaturated flow

Discrete Particle Models

  • Massless marker particles
  • Multi-species material particles of variable size and mass
  • Solid, fluid, gas particles
  • Void particles tracking collapsed void regions
  • Non-linear fluid-dynamic drag
  • Added mass effects
  • Monte-Carlo diffusion
  • Particle-fluid momentum coupling
  • Coefficient of restitution or sticky particles
  • Point or volumetric particle sources
  • Initial particle blocks
  • Heat transfer with fluid
  • Evaporation and condensation
  • Solidification and melting
  • Coulomb and dielectric forces
  • Probe particles

Two-Phase & Two-Component Models

  • Liquid/liquid & gas/liquid interfaces
  • Variable density mixtures
  • Compressible fluid with a dispersed incompressible component
  • Drift flux with dynamic droplet size
  • Two-component, vapor/non-condensable gases
  • Phase transformations for gas-liquid & liquid-solid
  • Adiabatic bubbles
  • Bubbles with phase change
  • Continuum fluid with discrete particles
  • Scalar transport
  • Homogeneous bubbles
  • Super-cooling
  • Two-field temperature

Coupling with Other Programs

  • Geometry input from Stereolithography (STL) files – binary or ASCII
  • Direct interfaces with EnSight®, FieldView® & Tecplot® visualization software
  • Finite element solution import/export via Exodus-II file format
  • PLOT3D output
  • Neutral file output
  • Extensive customization possibilities
  • Solid Properties Materials Database

Data Processing Options

  • State-of-the-art post-processing tool, FlowSight™
  • Batch post-processing
  • Report generation
  • Automatic or custom results analysis
  • High-quality OpenGL-based graphics
  • Color or B/W vector, contour, 3D surface & particle plots
  • Moving and stationary probes
  • Visualization of non-inertial reference frame motion
  • Measurement baffles
  • Arbitrary sampling volumes
  • Force & moment output
  • Animation output
  • PostScript, JPEG & Bitmap output
  • Streamlines
  • Flow tracers

User Conveniences

  • Active simulation control (based on measurement of probes)
  • Mesh generators
  • Mesh quality checking
  • Tabular time-dependent input using external files
  • Automatic time-step control for accuracy & stability
  • Automatic convergence control
  • Mentor help to optimize efficiency
  • Units on all variables
  • Custom units
  • Component transformations
  • Moving particle sources
  • Change simulation parameters while solver runs
  • Launch and manage multiple simulations
  • Automatic simulation termination based on user-defined criteria
  • Run simulation on remote servers using remote solving
  • Copy boundary conditions to other mesh blocks

Multi-Processor Computing

  • Shared memory computers
  • Distributed memory clusters

FlowSight

  • Particle visualization
  • Velocity vector fields
  • Streamlines & pathlines
  • Iso-surfaces
  • 2D, 3D and arbitrary clips
  • Volume render
  • Probe data
  • History data
  • Vortex cores
  • Link multiple results
  • Multiple data views
  • Non-inertial reference frame
  • Spline clip

항공/우주 분야

Aerospace

항공 우주 분야에서 연구하는 엔지니어를 위해 FLOW-3D는 정확한 액체/가스 인터페이스(자유 표면) 모델링, 열 솔루션을 사용하여 연료 안정성 확보, 극저온 온도 조절, PMD(Propellent management devices), 캐비테이션 및 전하 분포에 대한 귀중한 통찰력을 제공합니다. 위상 및 정전기 물리 모델을 사용합니다.

항공 우주 분야에서 FLOW-3D의 성공적인 사용을 보여주는 기술 문서로 이동하기

Aerospace Simulations

FLOW-3D 는 sloshing, 무중력 유체역학(zero gravity fluid dynamics), 다상유동(multi-phase fluids), 탄성 멤브레인(elastic membranes), 음속 및 초음속 상태에서 노즐(nozzles in subsonic and supersonic conditions), 유체구조의 상호 작용(fluid structure interactions) 등 항공분야에서 볼 수 있는 자연현상을 정확하게 표현하기 위해 자유표면 알고리즘을 고려하고 있습니다.

Bibliography

Models

  • Air Entrainment
  • Turbulence
  • Surface Tension
  • More Modeling Capabilities

Conference Proceedings

관련 기술자료

The Fastest Laptops for 2024

FLOW-3D 수치해석용 노트북 선택 가이드

2024년 가장 빠른 노트북 PCMag이 테스트하는 방법 소개 : 기사 원본 출처: https://www.pcmag.com/picks/the-fastest-laptops CFD를 수행하기 위한 노트북 선정 기준은 별도로 ...
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재사용 무인 우주비행체 고도화기술(ReUSV) 심포지엄 2023

재사용 무인 우주비행체 고도화기술(ReUSV) 심포지엄 안내

아래와 같이 재사용 무인 우주비행체 고도화기술(ReUSV) 특화연구센터 센터에서 금년 첫 회를 맞이하는 ReUSV 심포지엄을 개최한다고 합니다. 아래에 초대장 전문을 소개합니다 ...
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Experiments and analysis of dynamic characteristics of liquid sloshing in horizontal Cassini tank

수평 Cassini 탱크에서 액체 슬로싱의 동적 특성에 대한 실험 및 분석

Experiments and analysis of dynamic characteristics of liquid sloshing in horizontal Cassini tank Houlin Luo1, Wenjun Wu2, Bingchao Jiang3, Shouyi ...
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Fig. 1 Oscillation of a free surface due to the step reduction of gravity acceleration from kzi ≈ 9.81 to kz ≈ 0

Reorientation of Cryogenic Fluids Upon Step Reduction of Gravity

단계적 중력 감소 시 극저온 유체의 방향 전환 Malte Stief∗, Jens Gerstmann∗∗, and Michael E. Dreyer∗∗∗ZARM, Center of Applied Space ...
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Figure 1: Drawing of the experimental set-up, Figure 2: Experimental tank with locations of temperature sensors

실험 및 수치 시뮬레이션에 기반한 극저온 추진제 탱크 가압 분석

Analyses of Cryogenic Propellant Tank Pressurization based upon Experiments and Numerical SimulationsCarina Ludwig? and Michael Dreyer***DLR - German Aerospace Center, ...
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Temperature contours& velocity vectors just after spray off

NASA Perspectives on Cryo H2 Storage

Cryo H2 저장에 대한 NASA의 관점 DOE Hydrogen Storage WorkshopMarriott Crystal GatewayArlington, VAFebruary 15, 2011David J. ChatoNASA Glenn Research CenterMichael ...
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Fig. 6 LH2 isotherms at 1020 s.

액체-수소 탱크를 위한 결합된 열역학-유체-역학 솔루션

Coupled thermodynamic-fluid-dynamic solution for a liquid-hydrogen tank G. D. Grayson Published Online:23 May 2012 https://doi.org/10.2514/3.26706 Read Now Tools Share Introduction ...
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Prediction of the ullage gas thermal stratification in a NASP vehicle propellant tank experimental simulation using FLOW-3D

Prediction of the ullage gas thermal stratification in a NASP vehicle propellant tank experimental simulation using FLOW-3D

As part of the National Aero-Space Plane (NASP) project, the multi-dimensional effects of gravitational force, initial tank pressure, initial ullage ...
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Fig. 2 Modeling of bubble point test apparatus (left) and computational grid (righ

Flow-3d를 이용한 표면장력 탱크용메시스크린모델링

Modeling of Mesh Screen for Use in Surface TensionTankUsing Flow-3d Software Hyuntak Kim․ Sang Hyuk Lim․Hosung Yoon․Jeong-Bae Park*․Sejin Kwon† ABSTRACT ...
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Fig. 1. A typical Boiling Water Reactor (BWR) and selected segment of study for simulation

Understanding dry-out mechanism in rod bundles of boiling water reactor

끓는 물 원자로 봉 다발의 건조 메커니즘 이해 Liril D.SilviaDinesh K.ChandrakercSumanaGhoshaArup KDasbaDepartment of Chemical Engineering, Indian Institute of Technology, Roorkee, ...
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코팅분야

Coating

FLOW-3D는 산업계 및 학계의 코팅 연구원들이 기계 설계 연구, Display 공정개발 및 최적화를 위해 사용했습니다. 미크론 규모의 코팅 물리학을 이해하는 것은 코팅 유체 유변학의 복잡한 특성과 기판 및 Die와의 상호 작용으로 인해 어려울 수 있습니다.

FLOW-3D 는 비용이 많이 드는 실제 실험에 의존하지 않고, 코팅 프로세스를 분석할 수 있는 편리한 방법을 제공합니다. FLOW-3D는 표면 장력, Wall 접착, 용액 운반, 밀도 기반 흐름 및 상 변화의 영향을 이해하기위한 고밀도 모델링을 제공합니다.

Forward roll coating 공정에 대한 FLOW-3D의 시뮬레이션은 high capillary number수로 인한ribbing 결함을 포착합니다. 이 모델은 backing rollers가 400 micron nip을 통해 유체를 끌어 당길 때 표면 장력과 점도의 효과를 통합합니다. 시뮬레이션은 Lee, et al [1]의 연구를 기반으로합니다.

ribbing 시작에 대한 정확한 예측을 통해 엔지니어는 결함을 방지하기 위한 공정 매개 변수를 식별하고 수정할 수 있습니다.

Reference

[1] Lee, J. H., Han, S. K., Lee, J. S., Jung, H. W., & Hyun, J. C. (2010). Ribbing instability in rigid and deformable forward roll coating flows. Korea Australia Rheology Journal, 22(1), 75-80.

Bibliography

Models

  • Air Entrainment
  • Porous Media
  • Surface Tension
  • More Modeling Capabilities

Conference Proceedings

관련 기술자료

Schematic view of the experimental set-up

Short-time numerical simulation of ultrasonically assisted electrochemical removal of strontium from water

September 2023 DOI:10.30955/gnc2023.00436 Conference: 18th International Conference on Environmental Science and Technology CEST2023, 30 August to 2 September 2023, Athens, ...
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stencil

Experimental and numerical investigation of the squeegee process during stencil printing of thick adhesive sealings

두꺼운 접착제 실링의 스텐실 인쇄 중 스퀴지 프로세스에 대한 실험적 및 수치적 조사 Fabiano I. Indicatti, Bo Cheng, Michael Rädler, ...
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The Fastest Laptops for 2024

FLOW-3D 수치해석용 노트북 선택 가이드

2024년 가장 빠른 노트북 PCMag이 테스트하는 방법 소개 : 기사 원본 출처: https://www.pcmag.com/picks/the-fastest-laptops CFD를 수행하기 위한 노트북 선정 기준은 별도로 ...
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Overflow water film

Numerical Simulation Study on Characteristics of Airtight Water Film with Flow Deflectors

유동 편향기가 있는 밀폐수막의 특성에 관한 수치해석 연구 Zhang Weikang, Gong Hongwei Abstract In practical use, there is shrinkage in ...
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Coating_image

Template-Free Scalable Fabrication of Linearly Periodic Microstructures by Controlling Ribbing Defects Phenomenon in Forward Roll Coating for Multifunctional Applications

다기능 응용을 위한 Forward Roll Coating 공정의 리브 경함 형상 제어를 통한 선형 주기적 미세구조물의 템플릿 프리 제작 Md Didarul ...
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Ultrafast laser ablation of tungsten carbide: Quantification of threshold range and interpretation of feature transition

Ultrafast laser ablation of tungsten carbide: Quantification of threshold range and interpretation of feature transition

텅스텐 카바이드의 초고속 레이저 제거: 임계값 범위의 정량화 및 특징 전환 해석 Xiong Zhang, Chunjin Wang, Benny C. F. Cheung, Gaoyang Mi, Chunming WangFirst ...
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Coupled CFD-DEM simulation of interfacial fluid–particle interaction during binder jet 3D printing

Coupled CFD-DEM simulation of interfacial fluid–particle interaction during binder jet 3D printing

바인더 제트 3D 프린팅 중 계면 유체-입자 상호 작용에 대한 CFD-DEM 결합 시뮬레이션 Joshua J. Wagner, C. Fred Higgs III https://doi.org/10.1016/j.cma.2024.116747 Abstract The coupled ...
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Fig. 8. Pressure distribution during the infiltration of preform with the 50 ¯m particles and 20 % starches: (a) 25 % filled, (b) 57 % filled, and (c) 99 % filled.

Experimental study and numerical simulation of infiltration of AlSi12 alloys into Si porous preforms with micro-computed tomography inspection characteristics

마이크로 컴퓨터 단층 촬영 검사 특성을 가진 Si 다공성 프리폼에 AlSi12 합금의 침투에 대한 실험적 연구 및 수치 시뮬레이션 Ruizhe ...
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Liquid-solid co-printing of multi-material 3D fluidic devices via material jetting

재료 분사를 통한 다중 재료 3D 유체 장치의 액체-고체 공동 인쇄

Liquid-solid co-printing of multi-material 3D fluidic devices via material jetting BrandonHayes,Travis Hainsworth, Robert MacCurdyUniversity of Colorado Boulder, Department of Mechanical ...
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Fig. 2: Scheme of the LED photo-crosslinking and 3D-printing section of the microfluidic/3D-printing device. The droplet train is transferred from the chip microchannel into a microtubing in a straight section with nearly identical inner channel and inner microtubing diameter. Further downstream, the microtubing passes an LED-section for fast photo cross-linking to generate the microgels. This section is contained in an aluminum encasing to avoid premature crosslinking of polymer precursor in upstream channel sections by stray light. Subsequently, the microtubing is integrated into a 3D-printhead, where the microgels are jammed into a filament that is directly 3D-printed into the scaffold.

On-Chip Fabrication and In-Flow 3D-Printing of Cell-Laden Microgel Constructs: From Chip to Scaffold Materials in One Integral Process

세포가 함유된 마이크로겔의 온칩 제작 및 인-플로우 3D 프린팅구성:하나의 통합 프로세스에서 칩에서 스캐폴드 재료까지 Vollmer, Gültekin Tamgüney, Aldo BoccaciniSubmitted date: ...
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수처리 분야

Municipal

FLOW-3D는아래 시설물과 같은 도시의 수처리 시설물 설계와 분석에 매우 활발하게 사용되고 있습니다:

  • Mixing, settling, and contact tanks
  • Control structures like weirs, gates, ramps, and orifices
  • Combined sewer (CSO) and stormwater sewer (SSO) overflow facilities
  • Pump and lift stations
  • Treatment plant headworks
  • Filtration systems and passive earth and stone filters
  • Baffle and wall placement
  • Hydraulic efficiency and short-circuiting

Vortex simulation municipal application with FLOW-3D

Vortex formation simulated with FLOW-3D

FLOW-3D는 자유표면, 가압(pressurized), 미임계(sub-critical)와 초임계(super-critical) 흐름조건 등을 전환하는 자유표면과 제한된 흐름패턴 모두와 균일한 모델 상태에 최적화되어 있습니다. 추가 물리 패키지를 포함하여 대부분의 복잡한 상황을 모델링 FLOW-3D에 포함되어 있습니다 :

  • Flow bulking due to air entrainment
  • Air bubble escape and air pocket pressurization
  • Drifting and settling particulate matter and the effect on the flow pattern of sediment accumulation
  • Chemical reactions
  • Moving gates and paddles
  • Fast-spinning bladed objects, pumps, and impellers
  • Dissolving and eroding solids
  • Granular flow (slurries)

적용사례

정수장 : DAF SYSTEMS

  • 용존공기부상법 (DAF Systems: Dissolved Air Floation )
    • 가압상태에서 과포화된 물을 감압시키면, 미세기포가 발생되어 상승하면서 수중의콜로이드물질과 충돌/부착되는 원리를 이용하여 수중의 부유물질을 제거하는 수처리 방법
  • Two Phase(Water+Air)/Drift Flux을 이용 기포에 의한 지내의 유동양상을 파악
  • 해석을 통한 기존 구조물의 문제점 파악하여 개선
  • 정수장_DAF_시스템

정수장 : 펌프장 해석

정수장_펌프장_모델해석결과

정수장_펌프장_모델

정수장 : 분말활성탄접촉조

  • v분말활성탄 접촉조 : 유입구의 구조, 수로의 장폭비, 도류벽구조에 의한 변화 -> 최적형상 도출
  • v해석을 통해 각종 Index(Morill Index, Modal Index 등) 분석

분말활성탄접촉초

정수장 : 응집제의 확산

  • G, 혼화지 구조에 따른 turn over time, 지내 속도 분포, 체류시간(t), 등 분석
  • 완속 혼화기, 급속혼화기에서 응집제의 혼화 및 분산 효과 파악

고속분사기_응집제확산

정수장 : 분배수로 유량분배

  • 분배수로의 기능 : 응집지 및 침전비 별로 균일하게 물을 분배함
  • 분배수로의 구조에 따른 응집지 유입수의 유량분배 해석
  • 구조별 유량분배 문제점 파악 및 개선방안 제시
  • 구조별 유량분배를 정량화하여 정수장 효율 향상에 기여함.

분배수로_유량분배

정수장 : 응집지 속도구배(du/dy) 검증

  • 응집기내부의 유동양상 및 속도구배(G)를 규명하여 최적의 운영조건 도출

응집지속도구배

정수장 : 여과지 역세척

  • Strainer를 통한 역세척수 유입 시 유동양상 해석 실시
  • 역세척 시 압력분포의 균일성, 사수부, 침전수의 월류여부 파악
  • 여과 및 역세척의 문제점 파악하여 효율향상 극대화

여과지_역세척

정수장 : 정수지 실험–해석 비교

  • 정수지의 기능 : 염소를 균일하게 혼화
  • 정수지 유동양상 및 염소 농도, 체류시간 해석으로 CT 값 예측 및 문제점 개선
  • 실험과의 비교를 통하여 정확성 확보
  • 기존 정수지의 효율향상 및 최적 정수지 형태 제안
  • 정수지는 분말활성탄접촉조와 기능과 형상 유사

정수장_정수지해석

정수장 : 침전지– 대기온도, 일사량 등 외부조건 고려

  • 대기온도, 일사량 등 외부조건을 고려한 침전지 유동해석 실시
  • 침전지 내부의 밀도류 발생 원인 분석 및 Floc의 운동양상, 제거효율을 해석
  • 실험과의 비교를 통하여 정확성 확보

정수장_침전지_외부조건고려해석

정수장 : 취수탑 선택취수

  • v취수탑 : 상수도·관개·수력발전용 물을 저수지나 하천으로부터 끌어들이기 위한 구조물
  • v취수탑의 선택취수 문제 해석 사례
  • v취수탑 개도 조건에 따른 유출수온도, 조류 유입, 수심별 유입량 등을 예측

취수탑해석

 

하수처리장 : 침전지

  • 침전지 : 하수와 슬러지의 분리 및 배출 기능
    • 해석목적
    • 2차 침전지에서 유량 분배 문제점 파악
    • 2차 침전지에서 유입부 개선안 도출
    • 2차 침전지내의 슬러지 배출 개선안 도출

하수처리장_침전지_모델 하수처리장_침전지_모델_해석결과

 

하수처리장 : 침전지 유량분배 및 유속

  • 구조물의 형상, 유량에 따른 침전지 유동해석
  • 각 지별 유량 분배 균등 여부 파악
  • 슬러지의 재부상(scouring) 여부 예측 및 방지 방안 검토
  • 월류형식, 유입부의 위치 및 규격, 등 설계 요소를 조절하여 균등 분배 유도
    • 하수처리장_침전지_유량분배_해석결과

하수처리장 : 침전지 월류부 해석

  • 침전지 월류부 유동양상 파악
  • 침전지 형상, 월류부 형상에 따른 유속분포 비교
  • 사수부 파악 및 단락류 최소화를 위한 월류부 형상 결정
  • 슬러지의 월류부 개선을 통한 효율 향상

하수처리장_침전지_월류부해석

하수처리장 : 침전지 침전효율

  • 구조물의 형상별, 처리 유량별 침전효율, 사수부 평가
  • 균일한 유속분포에 의한 침전효율 향상
  • 침전지 형상, 유입부 위치, 등을 변경하여 효율 비교
  • 체류시간 검토를 통한 효율 비교
  • 슬러지 침전형태의 비교

하수처리장_침전지_침전효율

하수처리장 : 무산소조

  • 하수처리장 : 무산소조
  • 하수 및 반송슬러지의 혼합, 임펠러의 회전에 의한 혼합양상 해석 실시
  • 유입수 및 내부반송수의 유속분포, 혼합농도 평가
  • 단락류 발생정도 파악 및 완전교반 유도에 유리한 설계방안 검토
  • 내부반송량, 반송슬러지 유입관의 위치 개선으로 효율 향상

하수처리장_무산소조

하수처리장 : 담체의 부상

  • 설계 요소에 따른 담체의 분포 및 흐름 양상 예측
  • 해석 설계 요소 : 조의 형상, 펌프의 용량 및 위치, 내부 배플의 형상

하수처리장_담체의부상

하수처리장 : 호기조 (Aerator)

  • 호기조내 체류시간 분석
  • 기포의 분포, 조내 위치별 D.O 예측
  • 단락류 발생 정도 및 사수부 파악
  • 폭기량 및 폭기 방식에 따른 내부 유동양상을 통한 효율예측

하수처리장_호기조

하수처리장 : 호기조 (D.O 예측)

  • 용존산소량 (Dissolved Oxygen) : 물 속에 녹아 있는 산소량 è 수온이 높아지거나 오염되면 DO감소
  • 조내 산기관에 의해 오염수를 전체적으로 용존산소량 증가 목적 è 조내 사수부, 체류시간 분석
  • 산기관에 의한 공기 방울의 분포 및 D.O 분포를 수류의 흐름을 고려하여 예측
  • 호기조의 구조 및 산기관의 배치에 따른 효율 분석

하수처리장_호기조_용존산소량

하수처리장 : 막분리조

  • 막분리조내의 수류순환 유동해석 실시
  • Air 유입과 Membrane내의 수류순환 유동 검토
  • 사수부 최소화를 위한 구조 변경 (유입부 방식, 위치 및 산기관 위치, 등)
  • 처리 유량에 따른 내부 효율 변화 검토 – 운영조건 제시

하수처리장_막분리조

 

하수처리장 : SBR/PSBR 호기공정

  • 송풍기 작동시 원수와 슬러지의 혼합양상 분석
  • 수중포기기와 송풍기의 작동에 의해 조 내의 슬러지 혼합 활성화 여부 판단 : 수중포기기와 송풍기의 적절한 위치 및 회전수 조절에 의해 개선안 제시 가능

하수처리장_SBR_호기공정

하수처리장 : SBR/PSBR 배출공정

  • 조 내의 유출게이트 OPEN하여 조 내의 상등수 배출양상 분석
  • 바닥의 슬러지 유출없이 배출가능 여부 해석을 통하여 파악 슬러지가 배출되지 않도록 내의 형상 및 문제점 개서안 제시

하수처리장_SBR_배출공정