[2021] ๋‚˜๊ฐ„ ๋ผ์•ผ ๋ฆฌ์  ์‹œ ์•Œ๋ฃจ์— ๋ถˆ๋กœ ๊ต๋Ÿ‰์˜ ๊ต๊ฐ์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ์—ฐ๊ตฌ

[2021] ๋‚˜๊ฐ„ ๋ผ์•ผ ๋ฆฌ์  ์‹œ ์•Œ๋ฃจ์— ๋ถˆ๋กœ ๊ต๋Ÿ‰์˜ ๊ต๊ฐ์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ์—ฐ๊ตฌ

The effect of bridge piers on local scouring at Alue Buloh bridge Nagan Raya Regency

๋ณธ ๋ณด๊ณ ์„œ๋Š” ์ธ๋„๋„ค์‹œ์•„ ํ…Œ์šฐ์ฟ  ์šฐ๋งˆ๋ฅด ๋Œ€ํ•™๊ต(Teuku Umar University) ์—ฐ๊ตฌํŒ€์ด 2021๋…„ ๋ฐœํ‘œํ•œ ๋…ผ๋ฌธ์„ ์š”์•ฝํ•œ ๊ฒƒ์ด๋‹ค. ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ์ฃผ์š” ์›์ธ ์ค‘ ํ•˜๋‚˜์ธ ‘๊ต๊ฐ ์ฃผ์œ„์˜ ๊ตญ๋ถ€ ์„ธ๊ตด(Local Scouring)’ ํ˜„์ƒ์„ ์ธ๋„๋„ค์‹œ์•„ ๋‚˜๊ฐ„ ๋ผ์•ผ ์ง€์—ญ์˜ ์•Œ๋ฃจ์— ๋ถˆ๋กœ ๊ต๋Ÿ‰์„ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ๋‹ค์–‘ํ•œ ๊ณตํ•™์  ์˜ˆ์ธก ๋ชจ๋ธ ์ค‘ ์‹ค์ œ ํ˜„์žฅ ์ƒํ™ฉ์„ ๊ฐ€์žฅ ์ž˜ ๋ฐ˜์˜ํ•˜๋Š” ๋ชจ๋ธ์„ ๊ทœ๋ช…ํ–ˆ๋‹ค.

Metadata and Keywords

Figure 1 Location of Study In Alue Buloh
Figure 1 Location of Study In Alue Buloh

Paper Metadata

  • Industry: ํ† ๋ชฉ ๊ณตํ•™, ๊ต๋Ÿ‰ ๋ฐ ์ˆ˜๊ณต๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„, ํ•˜์ฒœ ๋ฐฉ์žฌ ๋ฐ ์œ ์ง€๊ด€๋ฆฌ
  • Research Goal: ์•Œ๋ฃจ์— ๋ถˆ๋กœ ๊ต๋Ÿ‰ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์‹ค์ œ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ธก์ •ํ•˜๊ณ , Froehlich, Lacey, CSU ๋“ฑ ๊ฒฝํ—˜์  ์ˆ˜์‹ ๋ชจ๋ธ์˜ ์ •ํ™•๋„ ๋น„๊ต ๊ฒ€์ฆ
  • Methodology: ํ˜„์žฅ ์‹ค์ธก(๊ต๊ฐ ์ œ์›, ์œ ์†, ํ•˜์ƒ ํ‘œ๊ณ ), ์ž…๋„ ๋ถ„์„($D_{50}$, $D_{95}$), ์ˆ˜๋ฌธ ํ•ด์„(Nakayasu ํ•ฉ์„ฑ๋‹จ์œ„์œ ๋Ÿ‰๋„), ๊ฒฝํ—˜์  ์„ธ๊ตด ์˜ˆ์ธก ๋ชจ๋ธ ๋ถ„์„
  • Key Results: ์‹ค์ œ ์„ธ๊ตด ๊นŠ์ด(์•ฝ 1.68m)์™€ Froehlich ๋ชจ๋ธ์˜ ์˜ˆ์ธก๊ฐ’(1.68m)์ด ๊ฑฐ์˜ ์ผ์น˜ํ•จ์„ ํ™•์ธ, Lacey ๋ชจ๋ธ์€ ๊ณผ๋Œ€ ์‚ฐ์ • ๊ฒฝํ–ฅ ๋ณด์ž„
  • Author: Cut Suciatina Silvia, Muhammad Ikhsan, Azwanda (Teuku Umar University, Indonesia)

Keywords

  • ๊ตญ๋ถ€ ์„ธ๊ตด (Local Scour)
  • ์„ธ๊ตด ๊นŠ์ด (Scour Depth)
  • Froehlich ๋ชจ๋ธ
  • CSU (Colorado State University) ๋ชจ๋ธ
  • ํ•˜์ฒœ ๊ตฌ์กฐ๋ฌผ ์•ˆ์ •์„ฑ (Bridge Stability)

Executive Summary

Research Background

๊ฐ•์„ ๊ฐ€๋กœ์ง€๋ฅด๋Š” ๊ต๋Ÿ‰์˜ ๊ธฐ๋‘ฅ(๊ต๊ฐ)์€ ๋ฌผ์˜ ํ๋ฆ„์„ ๋ฐฉํ•ดํ•˜์—ฌ ๊ทธ ์ฃผ๋ณ€์˜ ํ™๊ณผ ๋ชจ๋ž˜๋ฅผ ๊นŽ์•„๋‚ด๋Š” ‘์„ธ๊ตด’ ํ˜„์ƒ์„ ์ผ์œผํ‚ต๋‹ˆ๋‹ค. ์ด ์„ธ๊ตด์ด ์‹ฌํ•ด์ง€๋ฉด ๊ต๊ฐ์˜ ๊ธฐ์ดˆ๊ฐ€ ๋“œ๋Ÿฌ๋‚˜ ๊ต๋Ÿ‰์ด ๋ฌด๋„ˆ์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ธ๋„๋„ค์‹œ์•„ ์•Œ๋ฃจ์— ๋ถˆ๋กœ ๊ต๋Ÿ‰์—์„œ๋„ ์ด ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ์–ด, ์—ฐ๊ตฌํŒ€์€ ๊ณผํ•™์ ์ธ ๋ถ„์„์„ ํ†ตํ•ด ๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ฑ์„ ์ง„๋‹จํ•˜๊ณ  ๊ฐ€์žฅ ์ •ํ™•ํ•œ ์˜ˆ์ธก ๋ฐฉ๋ฒ•์„ ์ฐพ๊ณ ์ž ํ–ˆ์Šต๋‹ˆ๋‹ค.

Method Snapshot

  • ํ˜„์žฅ ์กฐ์‚ฌ: ์•Œ๋ฃจ์— ๋ถˆ๋กœ ๊ต๋Ÿ‰์˜ ๊ต๊ฐ ํ˜•ํƒœ(๋ผ์šด๋“œ ๋…ธ์ฆˆ ํ˜•์ƒ, ํญ 4m), ํ•˜์ฒœ์˜ ์ˆ˜์‹ฌ(3.06m), ์œ ์†(1.36m/s) ๋“ฑ์„ ์ง์ ‘ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ํ•˜์ƒ ์žฌ๋ฃŒ ๋ถ„์„: ๊ฐ•๋ฐ”๋‹ฅ ๋ชจ๋ž˜์˜ ํฌ๊ธฐ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ํ‰๊ท  ์ž…๊ฒฝ($D_{50}$)์€ 0.91mm๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.
  • ํ™์ˆ˜๋Ÿ‰ ์‚ฐ์ •: ํ–ฅํ›„ 50๋…„ ๋ฐ 100๋…„ ๋นˆ๋„์˜ ์ตœ๋Œ€ ํ™์ˆ˜๋Ÿ‰์„ ๊ณ„์‚ฐํ•˜์—ฌ ์„ธ๊ตด ์œ„ํ—˜๋„๋ฅผ ํ‰๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ๋ชจ๋ธ ๋น„๊ต: ์„ธ๊ณ„์ ์œผ๋กœ ๋„๋ฆฌ ์“ฐ์ด๋Š” ์„ธ๊ตด ์˜ˆ์ธก ์ˆ˜์‹๋“ค(Froehlich, CSU, Lacey)์— ์‹ค์ธก ๋ฐ์ดํ„ฐ๋ฅผ ๋Œ€์ž…ํ•ด ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ–ˆ์Šต๋‹ˆ๋‹ค.

Key Findings

  • ์‹ค์ œ ์„ธ๊ตด ํ˜„ํ™ฉ: ํ˜„์žฅ ์‹ค์ธก ๊ฒฐ๊ณผ, ํŠน์ • ๊ต๊ฐ ๋ถ€๊ทผ์—์„œ ์•ฝ 1.65m~1.68m ๊นŠ์ด์˜ ์„ธ๊ตด ๊ตฌ๋ฉ์ด๊ฐ€ ํ˜•์„ฑ๋˜์–ด ์žˆ์Œ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ๊ฐ€์žฅ ์ •ํ™•ํ•œ ๋ชจ๋ธ (Froehlich): Froehlich ์ˆ˜์‹์„ ์‚ฌ์šฉํ•ด ๊ณ„์‚ฐํ•œ ๊ฒฐ๊ณผ 1.68m๊ฐ€ ๋‚˜์™€, ์‹ค์ œ ํ˜„์žฅ ์ธก์ •๊ฐ’๊ณผ ๊ฑฐ์˜ ์™„๋ฒฝํ•˜๊ฒŒ ์ผ์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ํ•ด๋‹น ํ•˜์ฒœ ์กฐ๊ฑด์—์„œ ์ด ๋ชจ๋ธ์ด ๋งค์šฐ ์‹ ๋ขฐํ•  ๋งŒํ•จ์„ ๋œปํ•ฉ๋‹ˆ๋‹ค.
  • ๋ชจ๋ธ๋ณ„ ์ฐจ์ด:
    • CSU ๋ชจ๋ธ: 2.43m๋กœ ์˜ˆ์ธกํ•˜์—ฌ ์‹ค์ œ๋ณด๋‹ค ๋‹ค์†Œ ๊นŠ๊ฒŒ ๊ณ„์‚ฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
    • Lacey ๋ชจ๋ธ: 4.47m๋ผ๋Š” ๋งค์šฐ ํฐ ๊ฐ’์„ ๋‚ด๋†“์•„ ํ˜„์žฅ ์ƒํ™ฉ๊ณผ๋Š” ๋‹ค์†Œ ๊ฑฐ๋ฆฌ๊ฐ€ ๋ฉ€์—ˆ์Šต๋‹ˆ๋‹ค.
  • ์œ„ํ—˜์„ฑ ์ง„๋‹จ: ํ˜„์žฌ ๋ฐœ์ƒํ•œ ์„ธ๊ตด์€ ๊ต๊ฐ ๊ตฌ์กฐ๋ฌผ์˜ ์•ˆ์ •์„ฑ์„ ์ €ํ•ดํ•  ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ค€์ด๋ฉฐ, ํ™์ˆ˜ ์‹œ ๋” ๊นŠ์–ด์งˆ ์œ„ํ—˜์ด ํฝ๋‹ˆ๋‹ค.

Industrial Applications

๊ต๋Ÿ‰ ๊ธฐ์ดˆ ๋ณดํ˜ธ๊ณต(์‚ฌ์„ ๋ณดํ˜ธ๊ณต ๋“ฑ) ์„ค๊ณ„ ๊ฐ€์ด๋“œ๋ผ์ธ, ๋…ธํ›„ ๊ต๋Ÿ‰์˜ ์„ธ๊ตด ์œ„ํ—˜๋„ ์ •๊ธฐ ์ ๊ฒ€ ์ง€ํ‘œ, ์ง€์—ญ ์ •๋ถ€์˜ ํ•˜์ฒœ ์‹œ์„ค๋ฌผ ์œ ์ง€๊ด€๋ฆฌ ์ •์ฑ… ์ˆ˜๋ฆฝ ๊ธฐ์ดˆ ์ž๋ฃŒ.

Limitations and Cautions

๋ณธ ์—ฐ๊ตฌ๋Š” ํŠน์ • ํ•˜์ฒœ(Krueng Ineng)๊ณผ ๊ต๊ฐ ํ˜•ํƒœ์— ํ•œ์ •๋œ ๊ฒฐ๊ณผ์ด๋ฏ€๋กœ, ๋‹ค๋ฅธ ํ•˜์ฒœ ํ™˜๊ฒฝ์— ์ ์šฉํ•  ๋•Œ๋Š” ํ•˜์ƒ ์žฌ๋ฃŒ์˜ ์‘์ง‘๋ ฅ๊ณผ ์œ ์† ํŠน์„ฑ์„ ์žฌ๊ฒ€ํ† ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.


Technical Deep Dive: The Mechanics of Scouring

1. ์™€๋ฅ˜์™€ ์„ธ๊ตด์˜ ํ˜•์„ฑ

๊ต๊ฐ์ด ๋ฌผ์˜ ํ๋ฆ„์„ ๋ง‰์œผ๋ฉด ๋ฌผ์€ ์•„๋ž˜๋กœ ๊ตฝ์–ด์น˜๋Š” ‘ํ•˜ํ–ฅ๋ฅ˜(Downflow)’์™€ ๋ง๋ฐœ๊ตฝ ๋ชจ์–‘์˜ ‘๋ง๋ฐœ๊ตฝ ์™€๋ฅ˜(Horseshoe Vortex)’๋ฅผ ๋งŒ๋“ญ๋‹ˆ๋‹ค. ์ด ๊ฐ•๋ ฅํ•œ ์†Œ์šฉ๋Œ์ด๊ฐ€ ๊ต๊ฐ ๋ฐ”๋‹ฅ์˜ ํ™์„ ํŒŒ๋‚ด์–ด ์„ธ๊ตด ๊ตฌ๋ฉ์ด๋ฅผ ํ˜•์„ฑํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

2. ๋ชจ๋ธ ์„ ํƒ์˜ ์ค‘์š”์„ฑ

์„ธ๊ตด ์˜ˆ์ธก ์ˆ˜์‹์€ ์ „ ์„ธ๊ณ„ ๋‹ค์–‘ํ•œ ํ•˜์ฒœ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋งŒ๋“ค์–ด์กŒ๊ธฐ ๋•Œ๋ฌธ์—, ํŠน์ • ์ง€์—ญ์˜ ํ•˜์ฒœ ๊ฒฝ์‚ฌ, ์œ ์†, ๋ชจ๋ž˜ ํฌ๊ธฐ์— ๋”ฐ๋ผ ์ •ํ™•๋„๊ฐ€ ๋‹ฌ๋ผ์ง‘๋‹ˆ๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์ธ๋„๋„ค์‹œ์•„์˜ ์ค‘์†Œ ํ•˜์ฒœ ํ™˜๊ฒฝ์—์„œ๋Š” Froehlich ๋ชจ๋ธ์ด ๊ฐ€์žฅ ํ•ฉ๋ฆฌ์ ์ธ ์„ค๊ณ„ ์ง€ํ‘œ๊ฐ€ ๋  ์ˆ˜ ์žˆ์Œ์„ ์ž…์ฆํ–ˆ์Šต๋‹ˆ๋‹ค.


Technical Q&A

Q: ์„ธ๊ตด์ด ์™œ ๊ทธ๋ ‡๊ฒŒ ์œ„ํ—˜ํ•œ๊ฐ€์š”?

๊ต๊ฐ์€ ๋•…์† ๊นŠ์ด ๋ฐ•ํžŒ ๊ธฐ์ดˆ์— ์˜ํ•ด ์ง€ํƒฑ๋ฉ๋‹ˆ๋‹ค. ์„ธ๊ตด๋กœ ์ธํ•ด ๊ธฐ์ดˆ ์ฃผ๋ณ€์˜ ํ™์ด ์‚ฌ๋ผ์ง€๋ฉด ๊ต๊ฐ์„ ์žก์•„์ฃผ๋Š” ํž˜์ด ์•ฝํ•ด์ ธ, ํ™์ˆ˜ ๋•Œ ๋ฌผ์˜ ์••๋ ฅ์„ ๊ฒฌ๋””์ง€ ๋ชปํ•˜๊ณ  ๊ต๊ฐ์ด ๊ธฐ์šธ๊ฑฐ๋‚˜ ๋ถ€๋Ÿฌ์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Q: ์™œ ๋ชจ๋ธ๋งˆ๋‹ค ๊ฒฐ๊ณผ๊ฐ’์ด ๊ทธ๋ ‡๊ฒŒ ๋‹ค๋ฅธ๊ฐ€์š”?

๊ฐ ์ˆ˜์‹์€ ๊ฐœ๋ฐœ๋œ ๋ฐฐ๊ฒฝ์ด ๋‹ค๋ฆ…๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด Lacey ์ˆ˜์‹์€ ์ฃผ๋กœ ์•ˆ์ •๋œ ์ˆ˜๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜์—ฌ ์„ธ๊ตด์„ ํฌ๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ๊ณ , Froehlich ์ˆ˜์‹์€ ์‹ค์ œ ๊ต๋Ÿ‰ ์‹คํŒจ ์‚ฌ๋ก€๋“ค์„ ๋งŽ์ด ๋ฐ˜์˜ํ•˜์—ฌ ํ˜„์žฅ ์ ์‘๋ ฅ์ด ๋†’์Šต๋‹ˆ๋‹ค.

Q: ๊ต๊ฐ์˜ ๋ชจ์–‘๋„ ์„ธ๊ตด์— ์˜ํ–ฅ์„ ์ฃผ๋‚˜์š”?

๋งค์šฐ ํฝ๋‹ˆ๋‹ค. ์‚ฌ๊ฐํ˜• ๊ต๊ฐ๋ณด๋‹ค๋Š” ์•ž๋ถ€๋ถ„์ด ๋‘ฅ๊ทผ ๋ชจ์–‘(Round nose)์ด๋‚˜ ๋พฐ์กฑํ•œ ๋ชจ์–‘์ด ๋ฌผ์˜ ์ €ํ•ญ์„ ์ค„์—ฌ ์†Œ์šฉ๋Œ์ด๋ฅผ ์•ฝํ•˜๊ฒŒ ๋งŒ๋“ญ๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ ๋Œ€์ƒ ๊ต๋Ÿ‰์€ ๋‹คํ–‰ํžˆ ๋ผ์šด๋“œ ๋…ธ์ฆˆ ํ˜•ํƒœ๋ฅผ ๋ ๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

Q: ์„ธ๊ตด์„ ๋ง‰์œผ๋ ค๋ฉด ์–ด๋–ค ์กฐ์น˜๋ฅผ ํ•ด์•ผ ํ•˜๋‚˜์š”?

๊ต๊ฐ ์ฃผ๋ณ€์— ํฐ ๋ฐ”์œ„๋‚˜ ๋ธ”๋ก(์‚ฌ์„)์„ ๊น”์•„ ๋ฐ”๋‹ฅ์ด ํŒŒ์ด์ง€ ์•Š๊ฒŒ ๋ณดํ˜ธํ•˜๊ฑฐ๋‚˜, ๊ต๊ฐ ์•ž์— ํ๋ฆ„์„ ์œ ๋„ํ•˜๋Š” ๊ตฌ์กฐ๋ฌผ์„ ์„ค์น˜ํ•˜์—ฌ ์†Œ์šฉ๋Œ์ด์˜ ํž˜์„ ๋ถ„์‚ฐ์‹œ์ผœ์•ผ ํ•ฉ๋‹ˆ๋‹ค.

Conclusion

์‹œํ‹ฐ ์‹ค๋น„์•„ ๋ฐ•์‚ฌํŒ€์˜ ์ด๋ฒˆ ์—ฐ๊ตฌ๋Š” ์•Œ๋ฃจ์— ๋ถˆ๋กœ ๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ ์œ„ํ˜‘ํ•˜๋Š” ์„ธ๊ตด ํ˜„์ƒ์„ ์ •๋ฐ€ ๋ถ„์„ํ•˜์—ฌ, ๊ณตํ•™์  ์˜ˆ์ธก ๋ชจ๋ธ์˜ ์‹ค๋ฌด์  ์ ์šฉ ํ•œ๊ณ„๋ฅผ ๋ช…ํ™•ํžˆ ๊ทœ๋ช…ํ–ˆ๋‹ค. ํŠนํžˆ ๋‹ค์–‘ํ•œ ์ˆ˜์‹ ์ค‘ Froehlich ๋ชจ๋ธ์ด ํ˜„์žฅ ์‹ค์ธก์น˜์™€ ๊ฐ€์žฅ ์ผ์น˜ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๋ฐํ˜€๋ƒ„์œผ๋กœ์จ, ์ง€์—ญ ์ •๋ถ€๊ฐ€ ๊ต๋Ÿ‰ ๋ณด๊ฐ• ๊ณ„ํš์„ ์„ธ์šธ ๋•Œ ์–ด๋–ค ๋ฐ์ดํ„ฐ๋ฅผ ๋ฏฟ๊ณ  ์‚ฌ์šฉํ•ด์•ผ ํ• ์ง€์— ๋Œ€ํ•œ ํ™•๊ณ ํ•œ ๊ทผ๊ฑฐ๋ฅผ ์ œ๊ณตํ–ˆ๋‹ค. ์ด ๋ฐ์ดํ„ฐ๋Š” ํ–ฅํ›„ ๋ฐœ์ƒํ•  ํ™์ˆ˜๋กœ๋ถ€ํ„ฐ ์ฃผ๋ฏผ๋“ค์˜ ์ƒ๋ช…์„ ์ธ ๊ต๋Ÿ‰์„ ์•ˆ์ „ํ•˜๊ฒŒ ์ง€์ผœ๋‚ด๋Š” ๋ฐ ํ•ต์‹ฌ์ ์ธ ์—ญํ• ์„ ํ•  ๊ฒƒ์ด๋‹ค.



์ถœ์ฒ˜ ์ •๋ณด (Source Information)

Citation: Silvia, C. S., Ikhsan, M., & Azwanda. (2021). The Effect of Bridge Piers on Local Scouring at Alue Buloh Bridge Nagan Raya Regency . Journal of Civil Engineering Forum, 7(1), 37-46. https://doi.org/10.22146/jcef.57719

DOI/Link: https://doi.org/10.22146/jcef.57719

Technical Review Resources for Engineers:

โ–ถ ์›๋ฌธ ๋…ผ๋ฌธ ๋ณด๊ธฐ (PDF)
โ–ถ ๊ธฐ์ˆ  ๊ฒ€ํ†  ๋ฐ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ ๋ฌธ์˜

This material is for informational purposes only. Unauthorized commercial use is prohibited.

Copyright ยฉ 2026 STI C&D. All rights reserved.

Figure 2 The Flowchart of Research Implementation
Figure 2 The Flowchart of Research Implementation
Figure 3 Cross-section of The Riverbed Elevation Data River Station
Figure 3 Cross-section of The Riverbed Elevation Data River Station
Figure 4 Sediment Grain Size Analysis
Figure 4 Sediment Grain Size Analysis
Figure 5: Scour depth contours for experimental run CR4.

๊ต๋Ÿ‰ ์„ธ๊ตด ์˜ˆ์ธก ์ •ํ™•๋„ ํ–ฅ์ƒ: ์‹ค์ œ ํ˜„์žฅ ์ธก์ •์„ ์‹คํ—˜์‹ค ์ถ•์†Œ ๋ชจ๋ธ๋กœ ์žฌํ˜„ํ•˜๋Š” ๋ฐฉ๋ฒ•

์ด ๊ธฐ์ˆ  ์š”์•ฝ์€ Seung Oh Lee์™€ Seung Ho Hong์ด 2018๋…„ Advances in Civil Engineering์— ๋ฐœํ‘œํ•œ ๋…ผ๋ฌธ “Reproducing Field Measurements Using Scaled-Down Hydraulic Model Studies in a Laboratory”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, STI C&D์˜ ๊ธฐ์ˆ  ์ „๋ฌธ๊ฐ€๋ฅผ ์œ„ํ•ด ๋ถ„์„ ๋ฐ ์š”์•ฝ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

ํ‚ค์›Œ๋“œ

  • Primary Keyword:ย ๊ต๋Ÿ‰ ์„ธ๊ตด ์˜ˆ์ธก
  • Secondary Keywords:ย ์ˆ˜๋ฆฌ ๋ชจ๋ธ๋ง, ์ถ•์†Œ ๋ชจํ˜• ์‹คํ—˜, CFD ๊ฒ€์ฆ, ํ•˜์ฒœ ๊ณตํ•™, ๊ธฐ์ดˆ ์„ธ๊ตด

Executive Summary

  • ๋„์ „ ๊ณผ์ œ:ย ์ด์ƒ์ ์ธ ์‹คํ—˜์‹ค ์กฐ๊ฑด์—์„œ ๊ฐœ๋ฐœ๋œ ๊ธฐ์กด์˜ ๊ต๋Ÿ‰ ์„ธ๊ตด ์˜ˆ์ธก ๊ณต์‹์€ ๋ณต์žกํ•œ ์‹ค์ œ ํ˜„์žฅ ์กฐ๊ฑด๊ณผ ๋‹ฌ๋ผ ๋ถ€์ •ํ™•ํ•œ ๊ฒฐ๊ณผ๋ฅผ ์ดˆ๋ž˜ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค.
  • ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•:ย ๋ฏธ๊ตญ ์กฐ์ง€์•„ ์ฃผ์˜ ์‹ค์ œ ๊ต๋Ÿ‰ 3๊ณณ์˜ ํ•˜์ฒœ ์ง€ํ˜•๊ณผ ๊ต๊ฐ ๊ตฌ์กฐ๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ์ถ•์†Œํ•œ 3์ฐจ์› ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์„ ์ œ์ž‘ํ•˜๊ณ , ์‹ค์ œ ํ™์ˆ˜ ์‹œ ์ธก์ •๋œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ์™€ ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ํ•ต์‹ฌ ๋ฐœ๊ฒฌ:ย ํ”„๋ฃจ๋“œ ์ˆ˜(Froude number) ์ƒ์‚ฌ์„ฑ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ถ•์†Œ ๋ชจ๋ธ์€ ์‹ค์ œ ํ˜„์žฅ์˜ ์œ ๋™ ํŠน์„ฑ๊ณผ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌํ˜„ํ•˜์—ฌ, ์ œ์•ˆ๋œ ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•์˜ ํƒ€๋‹น์„ฑ์„ ์ž…์ฆํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ํ•ต์‹ฌ ๊ฒฐ๋ก :ย ๋ณธ ์—ฐ๊ตฌ๋Š” ์‹ค์ œ ํ˜„์žฅ์˜ ๊ต๋Ÿ‰ ์„ธ๊ตด์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์‹ ๋ขฐ์„ฑ ๋†’์€ ์‹คํ—˜์‹ค ๋ชจ๋ธ๋ง ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜๋ฉฐ, ์ด๋Š” CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒ€์ฆ ๋ฐ ์‚ฌํšŒ ๊ธฐ๋ฐ˜ ์‹œ์„ค์˜ ์•ˆ์ „์„ฑ ํ–ฅ์ƒ์— ์ค‘์š”ํ•œ ๊ธฐ์ค€์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

๋„์ „ ๊ณผ์ œ: ์™œ ์ด ์—ฐ๊ตฌ๊ฐ€ CFD ์ „๋ฌธ๊ฐ€์—๊ฒŒ ์ค‘์š”ํ•œ๊ฐ€?

๊ต๋Ÿ‰ ๋ถ•๊ดด๋Š” ๋ง‰๋Œ€ํ•œ ์ธ๋ช… ๋ฐ ์žฌ์‚ฐ ํ”ผํ•ด๋ฅผ ์•ผ๊ธฐํ•˜๋Š” ์‹ฌ๊ฐํ•œ ์žฌํ•ด์ž…๋‹ˆ๋‹ค. ์ง€๋‚œ 30๋…„๊ฐ„ ๋ฏธ๊ตญ์—์„œ ๋ฐœ์ƒํ•œ 1,000๊ฑด์˜ ๊ต๋Ÿ‰ ๋ถ•๊ดด ์ค‘ 60%๋Š” ๊ต๋Ÿ‰ ๊ธฐ์ดˆ ์„ธ๊ตด๊ณผ ๊ฐ™์€ ์ˆ˜๋ฆฌํ•™์  ๋ฌธ์ œ์—์„œ ๋น„๋กฏ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋•Œ๋ฌธ์— ๊ต๋Ÿ‰ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๊ฒƒ์€ ๊ตฌ์กฐ๋ฌผ ์•ˆ์ „ ์„ค๊ณ„์˜ ํ•ต์‹ฌ ์š”์†Œ์ž…๋‹ˆ๋‹ค.

ํ•˜์ง€๋งŒ ๊ธฐ์กด์˜ ์˜ˆ์ธก ๊ณต์‹ ๋Œ€๋ถ€๋ถ„์€ ๋‹จ์ผ ์›ํ˜• ๊ต๊ฐ์ด๋‚˜ ๋‹จ์ˆœํ•œ ์ง์„  ์ˆ˜๋กœ์™€ ๊ฐ™์€ ์ด์ƒ์ ์ธ ์‹คํ—˜์‹ค ์กฐ๊ฑด์—์„œ ๋„์ถœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์‹ค์ œ ํ˜„์žฅ์˜ ๊ต๋Ÿ‰์€ ๋ณต์žกํ•œ ํ˜•์ƒ์˜ ๊ต๊ฐ, ๋ถˆ๊ทœ์น™ํ•œ ํ•˜์ฒœ ์ง€ํ˜•, ๋‹ค์–‘ํ•œ ์œ ์† ๋ถ„ํฌ ๋“ฑ ์˜ˆ์ธก์„ ์–ด๋ ต๊ฒŒ ๋งŒ๋“œ๋Š” ๋ณ€์ˆ˜๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ด์ƒ๊ณผ ํ˜„์‹ค์˜ ๊ดด๋ฆฌ๋Š” ๊ธฐ์กด ๊ณต์‹์ด ์‹ค์ œ ํ˜„์žฅ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ œ๋Œ€๋กœ ์˜ˆ์ธกํ•˜์ง€ ๋ชปํ•˜๋Š” ์ฃผ๋œ ์›์ธ์ด ๋˜์–ด ์™”์Šต๋‹ˆ๋‹ค. CFD ์ „๋ฌธ๊ฐ€๋“ค ์—ญ์‹œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ์˜ ์ •ํ™•์„ฑ์„ ๊ฒ€์ฆํ•  ์‹ ๋ขฐ๋„ ๋†’์€ ์‹ค์ œ ๋ฐ์ดํ„ฐ ํ™•๋ณด์— ์–ด๋ ค์›€์„ ๊ฒช๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋ฐ”๋กœ ์ด ๊ฐ„๊ทน์„ ๋ฉ”์šฐ๊ธฐ ์œ„ํ•ด ์‹œ์ž‘๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์—ฐ๊ตฌ ์ ‘๊ทผ๋ฒ•: ๋ฐฉ๋ฒ•๋ก  ๋ถ„์„

์—ฐ๊ตฌํŒ€์€ ์‹ค์ œ ํ˜„์ƒ๊ณผ ์‹คํ—˜์‹ค ๋ชจ๋ธ ๊ฐ„์˜ ๊ฒฉ์ฐจ๋ฅผ ํ•ด์†Œํ•˜๊ธฐ ์œ„ํ•ด ๋ฏธ๊ตญ ์กฐ์ง€์•„ ์ฃผ์— ์œ„์น˜ํ•œ 3๊ฐœ์˜ ์‹ค์ œ ๊ต๋Ÿ‰(ํ”Œ๋ฆฐํŠธ ๊ฐ•, ์ฑ„ํ„ฐํ›„์น˜ ๊ฐ•, ์˜คํฌ๋ฉ€์ง€ ๊ฐ•)์„ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.

  1. ํ˜„์žฅ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘:ย ๋จผ์ €, ๊ฐ ๊ต๋Ÿ‰ ํ˜„์žฅ์— ์Œํ–ฅ์ธก์‹ฌ๊ธฐ(fathometer)์™€ ์Œํ–ฅ ๋„ํ”Œ๋Ÿฌ ์œ ์† ํ”„๋กœํŒŒ์ผ๋Ÿฌ(ADCP) ๋“ฑ ์ตœ์‹  ์žฅ๋น„๋ฅผ ์„ค์น˜ํ•˜์—ฌ ์‹ค์ œ ํ™์ˆ˜ ๋ฐœ์ƒ ์‹œ ํ•˜์ƒ ๋ณ€ํ™”, ์œ ์† ๋ถ„ํฌ, ์ˆ˜์œ„ ๋“ฑ ์ƒ์„ธํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์žฅ๊ธฐ๊ฐ„์— ๊ฑธ์ณ ์ˆ˜์ง‘ํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. ์ถ•์†Œ ๋ชจ๋ธ ์„ค๊ณ„ ๋ฐ ์ œ์ž‘:ย ์ˆ˜์ง‘๋œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‹คํ—˜์‹ค์— 3์ฐจ์› ๋ฌผ๋ฆฌ์  ์ถ•์†Œ ๋ชจ๋ธ์„ ์ œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค. ์‹ค์ œ ํ•˜์ฒœ์˜ ์ง€ํ˜•(bathymetry)์€ GPS ์ขŒํ‘œ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•ฉํŒ ์ฃผํ˜•์„ ์ œ์ž‘ํ•˜์—ฌ ์ •๋ฐ€ํ•˜๊ฒŒ ์žฌํ˜„ํ–ˆ์œผ๋ฉฐ, ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์—ญ์‹œ ์‹ค์ œ ํ˜•์ƒ๊ณผ ๋™์ผํ•˜๊ฒŒ ์ถ•์†Œ ์ œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค.
  3. ์ˆ˜๋ฆฌ ์ƒ์‚ฌ์„ฑ ์ ์šฉ:ย ๋ชจ๋ธ์˜ ๋™์  ๊ฑฐ๋™์„ ์‹ค์ œ์™€ ์ผ์น˜์‹œํ‚ค๊ธฐ ์œ„ํ•ด ํ”„๋ฃจ๋“œ ์ˆ˜(Froude number) ์ƒ์‚ฌ ๋ฒ•์น™์„ ์ ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์‹คํ—˜์‹ค ๋ชจ๋ธ์˜ ์œ ๋Ÿ‰, ์ˆ˜์‹ฌ, ์œ ์†์„ ์‹ค์ œ ํ˜„์žฅ์˜ ํ™์ˆ˜ ์กฐ๊ฑด๊ณผ ๋™์—ญํ•™์ ์œผ๋กœ ๋™์ผํ•˜๊ฒŒ ์„ค์ •ํ–ˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ์‹ค์ œ ํ˜„์žฅ์˜ ์ด๋™์ƒ ์„ธ๊ตด(live-bed scour)์„ ์‹คํ—˜์‹ค์—์„œ ์žฌํ˜„ํ•˜๊ธฐ ์–ด๋ ค์šด ์ ์„ ๊ณ ๋ คํ•˜์—ฌ, ์ž„๊ณ„ ์œ ์† ์ดํ•˜์˜ ์กฐ๊ฑด(clear-water scour)์—์„œ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ฐพ๋Š” ‘๋Œ€๋ฆฌ ๊ธฐ๋ฒ•(surrogate method)’์„ ์‚ฌ์šฉํ•˜์—ฌ ํ‡ด์ ๋ฌผ ํฌ๊ธฐ๋ฅผ ์‹ ์ค‘ํ•˜๊ฒŒ ์„ ์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ์ •๋ฐ€ํ•œ ์ ‘๊ทผ๋ฒ•์„ ํ†ตํ•ด ์—ฐ๊ตฌํŒ€์€ ํ†ต์ œ๋œ ์‹คํ—˜์‹ค ํ™˜๊ฒฝ์—์„œ ์‹ค์ œ ํ˜„์žฅ์˜ ๋ณต์žกํ•œ ์ˆ˜๋ฆฌ ํ˜„์ƒ์„ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌํ˜„ํ•˜๊ณ ์ž ํ–ˆ์Šต๋‹ˆ๋‹ค.

Figure 1: Dimensions of the bridge bent in Flint River at Bainbridge, GA (prototype dimensions in m).
Figure 1: Dimensions of the bridge bent in Flint River at Bainbridge, GA (prototype dimensions in m).

ํ•ต์‹ฌ ๋ฐœ๊ฒฌ: ์ฃผ์š” ๊ฒฐ๊ณผ ๋ฐ ๋ฐ์ดํ„ฐ

๊ฒฐ๊ณผ 1: ํ˜„์žฅ ์œ ๋™ ๋ฐ ํ•˜์ƒ ๋ณ€๋™์˜ ์„ฑ๊ณต์ ์ธ ์žฌํ˜„

์‹คํ—˜์‹ค ๋ชจ๋ธ์€ ์‹ค์ œ ํ˜„์žฅ์—์„œ ์ธก์ •ํ•œ ๋ฐ์ดํ„ฐ์™€ ๋งค์šฐ ๋†’์€ ์ผ์น˜๋„๋ฅผ ๋ณด์˜€์Šต๋‹ˆ๋‹ค.

  • ์œ ์† ๋ถ„ํฌ:ย ๊ทธ๋ฆผ 6์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด, ์‹คํ—˜์‹ค์—์„œ ์ธก์ •ํ•œ ์œ ์† ๋ถ„ํฌ๋Š” 1994๋…„ ์—ด๋Œ€์„ฑ ํญํ’ ์•Œ๋ฒ ๋ฅดํ†  ๋‹น์‹œ ํ”Œ๋ฆฐํŠธ ๊ฐ•์—์„œ USGS๊ฐ€ ์ธก์ •ํ•œ ์‹ค์ œ ํ˜„์žฅ ์œ ์† ๋ถ„ํฌ์™€ ์ „๋ฐ˜์ ์œผ๋กœ ์ž˜ ์ผ์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ํ”„๋ฃจ๋“œ ์ˆ˜ ์ƒ์‚ฌ์„ฑ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๋ชจ๋ธ๋ง์ด ํ˜„์žฅ์˜ ์œ ๋™ ํŠน์„ฑ์„ ์ •ํ™•ํ•˜๊ฒŒ ์žฌํ˜„ํ–ˆ์Œ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.
  • ์„ธ๊ตด ๊นŠ์ด ๋ฐ ์ง€ํ˜•:ย ๊ทธ๋ฆผ 7์€ ์‹คํ—˜์‹ค ๋ชจ๋ธ์˜ ์„ธ๊ตด ํ›„ ํ•˜์ƒ ๋‹จ๋ฉด๊ณผ ์‹ค์ œ ํ™์ˆ˜ ์‹œ ์ธก๋Ÿ‰๋œ ํ˜„์žฅ ๋‹จ๋ฉด์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ์ž…๋‹ˆ๋‹ค. ํŠนํžˆ ์ฑ„ํ„ฐํ›„์น˜ ๊ฐ• ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ, ๊ต๊ฐ ์ „๋ฉด๋ถ€์—์„œ ๋ฐœ์ƒํ•œ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” ํ˜„์žฅ ์ธก์ •์น˜์™€ ๋‹จ 2%์˜ ์ƒ๋Œ€ ์˜ค์ฐจ๋ฅผ ๋ณด์ด๋ฉฐ ๋งค์šฐ ์ •ํ™•ํ•˜๊ฒŒ ์žฌํ˜„๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์ œ์•ˆ๋œ ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•์ด ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ๋งค์šฐ ํšจ๊ณผ์ ์ž„์„ ์ž…์ฆํ•ฉ๋‹ˆ๋‹ค.

์™ผ์ชฝ(Figure 6): ์‹คํ—˜์‹ค(์ )๊ณผ ํ˜„์žฅ(์„ )์˜ ์œ ์† ๋ถ„ํฌ ๋น„๊ต. ์˜ค๋ฅธ์ชฝ(Figure 7): ์‹คํ—˜์‹ค(์ )๊ณผ ํ˜„์žฅ(์„ )์˜ ํ•˜์ƒ ๋‹จ๋ฉด ๋น„๊ต. ๋‘ ๊ฒฐ๊ณผ ๋ชจ๋‘ ๋†’์€ ์ผ์น˜๋„๋ฅผ ๋ณด์—ฌ์คŒ.

๊ฒฐ๊ณผ 2: ์ด์ƒ์  ๋ชจ๋ธ๊ณผ ๋‹ค๋ฅธ ๋ณต์žกํ•œ ์„ธ๊ตด ํŒจํ„ด ๋ฐœ๊ฒฌ

๊ธฐ์กด์˜ ์ด์ƒ์ ์ธ ์‹คํ—˜์—์„œ๋Š” ์ตœ๋Œ€ ์„ธ๊ตด์ด ์ฃผ๋กœ ๊ต๊ฐ์˜ ๋งจ ์•ž๋ถ€๋ถ„(nose)์—์„œ ๋ฐœ์ƒํ•œ๋‹ค๊ณ  ์•Œ๋ ค์ ธ ์žˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋ฒˆ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค๋ฅธ ๊ฒฐ๊ณผ๊ฐ€ ๊ด€์ฐฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

  • ๊ทธ๋ฆผ 5๋Š” ์ฑ„ํ„ฐํ›„์น˜ ๊ฐ• ๋ชจ๋ธ(CR4)์˜ ์„ธ๊ตด ๋“ฑ๊ณ ์„ ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ตœ๋Œ€ ์„ธ๊ตด์€ ๊ต๊ฐ ๊ธฐ๋‘ฅ์˜ ์ „๋ฉด์ด ์•„๋‹Œ, ์„ธ ๋ฒˆ์งธ ๊ธฐ๋‘ฅ์˜ ํ•˜๋ฅ˜ ์ธก๋ฉด์—์„œ ๋ฐœ์ƒํ–ˆ์œผ๋ฉฐ ๊ธฐ์ดˆ๊ฐ€ ๊ฑฐ์˜ ๋…ธ์ถœ๋  ์ •๋„์˜€์Šต๋‹ˆ๋‹ค.
  • ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ๋ณต์žกํ•œ ๊ต๊ฐ ๋ฒคํŠธ(pier bent) ํ˜•์ƒ, ํ•˜์ฒœ ์ง€ํ˜•, ๊ทธ๋ฆฌ๊ณ  ํ๋ฆ„์˜ ๋ฐ›์Œ๊ฐ(angle of attack)์ด ๋ณตํ•ฉ์ ์œผ๋กœ ์ž‘์šฉํ•˜์—ฌ ๋…ํŠนํ•œ ์œ ๋™ ํŒจํ„ด์„ ๋งŒ๋“ค์–ด๋‚ด๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์‹ค์ œ ๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ฑ์„ ํ‰๊ฐ€ํ•  ๋•Œ, ๋‹จ์ˆœํžˆ ๊ต๊ฐ ์ „๋ฉด๋ถ€๋งŒ ํ™•์ธํ•  ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๊ตฌ์กฐ๋ฌผ ์ฃผ๋ณ€์˜ ์ „์ฒด์ ์ธ ์„ธ๊ตด ํŒจํ„ด์„ ๊ณ ๋ คํ•ด์•ผ ํ•จ์„ ์‹œ์‚ฌํ•˜๋Š” ์ค‘์š”ํ•œ ๋ฐœ๊ฒฌ์ž…๋‹ˆ๋‹ค.

๊ทธ๋ฆผ 5: ์‹คํ—˜(CR4)์—์„œ ์ธก์ •๋œ ์„ธ๊ตด ๋“ฑ๊ณ ์„ . ์ตœ๋Œ€ ์„ธ๊ตด ์ง€์ (๊ฐ€์žฅ ์–ด๋‘์šด ๋ถ€๋ถ„)์ด ๊ต๊ฐ ์ „๋ฉด์ด ์•„๋‹Œ ํ•˜๋ฅ˜ ์ธก๋ฉด์— ์œ„์น˜ํ•จ์„ ๋ณด์—ฌ์คŒ.

R&D ๋ฐ ์šด์˜์„ ์œ„ํ•œ ์‹ค์งˆ์  ์‹œ์‚ฌ์ 

  • ์ˆ˜๋ฆฌ ์—”์ง€๋‹ˆ์–ด:ย ์ด ์—ฐ๊ตฌ๋Š” ํ”„๋ฃจ๋“œ ์ˆ˜ ์ƒ์‚ฌ์„ฑ, ์ƒ๋Œ€ ์ˆ˜์‹ฌ(yโ‚/b)์˜ ๊ธฐํ•˜ํ•™์  ์ƒ์‚ฌ์„ฑ, ๊ทธ๋ฆฌ๊ณ  ํ‡ด์ ๋ฌผ ํฌ๊ธฐ(b/dโ‚…โ‚€)์˜ ์‹ ์ค‘ํ•œ ์„ ํƒ์„ ๊ฒฐํ•ฉํ•œ ๋ชจ๋ธ๋ง ์ „๋žต์ด ๋ณต์žกํ•œ ํ˜„์žฅ์˜ ์„ธ๊ตด ์˜ˆ์ธก์— ๋งค์šฐ ์œ ํšจํ•จ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ด๋Š” ์‹ ๋ขฐ์„ฑ ๋†’์€ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ๋ง ๋˜๋Š” ๊ณ ์ •๋ฐ€ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ธฐ ์œ„ํ•œ ๊ตฌ์ฒด์ ์ธ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.
  • ์•ˆ์ „ ๋ฐ ํ’ˆ์งˆ ๊ด€๋ฆฌํŒ€:ย ์ตœ๋Œ€ ์„ธ๊ตด์ด ๊ต๊ฐ ์ „๋ฉด์ด ์•„๋‹Œ ํ•˜๋ฅ˜ ์ธก๋ฉด์—์„œ๋„ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๋ฐœ๊ฒฌ(๊ทธ๋ฆผ 5)์€ ๊ต๋Ÿ‰ ์•ˆ์ „ ์ ๊ฒ€ ํ”„๋กœํ† ์ฝœ์ด ๊ตฌ์กฐ๋ฌผ ์ฃผ๋ณ€ ์ „์ฒด๋ฅผ ๋ฉด๋ฐ€ํžˆ ์กฐ์‚ฌํ•˜๋„๋ก ํ™•์žฅ๋˜์–ด์•ผ ํ•จ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ์กด์˜ ์ ๊ฒ€ ๋ฐฉ์‹์œผ๋กœ๋Š” ์œ„ํ—˜์„ ๋†“์น  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์„ค๊ณ„ ์—”์ง€๋‹ˆ์–ด:ย ๋ณธ ์—ฐ๊ตฌ๋Š” HEC-18๊ณผ ๊ฐ™์€ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” ๊ฒฝํ—˜์  ์„ธ๊ตด ๊ณต์‹์ด ์‹ค์ œ ํ˜„์žฅ์—์„œ ๊ณผ๋Œ€ ๋˜๋Š” ๊ณผ์†Œ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Œ์„ ๋ฐ์ดํ„ฐ(๊ทธ๋ฆผ 8, 9, 10)๋กœ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ด๋Š” ์ค‘์š”ํ•œ ์‚ฌํšŒ ๊ธฐ๋ฐ˜ ์‹œ์„ค ์„ค๊ณ„ ์‹œ, ๊ฒฝํ—˜์  ๊ณต์‹์—๋งŒ ์˜์กดํ•˜๊ธฐ๋ณด๋‹ค ํ˜„์žฅ ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•œ ์ •๋ฐ€ ๋ฌผ๋ฆฌ ๋ชจ๋ธ๋ง์ด๋‚˜ ๊ณ ์ถฉ์‹ค๋„ ์ˆ˜์น˜ ํ•ด์„์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒƒ์ด ํ•„์ˆ˜์ ์ž„์„ ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค.

๋…ผ๋ฌธ ์ƒ์„ธ ์ •๋ณด


Reproducing Field Measurements Using Scaled-Down Hydraulic Model Studies in a Laboratory

1. ๊ฐœ์š”:

  • ์ œ๋ชฉ:ย Reproducing Field Measurements Using Scaled-Down Hydraulic Model Studies in a Laboratory
  • ์ €์ž:ย Seung Oh Lee, Seung Ho Hong
  • ๋ฐœํ‘œ ์—ฐ๋„:ย 2018
  • ๋ฐœํ‘œ ํ•™์ˆ ์ง€/ํ•™ํšŒ:ย Advances in Civil Engineering
  • ํ‚ค์›Œ๋“œ:ย Bridge scour, hydraulic modeling, scaled-down model studies, field measurements, laboratory experiments

2. ์ดˆ๋ก:

์ด์ƒ์ ์ธ ์‹คํ—˜์‹ค ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ํ˜„์žฅ ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ๊ฒฉ์ฐจ๋ฅผ ์ค„์ด๊ธฐ ์œ„ํ•œ ์‹คํ—˜์‹ค ๋ชจ๋ธ ์—ฐ๊ตฌ์˜ ๊ฐ€์น˜์— ๋Œ€ํ•ด์„œ๋Š” ๊ฑฐ์˜ ๋…ธ๋ ฅ์ด ์ด๋ฃจ์–ด์ง€์ง€ ์•Š์•˜๋‹ค. ๋”ฐ๋ผ์„œ, ๋จผ์ € ์„ธ ๊ฐœ์˜ ๊ต๋Ÿ‰ ํ˜„์žฅ์„ ์„ ์ •ํ•˜๊ณ  ๊ต๊ฐ ์ฃผ๋ณ€์˜ ํ•˜์ƒ ๊ณ ๋„ ๋ณ€ํ™”๋ฅผ ์‹œ๊ฐ„์— ๋”ฐ๋ผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ์Œํ–ฅ์ธก์‹ฌ๊ธฐ๋ฅผ ์žฅ์ฐฉํ–ˆ๋‹ค. ํ™์ˆ˜ ๋ฐœ์ƒ ํ›„์™€ ๋„์ค‘์— ํ•˜์ฒœ ํ๋ฆ„ ๋ณ€์ˆ˜์™€ ํ•˜์ƒ ์ง€ํ˜•์„ ํ˜„์žฌ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ๊ธฐ์ˆ ์„ ์ด์šฉํ•ด ํ˜„์žฅ์—์„œ ์ธก์ •ํ–ˆ๋‹ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ, ์‹คํ—˜์‹ค ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ œ์•ˆํ•˜๊ธฐ ์œ„ํ•ด, ์ธก์ •๋œ ํ•˜์ฒœ ์ง€ํ˜•๊ณผ ๊ต๋Ÿ‰ ๊ตฌ์กฐ๋ฅผ ํฌํ•จํ•œ ์™„์ „ํ•œ 3์ฐจ์› ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์„ ํ‡ด์ ๋ฌผ ํฌ๊ธฐ๋ฅผ ์ œ์™ธํ•˜๊ณ  ์ถ•์ฒ™๋น„์— ๋”ฐ๋ผ ์‹คํ—˜์‹ค์—์„œ ์„ค๊ณ„ํ•˜๊ณ  ์ œ์ž‘ํ–ˆ์œผ๋ฉฐ, ์‹คํ—˜์‹ค ๊ฒฐ๊ณผ๋ฅผ ํ˜„์žฅ ์ธก์ •์น˜์™€ ๋น„๊ตํ–ˆ๋‹ค. ํ‡ด์ ๋ฌผ ํฌ๊ธฐ ์กฐ์ •์œผ๋กœ ์ธํ•œ ์ถ•์ฒ™ ํšจ๊ณผ๋ฅผ ํƒ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ๊ท ์ผํ•œ ํ‡ด์ ๋ฌผ์˜ ํฌ๊ธฐ๋ฅผ ์‹ ์ค‘ํ•˜๊ฒŒ ์„ ํƒํ•˜์—ฌ ์‹คํ—˜์‹ค์—์„œ ์‚ฌ์šฉํ–ˆ๋‹ค. ์‹คํ—˜์‹ค ๊ฒฐ๊ณผ์™€ ํ˜„์žฅ ์ธก์ •์น˜ ๊ฐ„์˜ ๋น„๊ต๋Š” ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์ด ์œ ๋™ ํŠน์„ฑ๊ณผ ๊ต๋Ÿ‰ ๊ธฐ์ดˆ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌํ˜„ํ–ˆ์Œ์„ ๋ณด์—ฌ์ค€๋‹ค. ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด์˜ ์œ„์น˜์— ๋Œ€ํ•ด์„œ๋Š” ์ด์ „ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์™€ ์ผ์น˜ํ•˜์ง€ ์•Š๋Š”๋‹ค. ๊ฐ ๊ต๊ฐ์˜ ์ „๋ฉด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋Œ€์‹ , ๋ณต์žกํ•œ ๊ต๊ฐ ๋ฒคํŠธ ํ˜•์ƒ๊ณผ ํ•˜์ฒœ ์ง€ํ˜•, ๊ทธ๋ฆฌ๊ณ  ๊ทธ๋กœ ์ธํ•œ ๊ต๊ฐ ๋ฒคํŠธ ์ฃผ๋ณ€์˜ ๋…ํŠนํ•œ ์œ ๋™ ์šด๋™์˜ ์กฐํ•ฉ ๋•Œ๋ฌธ์— ์—ฌ๋Ÿฌ ์‹คํ—˜ ์‹คํ–‰์—์„œ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ๊ฐ ๊ต๊ฐ ๊ธฐ๋‘ฅ์˜ ๋” ํ•˜๋ฅ˜์— ์œ„์น˜ํ–ˆ๋‹ค.

3. ์„œ๋ก :

๋ฌผ๋ฆฌ์  ์ˆ˜๋ฆฌ ๋ชจ๋ธ๋ง์˜ ์ผ๋ฐ˜์ ์ธ ๋ชฉ์ ์€ ์‹คํ—˜์‹ค์—์„œ ์‹ค์ œ ์œ ๋™ ํ˜„์ƒ์„ ์žฌํ˜„ ๋ฐ/๋˜๋Š” ๋ณต์ œํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์„ฑ๊ณต์ ์ธ ๋ฌผ๋ฆฌ์  ์ˆ˜๋ฆฌ ๋ชจ๋ธ๋ง์˜ ๋„์›€์œผ๋กœ, ๋‹ค์–‘ํ•œ ์ˆ˜๋ฆฌ ๊ตฌ์กฐ๋ฌผ ์ฃผ๋ณ€์˜ ์„ ํƒ๋œ ์œ ๋™ ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ํšจ๊ณผ๋ฅผ ์ž˜ ํ†ต์ œ๋œ ์‹คํ—˜์‹ค ์‹คํ—˜์„ ์‚ฌ์šฉํ•˜์—ฌ ์กฐ์‚ฌํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ถ•์†Œ๋œ ์ „์ฒด ๊ต๋Ÿ‰ ํ˜•์ƒ๊ณผ ํ•˜์ฒœ ์ง€ํ˜•์„ ์‚ฌ์šฉํ•˜์—ฌๆธ…ๆฐด์„ธ๊ตด(clear-water scour) ์กฐ๊ฑด ํ•˜์—์„œ ๊ต๋Ÿ‰ ๊ตฌ๊ฐ„ ์ „์ฒด์— ๊ฑธ์นœ ๊ตญ๋ถ€ ๊ต๊ฐ ์„ธ๊ตด์— ๋Œ€ํ•œ ์‹คํ—˜์  ์กฐ์‚ฌ์ด๋‹ค. ๊ต๊ฐ ์„ธ๊ตด์€ ๊ณต๊ฐ„์ , ์‹œ๊ฐ„์  ๋ถ„ํฌ๋ฅผ ์ฐธ์กฐํ•˜์—ฌ ๋ถ„์„๋˜๋ฉฐ, ๋ช‡ ๊ฐ€์ง€ ์‹คํ—˜์  ๊ด€์ฐฐ๊ณผ ๊ฒฐ๋ก ์ด ๋ณด๊ณ ๋œ๋‹ค. ์ง€๋‚œ 30๋…„๊ฐ„ ๋ฏธ๊ตญ์—์„œ 1,000๊ฐœ์˜ ๊ต๋Ÿ‰์ด ๋ถ•๊ดดํ–ˆ์œผ๋ฉฐ, ์ด ์‹คํŒจ์˜ 60%๋Š” ๊ต๋Ÿ‰ ๊ธฐ์ดˆ ์„ธ๊ตด์„ ํฌํ•จํ•œ ์ˆ˜๋ฆฌํ•™์  ์‹คํŒจ์—์„œ ๋น„๋กฏ๋˜์—ˆ๋‹ค.

4. ์—ฐ๊ตฌ ์š”์•ฝ:

์—ฐ๊ตฌ ์ฃผ์ œ์˜ ๋ฐฐ๊ฒฝ:

๊ต๋Ÿ‰ ๊ธฐ์ดˆ์˜ ์„ธ๊ตด์€ ๊ตฌ์กฐ๋ฌผ์˜ ์•ˆ์ •์„ฑ์— ์น˜๋ช…์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋ฏ€๋กœ 1950๋…„๋Œ€ ํ›„๋ฐ˜๋ถ€ํ„ฐ ๋งŽ์€ ์—ฐ๊ตฌ์ž๋“ค์˜ ๊ด€์‹ฌ์„ ๋ฐ›์•„์™”๋‹ค. ์‹คํ—˜์‹ค์—์„œ์˜ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ๋ง๊ณผ ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๊ต๋Ÿ‰ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์— ๋Œ€ํ•œ ์ˆ˜๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ์ง€๋งŒ, ๋Œ€๋ถ€๋ถ„์˜ ํ˜„์žฌ ์„ธ๊ตด ์˜ˆ์ธก ๊ณต์‹์ด ๋‹จ์ˆœํ•œ ์ˆ˜๋กœ์™€ ๊ต๋Ÿ‰ ํ˜•์ƒ์œผ๋กœ ์ˆ˜ํ–‰๋œ ์‹คํ—˜์‹ค ์‹คํ—˜์— ๊ธฐ๋ฐ˜ํ•˜๊ณ  ์žˆ์–ด ์‹ค์ œ ๋Œ€๊ทœ๋ชจ ํ”„๋กœํ† ํƒ€์ž…์— ์ ์šฉ๋  ๋•Œ ์—ฌ์ „ํžˆ ์–ด๋ ค์šด ๊ณผ์ œ๋กœ ๋‚จ์•„์žˆ๋‹ค.

์ด์ „ ์—ฐ๊ตฌ ํ˜„ํ™ฉ:

์ดˆ๊ธฐ ์‹คํ—˜๋ถ€ํ„ฐ ๋Œ€๋ถ€๋ถ„์˜ ์‹คํ—˜์€ ๋‹จ์ผ ์›ํ˜• ๊ต๊ฐ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ด๋Ÿฌํ•œ ์‹คํ—˜์‹ค ๋ฐ์ดํ„ฐ๋กœ๋ถ€ํ„ฐ ๊ฐœ๋ฐœ๋œ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด์˜ ๊ด€๊ณ„ ๋ฐ ์ถ”์ •์น˜๋Š” ํ˜„์žฅ์—์„œ ์ธก์ •๋œ ์‹ค์ œ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด์™€ ๋น„๊ตํ•  ๋•Œ ๋ถ€์ •ํ™•ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์—ฌ์ค€๋‹ค. ๋˜ํ•œ, ๋Œ€๋ถ€๋ถ„์˜ ์˜ˆ์ธก ๊ณต์‹์€ ์‹ค์‹œ๊ฐ„ ์œ ์† ์ธก์ •์„ ํฌํ•จํ•˜์—ฌ ํŠน์ • ๊ต๋Ÿ‰ ํ˜„์žฅ์—์„œ ์„ธ๊ตด ๊ณผ์ •์„ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๋Š” ์žฅ๊ธฐ ๊ด€์ธก์†Œ๊ฐ€ ๊ฑฐ์˜ ์—†๊ธฐ ๋•Œ๋ฌธ์— ํ˜„์žฅ ๋ฐ์ดํ„ฐ์— ์˜ํ•ด ๊ฒ€์ฆ๋˜์ง€ ์•Š์•˜๋‹ค.

์—ฐ๊ตฌ ๋ชฉ์ :

๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์‹ค์ œ ํ˜„์žฅ์˜ ๋ณต์žกํ•œ ๊ต๋Ÿ‰ ํ˜•์ƒ๊ณผ ํ•˜์ฒœ ์ง€ํ˜•์„ ์ •๋ฐ€ํ•˜๊ฒŒ ์žฌํ˜„ํ•œ ์ถ•์†Œ ๋ฌผ๋ฆฌ ๋ชจ๋ธ์„ ์ œ์ž‘ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์–ป์€ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ์‹ค์ œ ํ˜„์žฅ ์ธก์ • ๋ฐ์ดํ„ฐ๋ฅผ ๋น„๊ตํ•จ์œผ๋กœ์จ, ์‹คํ—˜์‹ค ๋ชจ๋ธ์ด ํ˜„์žฅ ํ˜„์ƒ์„ ์–ผ๋งˆ๋‚˜ ์ •ํ™•ํ•˜๊ฒŒ ์žฌํ˜„ํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ๊ฒ€์ฆํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ, ์ด๋ฅผ ํ†ตํ•ด ์‹ ๋ขฐ์„ฑ ์žˆ๋Š” ์‹คํ—˜์‹ค ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ œ์•ˆํ•˜๊ณ ์ž ํ•œ๋‹ค.

ํ•ต์‹ฌ ์—ฐ๊ตฌ:

  • ๋ฏธ๊ตญ ์กฐ์ง€์•„ ์ฃผ์— ์œ„์น˜ํ•œ 3๊ฐœ์˜ ์‹ค์ œ ๊ต๋Ÿ‰(ํ”Œ๋ฆฐํŠธ ๊ฐ•, ์ฑ„ํ„ฐํ›„์น˜ ๊ฐ•, ์˜คํฌ๋ฉ€์ง€ ๊ฐ•)์„ ์„ ์ •ํ•˜๊ณ  ํ˜„์žฅ ๋ฐ์ดํ„ฐ(์œ ๋Ÿ‰, ์ˆ˜์œ„, ํ•˜์ƒ ์ง€ํ˜•, ์œ ์† ๋ถ„ํฌ)๋ฅผ ์ˆ˜์ง‘.
  • ํ”„๋ฃจ๋“œ ์ˆ˜ ์ƒ์‚ฌ ๋ฒ•์น™์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์‹ค์ œ ๊ต๋Ÿ‰ ๋ฐ ํ•˜์ฒœ ์ง€ํ˜•์„ ํฌํ•จํ•œ 3์ฐจ์› ์ถ•์†Œ ๋ฌผ๋ฆฌ ๋ชจ๋ธ์„ ์‹คํ—˜์‹ค ์ˆ˜์กฐ์— ์ œ์ž‘.
  • ์‹คํ—˜์‹ค ๋ชจ๋ธ์—์„œ ์–ป์€ ์„ธ๊ตด ๊นŠ์ด, ์œ ์† ๋ถ„ํฌ ๋“ฑ ๋ฐ์ดํ„ฐ๋ฅผ ํ˜„์žฅ ์ธก์ • ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•์˜ ํƒ€๋‹น์„ฑ์„ ๊ฒ€์ฆ.
  • ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๊ธฐ์กด์˜ ์ฃผ์š” ์„ธ๊ตด ์˜ˆ์ธก ๊ณต์‹(HEC-18, Melville, Sheppard ๋“ฑ)์„ ๋น„๊ตํ•˜์—ฌ ๊ณต์‹์˜ ์ •ํ™•๋„๋ฅผ ํ‰๊ฐ€.

5. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก 

์—ฐ๊ตฌ ์„ค๊ณ„:

๋ณธ ์—ฐ๊ตฌ๋Š” ํ˜„์žฅ ์ธก์ •๊ณผ ์‹คํ—˜์‹ค ๋ฌผ๋ฆฌ ๋ชจ๋ธ๋ง์„ ๊ฒฐํ•ฉํ•œ ๋น„๊ต ์—ฐ๊ตฌ๋กœ ์„ค๊ณ„๋˜์—ˆ๋‹ค. 3๊ฐœ์˜ ์‹ค์ œ ๊ต๋Ÿ‰ ํ˜„์žฅ์—์„œ ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ์ค€์œผ๋กœ, ๊ฐ ํ˜„์žฅ์— ๋Œ€ํ•œ ์ถ•์†Œ ๋ชจ๋ธ์„ ์ œ์ž‘ํ•˜์—ฌ ํ†ต์ œ๋œ ์กฐ๊ฑด์—์„œ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜๊ณ  ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ํ˜„์žฅ ๋ฐ์ดํ„ฐ์™€ ์ง์ ‘ ๋น„๊ต ๋ถ„์„ํ•˜์˜€๋‹ค.

๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•:

  • ํ˜„์žฅ ๋ฐ์ดํ„ฐ:ย USGS์˜ ํ‘œ์ค€ ์œ ๋Ÿ‰ ๊ด€์ธก์†Œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜๊ณ , ์ถ”๊ฐ€์ ์œผ๋กœ ์Œํ–ฅ์ธก์‹ฌ๊ธฐ(fathometer), ์Œํ–ฅ ๋„ํ”Œ๋Ÿฌ ์œ ์†๊ณ„(acoustic Doppler velocity sensor), ADCP๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ™์ˆ˜ ์‹œ ํ•˜์ƒ ๊ณ ๋„, 2์ฐจ์› ๋ฐ 3์ฐจ์› ์œ ์†, ํ•˜์ฒœ ์ง€ํ˜• ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ–ˆ๋‹ค.
  • ์‹คํ—˜์‹ค ๋ฐ์ดํ„ฐ:ย 4.3m ํญ, 24.4m ๊ธธ์ด์˜ ๊ฐœ์ˆ˜๋กœ ์‹คํ—˜ ์žฅ์น˜(flume)์—์„œ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ–ˆ๋‹ค. ์œ ์†์€ ์Œํ–ฅ ๋„ํ”Œ๋Ÿฌ ์œ ์†๊ณ„(ADV)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ธก์ •ํ–ˆ์œผ๋ฉฐ, ์„ธ๊ตด ๊นŠ์ด๋Š” ํฌ์ธํŠธ ๊ฒŒ์ด์ง€์™€ ADV๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฃผ๊ธฐ์ ์œผ๋กœ ์ธก์ •ํ–ˆ๋‹ค.

์—ฐ๊ตฌ ์ฃผ์ œ ๋ฐ ๋ฒ”์œ„:

์—ฐ๊ตฌ ๋ฒ”์œ„๋Š” ์„ ์ •๋œ 3๊ฐœ ๊ต๋Ÿ‰์˜ ํŠน์ • ํ™์ˆ˜ ์‚ฌ์ƒ์— ๋Œ€ํ•œ ๊ตญ๋ถ€ ๊ต๊ฐ ์„ธ๊ตด ๋ฐ ์œ ๋™ ํŠน์„ฑ ์žฌํ˜„์— ์ดˆ์ ์„ ๋งž์ถ˜๋‹ค. ๋ชจ๋ธ๋ง์€ ํ”„๋ฃจ๋“œ ์ˆ˜ ์ƒ์‚ฌ์„ฑ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, ํ‡ด์ ๋ฌผ ํฌ๊ธฐ ์กฐ์ • ํšจ๊ณผ๋ฅผ ํƒ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ๊ท ์ผํ•œ ํฌ๊ธฐ์˜ ๋ชจ๋ž˜๋ฅผ ์‚ฌ์šฉํ–ˆ๋‹ค. ์‹คํ—˜์€ ์‹คํ—˜์‹ค์—์„œ ์žฌํ˜„์ด ์šฉ์ดํ•œๆธ…ๆฐด์„ธ๊ตด(clear-water scour) ์กฐ๊ฑด์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค.

6. ์ฃผ์š” ๊ฒฐ๊ณผ:

์ฃผ์š” ๊ฒฐ๊ณผ:

  • ์‹คํ—˜์‹ค ์ถ•์†Œ ๋ชจ๋ธ์€ ํ”„๋ฃจ๋“œ ์ˆ˜ ์ƒ์‚ฌ์„ฑ์„ ์ ์šฉํ–ˆ์„ ๋•Œ, ์‹ค์ œ ํ˜„์žฅ์˜ ์œ ์† ๋ถ„ํฌ์™€ ํ•˜์ƒ ๋‹จ๋ฉด(์„ธ๊ตด ๊นŠ์ด ํฌํ•จ)์„ ๋งค์šฐ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌํ˜„ํ•˜์˜€๋‹ค.
  • ๋ณต์žกํ•œ ๊ต๊ฐ ํ˜•์ƒ๊ณผ ํ•˜์ฒœ ์ง€ํ˜•์œผ๋กœ ์ธํ•ด, ์ตœ๋Œ€ ์„ธ๊ตด์€ ์ด์ƒ์ ์ธ ์‹คํ—˜์—์„œ์ฒ˜๋Ÿผ ๊ต๊ฐ ์ „๋ฉด๋ถ€์—์„œ ๋ฐœ์ƒํ•˜์ง€ ์•Š๊ณ , ๊ต๊ฐ ๊ธฐ๋‘ฅ์˜ ํ•˜๋ฅ˜ ์ธก๋ฉด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค.
  • ์‹คํ—˜์‹ค ๋ฐ์ดํ„ฐ ๋ฐ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ์กด์˜ ์„ธ๊ตด ์˜ˆ์ธก ๊ณต์‹(HEC-18, Melville, Sheppard et al.)๊ณผ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ์–ด๋–ค ๊ณต์‹๋„ ๋ชจ๋“  ๊ฒฝ์šฐ์— ๋Œ€ํ•ด ์ผ๊ด€๋˜๊ฒŒ ์ •ํ™•ํ•œ ์˜ˆ์ธก์„ ์ œ๊ณตํ•˜์ง€ ๋ชปํ–ˆ์œผ๋ฉฐ, ๊ณผ๋Œ€ ๋˜๋Š” ๊ณผ์†Œ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค.

Figure ๋ชฉ๋ก:

  • FIGURE 1: Dimensions of the bridge bent in Flint River at Bainbridge, GA (prototype dimensions in m).
  • FIGURE 2: Dimensions of central pier bent in Chattahoochee River Bridge near Cornelia, GA (prototype dimensions in m).
  • FIGURE 3: Dimensions of the central bridge pier bent in Ocmulgee River at Macon, Georgia (prototype dimensions in m).
  • FIGURE 4: Temporal variation of bed elevation around bridge pier bent with corresponding discharge in (a) Flint River, (b) Chattahoochee River, and (c) Ocmulgee River.
  • FIGURE 5: Scour depth contours for experimental run CR4.
  • FIGURE 6: Velocity comparison between laboratory and field measurements for (a) FR1, (b) CR2, and (c) OR1.
  • FIGURE 7: Cross section comparison between laboratory and field measurements for (a) FR1, (b) CR2, and (c) OR1.
  • FIGURE 8: Comparison of field and laboratory measurements of scour depths and scour prediction formulas for Flint River Bridge.
  • FIGURE 9: Comparison of field and laboratory measurements of scour depths and scour prediction formulas for Chattahoochee River Bridge.
  • FIGURE 10: Comparison of field and laboratory measurements of scour depths and scour prediction formulas for Ocmulgee River Bridge.

7. ๊ฒฐ๋ก :

๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹ค์ œ ํ˜„์žฅ ์กฐ์‚ฌ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ถ•์†Œ ๋ฌผ๋ฆฌ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ  ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ–ˆ์œผ๋ฉฐ, ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ์ƒ์„ธํ•œ ํ˜„์žฅ ์ธก์ • ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ–ˆ๋‹ค. ๋ชจ๋“  ํ•˜์ฒœ ๋ชจ๋ธ์˜ ์œ ์† ๋ถ„ํฌ ๋น„๊ต๋Š” ํ˜„์žฅ ์ธก์ •์น˜์™€ ์ข‹์€ ์ผ์น˜๋ฅผ ๋ณด์˜€๋‹ค. ๊ต๊ฐ ์ „๋ฉด์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ํฌํ•จํ•˜์—ฌ ๊ต๋Ÿ‰ ๋ฐํฌ๋ฅผ ๋”ฐ๋ฅธ ๋‹จ๋ฉด ํ˜•์ƒ๊ณผ ํ•˜์ƒ ๊ณ ๋„๊ฐ€ ์‹คํ—˜์‹ค ์‹คํ—˜์—์„œ ์ž˜ ์žฌํ˜„๋˜์—ˆ๋‹ค. ํ˜„์žฅ๊ณผ ์‹คํ—˜์‹ค ์ธก์ • ๊ฐ„์˜ ๊ธด๋ฐ€ํ•œ ์ผ์น˜๋Š” ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ ๋ชจ๋ธ๋ง ์ „๋žต์˜ ํƒ€๋‹น์„ฑ์„ ์ž…์ฆํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์ด ์ „๋žต์€ ํ”„๋ฃจ๋“œ ์ˆ˜ ์ƒ์‚ฌ์„ฑ๊ณผ ๊ธฐํ•˜ํ•™์  ์ƒ์‚ฌ์„ฑ(yโ‚/b)์„ ์œ ์ง€ํ•˜๋ฉด์„œ, ๊ต๊ฐ ์„ธ๊ตด์— ๋ฏธ๋ฏธํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” 25-50 ๋ฒ”์œ„์˜ ๊ต๊ฐ ํฌ๊ธฐ ๋Œ€ ํ‡ด์ ๋ฌผ ํฌ๊ธฐ ๋น„์œจ(b/dโ‚…โ‚€)์„ ์ƒ์„ฑํ•˜๋Š” ํ‡ด์ ๋ฌผ ํฌ๊ธฐ๋ฅผ ์‹คํ—˜์‹ค์—์„œ ์„ ํƒํ•˜๋Š” ๊ฒƒ์ด๋‹ค.

8. ์ฐธ๊ณ  ๋ฌธํ—Œ:

  • [1] H. Hajikandi, H. Vosoughi, and S. Jamali, “Comparing the scour upstream of circular and square orifices,” International Journal of Civil Engineering, pp. 1-12, 2017.
  • [2] M. Mehraein, M. Ghodsian, M. Khosravi Mashizi, and M. Vaghefi, “Experimental study on flow pattern and scour hole dimensions around a T-shaped spur dike in a channel bend under emerged and submerged conditions,โ€ International Journal of Civil Engineering, vol. 15, no. 7, pp. 1019โ€“1034, 2017.
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  • [6] A. Durand-Claye, โ€œHydraulique-Experiences sur les affouillements,” Annales des Ponts et Chaussees, vol. 5, no. 29, pp. 467-483, 1873.
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  • [8] R. Ettema, B. W. Melville, and B. Barkdoll, “Scale effect in pier scour experiments,โ€ Journal of Hydraulic Engineering, vol. 124, no. 6, pp. 639-642, 1998.
  • [9] B. W. Melville and Y. M. Chiew, “Time scale for local scour at bridge piers,” Journal of Hydraulic Engineering, vol. 125, no. 1, p. 59, 1999.
  • [10] M. N. Landers and D. S. Mueller, “Evaluation of selected pier-scour equations using field data,” Transportation Research Record: Journal of the Transportation Research Board, vol. 1523, pp. 186-195, 1996.
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์ „๋ฌธ๊ฐ€ Q&A: ์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ์— ๋Œ€ํ•œ ๋‹ต๋ณ€

Q1: ์ด ์—ฐ๊ตฌ์—์„œ ๋ ˆ์ด๋†€์ฆˆ ์ˆ˜(Reynolds number)๊ฐ€ ์•„๋‹Œ ํ”„๋ฃจ๋“œ ์ˆ˜(Froude number) ์ƒ์‚ฌ์„ฑ์„ ์„ ํƒํ•œ ์ด์œ ๋Š” ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

A1: ๋…ผ๋ฌธ์— ๋”ฐ๋ฅด๋ฉด, ๊ต๊ฐ ์ฃผ๋ณ€์˜ ํ๋ฆ„์€ ์™„์ „ํžˆ ๋ฐœ๋‹ฌํ•œ ๋‚œ๋ฅ˜(fully turbulent) ์ƒํƒœ์ด๋ฏ€๋กœ ๋ ˆ์ด๋†€์ฆˆ ์ˆ˜์˜ ์˜ํ–ฅ์€ ๋ฌด์‹œํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, ํ”„๋ฃจ๋“œ ์ˆ˜๋Š” ๊ฐœ์ˆ˜๋กœ ํ๋ฆ„๊ณผ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์••๋ ฅ ๊ตฌ๋ฐฐ๋ฅผ ์ง€๋ฐฐํ•˜๋Š” ์ฃผ์š” ๋งค๊ฐœ๋ณ€์ˆ˜์ž…๋‹ˆ๋‹ค. ์„ธ๊ตด ํ˜„์ƒ์€ ์ด๋Ÿฌํ•œ ์••๋ ฅ ๊ตฌ๋ฐฐ์™€ ๊ทธ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ๋ง๊ตฝ ์™€๋ฅ˜(horseshoe vortex)์— ์˜ํ•ด ํฌ๊ฒŒ ์ขŒ์šฐ๋˜๋ฏ€๋กœ, ๋™์  ์ƒ์‚ฌ์„ฑ์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•ด ํ”„๋ฃจ๋“œ ์ˆ˜๋ฅผ ์ผ์น˜์‹œํ‚ค๋Š” ๊ฒƒ์ด ๊ฐ€์žฅ ์ค‘์š”ํ–ˆ์Šต๋‹ˆ๋‹ค.

Q2: ์—ฐ๊ตฌ์—์„œ๋Š” ์‹ค์ œ ํ˜„์žฅ์˜ ์ด๋™์ƒ ์„ธ๊ตด(live-bed scour)์„ ๋ชจ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ์‹คํ—˜์‹ค์—์„œๆธ…ๆฐด์„ธ๊ตด(clear-water scour) ์กฐ๊ฑด์„ ์‚ฌ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์ด ์–ด๋–ป๊ฒŒ ์ •๋‹นํ™”๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

A2: ์ด๋Š” ‘๋Œ€๋ฆฌ ๊ธฐ๋ฒ•(surrogate method)’์œผ๋กœ, ์‹คํ—˜์‹ค์˜ ๋ฌผ๋ฆฌ์ , ๊ฒฝ์ œ์  ์ œ์•ฝ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์‹ค์ œ ํ˜„์žฅ์˜ ์ด๋™์ƒ ์กฐ๊ฑด์„ ์‹คํ—˜์‹ค์—์„œ ์ •ํ™•ํžˆ ์žฌํ˜„ํ•˜๋Š” ๊ฒƒ์€ ๋งค์šฐ ์–ด๋ ต์Šต๋‹ˆ๋‹ค. ๋Œ€์‹ , ์—ฐ๊ตฌํŒ€์€ ์ ‘๊ทผ ์œ ์†์ด ํ‡ด์ ๋ฌผ ์ด๋™ ์ž„๊ณ„ ์œ ์†๋ณด๋‹ค ๋‚ฎ์€ๆธ…ๆฐด์„ธ๊ตด ์กฐ๊ฑด(Vโ‚/Vc < 1.0)์„ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ์กฐ๊ฑด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ํŠน์ • ์กฐ๊ฑด ํ•˜์—์„œ๋Š” ์ด๋™์ƒ ์„ธ๊ตด์˜ ์ตœ๋Œ€ ๊นŠ์ด์™€ ์œ ์‚ฌํ•˜๋‹ค๋Š” ์ ์„ ํ™œ์šฉํ•˜๊ณ , ํ˜„์žฅ์˜ ํฐ b/dโ‚…โ‚€(๊ต๊ฐ ํญ ๋Œ€ ์ž…์ž ์ง๊ฒฝ ๋น„) ๊ฐ’์œผ๋กœ ์ธํ•œ ์„ธ๊ตด ๊ฐ์†Œ ํšจ๊ณผ๋ฅผ ๋ณด์ƒํ•จ์œผ๋กœ์จ ํ˜„์žฅ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

Q3: ๊ทธ๋ฆผ 7์„ ๋ณด๋ฉด ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ํ˜„์žฅ ๋ฐ์ดํ„ฐ ์‚ฌ์ด์— ํ‡ด์ (deposition) ์˜์—ญ์—์„œ ์•ฝ๊ฐ„์˜ ์ฐจ์ด๊ฐ€ ๋ณด์ž…๋‹ˆ๋‹ค. ๊ทธ ์ด์œ ๋Š” ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

A3: ๋…ผ๋ฌธ์—์„œ๋Š” ์ด ์ฐจ์ด๊ฐ€ ์‹คํ—˜ ์กฐ๊ฑด์˜ ์ฐจ์ด์—์„œ ๋น„๋กฏ๋œ๋‹ค๊ณ  ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ์‹คํ—˜์‹ค์—์„œ๋Š” ์„ธ๊ตด์„ ๊ทน๋Œ€ํ™”ํ•˜๋Š”ๆธ…ๆฐด์„ธ๊ตด ์กฐ๊ฑด์œผ๋กœ ์‹คํ—˜์ด ์ˆ˜ํ–‰๋œ ๋ฐ˜๋ฉด, ์‹ค์ œ ํ˜„์žฅ์—์„œ๋Š” ์ƒ๋ฅ˜์—์„œ ํ‡ด์ ๋ฌผ์ด ๊ณ„์† ๊ณต๊ธ‰๋˜๋Š” ์ด๋™์ƒ ์„ธ๊ตด์ด ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋กœ ์ธํ•ด ์‹คํ—˜์‹ค ๋ชจ๋ธ์—์„œ๋Š” ์„ธ๊ตด์ด ์ง€๋ฐฐ์ ์ด์—ˆ์ง€๋งŒ, ํ˜„์žฅ์—์„œ๋Š” ์„ธ๊ตด๊ณผ ํ•จ๊ป˜ ํ‡ด์  ์ž‘์šฉ๋„ ํ™œ๋ฐœํžˆ ์ผ์–ด๋‚˜ ๊ต๊ฐ ์‚ฌ์ด์™€ ๊ฐ™์€ ํŠน์ • ์ง€์—ญ์—์„œ ํ•˜์ƒ๊ณ ์˜ ์ฐจ์ด๊ฐ€ ๋ฐœ์ƒํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

Q4: ์ด ์—ฐ๊ตฌ์—์„œ b/dโ‚…โ‚€ ๋น„์œจ(๊ต๊ฐ ํญ ๋Œ€ ํ‡ด์ ๋ฌผ ์ค‘์•™ ์ž…๊ฒฝ)์ด ๊ฐ–๋Š” ์ค‘์š”์„ฑ์€ ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

A4: b/dโ‚…โ‚€ ๋น„์œจ์€ ์„ธ๊ตด ๊นŠ์ด์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ค‘์š”ํ•œ ๋งค๊ฐœ๋ณ€์ˆ˜์ž…๋‹ˆ๋‹ค. ์‹ค์ œ ํ˜„์žฅ์—์„œ๋Š” ์ด ๋น„์œจ์ด ๋งค์šฐ ํฌ์ง€๋งŒ(์˜ˆ: 1569 ์ด์ƒ), ์ด๋ฅผ ์‹คํ—˜์‹ค์—์„œ ์ถ•์ฒ™๋น„์— ๋”ฐ๋ผ ๊ทธ๋Œ€๋กœ ์žฌํ˜„ํ•˜๋ฉด ํ‡ด์ ๋ฌผ ์ž…์ž๊ฐ€ ๋„ˆ๋ฌด ์ž‘์•„์ ธ ์ ์ฐฉ๋ ฅ ๊ฐ™์€ ๋ถ€๊ฐ€์ ์ธ ํž˜์ด ์ž‘์šฉํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ์—ฐ๊ตฌํŒ€์€ ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, b/dโ‚…โ‚€ ๋น„์œจ์ด ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๊ฑฐ์˜ ์—†๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง„ 25-50 ๋ฒ”์œ„ ๋‚ด์˜ ๊ฐ’์„ ๊ฐ–๋„๋ก ์‹คํ—˜์‹ค ํ‡ด์ ๋ฌผ ํฌ๊ธฐ๋ฅผ ์˜๋„์ ์œผ๋กœ ์„ ํƒํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋ชจ๋ธ๋ง ์ „๋žต์˜ ํ•ต์‹ฌ ๋ถ€๋ถ„์œผ๋กœ, ํ‡ด์ ๋ฌผ ํฌ๊ธฐ ์กฐ์ •์œผ๋กœ ์ธํ•œ ์ถ•์ฒ™ ํšจ๊ณผ๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ณ  ์˜ˆ์ธก์˜ ์‹ ๋ขฐ๋„๋ฅผ ๋†’์ด๋Š” ๋ฐ ๊ธฐ์—ฌํ–ˆ์Šต๋‹ˆ๋‹ค.

Q5: ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ๊ธฐ์กด ์„ธ๊ตด ๊ณต์‹๋“ค์ด ์ข…์ข… ๋ถ€์ •ํ™•ํ•˜๋‹ค๊ณ  ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ์–ด๋–ค ๊ณต์‹์ด ๊ฐ€์žฅ ๋‚˜์€ ์„ฑ๋Šฅ์„ ๋ณด์˜€๋‚˜์š”?

A5: ๊ทธ๋ฆผ 8, 9, 10์„ ์ข…ํ•ฉ์ ์œผ๋กœ ๋ณด๋ฉด, Sheppard et al.์˜ ๊ณต์‹์ด ์—ฌ๋Ÿฌ ํ˜„์žฅ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ต์  ์ž˜ ์ผ์น˜ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€์Šต๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, HEC-18๊ณผ Melville์˜ ๊ณต์‹์€ ํŠนํžˆ ํ˜„์žฅ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•ด ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๊ณผ๋Œ€ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ๋…ผ๋ฌธ์€ ์–ด๋–ค ๊ณต์‹๋„ ๋ชจ๋“  ์กฐ๊ฑด์—์„œ ๋ณดํŽธ์ ์œผ๋กœ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•˜์ง€๋Š” ๋ชปํ–ˆ๋‹ค๊ณ  ๊ฒฐ๋ก  ๋‚ด๋ ธ์œผ๋ฉฐ, ์ด๋Š” ๊ต๋Ÿ‰ ์„ธ๊ตด ์˜ˆ์ธก ์‹œ ํ˜„์žฅ ํŠน์„ฑ์„ ๊ณ ๋ คํ•œ ์ •๋ฐ€ ๋ชจ๋ธ๋ง์˜ ํ•„์š”์„ฑ์„ ๋‹ค์‹œ ํ•œ๋ฒˆ ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค.

Figure 5: Scour depth contours for experimental run CR4.
Figure 5: Scour depth contours for experimental run CR4.

๊ฒฐ๋ก : ๋” ๋†’์€ ํ’ˆ์งˆ๊ณผ ์ƒ์‚ฐ์„ฑ์„ ์œ„ํ•œ ๊ธธ

์ด ์—ฐ๊ตฌ๋Š” ํ‘œ์ค€ํ™”๋œ ๊ฒฝํ—˜์  ๊ณต์‹๋งŒ์œผ๋กœ๋Š” ๋ณต์žกํ•œ ์‹ค์ œ ํ˜„์žฅ์˜ ๊ต๋Ÿ‰ ์„ธ๊ตด ์˜ˆ์ธก์— ํ•œ๊ณ„๊ฐ€ ์žˆ์Œ์„ ๋ช…ํ™•ํžˆ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ, ์‹ค์ œ ์ง€ํ˜•๊ณผ ๊ตฌ์กฐ๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ๋ฐ˜์˜ํ•˜๊ณ  ํ”„๋ฃจ๋“œ ์ˆ˜ ์ƒ์‚ฌ์„ฑ์„ ์ ์šฉํ•œ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ๋ง ๋ฐฉ๋ฒ•๋ก ์€ ์‹ค์ œ ์„ธ๊ตด ํ˜„์ƒ์„ ๋งค์šฐ ์ •ํ™•ํ•˜๊ฒŒ ์žฌํ˜„ํ•  ์ˆ˜ ์žˆ์Œ์„ ์ž…์ฆํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ฐฉ๋ฒ•๋ก ์€ ๋” ์•ˆ์ „ํ•œ ์‚ฌํšŒ ๊ธฐ๋ฐ˜ ์‹œ์„ค์„ ์„ค๊ณ„ํ•˜๋Š” ๋ฐ ํ•„์ˆ˜์ ์ด๋ฉฐ, FLOW-3D์™€ ๊ฐ™์€ ๊ณ ์ •๋ฐ€ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ๊ฐ•๋ ฅํ•œ ๊ธฐ์ค€(benchmark)์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

STI C&D๋Š” ์ตœ์‹  ์‚ฐ์—… ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์ ์šฉํ•˜์—ฌ ๊ณ ๊ฐ์ด ๋” ๋†’์€ ์ƒ์‚ฐ์„ฑ๊ณผ ํ’ˆ์งˆ์„ ๋‹ฌ์„ฑํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š” ๋ฐ ์ „๋…ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ ๋…ผ์˜๋œ ๊ณผ์ œ๊ฐ€ ๊ท€์‚ฌ์˜ ์šด์˜ ๋ชฉํ‘œ์™€ ์ผ์น˜ํ•œ๋‹ค๋ฉด, ์ €ํฌ ์—”์ง€๋‹ˆ์–ด๋ง ํŒ€์— ์—ฐ๋ฝํ•˜์—ฌ ์ด๋Ÿฌํ•œ ์›์น™์„ ๊ท€์‚ฌ์˜ ๊ตฌ์„ฑ ์š”์†Œ์— ์–ด๋–ป๊ฒŒ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์•Œ์•„๋ณด์‹ญ์‹œ์˜ค.

(์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””์—์„œ๋Š” ๊ณ ๊ฐ์ด ์ˆ˜์น˜ํ•ด์„์„ ์ง์ ‘ ์ˆ˜ํ–‰ํ•˜๊ณ  ์‹ถ์ง€๋งŒ ๊ฒฝํ—˜์ด ์—†๊ฑฐ๋‚˜, ์‹œ๊ฐ„์ด ์—†์–ด์„œ ์šฉ์—ญ์„ ํ†ตํ•ด ์ˆ˜์น˜ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ์–ป๊ณ ์ž ํ•˜๋Š” ๊ฒฝ์šฐ ์ „๋ฌธ ์—”์ง€๋‹ˆ์–ด๋ฅผ ํ†ตํ•ด CFD consulting services๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ท€ํ•˜๊ป˜์„œ ๋‹น๋ฉดํ•˜๊ณ  ์žˆ๋Š” ์—ฐ๊ตฌํ”„๋กœ์ ํŠธ๋ฅผ ์ตœ์†Œ์˜ ๋น„์šฉ์œผ๋กœ, ์ตœ์ ์˜ ํ•ด๊ฒฐ๋ฐฉ์•ˆ์„ ์ฐพ์„ ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

  • ์—ฐ๋ฝ์ฒ˜ : 02-2026-0442
  • ์ด๋ฉ”์ผ : flow3d@stikorea.co.kr

์ €์ž‘๊ถŒ ์ •๋ณด

  • ์ด ์ฝ˜ํ…์ธ ๋Š” Seung Oh Lee์™€ Seung Ho Hong์˜ ๋…ผ๋ฌธ “Reproducing Field Measurements Using Scaled-Down Hydraulic Model Studies in a Laboratory”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์š”์•ฝ ๋ฐ ๋ถ„์„ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค.
  • ์ถœ์ฒ˜: https://doi.org/10.1155/2018/9091506

์ด ์ž๋ฃŒ๋Š” ์ •๋ณด ์ œ๊ณต ๋ชฉ์ ์œผ๋กœ๋งŒ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋ฌด๋‹จ ์ƒ์—…์  ์‚ฌ์šฉ์„ ๊ธˆ์ง€ํ•ฉ๋‹ˆ๋‹ค. Copyright ยฉ 2025 STI C&D. All rights reserved.

Figure 7. Equilibrium scour hole around M2a pier with ฮฑ = 45ยฐ

๊ต๊ฐ ํ˜•์ƒ ์ตœ์ ํ™”๋ฅผ ํ†ตํ•œ ๊ต๋Ÿ‰ ๋ถ•๊ดด ๋ฐฉ์ง€: ๊ตญ๋ถ€ ์„ธ๊ตด 55% ์ €๊ฐ ๊ธฐ์ˆ 

์ด ๊ธฐ์ˆ  ์š”์•ฝ์€ Siva K. Reddy ์™ธ ์ €์ž๊ฐ€ 2024๋…„ Civil Engineering Journal์— ๋ฐœํ‘œํ•œ ๋…ผ๋ฌธ “Local Scour around Different-Shaped Bridge Piers”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, STI C&D ๊ธฐ์ˆ  ์ „๋ฌธ๊ฐ€์— ์˜ํ•ด ๋ถ„์„ ๋ฐ ์š”์•ฝ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

ํ‚ค์›Œ๋“œ

  • Primary Keyword:ย ๊ต๊ฐ ์„ธ๊ตด
  • Secondary Keywords:ย ๊ต๊ฐ ํ˜•์ƒ, ์ˆ˜๋ฆฌ ์‹คํ—˜, ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก, M5 ๋ชจ๋ธ, ํƒ ๋ค ๊ต๊ฐ

Executive Summary

  • ๋ฌธ์ œ์ :ย ๊ต๊ฐ ์ฃผ๋ณ€์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ตญ๋ถ€ ์„ธ๊ตด์€ ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ์ฃผ์š” ์›์ธ์ด๋ฉฐ, ์ด๋ฅผ ์ •ํ™•ํžˆ ์˜ˆ์ธกํ•˜๊ณ  ์ œ์–ดํ•˜๋Š” ๊ฒƒ์€ ๊ต๋Ÿ‰์˜ ์•ˆ์ „ ์„ค๊ณ„์— ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค.
  • ํ•ด๊ฒฐ ๋ฐฉ์•ˆ:ย ์›ํ˜• ๊ต๊ฐ๊ณผ ๋™์ผํ•œ ๋‹จ๋ฉด์ ์„ ๊ฐ€์ง„ ๋‘ ๊ฐ€์ง€ ์ˆ˜์ •๋œ ํ˜•์ƒ(M2, M3)์˜ ๊ต๊ฐ์„ ์ œ์ž‘ํ•˜์—ฌ, ๋‹จ์ผ ๋ฐ ํƒ ๋ค(์ง๋ ฌ) ๋ฐฐ์—ด ์กฐ๊ฑด์—์„œ ์ˆ˜๋ฆฌ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜๊ณ , ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์„ ์œ„ํ•œ M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ํ•ต์‹ฌ ๋ฐœ๊ฒฌ:ย ์œ ๋™ ๋ฐฉํ–ฅ๊ณผ ์ผ์น˜ํ•  ๋•Œ, ์ˆ˜์ •๋œ M3 ๊ต๊ฐ์€ ๊ธฐ์กด ์›ํ˜• ๊ต๊ฐ(M1)์— ๋น„ํ•ด ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ตœ๋Œ€ 55%๊นŒ์ง€ ๊ฐ์†Œ์‹œํ‚ค๋Š” ํšจ๊ณผ๋ฅผ ๋ณด์˜€์Šต๋‹ˆ๋‹ค.
  • ๊ฒฐ๋ก :ย ๊ต๊ฐ ํ˜•์ƒ์„ ์ตœ์ ํ™”ํ•˜๋Š” ๊ฒƒ์€ ๊ต๊ฐ ์„ธ๊ตด์„ ์ค„์ด๋Š” ๋งค์šฐ ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์ด๋ฉฐ, ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœ๋œ M5 ์˜ˆ์ธก ๋ชจ๋ธ์€ ๊ธฐ์กด ํšŒ๊ท€ ๋ฐฉ์ •์‹๋ณด๋‹ค ๋†’์€ ์ •ํ™•๋„๋ฅผ ์ œ๊ณตํ•˜์—ฌ ๋” ์•ˆ์ „ํ•˜๊ณ  ๊ฒฝ์ œ์ ์ธ ๊ต๋Ÿ‰ ์„ค๊ณ„์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋ฌธ์ œ์ : ์™œ ์ด ์—ฐ๊ตฌ๊ฐ€ CFD ์ „๋ฌธ๊ฐ€์—๊ฒŒ ์ค‘์š”ํ•œ๊ฐ€?

๊ต๋Ÿ‰์€ ๊ตญ๊ฐ€ ๊ตํ†ต ์‹œ์Šคํ…œ์˜ ํ•ต์‹ฌ์ ์ธ ์—ญํ• ์„ ํ•˜์ง€๋งŒ, ๊ทธ ๋ถ•๊ดด๋Š” ๋ง‰๋Œ€ํ•œ ์‚ฌํšŒ๊ฒฝ์ œ์  ํ”ผํ•ด๋ฅผ ์•ผ๊ธฐํ•ฉ๋‹ˆ๋‹ค. ๋ฏธ๊ตญ์—์„œ๋Š” ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ 45%๊ฐ€ ํ™์ˆ˜๋‚˜ ๊ตญ๋ถ€ ์„ธ๊ตด๊ณผ ๊ฐ™์€ ์ˆ˜๋ฆฌํ•™์  ์‚ฌ๊ฑด์œผ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค. ๊ต๊ฐ์€ ํ•˜์ฒœ์˜ ํ๋ฆ„์„ ๋ฐฉํ•ดํ•˜์—ฌ ๊ต๊ฐ ์ „๋ฉด์˜ ํ•˜๊ฐ• ํ๋ฆ„(downflow)๊ณผ ๊ด€๋ จ๋œ ๋ง๊ตฝ ์™€๋ฅ˜(horseshoe vortex) ๋ฐ ํ›„๋ฉด์˜ ๋ฐ•๋ฆฌ๋กœ ์ธํ•œ ํ›„๋ฅ˜ ์™€๋ฅ˜(wake vortices)๋ฅผ ๋ฐœ์ƒ์‹œํ‚ต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณต์žกํ•œ ์™€๋ฅ˜ ์‹œ์Šคํ…œ์€ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ํ•˜์ƒ ์ „๋‹จ ์‘๋ ฅ์„ ์ฆ๊ฐ€์‹œ์ผœ ํ‡ด์ ๋ฌผ์„ ์ œ๊ฑฐํ•˜๋Š”๋ฐ, ์ด๊ฒƒ์ด ๋ฐ”๋กœ ‘๊ตญ๋ถ€ ์„ธ๊ตด’์ž…๋‹ˆ๋‹ค.

๊ณผ๋„ํ•œ ์„ธ๊ตด์€ ๊ต๋Ÿ‰ ๊ธฐ์ดˆ์˜ ๊ตฌ์กฐ์  ๋ถˆ์•ˆ์ •์„ฑ์„ ์ดˆ๋ž˜ํ•˜์—ฌ ๊ฒฐ๊ตญ ๋ถ•๊ดด๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๊ณ , ์ด๋ฅผ ์ œ์–ดํ•  ์ˆ˜ ์žˆ๋Š” ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์„ ์ฐพ๋Š” ๊ฒƒ์ด ๋ฌด์—‡๋ณด๋‹ค ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์€ ๋‹ค์–‘ํ•œ ํ˜•์ƒ์˜ ๊ต๊ฐ์„ ๋‹ค๋ฃจ์—ˆ์ง€๋งŒ, ๋ณต์žกํ•œ ์„ธ๊ตด ๋ฉ”์ปค๋‹ˆ์ฆ˜์œผ๋กœ ์ธํ•ด ์ตœ์ ์˜ ํ˜•์ƒ์„ ์ฐพ๋Š” ๋ฐ์—๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ๊ธฐ์ˆ ์  ๋‚œ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ์ƒˆ๋กœ์šด ๊ต๊ฐ ํ˜•์ƒ์„ ์ œ์•ˆํ•˜๊ณ  ๊ทธ ํšจ๊ณผ๋ฅผ ์‹คํ—˜์ ์œผ๋กœ ๊ฒ€์ฆํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค.

Figure 3. Diagram showing: (a) pier models; and (b) different tandem arrangements
Figure 3. Diagram showing: (a) pier models; and (b) different tandem arrangements

์ ‘๊ทผ๋ฒ•: ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก  ๋ถ„์„

๋ณธ ์—ฐ๊ตฌ๋Š” ์ธ๋„ ๊ณต๊ณผ๋Œ€ํ•™๊ต ๋งˆ๋“œ๋ผ์Šค ์บ ํผ์Šค(Indian Institute of Technology Madras)์˜ ํ† ๋ชฉ๊ณตํ•™๊ณผ์— ์žˆ๋Š” ๊ธธ์ด 8.0m, ํญ 1.0m, ๊นŠ์ด 1.0m์˜ ์œ ๋ฆฌ๋ฒฝ ์ˆ˜๋กœ์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

  • ์‹คํ—˜ ์กฐ๊ฑด:ย ํ‰๊ท  ์ž…๊ฒฝ(d50) 0.56mm์˜ ๊ท ์ผํ•œ ๊ฐ•๋ชจ๋ž˜๋ฅผ 0.23m ๋†’์ด๋กœ ์ฑ„์› ์œผ๋ฉฐ, ์ž„๊ณ„ ์œ ์†(Vc) 0.29m/s ๋Œ€๋น„ 90% ์ˆ˜์ค€์ธ ํ‰๊ท  ์œ ์†(V) 0.26m/s์˜ ์ฒญ์ˆ˜(clear-water) ์„ธ๊ตด ์กฐ๊ฑด์—์„œ ์‹คํ—˜์„ ์ง„ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ํ‡ด์ ๋ฌผ ์ด๋™์ด ๋ง‰ ์‹œ์ž‘๋˜๋Š” ํ•œ๊ณ„ ์กฐ๊ฑด ํ•˜์—์„œ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•จ์ž…๋‹ˆ๋‹ค.
  • ๊ต๊ฐ ๋ชจ๋ธ:ย ์ง๊ฒฝ 5cm์˜ ์›ํ˜• ๊ต๊ฐ(M1)์„ ๊ธฐ์ค€์œผ๋กœ, ๋™์ผํ•œ ๋‹จ๋ฉด์ ์„ ๊ฐ–๋Š” ๋‘ ๊ฐ€์ง€ ์ˆ˜์ •๋œ ํ˜•์ƒ์˜ ๊ต๊ฐ์„ ํ…Œ์ŠคํŠธํ–ˆ์Šต๋‹ˆ๋‹ค.
    • M2:ย ๋ฐ˜์›๊ณผ ์‚ผ๊ฐํ˜•์„ ๊ฒฐํ•ฉํ•œ ํ˜•ํƒœ๋กœ, ์œ ๋™ ๋ฐฉํ–ฅ์— ๋”ฐ๋ผ ๋ฐ˜์›ํ˜• ์ „๋ฉด(M2a)๊ณผ ์‚ผ๊ฐํ˜• ์ „๋ฉด(M2b) ๋‘ ๊ฐ€์ง€ ๊ฒฝ์šฐ๋กœ ์‹คํ—˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • M3:ย M2a ๋ชจ๋ธ์˜ ๋ฐ˜์›ํ˜• ๋์— ์ž‘์€ ๋Œ์ถœ๋ถ€(protrusion)๋ฅผ ์ถ”๊ฐ€ํ•˜์—ฌ ์œ ์„ ํ˜• ํšจ๊ณผ๋ฅผ ๋”์šฑ ๊ฐœ์„ ํ•œ ํ˜•ํƒœ์ž…๋‹ˆ๋‹ค.
  • ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„:ย ๋””์ง€ํ„ธ ํฌ์ธํŠธ ๊ฒŒ์ด์ง€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์‹œ๊ฐ„ ๊ฒฝ๊ณผ์— ๋”ฐ๋ฅธ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ธก์ •ํ•˜์˜€์œผ๋ฉฐ, ์•ฝ 18์‹œ๊ฐ„ ํ›„ ํ‰ํ˜• ์ƒํƒœ์— ๋„๋‹ฌํ–ˆ์„ ๋•Œ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๊ธฐ๋กํ–ˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ๋‹จ์ผ ๊ต๊ฐ์˜ ๊ฒฝ์šฐ ์œ ๋™ ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ๊ฒฝ์‚ฌ๊ฐ(skew angle, ฮฑ)์„ 0ยฐ์—์„œ 45ยฐ๊นŒ์ง€ ๋ณ€ํ™”์‹œํ‚ค๋ฉฐ ๊ทธ ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ–ˆ๊ณ , ํƒ ๋ค ๋ฐฐ์—ด์˜ ๊ฒฝ์šฐ ๊ต๊ฐ ๊ฐ„์˜ ์ˆœ ๊ฐ„๊ฒฉ(X)์„ ๋ณ€ํ™”์‹œํ‚ค๋ฉฐ ์ƒํ˜ธ ๊ฐ„์„ญ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋Š” M5 ์˜์‚ฌ๊ฒฐ์ • ํŠธ๋ฆฌ ๋ชจ๋ธ ๊ฐœ๋ฐœ ๋ฐ ๊ฒ€์ฆ์— ์‚ฌ์šฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

ํ•ต์‹ฌ ๋ฐœ๊ฒฌ: ์ฃผ์š” ๊ฒฐ๊ณผ ๋ฐ ๋ฐ์ดํ„ฐ

๊ฒฐ๊ณผ 1: ์ˆ˜์ •๋œ ๊ต๊ฐ ํ˜•์ƒ, ๊ตญ๋ถ€ ์„ธ๊ตด ์ตœ๋Œ€ 55% ์ €๊ฐ

์œ ๋™ ๋ฐฉํ–ฅ๊ณผ ๊ต๊ฐ์ด ์ •๋ ฌ๋œ ๊ฒฝ์šฐ(๊ฒฝ์‚ฌ๊ฐ ฮฑ = 0ยฐ), ์ˆ˜์ •๋œ ๊ต๊ฐ ํ˜•์ƒ์€ ๊ธฐ์กด ์›ํ˜• ๊ต๊ฐ(M1)์— ๋น„ํ•ด ์„ธ๊ตด ๊นŠ์ด๋ฅผ ํ˜„์ €ํ•˜๊ฒŒ ๊ฐ์†Œ์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.

  • M2a (๋ฐ˜์›ํ˜• ์ „๋ฉด):ย ์„ธ๊ตด ๊นŠ์ด 23.5% ๊ฐ์†Œ
  • M2b (์‚ผ๊ฐํ˜• ์ „๋ฉด):ย ์„ธ๊ตด ๊นŠ์ด 50% ๊ฐ์†Œ
  • M3 (๋Œ์ถœ๋ถ€๊ฐ€ ์žˆ๋Š” ๋ฐ˜์›ํ˜• ์ „๋ฉด):ย ์„ธ๊ตด ๊นŠ์ด 55% ๊ฐ์†Œ

์ด๋Š” Abstract์— ๋ช…์‹œ๋œ ๊ฒฐ๊ณผ๋กœ, M2b์™€ M3 ํ˜•์ƒ์ด ์œ ๋™ ๋ฐ•๋ฆฌ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์ง€์—ฐ์‹œ์ผœ ๋ง๊ตฝ ์™€๋ฅ˜์™€ ํ›„๋ฅ˜ ์™€๋ฅ˜์˜ ๊ฐ•๋„๋ฅผ ์•ฝํ™”์‹œ์ผฐ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ํŠนํžˆ, M3 ๊ต๊ฐ์˜ ์ „๋ฉด์— ์ถ”๊ฐ€๋œ ์ž‘์€ ๊ธˆ์†ํŒ์€ ์œ ๋™์„ ์ฆ‰์‹œ ๋ถ„๊ธฐ์‹œ์ผœ ์„ธ๊ตด ์ €๊ฐ์— ๊ฐ€์žฅ ํšจ์œจ์ ์ธ ์„ฑ๋Šฅ์„ ๋ณด์˜€์Šต๋‹ˆ๋‹ค. Figure 6์€ ์ˆ˜์ •๋œ ๊ต๊ฐ๋“ค์ด ์›ํ˜• ๊ต๊ฐ๋ณด๋‹ค ํ›จ์”ฌ ๋น ๋ฅธ ์‹œ๊ฐ„(T* = 0.4)์— ํ‰ํ˜• ์„ธ๊ตด ์ƒํƒœ์— ๋„๋‹ฌํ•จ์„ ๋ณด์—ฌ์ฃผ๋ฉฐ, ์ด๋Š” ๋‹จ๊ธฐ ํ™์ˆ˜ ๋ฐœ์ƒ ์‹œ ๊ต๋Ÿ‰์˜ ์•ˆ์ •์„ฑ์„ ๋†’์ด๋Š” ๋ฐ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

๊ฒฐ๊ณผ 2: ๊ฒฝ์‚ฌ๊ฐ(Skew Angle) ์ฆ๊ฐ€๋Š” ์„ธ๊ตด ์ €๊ฐ ํšจ๊ณผ๋ฅผ ์ƒ์‡„

์ˆ˜์ •๋œ ๊ต๊ฐ์˜ ๋›ฐ์–ด๋‚œ ์„ธ๊ตด ์ €๊ฐ ์„ฑ๋Šฅ์€ ์œ ๋™ ๋ฐฉํ–ฅ๊ณผ ์ •๋ ฌ๋˜์—ˆ์„ ๋•Œ์— ํ•œ์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ต๊ฐ์— ๊ฒฝ์‚ฌ๊ฐ์ด ์ƒ๊ธฐ๋ฉด ์œ ํšจ ํญ์ด ์ฆ๊ฐ€ํ•˜๊ณ  ์œ ๋™ ๊ต๋ž€์ด ์‹ฌํ•ด์ ธ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.

Table 1์€ ๊ฒฝ์‚ฌ๊ฐ(ฮฑ)์— ๋”ฐ๋ฅธ ์„ธ๊ตด ๊นŠ์ด(H)์™€ ์„ธ๊ตด ๊ณ„์ˆ˜(Ka)์˜ ๋ณ€ํ™”๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๊ฐ€์žฅ ์„ฑ๋Šฅ์ด ์ข‹์•˜๋˜ M3 ๊ต๊ฐ์˜ ๊ฒฝ์šฐ, ๊ฒฝ์‚ฌ๊ฐ์ด 0ยฐ์ผ ๋•Œ ์ •๊ทœํ™”๋œ ์„ธ๊ตด ๊นŠ์ด(H)๋Š” 0.46์ด์—ˆ์ง€๋งŒ, 45ยฐ์—์„œ๋Š” 0.82๋กœ ๊ฑฐ์˜ ๋‘ ๋ฐฐ ๊ฐ€๊นŒ์ด ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์„ธ๊ตด ๊ณ„์ˆ˜(Ka)๊ฐ€ 1.78์— ๋‹ฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ, ๊ฒฝ์‚ฌ๊ฐ์ด ์ปค์งˆ์ˆ˜๋ก ์œ ์„ ํ˜• ๊ต๊ฐ์˜ ์žฅ์ ์ด ์‚ฌ๋ผ์ง€๊ณ  ์˜คํžˆ๋ ค ๋ถˆ๋ฆฌํ•ด์งˆ ์ˆ˜ ์žˆ์Œ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, M2b(์‚ผ๊ฐํ˜• ์ „๋ฉด) ๊ต๊ฐ์€ 5ยฐ์˜ ๊ฒฝ์‚ฌ๊ฐ ๋ณ€ํ™”์—๋„ ์„ธ๊ตด ๊นŠ์ด์— ์˜ํ–ฅ์ด ์—†์—ˆ๋Š”๋ฐ, ์ด๋Š” ๋พฐ์กฑํ•œ ์ „๋ฉด์ด ์ฆ‰๊ฐ์ ์ธ ์œ ๋™ ๋ถ„๊ธฐ๋ฅผ ์œ ๋„ํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.

Figure 7. Equilibrium scour hole around M2a pier with ฮฑ = 45ยฐ
Figure 7. Equilibrium scour hole around M2a pier with ฮฑ = 45ยฐ

๊ฒฐ๊ณผ 3: M5 ๋ชจ๋ธ, ๊ธฐ์กด ์˜ˆ์ธก์‹๋ณด๋‹ค ์›”๋“ฑํ•œ ์ •ํ™•๋„ ์ œ๊ณต

๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹จ์ผ ๋ฐ ํƒ ๋ค ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๋Š” M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ฐœ๋ฐœ๋œ ๋ชจ๋ธ์˜ ์„ฑ๋Šฅ์„ ๊ธฐ์กด์— ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” 5๊ฐ€์ง€ ํšŒ๊ท€ ๋ฐฉ์ •์‹๊ณผ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, M5 ๋ชจ๋ธ์ด ๊ฐ€์žฅ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋ณด์˜€์Šต๋‹ˆ๋‹ค.

Figure 13์€ ๊ฐ ๋ชจ๋ธ์˜ ์˜ˆ์ธก ์„ฑ๋Šฅ์„ ๋น„๊ตํ•œ ์‚ฐ์ ๋„์ž…๋‹ˆ๋‹ค. M5 ๋ชจ๋ธ์€ ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ) 0.837, ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE) 0.625๋ฅผ ๊ธฐ๋กํ•˜์—ฌ, CSU(Rยฒ=0.545)๋‚˜ Breusers et al.(Rยฒ=0.496) ๋“ฑ ๋‹ค๋ฅธ ๋ชจ๋ธ๋“ค๋ณด๋‹ค ์ธก์ •๊ฐ’๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ํ›จ์”ฌ ๋†’๊ณ  ์˜ค์ฐจ๊ฐ€ ์ ์Œ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. Figure 14์˜ ๋ฐ•์Šค ํ”Œ๋กฏ(Box plot) ๋ถ„์„์—์„œ๋„ M5 ๋ชจ๋ธ์˜ ์ž”์ฐจ ์˜ค์ฐจ ๋ถ„ํฌ๊ฐ€ ๊ฐ€์žฅ ์ž‘๊ณ  ์ค‘์•™์— ๋ฐ€์ง‘๋˜์–ด ์žˆ์–ด ์˜ˆ์ธก์˜ ์‹ ๋ขฐ์„ฑ์ด ๊ฐ€์žฅ ๋†’์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” M5 ๋ชจ๋ธ์ด ๊ต๊ฐ ํ˜•์ƒ, ๊ฒฝ์‚ฌ๊ฐ ๋“ฑ ๋ณต์žกํ•˜๊ณ  ๋น„์„ ํ˜•์ ์ธ ๊ด€๊ณ„๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ํ•™์Šตํ•˜์—ฌ ๋” ์ •ํ™•ํ•œ ๊ต๊ฐ ์„ธ๊ตด ์˜ˆ์ธก์ด ๊ฐ€๋Šฅํ•จ์„ ์ž…์ฆํ•ฉ๋‹ˆ๋‹ค.

R&D ๋ฐ ์šด์˜์„ ์œ„ํ•œ ์‹ค์งˆ์  ์‹œ์‚ฌ์ 

  • ์ˆ˜๋ฆฌ ๋ฐ ํ† ๋ชฉ ์„ค๊ณ„ ์—”์ง€๋‹ˆ์–ด:ย ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ์‹ ๊ทœ ๊ต๋Ÿ‰ ์„ค๊ณ„ ์‹œ M2b ๋˜๋Š” M3์™€ ๊ฐ™์€ ์ˆ˜์ •๋œ ๊ต๊ฐ ํ˜•์ƒ์„ ์ ์šฉํ•˜๋Š” ๊ฒƒ์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋Œ€ํ•œ ํšจ๊ณผ์ ์ธ ๋Œ€์ฑ…์ด ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ์œ ๋™ ๋ฐฉํ–ฅ์ด ๋น„๊ต์  ์ผ์ •ํ•œ ๊ตฌ๊ฐ„์—์„œ๋Š” ์„ธ๊ตด ์ €๊ฐ ํšจ๊ณผ๋ฅผ ๊ทน๋Œ€ํ™”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ๊ต๋Ÿ‰ ์œ ์ง€๋ณด์ˆ˜ ๋ฐ ๊ฒ€์‚ฌํŒ€:ย Table 1์˜ ๋ฐ์ดํ„ฐ๋Š” ๋น„์›ํ˜• ๊ต๊ฐ์ด ๊ฒฝ์‚ฌ๊ฐ์— ๋งค์šฐ ๋ฏผ๊ฐํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ด๋Š” ํ•˜์ฒœ์˜ ์œ ๋กœ ๋ณ€๊ฒฝ ๋“ฑ์œผ๋กœ ์ธํ•ด ๊ต๊ฐ๊ณผ ์œ ๋™ ๋ฐฉํ–ฅ์˜ ์ •๋ ฌ์ด ํ‹€์–ด์งˆ ๊ฒฝ์šฐ ์„ธ๊ตด ์œ„ํ—˜์ด ๊ธ‰์ฆํ•  ์ˆ˜ ์žˆ์Œ์„ ์˜๋ฏธํ•˜๋ฏ€๋กœ, ์ •๊ธฐ์ ์ธ ๊ฒ€์‚ฌ ์‹œ ์œ ๋™ ๋ฐฉํ–ฅ์˜ ๋ณ€ํ™”๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๋Š” ์ƒˆ๋กœ์šด ๊ธฐ์ค€์„ ๋งˆ๋ จํ•˜๋Š” ๋ฐ ์ฐธ๊ณ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ๊ตฌ์กฐ ์„ค๊ณ„ ์—”์ง€๋‹ˆ์–ด:ย ํƒ ๋ค ๋ฐฐ์—ด ์‹คํ—˜ ๊ฒฐ๊ณผ(Table 2)๋Š” ๊ธฐ์กด ๊ต๋Ÿ‰ ์ธ๊ทผ์— ์‹ ๊ทœ ๊ต๋Ÿ‰์„ ๊ฑด์„คํ•  ๋•Œ ์œ ์šฉํ•œ ์„ค๊ณ„ ๋ฐ์ดํ„ฐ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๊ธฐ์กด ์›ํ˜• ๊ต๊ฐ์˜ ์ƒ๋ฅ˜ 1.75D ์ง€์ ์— M3 ๊ต๊ฐ์„ ์„ค์น˜ํ•˜๋ฉด ๋‘ ๊ต๊ฐ ๋ชจ๋‘์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์„ธ๊ตด์„ ํšจ๊ณผ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๊ต๊ฐ์˜ ๋ฐฐ์น˜์™€ ํ˜•์ƒ์„ ์ตœ์ ํ™”ํ•˜์—ฌ ์ „์ฒด ๊ตฌ์กฐ๋ฌผ์˜ ์•ˆ์ •์„ฑ์„ ๋†’์ด๋Š” ๋ฐ ์ค‘์š”ํ•œ ๊ณ ๋ ค์‚ฌํ•ญ์ด ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋…ผ๋ฌธ ์ •๋ณด


Local Scour around Different-Shaped Bridge Piers

1. ๊ฐœ์š”:

  • ์ œ๋ชฉ:ย Local Scour around Different-Shaped Bridge Piers
  • ์ €์ž:ย Siva K. Reddy, Sruthi T. Kalathil, Venu Chandra
  • ๋ฐœํ–‰ ์—ฐ๋„:ย 2024
  • ๋ฐœํ–‰ ํ•™์ˆ ์ง€/ํ•™ํšŒ:ย Civil Engineering Journal
  • ํ‚ค์›Œ๋“œ:ย Scour Control; Pier Shape; Skewed Piers; Tandem Piers; Scour Depth Prediction; M5 Model.

2. ์ดˆ๋ก:

๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์€ ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ์ฃผ์š” ์›์ธ์ด๋ฉฐ, ๊ทธ ์˜ˆ์ธก์€ ์•ˆ์ „ํ•œ ์„ค๊ณ„๋ฅผ ์œ„ํ•ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์›ํ˜• ๊ต๊ฐ์— ๋น„ํ•ด ๊ตญ๋ถ€ ์„ธ๊ตด์„ ์ค„์ผ ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ •๋œ ๊ต๊ฐ ํ˜•์ƒ์„ ์‹๋ณ„ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ๋˜ํ•œ, ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์„ ์œ„ํ•ด M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ๋ฌธํ—Œ์— ์žˆ๋Š” ๊ธฐ์กด ๋ฐฉ์ •์‹๊ณผ ๋น„๊ตํ•œ๋‹ค. ๋”ฐ๋ผ์„œ, ๋™์ผํ•œ ๋‹จ๋ฉด์ ์„ ๊ฐ€์ง„ ์„ธ ๊ฐ€์ง€ ๊ต๊ฐ ๋ชจ๋ธ์„ ๋‹จ์ผ ๋ฐ ํƒ ๋ค ๋ฐฐ์—ด๋กœ ๋ฐฐ์น˜ํ•˜์—ฌ ์ฒญ์ˆ˜ ์กฐ๊ฑด์—์„œ ๊ต๊ฐ ํ˜•์ƒ๊ณผ ์ •๋ ฌ์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‹คํ—˜์ ์œผ๋กœ ์กฐ์‚ฌํ•œ๋‹ค. ์ด๋“ค์€ ์›ํ˜•(M1)๊ณผ ๋‘ ๊ฐ€์ง€ ์ˆ˜์ •๋œ ๊ต๊ฐ ํ˜•์ƒ(M2, M3)์œผ๋กœ, M2๋Š” ๋ฐ˜์›๊ณผ ์‚ผ๊ฐํ˜•์˜ ์กฐํ•ฉ์œผ๋กœ ์–‘๋ฐฉํ–ฅ(M2a, M2b)์œผ๋กœ ๋ฐฐ์น˜๋˜์—ˆ๊ณ , M3๋Š” M2a์— ๋ฐ˜์›ํ˜• ๋์— ์ž‘์€ ๋Œ์ถœ๋ถ€๋ฅผ ์ถ”๊ฐ€ํ•œ ๊ฒƒ์ด๋‹ค. ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ์ •๋ ฌ๋œ(๊ฒฝ์‚ฌ๊ฐ, ฮฑ = 0ยฐ) M2a, M2b, M3 ๊ต๊ฐ์˜ ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด๋Š” M1 ๊ต๊ฐ์— ๋น„ํ•ด ๊ฐ๊ฐ 23.5%, 50%, 55% ๊ฐ์†Œํ–ˆ์ง€๋งŒ, ฮฑ > 0ยฐ์ผ ๋•Œ๋Š” ๊ทธ๋ ‡์ง€ ์•Š์•˜๋‹ค. ํƒ ๋ค ๋ฐฐ์—ด์—์„œ๋Š” M1๊ณผ M2a๊ฐ€ X = 1.0D(X๋Š” ๊ต๊ฐ ๊ฐ„ ์ˆœ ๊ฐ„๊ฒฉ, D๋Š” ๊ต๊ฐ ์ง๊ฒฝ)์ผ ๋•Œ, ๊ทธ๋ฆฌ๊ณ  M3์™€ M1์ด ๊ฐ๊ฐ ์ „๋ฉด ๋ฐ ํ›„๋ฉด ๊ต๊ฐ์œผ๋กœ X = 1.75D์— ๋ฐฐ์น˜๋˜์—ˆ์„ ๋•Œ ๊ฐ€์žฅ ์ ์€ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ๊ฐœ๋ฐœ๋œ M5 ๋ชจ๋ธ์€ ๊ธฐ์กด ๋ฐฉ์ •์‹์— ๋น„ํ•ด ๋” ์ •ํ™•ํ•œ ๊ฒƒ์œผ๋กœ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ์œ ๋™ ๊ฐ•๋„(V/Vc)์™€ ฮฑ๋Š” ๊ฐ๊ฐ ํƒ ๋ค ๋ฐ ๋‹จ์ผ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์— ๋” ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค.

3. ์„œ๋ก :

๊ต๋Ÿ‰์€ ๊ตญ๊ฐ€ ๊ตํ†ต ์‹œ์Šคํ…œ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ๊ต๋Ÿ‰ ๋ถ•๊ดด๋Š” ๊ด‘๋ฒ”์œ„ํ•œ ์‚ฌํšŒ๊ฒฝ์ œ์  ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์žฌ์•™์ ์ธ ์‚ฌ๊ฑด์ด๋‹ค. ๋ฏธ๊ตญ์—์„œ๋Š” ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ 45%๊ฐ€ ๊ทน์‹ฌํ•œ ํ™์ˆ˜์™€ ๊ตญ๋ถ€ ์„ธ๊ตด๊ณผ ๊ฐ™์€ ์ˆ˜๋ฆฌํ•™์  ์‚ฌ๊ฑด์œผ๋กœ ์ธํ•ด ๋ฐœ์ƒํ–ˆ๋‹ค. ๊ต๊ฐ์— ์˜ํ•œ ํ•˜์ฒœ ํ๋ฆ„์˜ ๋ฐฉํ•ด๋Š” ์ƒ๋ฅ˜ ์ธก์˜ ํ•˜๊ฐ• ํ๋ฆ„๊ณผ ๊ด€๋ จ๋œ ๋ง๊ตฝ ์™€๋ฅ˜์™€ ํ๋ฆ„ ๋ถ„๋ฆฌ๋กœ ์ธํ•œ ๊ต๊ฐ ๋’ค์˜ ํ›„๋ฅ˜ ์™€๋ฅ˜์˜ ๋ฐœ๋‹ฌ์„ ์•ผ๊ธฐํ•œ๋‹ค. ์™€๋ฅ˜ ์‹œ์Šคํ…œ๊ณผ ํ‡ด์ ์ธต์˜ ์ƒํ˜ธ์ž‘์šฉ์€ ํ•˜์ƒ ์ „๋‹จ ์‘๋ ฅ์„ ์ฆ๊ฐ€์‹œํ‚ค๊ณ  ๊ต๊ฐ ๋ถ€๊ทผ์˜ ํ‡ด์ ๋ฌผ์„ ์ œ๊ฑฐํ•˜๋Š”๋ฐ, ์ด๋ฅผ ๊ตญ๋ถ€ ์„ธ๊ตด์ด๋ผ ์ •์˜ํ•œ๋‹ค. ๊ต๊ฐ ์ฃผ๋ณ€์˜ ํ•˜์ƒ์„ ๋‚ฎ์ถ”๋Š” 3์ฐจ์› ๋‚œ๋ฅ˜์žฅ์˜ ํฌ๊ธฐ๋Š” ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ์ด๋Š” ๊ต๊ฐ์˜ ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ, ํ๋ฆ„ ํŠน์„ฑ, ํ‡ด์ ๋ฌผ ํŠน์„ฑ์— ์˜ํ•ด ์˜ํ–ฅ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ๋‹ค. ๊ต๋Ÿ‰ ๊ต๊ฐ ๊ธฐ์ดˆ ์ฃผ๋ณ€์˜ ๊ณผ๋„ํ•œ ์„ธ๊ตด์€ ๊ตฌ์กฐ์  ๋ถˆ์•ˆ์ •๊ณผ ๋ถ•๊ดด๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋‹ค. ๊ต๋Ÿ‰ ๊ต๊ฐ์˜ ์ •ํ™•ํ•œ ์„ธ๊ตด ๊นŠ์ด ์ถ”์ •๊ณผ ๊ทธ ๊ธฐ์ดˆ์˜ ์ ์ ˆํ•œ ์„ค๊ณ„๋Š” ๊ต๋Ÿ‰์„ ๋ณดํ˜ธํ•˜๊ธฐ ์œ„ํ•ด ์ค‘์š”ํ•˜๋ฉฐ ์กฐ์‚ฌ๋  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.

4. ์—ฐ๊ตฌ ์š”์•ฝ:

์—ฐ๊ตฌ ์ฃผ์ œ์˜ ๋ฐฐ๊ฒฝ:

๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์€ ๊ต๋Ÿ‰์˜ ๊ตฌ์กฐ์  ์•ˆ์ •์„ฑ์„ ์œ„ํ˜‘ํ•˜๋Š” ์‹ฌ๊ฐํ•œ ๋ฌธ์ œ์ด๋‹ค. ์„ธ๊ตด์˜ ์ •๋„๋Š” ๊ต๊ฐ์˜ ํฌ๊ธฐ, ํ˜•์ƒ, ์œ ๋™์— ๋Œ€ํ•œ ๋ฐฉํ–ฅ ๋“ฑ ์—ฌ๋Ÿฌ ์š”์ธ์— ์˜ํ•ด ๊ฒฐ์ •๋œ๋‹ค. ๋”ฐ๋ผ์„œ ์•ˆ์ „ํ•˜๊ณ  ๊ฒฝ์ œ์ ์ธ ๊ต๋Ÿ‰ ์„ค๊ณ„๋ฅผ ์œ„ํ•ด์„œ๋Š” ์„ธ๊ตด์„ ์ค„์ผ ์ˆ˜ ์žˆ๋Š” ์ œ์–ด ๋ฉ”์ปค๋‹ˆ์ฆ˜๊ณผ ์ˆ˜์ •๋œ ๊ต๊ฐ ํ˜•์ƒ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ•„์ˆ˜์ ์ด๋‹ค.

์ด์ „ ์—ฐ๊ตฌ ํ˜„ํ™ฉ:

์ง€๋‚œ 60๋…„๊ฐ„ ๊ต๊ฐ ์„ธ๊ตด ๋ฐ ์ œ์–ด ๊ธฐ๋ฒ•์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํžˆ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์€ ์›ํ˜•, ์ง์‚ฌ๊ฐํ˜•, ํƒ€์›ํ˜• ๋“ฑ ์ „ํ†ต์ ์ธ ํ˜•์ƒ์˜ ๊ต๊ฐ์ด ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ฃผ๋กœ ๋‹ค๋ฃจ์—ˆ๋‹ค. ์œ ์„ ํ˜• ๊ต๊ฐ์ด ์„ธ๊ตด ์ €๊ฐ์— ํšจ๊ณผ์ ์ด๋ผ๋Š” ๊ฒƒ์€ ์•Œ๋ ค์ ธ ์žˆ์œผ๋‚˜, ๋Œ€๋ถ€๋ถ„์˜ ์—ฐ๊ตฌ๋Š” ์œ ๋™ ๋ฐฉํ–ฅ๊ณผ ์ •๋ ฌ๋œ ์ถ•๋ฅ˜ ์กฐ๊ฑด์— ํ•œ์ •๋˜์—ˆ์œผ๋ฉฐ, ๊ฒฝ์‚ฌ๊ฐ(skew angle)์ด ์žˆ์„ ๊ฒฝ์šฐ ๊ทธ ํšจ๊ณผ๊ฐ€ ๊ฐ์†Œํ•˜๋Š” ๋ฌธ์ œ์ ์ด ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๊ธฐ์กด์˜ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก ๊ณต์‹๋“ค์€ ๋น„์„ ํ˜•์ ์ธ ์„ธ๊ตด ํ˜„์ƒ์„ ์ •ํ™•ํžˆ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ์ตœ๊ทผ M5 ๋ชจ๋ธ๊ณผ ๊ฐ™์€ ๋จธ์‹ ๋Ÿฌ๋‹ ๊ธฐ๋ฒ•์ด ์›ํ˜• ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์— ํ™œ์šฉ๋˜๊ธฐ ์‹œ์ž‘ํ–ˆ์œผ๋‚˜, ๋‹ค์–‘ํ•œ ํ˜•์ƒ์˜ ๊ต๊ฐ์— ํŠนํ™”๋œ ๋ชจ๋ธ ๊ฐœ๋ฐœ์€ ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค.

์—ฐ๊ตฌ ๋ชฉ์ :

๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๊ธฐ์กด ์›ํ˜• ๊ต๊ฐ๋ณด๋‹ค ๊ตญ๋ถ€ ์„ธ๊ตด์„ ํšจ๊ณผ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ํ˜•์ƒ์˜ ๊ต๊ฐ์„ ์‹๋ณ„ํ•˜๊ณ , ์œ ๋™ ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ์ •๋ ฌ ๋ฐ ๊ฒฝ์‚ฌ๊ฐ์˜ ์˜ํ–ฅ์„ ์‹คํ—˜์ ์œผ๋กœ ์กฐ์‚ฌํ•œ๋‹ค. 2. ๋‹ค์–‘ํ•œ ๊ต๊ฐ ๋ชจ๋ธ๊ณผ ๊ฐ„๊ฒฉ ์กฐํ•ฉ์„ ๊ฐ€์ง„ ํƒ ๋ค(์ง๋ ฌ) ๋ฐฐ์—ด ๊ต๊ฐ์˜ ์ƒํ˜ธ ๊ฐ„์„ญ ํšจ๊ณผ๋ฅผ ์—ฐ๊ตฌํ•œ๋‹ค. 3. ์‹คํ—˜ ๋ฐ ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ํ˜•์ƒ์˜ ๋‹จ์ผ ๋ฐ ํƒ ๋ค ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๋Š” M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ณ , ๊ทธ ์ •ํ™•์„ฑ์„ ๊ธฐ์กด ์˜ˆ์ธก์‹๊ณผ ๋น„๊ตํ•œ๋‹ค.

ํ•ต์‹ฌ ์—ฐ๊ตฌ:

๋ณธ ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ์€ ๋™์ผํ•œ ๋‹จ๋ฉด์ ์„ ๊ฐ€์ง„ ์›ํ˜•(M1) ๋ฐ ๋‘ ๊ฐ€์ง€ ์ˆ˜์ •๋œ ํ˜•์ƒ(M2, M3)์˜ ๊ต๊ฐ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ฒญ์ˆ˜ ์กฐ๊ฑด ํ•˜์—์„œ ์ˆ˜๋ฆฌ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•œ ๊ฒƒ์ด๋‹ค. ๋‹จ์ผ ๊ต๊ฐ ์‹คํ—˜์—์„œ๋Š” ๊ฒฝ์‚ฌ๊ฐ์˜ ์˜ํ–ฅ์„, ํƒ ๋ค ๊ต๊ฐ ์‹คํ—˜์—์„œ๋Š” ๊ต๊ฐ ํ˜•์ƒ ์กฐํ•ฉ๊ณผ ๊ฐ„๊ฒฉ์˜ ์˜ํ–ฅ์„ ์ง‘์ค‘์ ์œผ๋กœ ๋ถ„์„ํ–ˆ๋‹ค. ์ด ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ๋ณต์žกํ•œ ์„ธ๊ตด ํ˜„์ƒ์„ ๋ณด๋‹ค ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” M5 ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ๊ฒ€์ฆํ•˜์˜€๋‹ค.

5. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก 

์—ฐ๊ตฌ ์„ค๊ณ„:

๋ณธ ์—ฐ๊ตฌ๋Š” ์‹คํ—˜์‹ค ์ˆ˜๋ฆฌ ์‹คํ—˜์„ ํ†ตํ•ด ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๊ธธ์ด 8.0m, ํญ 1.0m, ๊นŠ์ด 1.0m์˜ ์œ ๋ฆฌ๋ฒฝ ์ˆ˜๋กœ์—์„œ ์›ํ˜• ๊ต๊ฐ(M1)๊ณผ ๋‘ ๊ฐ€์ง€ ์ˆ˜์ •๋œ ๊ต๊ฐ(M2, M3)์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‹จ์ผ ๋ฐ ํƒ ๋ค ๋ฐฐ์—ด ์กฐ๊ฑด์—์„œ ์„ธ๊ตด ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ–ˆ๋‹ค. ๋‹จ์ผ ๊ต๊ฐ์˜ ๊ฒฝ์šฐ 8๊ฐ€์ง€ ๋‹ค๋ฅธ ๊ฒฝ์‚ฌ๊ฐ(0ยฐ~45ยฐ)์„ ์ ์šฉํ–ˆ๊ณ , ํƒ ๋ค ๊ต๊ฐ์˜ ๊ฒฝ์šฐ 7๊ฐ€์ง€ ๋‹ค๋ฅธ ๊ต๊ฐ ์กฐํ•ฉ(T1~T7)๊ณผ 7๊ฐ€์ง€ ๋‹ค๋ฅธ ๊ฐ„๊ฒฉ(0.5D~2.5D)์„ ์ ์šฉํ•˜์—ฌ ์‹คํ—˜ํ–ˆ๋‹ค.

๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•:

์„ธ๊ตด ๊นŠ์ด๋Š” 2mm ์ง๊ฒฝ์˜ ๋””์ง€ํ„ธ ํฌ์ธํŠธ ๊ฒŒ์ด์ง€(์ •ํ™•๋„ ยฑ0.5mm)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ธก์ •ํ–ˆ๋‹ค. ์‹คํ—˜ ์ดˆ๊ธฐ 1์‹œ๊ฐ„ ๋™์•ˆ์€ 5๋ถ„ ๊ฐ„๊ฒฉ์œผ๋กœ, ์ดํ›„์—๋Š” 30๋ถ„ ๊ฐ„๊ฒฉ์œผ๋กœ ์ธก์ •ํ•˜์—ฌ ์‹œ๊ฐ„์  ๋ณ€ํ™”๋ฅผ ๊ธฐ๋กํ–ˆ๋‹ค. ํ‰ํ˜• ์ƒํƒœ ๋„๋‹ฌ ํ›„ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ธก์ •ํ•˜๊ณ  ์‚ฌ์ง„์œผ๋กœ ๊ธฐ๋กํ–ˆ๋‹ค. ์ˆ˜์ง‘๋œ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ๋Š” M5 ์˜์‚ฌ๊ฒฐ์ • ํŠธ๋ฆฌ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ํ…Œ์ŠคํŠธํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ๋ชจ๋ธ์˜ ์ •ํ™•๋„๋Š” ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ), ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE), ๋ถˆ์ผ์น˜ ๋น„์œจ(DR)๊ณผ ๊ฐ™์€ ํ†ต๊ณ„ ์ง€ํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ‰๊ฐ€๋˜์—ˆ๋‹ค.

์—ฐ๊ตฌ ์ฃผ์ œ ๋ฐ ๋ฒ”์œ„:

์—ฐ๊ตฌ๋Š” ์ฒญ์ˆ˜(clear-water) ์„ธ๊ตด ์กฐ๊ฑด ํ•˜์—์„œ ๋น„์ ์ฐฉ์„ฑ ๊ท ์ผ ํ‡ด์ ๋ฌผ(d50=0.56mm)์„ ๋Œ€์ƒ์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ ๋ฒ”์œ„๋Š” ๋‹ค์Œ์„ ํฌํ•จํ•œ๋‹ค: – ๋‹จ์ผ ๊ต๊ฐ: ๊ต๊ฐ ํ˜•์ƒ(M1, M2a, M2b, M3)๊ณผ ๊ฒฝ์‚ฌ๊ฐ(ฮฑ)์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ. – ํƒ ๋ค ๊ต๊ฐ: ๊ต๊ฐ ํ˜•์ƒ ์กฐํ•ฉ, ๋ฐฉํ–ฅ ๋ฐ ๊ต๊ฐ ๊ฐ„ ์ˆœ ๊ฐ„๊ฒฉ(X/D)์ด ์ƒํ˜ธ ๊ฐ„์„ญ ๋ฐ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ. – ์„ธ๊ตด ์˜ˆ์ธก: ์‹คํ—˜ ๋ฐ ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋‹จ์ผ ๋ฐ ํƒ ๋ค ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ M5 ๋ชจ๋ธ ๊ฐœ๋ฐœ ๋ฐ ๊ฒ€์ฆ.

6. ์ฃผ์š” ๊ฒฐ๊ณผ:

์ฃผ์š” ๊ฒฐ๊ณผ:

  • ์ •๋ ฌ๋œ(ฮฑ=0ยฐ) ์ˆ˜์ • ๊ต๊ฐ M2a, M2b, M3๋Š” ์›ํ˜• ๊ต๊ฐ M1์— ๋น„ํ•ด ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๊ฐ๊ฐ 23.5%, 50%, 55% ๊ฐ์†Œ์‹œ์ผฐ๋‹ค.
  • ๋น„์›ํ˜• ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด๋Š” ๊ฒฝ์‚ฌ๊ฐ(ฮฑ)์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ํฌ๊ฒŒ ์ฆ๊ฐ€ํ–ˆ์œผ๋ฉฐ, ํŠนํžˆ 5ยฐ ์ด์ƒ์˜ ๊ฒฝ์‚ฌ๊ฐ์—์„œ ๋ฏผ๊ฐํ•˜๊ฒŒ ๋ฐ˜์‘ํ–ˆ๋‹ค.
  • ํƒ ๋ค ๋ฐฐ์—ด์—์„œ, ํ›„๋ฉด ๊ต๊ฐ์„ M2a๋กœ ๊ต์ฒดํ•˜๊ณ  ๊ฐ„๊ฒฉ์„ 1.0D๋กœ ํ–ˆ์„ ๋•Œ ์ „๋ฉด ๊ต๊ฐ์˜ ์„ธ๊ตด์ด 31.37% ๊ฐ์†Œํ–ˆ๋‹ค.
  • ํƒ ๋ค ๋ฐฐ์—ด์—์„œ, ์ „๋ฉด ๊ต๊ฐ์„ M3๋กœ ๊ต์ฒดํ•˜๊ณ  ๊ฐ„๊ฒฉ์„ 1.75D๋กœ ํ–ˆ์„ ๋•Œ ํ›„๋ฉด ์›ํ˜• ๊ต๊ฐ์˜ ์„ธ๊ตด์ด 22.73% ๊ฐ์†Œํ–ˆ๋‹ค.
  • ๋‹จ์ผ ๊ต๊ฐ ์˜ˆ์ธก์„ ์œ„ํ•ด ๊ฐœ๋ฐœ๋œ M5 ๋ชจ๋ธ์€ ํ…Œ์ŠคํŠธ ๋ฐ์ดํ„ฐ์…‹์—์„œ Rยฒ=0.837, RMSE=0.625๋ฅผ ๊ธฐ๋กํ•˜์—ฌ ๊ธฐ์กด 5๊ฐœ ํšŒ๊ท€ ๋ฐฉ์ •์‹๋ณด๋‹ค ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์˜€๋‹ค.
  • ํƒ ๋ค ๊ต๊ฐ ์˜ˆ์ธก M5 ๋ชจ๋ธ ๋˜ํ•œ ์ „๋ฉด ๊ต๊ฐ(Rยฒ=0.961)๊ณผ ํ›„๋ฉด ๊ต๊ฐ(Rยฒ=0.953) ๋ชจ๋‘์—์„œ ๋งค์šฐ ๋†’์€ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ๋ณด์˜€๋‹ค.
  • ๋ฏผ๊ฐ๋„ ๋ถ„์„ ๊ฒฐ๊ณผ, ๋‹จ์ผ ๊ต๊ฐ์—์„œ๋Š” ๊ฒฝ์‚ฌ๊ฐ(ฮฑ)์ด, ํƒ ๋ค ๊ต๊ฐ์—์„œ๋Š” ์œ ๋™ ๊ฐ•๋„(V/Vc)๊ฐ€ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ˆ˜๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

Figure ๋ชฉ๋ก:

  • Figure 1. Flowchart of the research methodology
  • Figure 2. Schematic diagram of the experimental setup
  • Figure 3. Diagram showing: (a) pier models; and (b) different tandem arrangements
  • Figure 4. Photographs of (a) experimental setup and (b) scour hole around the circular pier (M1)
  • Figure 5. Structure of an M5 model tree
  • Figure 6. Temporal variation of H* for isolated piers
  • Figure 7. Equilibrium scour hole around M2a pier with a = 45ยฐ
  • Figure 8. Skew factor, Ka vs. pier skew angle, a
  • Figure 9. Variation of H* for different X/D in the tandem arrangement of circular piers
  • Figure 10. Scour hole around M3 and M1 piers placed in tandem arrangement (T7) at X/D = 1.25
  • Figure 11. M5 model for predicting scour depth (hs/D) around isolated piers
  • Figure 12. Scatter plots of measured vs. predicted scour depths (hs/D) during: (a) training; and (b) testing
  • Figure 13. Comparison of M5 model results with regression equations using the testing dataset
  • Figure 14. Box plot for residual errors on hs/D prediction using the testing dataset
  • Figure 15. M5 models for predicting scour depth (hs/D) around tandem piers: (a) front pier (hsf/D); and (b) rear pier (hsr/D)
  • Figure 16. Scatter plots of measured vs. predicted scour depths at the front pier (hsf/D) during: (a) training; (b) testing
  • Figure 17. Scatter plots of measured vs. predicted scour depths at the rear pier (hsr/D) during: (a) training; (b) testing

7. ๊ฒฐ๋ก :

๋ณธ ์‹คํ—˜ ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ ๋ฐœ๊ฒฌ์€ ๊ตญ๋ถ€ ์„ธ๊ตด์„ ์ค„์ด๋Š” ๋Œ€์•ˆ์ ์ธ ๊ต๊ฐ ํ˜•์ƒ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹จ์ผ ๊ต๊ฐ์„ ์œ ๋™ ๋ฐฉํ–ฅ์— ๋Œ€ํ•ด ์ •๋ ฌ ๋ฐ ๊ฒฝ์‚ฌ์ง€๊ฒŒ ํ…Œ์ŠคํŠธํ–ˆ์ง€๋งŒ, ํƒ ๋ค ๋ฐฐ์—ด์˜ ๊ต๊ฐ์€ ๊ฒฝ์‚ฌ ์—†์ด ํ…Œ์ŠคํŠธํ–ˆ๋‹ค. ์ฒญ์ˆ˜ ์‹คํ—˜ ๊ฒฐ๊ณผ, ๊ต๊ฐ ํ˜•์ƒ๊ณผ ์ •๋ ฌ์ด ์„ธ๊ตด ์†๋„์™€ ๊นŠ์ด์— ์ƒ๋‹นํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ˆ˜์ •๋œ ํ˜•์ƒ์˜ ๊ต๊ฐ ๋ชจ๋ธ์€ ๊ธฐ์กด ์›ํ˜• ๊ต๊ฐ์— ๋น„ํ•ด ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ 55%๊นŒ์ง€ ์ค„์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ฒฝ์‚ฌ๊ฐ์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์„ธ๊ตด ๊นŠ์ด๋„ ์ฆ๊ฐ€ํ–ˆ๋‹ค. 30ยฐ ๊ฒฝ์‚ฌ๊ฐ ์ด์ƒ์—์„œ๋Š” ์ˆ˜์ •๋œ ํ˜•์ƒ์˜ ๊ต๊ฐ์ด ์ ‘๊ทผ ํ๋ฆ„์— ๋Œ€ํ•œ ์œ ํšจ ํญ ์ฆ๊ฐ€๋กœ ์ธํ•ด ๊ทธ ํšจ๊ณผ๋ฅผ ์žƒ์—ˆ๋‹ค. ํƒ ๋ค ๋ฐฐ์—ด์—์„œ ์›ํ˜• ๊ต๊ฐ์„ ์ˆ˜์ •๋œ ํ˜•์ƒ์˜ ๊ต๊ฐ์œผ๋กœ ๊ต์ฒดํ•˜๋ฉด ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ๊ฐ์†Œํ–ˆ์ง€๋งŒ, ์„ธ๊ตด ๊ฐ์†Œ๋Š” ๊ต๊ฐ์˜ ํ˜•์ƒ, ๋ฐฉํ–ฅ ๋ฐ ๊ต๊ฐ ๊ฐ„์˜ ์ˆœ ๊ฐ„๊ฒฉ์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์กŒ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๊ธฐ์กด ์›ํ˜• ๊ต๊ฐ์ด ์žˆ๋Š” ๊ต๋Ÿ‰ ๊ทผ์ฒ˜์— ์ƒˆ๋กœ์šด ๊ต๋Ÿ‰์„ ๊ฑด์„คํ•  ๋•Œ ๊ต๊ฐ ํ˜•์ƒ์„ ๊ฒฐ์ •ํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋œ๋‹ค. ํ‡ด์ ๋ฌผ ํฌ๊ธฐ(d50/D), ์ˆ˜์‹ฌ(h/D), ์œ ๋™ ๊ฐ•๋„(V/Vc), ๊ต๊ฐ ํ˜•์ƒ ๊ณ„์ˆ˜(Ks), ๊ต๊ฐ ์ข…ํšก๋น„(L/D), ๊ฒฝ์‚ฌ๊ฐ(ฮฑ), ๊ต๊ฐ ๊ฐ„๊ฒฉ(X/D)์ด M5 ๋ชจ๋ธ ๊ฐœ๋ฐœ์— ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ์ด ๋ชจ๋ธ๋“ค์€ ๋‹จ์ผ ๋ฐ ํƒ ๋ค ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด(hs/D)๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•œ๋‹ค. ๋‹จ์ผ ๊ต๊ฐ์˜ ๊ฒฝ์šฐ, M5 ๋ชจ๋ธ์€ 5๊ฐœ์˜ ํšŒ๊ท€ ๋ฐฉ์ •์‹๋ณด๋‹ค ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ ๋” ํฐ ์‹ ๋ขฐ์„ฑ์„ ์ œ๊ณตํ•œ๋‹ค. ๋ฏผ๊ฐ๋„ ๋ถ„์„ ๊ฒฐ๊ณผ, ฮฑ์™€ V/Vc๊ฐ€ ๊ฐ๊ฐ ๋‹จ์ผ ๋ฐ ํƒ ๋ค ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์— ๊ฐ€์žฅ ์˜ํ–ฅ๋ ฅ ์žˆ๋Š” ๋งค๊ฐœ๋ณ€์ˆ˜์ž„์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋น„๊ท ์ผ ๊ต๊ฐ์ด๋‚˜ ๋ง๋š ๊ธฐ์ดˆ๊ฐ€ ์žˆ๋Š” ๊ต๊ฐ๊ณผ ๊ฐ™์€ ๋” ๋ณต์žกํ•œ ๊ต๋Ÿ‰ ๊ต๊ฐ ๊ธฐํ•˜ํ•™์œผ๋กœ ํ™•์žฅ๋  ์ˆ˜ ์žˆ๋‹ค.

8. ์ฐธ๊ณ ๋ฌธํ—Œ:

  • [1] Choudhury, J. R., & Hasnat, A. (2015, August). Bridge collapses around the world: Causes and mechanisms. IABSE-JSCE joint conference on advances in bridge engineering-III, 21-22 August, 2015, Dhaka, Bangladesh.
  • [2] Najafzadeh, M., & Oliveto, G. (2021). More reliable predictions of clear-water scour depth at pile groups by robust artificial intelligence techniques while preserving physical consistency. Soft Computing, 25, 5723-5746. doi:10.1007/s00500-020-05567-3.
  • [3] Kashmoola, A., Ismael, A., & Suleiman, S. (2019). Comparison of Bridge Piers Shapes According to Local Scour Countermeasures. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 6, 171-180.
  • [4] Oliveto, G., & Hager, W. H. (2005). Further Results to Time-Dependent Local Scour at Bridge Elements. Journal of Hydraulic Engineering, 131(2), 97-105. doi:10.1061/(asce)0733-9429(2005)131:2(97).
  • [5] Pandey, M., Oliveto, G., Pu, J. H., Sharma, P. K., & Ojha, C. S. P. (2020). Pier scour prediction in non-uniform gravel beds. Water (Switzerland), 12(6), 1696. doi:10.3390/W12061696.
  • (์ดํ•˜ ์ƒ๋žต)

์ „๋ฌธ๊ฐ€ Q&A: ์ฃผ์š” ์งˆ๋ฌธ๊ณผ ๋‹ต๋ณ€

Q1: ์—ฐ๊ตฌ์—์„œ M2์™€ M3๋ผ๋Š” ํŠน์ • ์ˆ˜์ • ํ˜•์ƒ์„ ์„ ํƒํ•œ ์ด์œ ๋Š” ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

A1: ์—ฐ๊ตฌ์˜ ์ฃผ๋œ ๋ชฉ์  ์ค‘ ํ•˜๋‚˜๋Š” ํ˜•์ƒ์˜ ํšจ๊ณผ๋งŒ์„ ๋ถ„๋ฆฌํ•˜์—ฌ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ธฐ์ค€์ด ๋˜๋Š” ์›ํ˜• ๊ต๊ฐ(M1)๊ณผ ๋™์ผํ•œ ๋‹จ๋ฉด์ ์„ ๊ฐ–๋„๋ก M2์™€ M3๋ฅผ ์„ค๊ณ„ํ–ˆ์Šต๋‹ˆ๋‹ค. M2๋Š” ์œ ์„ ํ˜• ํšจ๊ณผ๋ฅผ ์ฃผ๊ธฐ ์œ„ํ•ด ๋ฐ˜์›๊ณผ ์‚ผ๊ฐํ˜•์„ ๊ฒฐํ•ฉํ•œ ํ˜•ํƒœ์ด๋ฉฐ, M3๋Š” M2์˜ ์œ ์„ ํ˜• ์„ฑ๋Šฅ์„ ๋”์šฑ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•ด ๋ฐ˜์›ํ˜• ์ „๋ฉด์— ์ž‘์€ ๋Œ์ถœ๋ถ€๋ฅผ ์ถ”๊ฐ€ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์„ค๊ณ„๋Š” ํ˜•์ƒ ๋ณ€ํ™”๊ฐ€ ์œ ๋™ ๊ตฌ์กฐ์™€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ช…ํ™•ํžˆ ๋น„๊ต ๋ถ„์„ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•ด์ค๋‹ˆ๋‹ค.

Q2: M5 ๋ชจ๋ธ์ด ๋” ์ •ํ™•ํ•˜๋‹ค๊ณ  ํ•˜์ง€๋งŒ, Figure 12๋ฅผ ๋ณด๋ฉด ์ผ๋ถ€ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•ด ๊ณผ์†Œ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๋ณด์ž…๋‹ˆ๋‹ค. ๊ทธ ์›์ธ์€ ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

A2: ๋…ผ๋ฌธ์— ๋”ฐ๋ฅด๋ฉด, M5 ๋ชจ๋ธ์€ ํŠน์ • ๋ฌธํ—Œ(Al-Shukur and Obeid, Fael et al. ๋“ฑ)์˜ ์ผ๋ถ€ ๋ฐ์ดํ„ฐ ํฌ์ธํŠธ์— ๋Œ€ํ•ด ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๊ณผ์†Œ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€์Šต๋‹ˆ๋‹ค. ๋ฐ˜๋Œ€๋กœ, ๋‚ฎ์€ ๊ฒฝ์‚ฌ๊ฐ(0-10ยฐ)์„ ๊ฐ€์ง„ ์ผ๋ถ€ ํ˜•์ƒ(์ง์‚ฌ๊ฐํ˜•, ๋ชจ๋”ฐ๊ธฐ ๋“ฑ)์— ๋Œ€ํ•ด์„œ๋Š” ๊ณผ๋Œ€ ์˜ˆ์ธกํ•˜๊ธฐ๋„ ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” M5 ๋ชจ๋ธ์ด ์ „๋ฐ˜์ ์œผ๋กœ๋Š” ์šฐ์ˆ˜ํ•˜์ง€๋งŒ, ํŠน์ • ๊ต๊ฐ ํ˜•์ƒ์ด๋‚˜ ์œ ๋™ ์กฐ๊ฑด์˜ ์กฐํ•ฉ์—์„œ๋Š” ์˜ˆ์ธก ์ •ํ™•๋„๊ฐ€ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์Œ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ์„ธ๊ตด ํ˜„์ƒ์˜ ๋ณต์žก์„ฑ์„ ๋ณด์—ฌ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ, ๋ชจ๋ธ์˜ ํ•œ๊ณ„๋ฅผ ์ธ์ง€ํ•˜๊ณ  ํŠน์ • ์กฐ๊ฑด์— ์ ์šฉํ•  ๋•Œ ์ฃผ์˜๊ฐ€ ํ•„์š”ํ•จ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

Q3: ํƒ ๋ค ๊ต๊ฐ ๋ฐฐ์—ด์—์„œ ๋ฐœ๊ฒฌ๋œ ‘์ž„๊ณ„ ๊ฐ„๊ฒฉ(critical spacing)’์˜ ์‹ค์งˆ์ ์ธ ์ค‘์š”์„ฑ์€ ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

A3: Figure 9์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด, ์ž„๊ณ„ ๊ฐ„๊ฒฉ์€ ๊ต๊ฐ ๊ฐ„์˜ ๋ณต์žกํ•œ ์ˆ˜๋ฆฌํ•™์  ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ์ธํ•ด ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ์ตœ๋Œ€ ๋˜๋Š” ์ตœ์†Œ๊ฐ€ ๋˜๋Š” ์ง€์ ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, d50=0.56mm ๋ชจ๋ž˜ ์กฐ๊ฑด์—์„œ๋Š” ๊ต๊ฐ ๊ฐ„๊ฒฉ์ด 1.75D๊ฐ€ ๋  ๋•Œ๊นŒ์ง€ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ๊ฐ์†Œํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ์ž„๊ณ„ ๊ฐ„๊ฒฉ์€ ๊ต๊ฐ์„ ๊ทผ์ ‘ํ•˜์—ฌ ๋ฐฐ์น˜ํ•ด์•ผ ํ•  ๊ฒฝ์šฐ, ์„ธ๊ตด ์œ„ํ—˜์„ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ์ ์˜ ์ด๊ฒฉ ๊ฑฐ๋ฆฌ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ํ•ต์‹ฌ์ ์ธ ์„ค๊ณ„ ๋ณ€์ˆ˜์ด๋ฏ€๋กœ ์‹ค์งˆ์ ์œผ๋กœ ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค.

Q4: ์ˆ˜์ •๋œ ๊ต๊ฐ์ด ๊ฒฝ์‚ฌ๊ฐ์— ๋ฐ›๋Š” ์˜ํ–ฅ์€ ๊ธฐ์กด์˜ ์ง์‚ฌ๊ฐํ˜• ๊ต๊ฐ๊ณผ ๋น„๊ตํ–ˆ์„ ๋•Œ ์–ด๋А ์ •๋„ ์ฐจ์ด๊ฐ€ ์žˆ์Šต๋‹ˆ๊นŒ?

A4: Figure 8์€ ์ˆ˜์ •๋œ ๊ต๊ฐ๋“ค์˜ ๊ฒฝ์‚ฌ๊ฐ ๊ณ„์ˆ˜(Ka)๋ฅผ Laursen & Toch์˜ ์ง์‚ฌ๊ฐํ˜• ๊ต๊ฐ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๊ทธ๋ž˜ํ”„๋ฅผ ๋ณด๋ฉด, ๊ฒฝ์‚ฌ๊ฐ์— ๋Œ€ํ•œ Ka ๊ฐ’์˜ ๋ฏผ๊ฐ๋„๋Š” ์ง์‚ฌ๊ฐํ˜• ๊ต๊ฐ์—์„œ ํ›จ์”ฌ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ๊ต๊ฐ ์ข…ํšก๋น„(L/D)๊ฐ€ 4์ธ ์ง์‚ฌ๊ฐํ˜• ๊ต๊ฐ์˜ ๊ฒฝ์šฐ ๊ฒฝ์‚ฌ๊ฐ์ด ์ปค์งˆ์ˆ˜๋ก Ka ๊ฐ’์ด ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆ๋œ ์ˆ˜์ • ํ˜•์ƒ๋“ค์ด ํ‘œ์ค€์ ์ธ ์ง์‚ฌ๊ฐํ˜• ๊ต๊ฐ๋ณด๋‹ค ์œ ๋™ ๋ฐฉํ–ฅ ๋ณ€ํ™”์— ๋Œ€ํ•ด ๋” ๊ฐ•๊ฑดํ•œ(robust) ์„ฑ๋Šฅ์„ ๋ณด์ธ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.

Q5: ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฒญ์ˆ˜(clear-water) ์กฐ๊ฑด์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์‹ค์ œ ํ•˜์ฒœ๊ณผ ๊ฐ™์€ ์ด๋™์ƒ(live-bed) ์กฐ๊ฑด์—์„œ๋Š” ๊ฒฐ๊ณผ๊ฐ€ ์–ด๋–ป๊ฒŒ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

A5: ๋ณธ ๋…ผ๋ฌธ์€ ์ด๋™์ƒ ์„ธ๊ตด ์กฐ๊ฑด์„ ์ง์ ‘ ๋‹ค๋ฃจ์ง€๋Š” ์•Š์•˜์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ฒญ์ˆ˜ ์„ธ๊ตด์€ ์ž ์žฌ์ ์œผ๋กœ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ์กฐ๊ฑด์ž…๋‹ˆ๋‹ค. ์ด๋™์ƒ ์กฐ๊ฑด์—์„œ๋Š” ์ƒ๋ฅ˜๋กœ๋ถ€ํ„ฐ ํ‡ด์ ๋ฌผ์ด ์ง€์†์ ์œผ๋กœ ๊ณต๊ธ‰๋˜๋ฏ€๋กœ ์„ธ๊ตด ๊ตฌ๋ฉ์ด ๋ถ€๋ถ„์ ์œผ๋กœ ๋‹ค์‹œ ์ฑ„์›Œ์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ํ‰ํ˜• ์ƒํƒœ์˜ ์„ธ๊ตด ๊นŠ์ด๋Š” ์ฒญ์ˆ˜ ์กฐ๊ฑด๋ณด๋‹ค ์–•์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿผ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๊ต๊ฐ ํ˜•์ƒ์ด ์œ ๋™์žฅ์— ๋ฏธ์น˜๋Š” ๊ทผ๋ณธ์ ์ธ ์˜ํ–ฅ(์™€๋ฅ˜ ํ˜•์„ฑ, ์œ ๋™ ๋ฐ•๋ฆฌ ๋“ฑ)์€ ์—ฌ์ „ํžˆ ์ค‘์š”ํ•˜๊ฒŒ ์ž‘์šฉํ•  ๊ฒƒ์ด๋ฏ€๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋‚˜ํƒ€๋‚œ ํ˜•์ƒ ๊ฐ„์˜ ์ƒ๋Œ€์ ์ธ ์„ธ๊ตด ์ €๊ฐ ํšจ๊ณผ๋Š” ์ด๋™์ƒ ์กฐ๊ฑด์—์„œ๋„ ์œ ์‚ฌํ•œ ๊ฒฝํ–ฅ์„ ๋ณด์ผ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


๊ฒฐ๋ก : ๋” ๋†’์€ ํ’ˆ์งˆ๊ณผ ์ƒ์‚ฐ์„ฑ์„ ์œ„ํ•œ ๊ธธ

๊ต๊ฐ ์ฃผ๋ณ€์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ต๊ฐ ์„ธ๊ตด์€ ๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ ์œ„ํ˜‘ํ•˜๋Š” ์ง€์†์ ์ธ ๊ณผ์ œ์ž…๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ˆ˜์ •๋œ ๊ต๊ฐ ํ˜•์ƒ์„ ํ†ตํ•ด ๊ตญ๋ถ€ ์„ธ๊ตด์„ ์ตœ๋Œ€ 55%๊นŒ์ง€ ํš๊ธฐ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ์Œ์„ ์‹คํ—˜์ ์œผ๋กœ ์ž…์ฆํ–ˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ๋ณต์žกํ•œ ์ˆ˜๋ฆฌ ํ˜„์ƒ์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์—ฌ ๊ธฐ์กด ์˜ˆ์ธก์‹์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ณ , ๋” ์‹ ๋ขฐ์„ฑ ๋†’์€ ์„ค๊ณ„ ๊ธฐ๋ฐ˜์„ ๋งˆ๋ จํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ฑ์„ ๋†’์ด๊ณ  ์œ ์ง€๋ณด์ˆ˜ ๋น„์šฉ์„ ์ ˆ๊ฐํ•˜๋Š” ๋ฐ ์ง์ ‘์ ์œผ๋กœ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ์‹ค์งˆ์ ์ธ ํ†ต์ฐฐ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

(์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””์—์„œ๋Š” ๊ณ ๊ฐ์ด ์ˆ˜์น˜ํ•ด์„์„ ์ง์ ‘ ์ˆ˜ํ–‰ํ•˜๊ณ  ์‹ถ์ง€๋งŒ ๊ฒฝํ—˜์ด ์—†๊ฑฐ๋‚˜, ์‹œ๊ฐ„์ด ์—†์–ด์„œ ์šฉ์—ญ์„ ํ†ตํ•ด ์ˆ˜์น˜ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ์–ป๊ณ ์ž ํ•˜๋Š” ๊ฒฝ์šฐ ์ „๋ฌธ ์—”์ง€๋‹ˆ์–ด๋ฅผ ํ†ตํ•ด CFD consulting services๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ท€ํ•˜๊ป˜์„œ ๋‹น๋ฉดํ•˜๊ณ  ์žˆ๋Š” ์—ฐ๊ตฌํ”„๋กœ์ ํŠธ๋ฅผ ์ตœ์†Œ์˜ ๋น„์šฉ์œผ๋กœ, ์ตœ์ ์˜ ํ•ด๊ฒฐ๋ฐฉ์•ˆ์„ ์ฐพ์„ ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

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์ €์ž‘๊ถŒ ์ •๋ณด

  • ์ด ์ฝ˜ํ…์ธ ๋Š” “Siva K. Reddy” ์™ธ ์ €์ž์˜ ๋…ผ๋ฌธ “Local Scour around Different-Shaped Bridge Piers”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์š”์•ฝ ๋ฐ ๋ถ„์„ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค.
  • ์ถœ์ฒ˜: http://dx.doi.org/10.28991/CEJ-2024-010-06-019

๋ณธ ์ž๋ฃŒ๋Š” ์ •๋ณด ์ œ๊ณต ๋ชฉ์ ์œผ๋กœ๋งŒ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋ฌด๋‹จ ์ƒ์—…์  ์‚ฌ์šฉ์„ ๊ธˆ์ง€ํ•ฉ๋‹ˆ๋‹ค. Copyright ยฉ 2025 STI C&D. All rights reserved.

Table 1 Information and results of laboratory experiments

๊ต๊ฐ-๊ต๋Œ€ ๊ทผ์ ‘ ์ƒํ˜ธ์ž‘์šฉ์ด ๊ต๋Ÿ‰ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ: ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด 171% ์ฆ๊ฐ€์˜ ๋น„๋ฐ€

์ด ๊ธฐ์ˆ  ์š”์•ฝ์€ Mohammad Saeed Fakhimjoo ์™ธ ์ €์ž๊ฐ€ 2023๋…„ ๋ฐœํ‘œํ•œ ํ•™์ˆ  ๋…ผ๋ฌธ “Experimental investigation and flow analysis of clear-water scour around pier and abutment in proximity”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, STI C&D์—์„œ ๊ธฐ์ˆ  ์ „๋ฌธ๊ฐ€๋ฅผ ์œ„ํ•ด ๋ถ„์„ํ•˜๊ณ  ์š”์•ฝํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ‚ค์›Œ๋“œ

  • Primary Keyword:ย ๊ต๋Ÿ‰ ์„ธ๊ตด ๋ถ„์„
  • Secondary Keywords:ย CFD, ์ˆ˜์น˜ ์œ ์ฒด ์—ญํ•™, ๊ต๊ฐ ์„ธ๊ตด, ๊ต๋Œ€ ์„ธ๊ตด, ํ๋ฆ„ ๋ถ„์„, ์ˆ˜๋ฆฌ ์‹คํ—˜

Executive Summary

  • ๋„์ „ ๊ณผ์ œ:ย ๊ต๋Ÿ‰์˜ ๊ต๊ฐ๊ณผ ๊ต๋Œ€๊ฐ€ ์„œ๋กœ ๊ทผ์ ‘ํ•ด ์žˆ์„ ๋•Œ ๋ฐœ์ƒํ•˜๋Š” ๋ณตํ•ฉ์ ์ธ ์„ธ๊ตด ํ˜„์ƒ์€ ๊ธฐ์กด์˜ ๊ฐœ๋ณ„ ๋ถ„์„ ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ์ •ํ™•ํžˆ ์˜ˆ์ธกํ•˜๊ธฐ ์–ด๋ ต์Šต๋‹ˆ๋‹ค.
  • ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•:ย ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ๊ต๊ฐ(3์ข…)๊ณผ ๊ต๋Œ€(2์ข…) ์กฐํ•ฉ์„ ์‚ฌ์šฉํ•˜์—ฌ, ์ด๋“ค ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ๋ฅผ ๋ณ€๊ฒฝํ•˜๋ฉฐ ์ˆ˜๋ฆฌ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜๊ณ , ์Œํ–ฅ ๋„ํ”Œ๋Ÿฌ ์œ ์†๊ณ„(ADV)๋กœ 3์ฐจ์› ์œ ๋™์žฅ์„ ์ •๋ฐ€ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ํ•ต์‹ฌ ๋ฐœ๊ฒฌ:ย ๊ต๊ฐ์ด ๊ต๋Œ€ ๊ฐ€๊นŒ์ด ์žˆ์„ ๋•Œ ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” ์ตœ๋Œ€ 19% ์ฆ๊ฐ€์— ๊ทธ์ณค์ง€๋งŒ, ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” ์ตœ๋Œ€ 171%๊นŒ์ง€ ํญ๋ฐœ์ ์œผ๋กœ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ํ•ต์‹ฌ ๊ฒฐ๋ก :ย ๊ต๋Ÿ‰ ์„ค๊ณ„ ์‹œ ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ๊ฐœ๋ณ„ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๋‹จ์ˆœํžˆ ๋”ํ•˜๋Š” ๋ฐฉ์‹์€ ๊ต๊ฐ์˜ ์œ„ํ—˜์„ฑ์„ ์‹ฌ๊ฐํ•˜๊ฒŒ ๊ณผ์†Œํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋‘ ๊ตฌ์กฐ๋ฌผ์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ๋ฐ˜๋“œ์‹œ ๊ณ ๋ คํ•œย ๊ต๋Ÿ‰ ์„ธ๊ตด ๋ถ„์„์ด ํ•„์ˆ˜์ ์ž…๋‹ˆ๋‹ค.

๋„์ „ ๊ณผ์ œ: CFD ์ „๋ฌธ๊ฐ€์—๊ฒŒ ์ด ์—ฐ๊ตฌ๊ฐ€ ์ค‘์š”ํ•œ ์ด์œ 

๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์›์ธ ์ค‘ ํ•˜๋‚˜๋Š” ๊ธฐ์ดˆ ์ฃผ๋ณ€์˜ ํ™์ด ๋ฌผ์˜ ํ๋ฆ„์— ์˜ํ•ด ์นจ์‹๋˜๋Š” ‘์„ธ๊ตด(scour)’ ํ˜„์ƒ์ž…๋‹ˆ๋‹ค. ์ง€๊ธˆ๊นŒ์ง€ ์ˆ˜๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ๋‹จ์ผ ๊ต๊ฐ์ด๋‚˜ ๋‹จ์ผ ๊ต๋Œ€ ์ฃผ๋ณ€์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ตญ๋ถ€ ์„ธ๊ตด์— ์ดˆ์ ์„ ๋งž์ถฐ์™”์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹ค์ œ ๊ต๋Ÿ‰ ๊ตฌ์กฐ๋ฌผ์—์„œ๋Š” ๊ต๊ฐ๊ณผ ๊ต๋Œ€๊ฐ€ ๊ทผ์ ‘ํ•˜์—ฌ ์„œ๋กœ์˜ ์œ ๋™์žฅ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ์ƒํ˜ธ์ž‘์šฉ์„ ๋ฌด์‹œํ•˜๊ณ  ๊ฐ๊ฐ์˜ ๊ตฌ์กฐ๋ฌผ์— ๋Œ€ํ•œ ์„ธ๊ตด ์˜ˆ์ธก ๊ณต์‹์„ ๊ทธ๋Œ€๋กœ ์ ์šฉํ•  ๊ฒฝ์šฐ, ์‹ค์ œ ๋ฐœ์ƒํ•˜๋Š” ์„ธ๊ตด์˜ ๊นŠ์ด๋‚˜ ๋ฒ”์œ„๋ฅผ ์˜ˆ์ธกํ•˜์ง€ ๋ชปํ•ด ๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ฑ์„ ์‹ฌ๊ฐํ•˜๊ฒŒ ์œ„ํ˜‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ๋‘ ๊ตฌ์กฐ๋ฌผ ์‚ฌ์ด์˜ ์ข์€ ๊ณต๊ฐ„์—์„œ ์œ ์†์ด ์–ด๋–ป๊ฒŒ ๋ณ€ํ•˜๊ณ , ์™€๋ฅ˜(vortex)๊ฐ€ ์–ด๋–ป๊ฒŒ ๊ฐ•ํ™”๋˜๋Š”์ง€์— ๋Œ€ํ•œ ์ •๋ณด๊ฐ€ ๋ถ€์กฑํ•˜์—ฌ, ์—”์ง€๋‹ˆ์–ด๋“ค์€ “๊ณผ์—ฐ ์šฐ๋ฆฌ์˜ ์„ค๊ณ„๊ฐ€ ์•ˆ์ „ํ•œ๊ฐ€?”๋ผ๋Š” ๊ทผ๋ณธ์ ์ธ ๋ฌธ์ œ์— ์ง๋ฉดํ•ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋ฐ”๋กœ ์ด ์ง€์‹์˜ ๊ณต๋ฐฑ์„ ๋ฉ”์šฐ๊ธฐ ์œ„ํ•ด ์‹œ์ž‘๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

Table 1
Information and results of laboratory experiments
Table 1 Information and results of laboratory experiments

์—ฐ๊ตฌ ์ ‘๊ทผ๋ฒ•: ๋ฐฉ๋ฒ•๋ก  ๋ถ„์„

๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธธ์ด 14m, ํญ 1m, ๋†’์ด 1m์˜ ์ง์‚ฌ๊ฐํ˜• ์‹คํ—˜ ์ˆ˜๋กœ์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์‹ค์ œ ํ•˜์ฒœ๊ณผ ์œ ์‚ฌํ•œ ์กฐ๊ฑด์„ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด d50=0.88mm์˜ ๊ท ์ผํ•œ ๋ชจ๋ž˜๋ฅผ ๋ฐ”๋‹ฅ ์žฌ๋ฃŒ๋กœ ์‚ฌ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค.

์‹คํ—˜์—๋Š” ์‹ค์ œ ๊ต๋Ÿ‰ ๊ตฌ์กฐ๋ฌผ์„ ์ถ•์†Œํ•œ ํˆฌ๋ช… ํ”Œ๋ ‰์‹œ๊ธ€๋ผ์Šค ๋ชจ๋ธ์ด ์‚ฌ์šฉ๋˜์—ˆ์œผ๋ฉฐ, ์ฃผ์š” ๋ณ€์ˆ˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

  • ๊ต๊ฐ ์œ ํ˜• (3๊ฐ€์ง€):ย ๋‘ฅ๊ทผ ๋ชจ์„œ๋ฆฌ ์‚ฌ๊ฐํ˜• ๊ต๊ฐ(R), ์›ํ†ตํ˜• ๊ต๊ฐ 3๊ฐœ ๊ทธ๋ฃน(G), ๋‹จ์ผ ์›ํ†ตํ˜• ๊ต๊ฐ(S)
  • ๊ต๋Œ€ ์œ ํ˜• (2๊ฐ€์ง€):ย ๋‚ ๊ฐœ๋ฒฝ ๊ต๋Œ€(W), ๋ฐ˜์›ํ˜• ๊ต๋Œ€(C)
  • ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ (X):ย ๊ต๊ฐ ์ง๊ฒฝ(D)์˜ 1.5๋ฐฐ, 3.0๋ฐฐ, 6.0๋ฐฐ๋กœ ์„ค์ •

์ด 18๊ฐœ์˜ ์ฃผ์š” ์‹คํ—˜๊ณผ 5๊ฐœ์˜ ๋Œ€์กฐ๊ตฐ ์‹คํ—˜(๊ฐœ๋ณ„ ๊ต๊ฐ ๋˜๋Š” ๊ต๋Œ€)์ด ์ง„ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ฐ ์‹คํ—˜์€ 27์‹œ๊ฐ„ ๋™์•ˆ ์ง„ํ–‰ํ•˜์—ฌ ์„ธ๊ตด์ด ํ‰ํ˜• ์ƒํƒœ์˜ 80% ์ด์ƒ์— ๋„๋‹ฌํ•˜๋„๋ก ํ–ˆ์Šต๋‹ˆ๋‹ค. ์œ ๋™์žฅ ๋ถ„์„์„ ์œ„ํ•ด 25Hz SonTek ์Œํ–ฅ ๋„ํ”Œ๋Ÿฌ ์œ ์†๊ณ„(ADV)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ 3์ฐจ์› ์œ ์†์„ ์ •๋ฐ€ํ•˜๊ฒŒ ์ธก์ •ํ–ˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์œ ์„ , ์œ ์† ๋ถ„ํฌ, ์ˆ˜์ง ์œ ์†, ๋ฐ”๋‹ฅ ์ „๋‹จ ์‘๋ ฅ ๋“ฑ์„ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ•ต์‹ฌ ๋ฐœ๊ฒฌ: ์ฃผ์š” ๊ฒฐ๊ณผ ๋ฐ ๋ฐ์ดํ„ฐ

๊ฒฐ๊ณผ 1: ๊ต๊ฐ ์ฃผ๋ณ€ ์„ธ๊ตด ๊นŠ์ด์˜ ํญ๋ฐœ์ ์ธ ์ฆ๊ฐ€

๊ต๊ฐ์ด ๊ต๋Œ€ ๊ฐ€๊นŒ์ด ์œ„์น˜ํ•  ๋•Œ, ๊ต๊ฐ ์ž์ฒด์˜ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ๊ทน์ ์œผ๋กœ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์˜ ๊ทธ๋ฆผ 7(b)๋Š” ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์‚ฌ์ด์˜ ์ƒ๋Œ€ ๊ฑฐ๋ฆฌ(X/D)์— ๋”ฐ๋ฅธ ๊ต๊ฐ์˜ ์ƒ๋Œ€ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด(dsp/dsp0) ๋ณ€ํ™”๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

๊ฐ€์žฅ ์ฃผ๋ชฉํ•  ๋งŒํ•œ ๊ฒฐ๊ณผ๋Š” ๋‹จ์ผ ์›ํ†ตํ˜• ๊ต๊ฐ(S)๊ณผ ๋‚ ๊ฐœ๋ฒฝ ๊ต๋Œ€(W)๊ฐ€ ๊ฒฐํ•ฉ๋œ SWR1 ์‹คํ—˜(X/D = 1.5)์—์„œ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ์ด ์กฐ๊ฑด์—์„œ ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” ๋‹จ๋…์œผ๋กœ ์žˆ์„ ๋•Œ๋ณด๋‹ค 2.71๋ฐฐ(171%) ๋” ๊นŠ์–ด์กŒ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๊ต๋Œ€์—์„œ ๊ฐ€์†๋œ ํ๋ฆ„๊ณผ ๊ฐ•ํ•ด์ง„ ์™€๋ฅ˜๊ฐ€ ๊ต๊ฐ์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณ ์นจ์‹ ์ž‘์šฉ์„ ํฌ๊ฒŒ ๊ฐ•ํ™”ํ–ˆ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ๊ฑฐ๋ฆฌ๊ฐ€ ๋ฉ€์–ด์งˆ์ˆ˜๋ก(X/D โ‰ฅ 3.0) ์ด ํšจ๊ณผ๋Š” ๊ฐ์†Œํ–ˆ์ง€๋งŒ, ์—ฌ์ „ํžˆ ๋‹จ๋… ๊ต๊ฐ์— ๋น„ํ•ด ํ›จ์”ฌ ๊นŠ์€ ์„ธ๊ตด์ด ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

๊ฒฐ๊ณผ 2: ๊ต๋Œ€ ์ฃผ๋ณ€ ์„ธ๊ตด ๊นŠ์ด์— ๋ฏธ์น˜๋Š” ์ œํ•œ์  ์˜ํ–ฅ

๋ฐ˜๋ฉด, ๊ต๊ฐ์˜ ์กด์žฌ๊ฐ€ ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์ƒ๋Œ€์ ์œผ๋กœ ๋ฏธ๋ฏธํ–ˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์˜ ๊ทธ๋ฆผ 7(a)๋Š” ๊ต๋Œ€์˜ ์ƒ๋Œ€ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด(dsa/dsao) ๋ณ€ํ™”๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

๊ต๊ฐ๊ณผ ๊ต๋Œ€๊ฐ€ ๊ฐ€์žฅ ๊ฐ€๊นŒ์šด X/D = 1.5 ์กฐ๊ฑด์—์„œ๋„ ๊ต๋Œ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” ๋‹จ๋…์œผ๋กœ ์žˆ์„ ๋•Œ๋ณด๋‹ค ์ตœ๋Œ€ 19% ์ฆ๊ฐ€ํ•˜๋Š” ๋ฐ ๊ทธ์ณค์Šต๋‹ˆ๋‹ค. ๋Œ€๋ถ€๋ถ„์˜ ๊ฒฝ์šฐ ์ฆ๊ฐ€์œจ์€ 1%~7% ์ˆ˜์ค€์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์„ธ๊ตด์„ ์œ ๋ฐœํ•˜๋Š” ์ฃผ๋œ ์œ ๋™ ๊ตฌ์กฐ(ํ•˜๊ฐ•๋ฅ˜, ๋ง๊ตฝ ์™€๋ฅ˜)๊ฐ€ ์ฃผ๋กœ ๊ต๋Œ€ ์ƒ๋ฅ˜๋‹จ์—์„œ ํ˜•์„ฑ๋˜๋ฉฐ, ํ•˜๋ฅ˜ ์ธก์— ์œ„์น˜ํ•œ ๊ต๊ฐ์˜ ์˜ํ–ฅ์„ ๋œ ๋ฐ›๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ํ‘œ 1์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด, ์ „์ฒด ์„ธ๊ตด ๊ตฌ๋ฉ์˜ ๋ถ€ํ”ผ๋Š” ๊ต๊ฐ์ด ์ถ”๊ฐ€๋จ์— ๋”ฐ๋ผ ์ตœ๋Œ€ 87%๊นŒ์ง€ ์ฆ๊ฐ€ํ•˜์—ฌ ์นจ์‹ ๋ฒ”์œ„๊ฐ€ ํ›จ์”ฌ ๋„“์–ด์กŒ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

R&D ๋ฐ ์šด์˜์„ ์œ„ํ•œ ์‹ค์งˆ์  ์‹œ์‚ฌ์ 

  • ์ˆ˜๋ฆฌ/ํ† ๋ชฉ ์—”์ง€๋‹ˆ์–ด:ย ์ด ์—ฐ๊ตฌ๋Š” ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ๊ฐ€ ๋งค์šฐ ์ค‘์š”ํ•œ ์„ค๊ณ„ ๋ณ€์ˆ˜์ž„์„ ๋ช…ํ™•ํžˆ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆ๋œ ์ค‘์ฒฉ ์›๋ฆฌ ๊ธฐ๋ฐ˜์˜ ๊ฒฝํ—˜์‹(์‹ 3)๊ณผ ํšŒ๊ท€ ๋ถ„์„ ๊ธฐ๋ฐ˜์˜ ๊ฒฝํ—˜์‹(์‹ 4)์€ ๊ธฐ์กด์˜ ๋‹จ์ˆœ ํ•ฉ์‚ฐ ๋ฐฉ์‹๋ณด๋‹ค ํ›จ์”ฌ ์ •ํ™•ํ•˜๊ฒŒ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ๊ตฌ์กฐ ์•ˆ์ „์„ฑ ํ‰๊ฐ€ํŒ€:ย ๊ทธ๋ฆผ 7๊ณผย ํ‘œ 1์˜ ๋ฐ์ดํ„ฐ๋Š” ๊ต๊ฐ์ด ๊ต๋Œ€์— ๊ทผ์ ‘ํ• ์ˆ˜๋ก(ํŠนํžˆ X/D = 1.5) ๊ธฐ์ดˆ ์•ˆ์ •์„ฑ์„ ์œ„ํ˜‘ํ•˜๋Š” ์‹ฌ๊ฐํ•œ ์„ธ๊ตด์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Œ์„ ๊ฒฝ๊ณ ํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ์กด ๊ต๋Ÿ‰์˜ ์•ˆ์ „ ์ง„๋‹จ ์‹œ ์ด๋Ÿฌํ•œ ์œ„์น˜์˜ ๊ต๊ฐ์€ ์ตœ์šฐ์„  ์ ๊ฒ€ ๋Œ€์ƒ์ด ๋˜์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
  • ๊ต๋Ÿ‰ ์„ค๊ณ„ ์—”์ง€๋‹ˆ์–ด:ย ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๊ต๊ฐ/๊ต๋Œ€์˜ ํ˜•์ƒ๊ณผ ๋ฐฐ์น˜์— ๋”ฐ๋ผ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๋” ์ •๋ฐ€ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ํšŒ๊ท€ ๋ถ„์„์‹(์‹ 4)์„ ํ™œ์šฉํ•˜๋ฉด ์„ค๊ณ„ ์ดˆ๊ธฐ ๋‹จ๊ณ„์—์„œ๋ถ€ํ„ฐ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ๋” ์•ˆ์ „ํ•˜๊ณ  ๊ฒฝ์ œ์ ์ธ ๊ธฐ์ดˆ ์„ค๊ณ„๋ฅผ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋…ผ๋ฌธ ์ •๋ณด


Experimental investigation and flow analysis of clear-water scour around pier and abutment in proximity

1. ๊ฐœ์š”:

  • ์ œ๋ชฉ:ย Experimental investigation and flow analysis of clear-water scour around pier and abutment in proximity
  • ์ €์ž:ย Mohammad Saeed Fakhimjoo, Abdollah Ardeshir, Kourosh Behzadian, Hojat Karami
  • ๋ฐœํ–‰ ์—ฐ๋„:ย 2023 (๊ฒŒ์žฌ ์ €๋„ ์ •๋ณด๋Š” ๋…ผ๋ฌธ์— ๋ช…์‹œ๋˜์ง€ ์•Š์Œ)
  • ๋ฐœํ–‰ ํ•™์ˆ ์ง€/ํ•™ํšŒ:ย ์ •๋ณด ์—†์Œ
  • ํ‚ค์›Œ๋“œ:ย Abutment; ADV; Bridge scour; Laboratory experiment; Maximum scour depth; Pier

2. ์ดˆ๋ก:

๊ต๊ฐ ๋ฐ ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์€ ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์›์ธ ์ค‘ ํ•˜๋‚˜์ž…๋‹ˆ๋‹ค. ๊ฐœ๋ณ„ ๊ต๊ฐ ๋˜๋Š” ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์„ธ๊ตด์— ๋Œ€ํ•œ ์ˆ˜๋งŽ์€ ์—ฐ๊ตฌ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๊ทผ์ ‘ํ•œ ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ๊ณต๋™ ์˜ํ–ฅ์— ์ดˆ์ ์„ ๋งž์ถ˜ ์—ฐ๊ตฌ๋Š” ๊ฑฐ์˜ ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ์ƒํ˜ธ์ž‘์šฉ์ดๆธ…ๆฐด์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ์‹คํ—˜์‹ค ์‹คํ—˜๊ณผ ์œ ๋™ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค. ์‹คํ—˜์€ ์ง์‚ฌ๊ฐํ˜• ์‹คํ—˜ ์ˆ˜๋กœ์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ, 18๊ฐœ์˜ ์ฃผ์š” ์‹คํ—˜(๋‹ค์–‘ํ•œ ์œ ํ˜•์˜ ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์กฐํ•ฉ)๊ณผ 5๊ฐœ์˜ ๋Œ€์กฐ๊ตฐ ์‹คํ—˜(๊ฐœ๋ณ„ ๊ต๊ฐ ๋˜๋Š” ๊ต๋Œ€)์„ ํฌํ•จํ–ˆ์Šต๋‹ˆ๋‹ค. ์„ธ ์ข…๋ฅ˜์˜ ๊ต๊ฐ(๋‘ฅ๊ทผ ๋ชจ์„œ๋ฆฌ ์‚ฌ๊ฐํ˜• ๊ต๊ฐ, ์›ํ†ตํ˜• ๊ต๊ฐ 3๊ฐœ ๊ทธ๋ฃน, ๋‹จ์ผ ์›ํ†ตํ˜• ๊ต๊ฐ)๊ณผ ๋‘ ์ข…๋ฅ˜์˜ ๊ต๋Œ€(๋‚ ๊ฐœ๋ฒฝ ๊ต๋Œ€, ๋ฐ˜์›ํ˜• ๊ต๋Œ€)๊ฐ€ ์‚ฌ์šฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์Œํ–ฅ ๋„ํ”Œ๋Ÿฌ ์œ ์†๊ณ„(ADV)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์œ ์„ , ์œ ์† ํฌ๊ธฐ, ์ˆ˜์ง ์œ ์† ๋ฐ ๋ฐ”๋‹ฅ ์ „๋‹จ ์‘๋ ฅ ๋ถ„์„์„ ์œ„ํ•œ 3์ฐจ์› ์œ ๋™ ์†๋„๋ฅผ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ๊ทผ์ฒ˜์˜ ์œ ์†์€ ์ตœ๋Œ€ 80%๊นŒ์ง€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” ์ตœ๋Œ€ 19%๊นŒ์ง€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” ์ตœ๋Œ€ 171%๊นŒ์ง€ ํฌ๊ฒŒ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ต๋Œ€ ๋ถ€๊ทผ์— ๊ต๊ฐ์ด ์กด์žฌํ•จ์— ๋”ฐ๋ผ ๊ฐœ๋ณ„ ๊ต๋Œ€์˜ ๊ฒฝ์šฐ์— ๋น„ํ•ด ์„ธ๊ตด ๊ตฌ๋ฉ ๋ถ€ํ”ผ๊ฐ€ ์ตœ๋Œ€ 87%๊นŒ์ง€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ ๊ต๋Œ€์— ์ธ์ ‘ํ•œ ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•œ ๊ฒฝํ—˜์  ๋ฐฉ์ •์‹์ด ๋„์ถœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

3. ์„œ๋ก :

๊ต๋Ÿ‰ ์„ธ๊ตด์€ ๊ต๋Ÿ‰ ๊ธฐ์ดˆ๋กœ๋ถ€ํ„ฐ ํ•˜์ƒ์ด๋‚˜ ์ œ๋ฐฉ ๋ฌผ์งˆ์ด ์นจ์‹๋˜๊ฑฐ๋‚˜ ์ œ๊ฑฐ๋˜๋Š” ํ˜„์ƒ์ž…๋‹ˆ๋‹ค. ๊ต๊ฐ๊ณผ ๊ต๋Œ€์—์„œ์˜ ์„ธ๊ตด์€ ๊ตํ†ต ์ธํ”„๋ผ์˜ ์ฃผ์š” ๋ถ€๋ถ„์ธ ๊ต๋Ÿ‰์— ์ƒ๋‹นํ•œ ์†์ƒ์„ ์ดˆ๋ž˜ํ•˜๋Š” ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ๊ฐ€์žฅ ํฐ ์›์ธ ์ค‘ ํ•˜๋‚˜๋กœ ์ธ์‹๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์„ธ๊ตด์€ ๋ฏธ๊ตญ ์ „์ฒด ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ 60% ์ด์ƒ, ์˜๊ตญ์—์„œ๋Š” 70%์˜ ์ฃผ์š” ์›์ธ์ž…๋‹ˆ๋‹ค. ์ด์ „ ์—ฐ๊ตฌ๋“ค์€ ๊ต๊ฐ๊ณผ ๊ต๋Œ€์—์„œ์˜ ์„ธ๊ตด ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด ์œ ์‚ฌํ•˜๋‹ค๋Š” ๊ฒƒ์„ ์ฆ๋ช…ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผํ•˜๋Š” ํ๋ฆ„์ด ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ์ƒ๋ฅ˜ ์ธก์— ๋ถ€๋”ชํžˆ๋ฉด, ์œ ์†์ด ์ˆ˜์‹ฌ์„ ํ†ตํ•ด ๊ฐ์†Œํ•˜๋ฉด์„œ ์ •์ฒด ์••๋ ฅ์ด ๋ฐœ์ƒํ•˜์—ฌ ํ•˜๊ฐ•๋ฅ˜(downflow)๊ฐ€ ์ƒ๊ฒจ๋‚ฉ๋‹ˆ๋‹ค. ์ด ํ•˜๊ฐ•๋ฅ˜๋Š” ์ˆ˜ํ‰ ๋ง๊ตฝ ์™€๋ฅ˜์™€ ์ˆ˜์ง ํ›„๋ฅ˜ ์™€๋ฅ˜๋ฅผ ํ˜•์„ฑํ•˜๋ฉฐ, ์ด๊ฒƒ์ด ๊ตญ๋ถ€ ์นจ์‹์˜ ์ฃผ์š” ์›์ธ์ž…๋‹ˆ๋‹ค.

4. ์—ฐ๊ตฌ ์š”์•ฝ:

์—ฐ๊ตฌ ์ฃผ์ œ์˜ ๋ฐฐ๊ฒฝ:

๊ต๋Ÿ‰์˜ ์•ˆ์ •์„ฑ์€ ๊ธฐ์ดˆ๋ถ€์˜ ์„ธ๊ตด ํ˜„์ƒ์— ํฌ๊ฒŒ ์ขŒ์šฐ๋ฉ๋‹ˆ๋‹ค. ๋Œ€๋ถ€๋ถ„์˜ ์—ฐ๊ตฌ๋Š” ๊ต๊ฐ์ด๋‚˜ ๊ต๋Œ€๊ฐ€ ๋‹จ๋…์œผ๋กœ ์กด์žฌํ•  ๋•Œ์˜ ์„ธ๊ตด์— ์ง‘์ค‘ํ•ด์™”์œผ๋‚˜, ์‹ค์ œ๋กœ๋Š” ์ด ๋‘ ๊ตฌ์กฐ๋ฌผ์ด ๊ทผ์ ‘ํ•˜์—ฌ ์œ ์ฒด์—ญํ•™์  ์ƒํ˜ธ์ž‘์šฉ์„ ์ผ์œผํ‚ค๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ƒํ˜ธ์ž‘์šฉ์€ ์„ธ๊ตด์˜ ์ •๋„์™€ ํŒจํ„ด์„ ํฌ๊ฒŒ ๋ณ€ํ™”์‹œํ‚ฌ ์ˆ˜ ์žˆ์–ด ๊ต๋Ÿ‰ ์•ˆ์ „ ์„ค๊ณ„์— ์žˆ์–ด ์ค‘์š”ํ•œ ๊ณ ๋ ค์‚ฌํ•ญ์ž…๋‹ˆ๋‹ค.

์ด์ „ ์—ฐ๊ตฌ ํ˜„ํ™ฉ:

Oben-Nyarko์™€ Ettema(2011)๋Š” ๊ต๊ฐ์ด ๊ต๋Œ€ ๊ทผ์ฒ˜์— ์žˆ์„ ๋•Œ ๊ต๋Œ€ ์„ธ๊ตด ๊นŠ์ด์—๋Š” ๋ฏธ๋ฏธํ•œ ์˜ํ–ฅ์„ ์ฃผ์ง€๋งŒ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด๋Š” ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•  ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋ณด๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค. Saha ๋“ฑ(2018)์€ ๊ต๊ฐ์˜ ์กด์žฌ๊ฐ€ ์„ธ๊ตด ์œ„์น˜์—๋Š” ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์ง€๋งŒ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์•ฝ๊ฐ„ ๊ฐ์†Œ์‹œํ‚จ๋‹ค๊ณ  ๋ฐํ˜”์Šต๋‹ˆ๋‹ค. ์ด์ฒ˜๋Ÿผ ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์€ ์ƒ๋ฐ˜๋œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์ด๊ฑฐ๋‚˜, ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜์ง€ ์•Š๋Š” ๋“ฑ ์ œํ•œ์ ์ธ ์ •๋ณด๋งŒ์„ ์ œ๊ณตํ–ˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ๋‹ค์–‘ํ•œ ํ˜•์ƒ์˜ ๊ตฌ์กฐ๋ฌผ ์กฐํ•ฉ์— ๋Œ€ํ•œ ์ฒด๊ณ„์ ์ธ ๋ฐ์ดํ„ฐ์™€ ์œ ๋™์žฅ ๋ถ„์„์€ ๊ฑฐ์˜ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.

์—ฐ๊ตฌ ๋ชฉ์ :

๋ณธ ์—ฐ๊ตฌ๋Š” ๊ทผ์ ‘ํ•œ ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์‚ฌ์ด์˜ ์ƒํ˜ธ์ž‘์šฉ์ด ์„ธ๊ตด ๊นŠ์ด์™€ ์œ ๋™์žฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‹คํ—˜์ ์œผ๋กœ ๊ทœ๋ช…ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, ๋‹ค์–‘ํ•œ ํ˜•์ƒ๊ณผ ๋ฐฐ์น˜, ๊ทธ๋ฆฌ๊ณ  ๊ฑฐ๋ฆฌ์— ๋”ฐ๋ฅธ ์„ธ๊ตด ๊นŠ์ด์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” 3์ฐจ์› ์œ ๋™ ํŠน์„ฑ(์œ ์„ , ์œ ์†, ์ „๋‹จ ์‘๋ ฅ ๋“ฑ)์„ ์ธก์ •ํ•˜๊ณ ์ž ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ตœ์ข…์ ์œผ๋กœ๋Š” ์ด ์ƒํ˜ธ์ž‘์šฉ์„ ๊ณ ๋ คํ•˜์—ฌ ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๊ฒฝํ—˜์‹์„ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•ฉ๋‹ˆ๋‹ค.

ํ•ต์‹ฌ ์—ฐ๊ตฌ:

์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ์€ ์„ธ ๊ฐ€์ง€ ์œ ํ˜•์˜ ๊ต๊ฐ๊ณผ ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์˜ ๊ต๋Œ€๋ฅผ ์กฐํ•ฉํ•˜๊ณ , ์ด๋“ค ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ๋ฅผ ์„ธ ๊ฐ€์ง€(X/D = 1.5, 3.0, 6.0)๋กœ ๋ณ€๊ฒฝํ•˜๋ฉฐ ์ด 18๊ฐ€์ง€ ์กฐ๊ฑด์—์„œ ์„ธ๊ตด ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ์‹คํ—˜์—์„œ ADV๋ฅผ ์ด์šฉํ•ด 3์ฐจ์› ์œ ๋™์žฅ์„ ์ธก์ •ํ•˜์—ฌ, ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ์ƒํ˜ธ์ž‘์šฉ์ด ์œ ์„  ๋ถ„ํฌ, ์œ ์† ์ฆํญ, ์™€๋ฅ˜ ๊ตฌ์กฐ, ๊ทธ๋ฆฌ๊ณ  ๋ฐ”๋‹ฅ ์ „๋‹จ ์‘๋ ฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ถ„์„์„ ํ†ตํ•ด ๊ต๊ฐ ์ฃผ๋ณ€์—์„œ ์„ธ๊ตด์ด ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€ํ•˜๋Š” ๋ฌผ๋ฆฌ์  ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๋ฐํ˜”๊ณ , ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝํ—˜์‹์„ ๋„์ถœํ–ˆ์Šต๋‹ˆ๋‹ค.

5. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก 

์—ฐ๊ตฌ ์„ค๊ณ„:

๋ณธ ์—ฐ๊ตฌ๋Š” ์‹คํ—˜์‹ค ์ˆ˜์กฐ(flume)๋ฅผ ์ด์šฉํ•œ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ๋ง ์‹คํ—˜์œผ๋กœ ์„ค๊ณ„๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋Œ€์กฐ๊ตฐ(๊ฐœ๋ณ„ ๊ต๊ฐ/๊ต๋Œ€)๊ณผ ์‹คํ—˜๊ตฐ(๊ต๊ฐ+๊ต๋Œ€ ์กฐํ•ฉ)์„ ์„ค์ •ํ•˜์—ฌ, ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ๊ทผ์ ‘ ํšจ๊ณผ๋ฅผ ๋ช…ํ™•ํžˆ ๋น„๊ต ๋ถ„์„ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์š” ๋…๋ฆฝ ๋ณ€์ˆ˜๋Š” ๊ต๊ฐ ํ˜•์ƒ, ๊ต๋Œ€ ํ˜•์ƒ, ๊ทธ๋ฆฌ๊ณ  ๋‘˜ ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ(X/D)์ด๋ฉฐ, ์ข…์† ๋ณ€์ˆ˜๋Š” ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด(d_sp, d_sa), ์„ธ๊ตด๊ณต ๋ถ€ํ”ผ, ๊ทธ๋ฆฌ๊ณ  3์ฐจ์› ์œ ๋™ ํŠน์„ฑ์ž…๋‹ˆ๋‹ค.

๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•:

  • ์„ธ๊ตด ๊นŠ์ด ๋ฐ ์ง€ํ˜• ์ธก์ •:ย ๊ฐ ์‹คํ—˜ ์ข…๋ฃŒ ํ›„, ๋ฌผ์„ ์กฐ์‹ฌ์Šค๋Ÿฝ๊ฒŒ ๋ฐฐ์ˆ˜ํ•˜๊ณ  ยฑ1.5mm ์ •ํ™•๋„์˜ ๋ ˆ์ด์ € ๋ฏธํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด์™€ ์„ธ๊ตด๊ณต์˜ ์ „์ฒด ์ง€ํ˜•์„ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • 3์ฐจ์› ์œ ์† ์ธก์ •:ย ๋ฐ”๋‹ฅ์„ ์ˆ˜์ง€๋กœ ๊ณ ์ •ํ•˜์—ฌ ์„ธ๊ตด์ด ๋ฐœ์ƒํ•˜์ง€ ์•Š๋Š” ์กฐ๊ฑด์—์„œ, 25Hz SonTek ADV๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ 5๊ฐœ์˜ ๋‹ค๋ฅธ ์ˆ˜์‹ฌ์—์„œ ์ด 1,700 ์ง€์ ์˜ 3์ฐจ์› ์œ ์†์„ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ๋ฐ์ดํ„ฐ ๋ถ„์„:ย ์ธก์ •๋œ ์œ ์† ๋ฐ์ดํ„ฐ๋กœ๋ถ€ํ„ฐ ์œ ์„ (streamline), ์‹œ๊ฐ„ ํ‰๊ท  ์œ ์†, ์ˆ˜์ง ์œ ์†, ๊ทธ๋ฆฌ๊ณ  ๋ฐ”๋‹ฅ ์ „๋‹จ ์‘๋ ฅ์„ ๊ณ„์‚ฐํ•˜์—ฌ ์œ ๋™์žฅ์„ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋ฐ”๋‹ฅ ์ „๋‹จ ์‘๋ ฅ์€ Dey and Barbhuiya (2005b)๊ฐ€ ์‚ฌ์šฉํ•œ ๋ฐฉ์ •์‹์„ ํ†ตํ•ด ์‚ฐ์ถœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์—ฐ๊ตฌ ์ฃผ์ œ ๋ฐ ๋ฒ”์œ„:

๋ณธ ์—ฐ๊ตฌ๋Š” ์ฒญ์ˆ˜(clear-water) ์กฐ๊ฑด, ์ฆ‰ ์ƒ๋ฅ˜๋กœ๋ถ€ํ„ฐ ์œ ์‚ฌ์˜ ์œ ์ž…์ด ์—†๋Š” ์กฐ๊ฑด์—์„œ์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์— ์ดˆ์ ์„ ๋งž์ถฅ๋‹ˆ๋‹ค. ์—ฐ๊ตฌ ๋ฒ”์œ„๋Š” ์„ธ ๊ฐ€์ง€ ๊ต๊ฐ ํ˜•์ƒ(๋‘ฅ๊ทผ ๋ชจ์„œ๋ฆฌ ์‚ฌ๊ฐํ˜•, ์›ํ†ตํ˜• 3๊ฐœ ๊ทธ๋ฃน, ๋‹จ์ผ ์›ํ†ตํ˜•)๊ณผ ๋‘ ๊ฐ€์ง€ ๊ต๋Œ€ ํ˜•์ƒ(๋‚ ๊ฐœ๋ฒฝ, ๋ฐ˜์›ํ˜•)์˜ ์กฐํ•ฉ์œผ๋กœ ์ œํ•œ๋ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์‚ฌ์ด์˜ ์ƒ๋Œ€ ๊ฑฐ๋ฆฌ๋Š” 1.5, 3.0, 6.0์œผ๋กœ ํ•œ์ •ํ•˜์—ฌ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.

6. ์ฃผ์š” ๊ฒฐ๊ณผ:

์ฃผ์š” ๊ฒฐ๊ณผ:

  • ๊ต๊ฐ๊ณผ ๊ต๋Œ€๊ฐ€ ๊ทผ์ ‘ํ•  ๋•Œ, ๋‘ ๊ตฌ์กฐ๋ฌผ ์‚ฌ์ด์™€ ์ƒ๋ฅ˜ ์ธก์—์„œ ์œ ์†์ด ์ตœ๋Œ€ 80%๊นŒ์ง€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ๊ต๊ฐ์˜ ์กด์žฌ๋Š” ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด์— ๋ฏธ๋ฏธํ•œ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ๊ฐ€์žฅ ๊ฐ€๊นŒ์šด ๊ฑฐ๋ฆฌ(X/D=1.5)์—์„œ๋„ ์ตœ๋Œ€ 19% ์ฆ๊ฐ€์— ๊ทธ์ณค์Šต๋‹ˆ๋‹ค.
  • ๋ฐ˜๋ฉด, ๊ต๋Œ€์˜ ์กด์žฌ๋Š” ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ตœ๋Œ€ 171%๊นŒ์ง€ ๊ทน์ ์œผ๋กœ ์ฆ๊ฐ€์‹œ์ผฐ์œผ๋ฉฐ, ์ด ํšจ๊ณผ๋Š” ๋‘ ๊ตฌ์กฐ๋ฌผ์ด ๊ฐ€๊นŒ์šธ์ˆ˜๋ก ํ˜„์ €ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.
  • ๊ต๊ฐ์ด ์ถ”๊ฐ€๋จ์œผ๋กœ์จ ์ „์ฒด ์„ธ๊ตด๊ณต์˜ ๋ถ€ํ”ผ๋Š” ๊ฐœ๋ณ„ ๊ต๋Œ€๋งŒ ์žˆ์„ ๋•Œ์— ๋น„ํ•ด 12%์—์„œ 87%๊นŒ์ง€ ์ฆ๊ฐ€ํ•˜์—ฌ ์นจ์‹ ๋ฒ”์œ„๊ฐ€ ํฌ๊ฒŒ ํ™•๋Œ€๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  • ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ๊ฐœ๋ณ„ ๊ตฌ์กฐ๋ฌผ์˜ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ด์šฉํ•œ ์ค‘์ฒฉ ์›๋ฆฌ ๊ธฐ๋ฐ˜์˜ ์˜ˆ์ธก์‹(์‹ 3)๊ณผ ๊ตฌ์กฐ๋ฌผ ํ˜•์ƒ ๋ฐ ๊ฑฐ๋ฆฌ๋ฅผ ๋ณ€์ˆ˜๋กœ ํ•˜๋Š” ํšŒ๊ท€ ๋ถ„์„ ๊ธฐ๋ฐ˜์˜ ์˜ˆ์ธก์‹(์‹ 4)์„ ๊ฐœ๋ฐœํ–ˆ์œผ๋ฉฐ, ๋‘ ์‹ ๋ชจ๋‘ ๋†’์€ ์ •ํ™•๋„(Rยฒ > 0.86)๋กœ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ–ˆ์Šต๋‹ˆ๋‹ค.

๊ทธ๋ฆผ ๋ชฉ๋ก:

  • Fig. 1. Schematic side view (up) and plan view (down) of laboratory flume.
  • Fig. 2. Schematic representation of different shapes and dimensions of piers and abutments used in tests: (a) rectangular pier with rounded edge; (b) group of three cylindrical piers; (c) single cylinderial pier; (d) wing-wall abutment; (e) semi-circular abutment, and (f) definitions of D, La, and X.
  • Fig. 3. Near-bed streamlines for (a) an individual pier, (b) an individual abutment, and (c) a pier and an abutment in proximity with X/D = 3.
  • Fig. 4. Time-averaged velocity relative to upstream mean velocity (U/Umean) in different tests and at different depths: (a) individual pier at z/H = 0.033, (b) individual pier at z/H = 0.200, (c) individual pier at z/H = 0.500, (d) individual abutment at z/H = 0.033, (e) individual abutment at z/H = 0.200, (f) individual abutment at z/H = 0.500, (g) pier and abutment at z/H = 0.033, (h) pier and abutment at z/H = 0.200, and (i) pier and abutment at z/H = 0.500.
  • Fig. 5. Distributions of relative vertical velocities (w/Umean) at z/H = 0.2 for (a) individual pier, (b) individual abutment, and (c) pier and abutment in proximity at X/D = 3 (with a positive w value denoting velocity in upward direction).
  • Fig. 6. Relative near-bed shear stresses at z/H = 0.033 for tests: (a) individual pier, (b) individual abutment, and (c) pier and abutment in proximity.
  • Fig. 7. Relative maximum scour depths at abutment for various combinations of pier and abutment (a) and relative maximum scour depth at pier for various combinations of pier and abutment (b).
  • Fig. 8. Scour topographies of control tests for (a) wing-wall abutment and (b) semi-circular abutment (with circles representing locations of maximum scour depth at piers in main tests, dashed line A denoting location of upstream head of rounded rectangular pier and group of three piers, and dashed line B standing for location of the upstream head of single cylindrical pier).
  • Fig. 9. 3D views and contours of scour hole topographies of main tests SWS1, SWS2, and SWS3.
  • Fig. 10. Lateral cross-sections of scour holes for maximum scour depths around pier and abutment (at longitudinal reaches of x = 570.0 cm and 582.5 cm) with different relative distances from abutment (X/D = 1.5, 3.0, and 6.0) for main tests (a) SWS1, SWS2, SWS3, (b) SWG1, SWG2, SWG3, c) SWR1, SWR2, SWR3, d) SCS1, SCS2, SCS3, e) SCG1, SCG2, SCG3, f) SCR1, SCR2, SCR3.
  • Fig. 11. Comparison between measured and calculated scour depths using (a) Eq. (3) and Eq. (4).

7. ๊ฒฐ๋ก :

๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์–‘ํ•œ ํ˜•์ƒ๊ณผ ๋ฐฐ์น˜๋ฅผ ๊ฐ€์ง„ ๊ต๊ฐ๊ณผ ๊ต๋Œ€๊ฐ€ ๊ฒฐํ•ฉ๋˜์—ˆ์„ ๋•Œ ์ฒญ์ˆ˜ ์กฐ๊ฑด์—์„œ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด์™€ ์„ธ๊ตด ํŒจํ„ด์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ์‹คํ—˜์‹ค ํ…Œ์ŠคํŠธ๋ฅผ ์ˆ˜ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค. ์œ ์„ , ์œ ์†, ๋ฐ”๋‹ฅ ์ „๋‹จ ์‘๋ ฅ, ์„ธ๊ตด ์ง€ํ˜• ๋ฐ ์ธก๋ฉด ์„ธ๊ตด๊ณต ๋‹จ๋ฉด์„ ์ธก์ •ํ•˜๊ณ  ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์š” ๊ฒฐ๋ก ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค:

(1) ๊ต๊ฐ์ด ๊ต๋Œ€ ๊ทผ์ฒ˜์— ์œ„์น˜ํ•˜๋ฉด ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์œ ๋™ ํŠน์„ฑ์ด ๋ณ€ํ•˜๊ณ , ๊ต๋Œ€์— ์˜ํ•ด ์ƒ์„ฑ๋œ ์ฃผ ์™€๋ฅ˜๊ฐ€ ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์ฃผ๋ณ€์— ๋” ๊นŠ๊ณ  ๋„“์€ ์„ธ๊ตด๊ณต์„ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค. ๋†’์€ ์œ ์†์€ ๊ต๋Œ€ ์ƒ๋ฅ˜ ์ขŒ์ธก๊ณผ ๊ต๊ฐ์˜ ๋‘ ์˜์—ญ์— ๋‚˜ํƒ€๋‚˜ ๋” ๋„“์€ ์„ธ๊ตด๊ณต์„ ์œ ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. (2) ๊ต๋Œ€ ๋ถ€๊ทผ์— ๊ต๊ฐ์ด ์กด์žฌํ•˜๋”๋ผ๋„ ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด์—๋Š” ๋ฏธ๋ฏธํ•œ ์˜ํ–ฅ์„ ๋ฏธ์ณค์ง€๋งŒ, ์„ธ๊ตด๊ณต ๋ถ€ํ”ผ๋Š” ์ตœ๋Œ€ 87%๊นŒ์ง€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋Š” X/D = 1.5์ผ ๋•Œ ์•ฝ๊ฐ„ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. (3) ๊ต๋Œ€ ๊ทผ์ฒ˜์— ๊ต๊ฐ์ด ์กด์žฌํ•˜๋ฉด ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ํฌ๊ฒŒ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ต๊ฐ๊ณผ ๊ต๋Œ€ ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ๊ฐ€ ๊ฐ์†Œํ•˜๋ฉด, X/D=1.5์—์„œ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ์ตœ๋Œ€ 175%๊นŒ์ง€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. (4) ๊ฐœ๋ณ„ ๊ต๊ฐ๊ณผ ๊ฐœ๋ณ„ ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด์˜ ์ค‘์ฒฉ ์›๋ฆฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ, ๊ต๋Œ€์— ์ธ์ ‘ํ•œ ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•œ ๊ฒฝํ—˜์  ๋ฐฉ์ •์‹์ด ๋„์ถœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

8. ์ฐธ๊ณ ๋ฌธํ—Œ:

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  • Chiew, Y.M., Melville, B.W., 1987. Local scour around bridge piers. Journal of Hydraulic Research 25(1), 15โ€“26. https://doi.org/10.1080/00221688709499285.
  • Chiew, Y.M., 1995. Mechanics of riprap failure at bridge piers. Journal of Hydraulic Engineering 121(9), 635โ€“643. https://doi.org/10.1061/(ASCE)0733-9429(1995)121:9(635).
  • Coleman, S.E., Lauchlan, C.S., Melville, B.W., 2003. Clear-water scour development at bridge abutments. Journal of Hydraulic Research 41(5), 521โ€“531. https://doi.org/10.1080/00221680309499997.
  • Dey, S., Barbhuiya, A., 2005a. Time variation of scour at abutments. Journal of Hydraulic Engineering 131(1), 11โ€“23. https://doi.org/10.1061/(ASCE)0733-9429(2005)131:1(11).
  • Dey, S., Barbhuiya, A., 2005b. Flow field at a vertical-wall abutment. Journal of Hydraulic Engineering 131(12), 1126โ€“1135. https://doi.org/doi:10.1061/(ASCE)0733-9429(2005)131:12(1126).
  • Ettema, R., 1980. Scour at Bridge Piers. University of Auckland, Auckland.
  • Fael, C., Lanรงa, R., Cardoso, A., 2016. Effect of pier shape and pier alignment on the equilibrium scour depth at single piers. International Journal of Sediment Research 31(3), 244โ€“250. https://doi.org/10.1016/j.ijsrc.2016.04.001.
  • Froehlich, D.C., 1988. Analysis of onsite measurements of scour at piers. In: Hydraulic Engineering: Proceedings of the 1988 National Conference on Hydraulic Engineering. ASCE, New York, pp. 534โ€“539.
  • Guan, D., Chiew, Y.M., Wei, M., Hsieh, S.C., 2019. Characterization of horseshoe vortex in a developing scour hole at a cylindrical bridge pier. International Journal of Sediment Research 34(2), 118โ€“124. https://doi.org/10.1016/j.ijsrc.2018.07.001.
  • Hong, S., 2005. Interaction of Bridge Contraction Scour and Pier Scour in a Laboratory River Model. M.S. Dissertation. Georgia Institute of Technology, Atlanta.
  • Hong, S., Abid, I., 2016. Physical model study of bridge contraction scour. KSCE Journal of Civil Engineering 20(6), 2578โ€“2585. https://doi.org/10.1007/s12205-015-0417-x.
  • Karami, H., Ardeshir, A., Behzadian, K., Ghodsian, M., 2011. Protective spur dike for scour mitigation of existing spur dikes. Journal of Hydraulic Research 49(6), 809โ€“813. https://doi.org/10.1080/00221686.2011.625166.
  • Khajeh, S.B.M., Vaghefi, M., 2020. Investigation of abutment effect on scouring around inclined pier at a bend. Journal of Applied Water Engineering and Research 8(2), 125โ€“138. https://doi.org/10.1080/23249676.2020.1761898.
  • irkgรถz, M.S., ArdiรงlioฤŸlu, M., 1997. Velocity profiles of developing and developed open channel flow. Journal of Hydraulic Engineering 123(12), 1099โ€“1105. https://doi.org/10.1061/(ASCE)0733-9429(1997)123:12(1099).
  • Kumcu, S., Kokpinar, M. and Gogus, M., 2014. Scour protection around vertical-wall bridge abutments with collars. KSCE Journal of Civil Engineering 18(6), 1884โ€“1895. https://doi.org/10.1007/s12205-014-0245-4.
  • Lamb, R., Garside, P., Pant, R. and Hall, J.W., 2019. A probabilistic model of the economic risk to britain’s railway network from bridge scour during floods. Risk Analysis 39(11), 2457โ€“2478. https://doi.org/10.1111/risa.13370.
  • Kwan, F., 1988. Study of abutment scour. School of T. Engineering, Department of Civil Engineering Private Bag Auckland, New Zealand. Report No. 451.
  • Mays, L., W., 2001. Stormwater collection systems design handbook. McGraw-Hill Education New York.
  • Melville, B.W., 1992. Local scour at bridge abutments. Journal of Hydraulic Engineering 118(4), 615โ€“631. https://doi.org/doi:10.1061/(ASCE)0733-9429(1992)118:4(615).
  • Melville, B.W., 1997. Pier and abutment scour: Integrated approach. Journal of Hydraulic Engineering 123(2), 125โ€“136. https://doi.org/10.1061/(ASCE)0733-9429(1997)123:2(125).
  • Melville, B.W., Raudkivi, A.J., 1977. Flow characteristics in local scour at bridge piers. Journal of Hydraulic Research 15(4), 373โ€“380. https://doi.org/10.1080/00221687709499641.
  • Melville, B.W., Coleman, S.E., 2000. Bridge Scour. Water Resources Publications, Colorado.
  • Melville, B.W., Yang, Y., Xiong, X., Ettema, R., Nowroozpour, A., 2021. Effects of streamwise abutment length on scour at riprap apron-protected setback abutments in compound channels. Journal of Hydraulic Engineering 147(3), 04021003. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001860.
  • Oben-Nyarko, K., Ettema, R., 2011. Pier and abutment scour interaction. Journal of Hydraulic Engineering 137(12), 1598โ€“1605. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000446.
  • Pasupuleti, L.N., Timbadiya, P.V., Patel, P.L., 2022. Flow field measurements around isolated, staggered, and tandem piers on a rigid bed channel. International Journal of Civil Engineering 20, 569โ€“586. https://doi.org/10.1007/s40999-021-00678-w.
  • Pizarro, A., Manfreda, S. and Tubaldi, E., 2020. The science behind scour at bridge foundations: A review. Water 12(2), 374.
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  • Richardson, E.V., Davis, S.R., 2001. Evaluating Scour at Bridges. Hydraulic Engineering Circular No. 18. Department of Transportation, Washington D.C.
  • Saha, R., Lee, S.O., Hong, S.H., 2018. A comprehensive method of calculating maximum bridge scour depth. Water 10(11), 1572. https://doi.org/10.3390/w10111572.
  • Sheppard, D., Miller, W., 2006. Live-bed local pier scour experiments. Journal of Hydraulic Engineering 132(7), 635โ€“642. https://doi.org/10.1061/(ASCE)0733-9429(2006)132:7(635).
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  • Yang, Y., Xiong, X., Melville, B., Sturm, T., 2020. Flow redistribution at bridge contractions in compound channel for extreme hydrological events and implications for sediment scour. Journal of Hydraulic Engineering 147(3), 04021005. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001861.
  • Zhang, W., Wang, L., Melville, B.W., Guan, D., Whittaker, C.N., Shamseldin, A.Y., 2021. Characteristics of the flow field within a developing scour hole at a submerged weir. Journal of Hydraulic Research 60(2), 283โ€“294. https://doi.org/10.1080/00221686.2021.1944928.

์ „๋ฌธ๊ฐ€ Q&A: ์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

Q1: ์ฃผ์š” ์‹คํ—˜์˜ ์ง„ํ–‰ ์‹œ๊ฐ„์„ 27์‹œ๊ฐ„์œผ๋กœ ์„ค์ •ํ•œ ํŠน๋ณ„ํ•œ ์ด์œ ๊ฐ€ ์žˆ๋‚˜์š”?

A1: ๋„ค, ๋ณธ ์—ฐ๊ตฌ์˜ 3ํŽ˜์ด์ง€์— ์–ธ๊ธ‰๋œ ๋ฐ”์™€ ๊ฐ™์ด, ๋Œ€์กฐ๊ตฐ ์‹คํ—˜์˜ ์˜ˆ๋น„ ์‹คํ–‰์„ ํ†ตํ•ด 27์‹œ๊ฐ„์ด ๊ฒฝ๊ณผํ–ˆ์„ ๋•Œ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ์ตœ๋Œ€ ํ‰ํ˜• ์„ธ๊ตด ๊นŠ์ด์˜ 80% ์ด์ƒ์— ๋„๋‹ฌํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค. ํ‰ํ˜• ์ƒํƒœ์— ๋„๋‹ฌํ•˜๋Š” ๋ฐ๋Š” ๋” ๊ธด ์‹œ๊ฐ„์ด ํ•„์š”ํ•˜์ง€๋งŒ, ๋‹ค์ˆ˜์˜ ์‹คํ—˜์„ ํšจ์œจ์ ์œผ๋กœ ์ˆ˜ํ–‰ํ•˜๋ฉด์„œ๋„ ๊ฐ ์กฐ๊ฑด์˜ ์„ธ๊ตด ํŠน์„ฑ์„ ์‹ ๋ขฐ์„ฑ ์žˆ๊ฒŒ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด 27์‹œ๊ฐ„์„ ํ‘œ์ค€ ์‹คํ—˜ ์‹œ๊ฐ„์œผ๋กœ ์„ค์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.

Q2: ๊ทธ๋ฆผ 7(b)์—์„œ ๋ณด๋“ฏ์ด, ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ๊ฑฐ๋ฆฌ๊ฐ€ ๊ฐ€๊นŒ์šธ ๋•Œ(X/D=1.5) ๊ต๊ฐ ์„ธ๊ตด์ด ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€ํ•˜๋Š” ๋ฌผ๋ฆฌ์ ์ธ ๋ฉ”์ปค๋‹ˆ์ฆ˜์€ ๋ฌด์—‡์ธ๊ฐ€์š”?

A2: ๋…ผ๋ฌธ์˜ 3.1๋ถ€ํ„ฐ 3.4์ ˆ๊นŒ์ง€์˜ ์œ ๋™ ๋ถ„์„ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ๊ต๊ฐ์ด ๊ต๋Œ€ ๊ฐ€๊นŒ์ด ์žˆ์„ ๋•Œ ๋‘ ๊ตฌ์กฐ๋ฌผ ์‚ฌ์ด์˜ ํ๋ฆ„์ด ‘์ฑ„๋„ํ™”’๋˜์–ด ์œ ์†์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค(๊ทธ๋ฆผ 4). ๋˜ํ•œ, ๊ต๋Œ€๋กœ ์ธํ•ด ๋ฐœ์ƒํ•œ ๊ฐ•ํ•œ ํ•˜๊ฐ•๋ฅ˜์™€ ์™€๋ฅ˜๊ฐ€ ๊ต๊ฐ์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋ฉด์„œ ๋ฐ”๋‹ฅ ์ „๋‹จ ์‘๋ ฅ์„ ์ฆํญ์‹œํ‚ต๋‹ˆ๋‹ค(๊ทธ๋ฆผ 6). ์ด๋กœ ์ธํ•ด ๋‘ ๊ฐœ์˜ ๋ถ„๋ฆฌ๋œ ์„ธ๊ตด๊ณต์ด ์•„๋‹Œ, ํ•˜๋‚˜์˜ ํฌ๊ณ  ๊นŠ์€ ์—ฐํ•ฉ๋œ ์„ธ๊ตด๊ณต์ด ํ˜•์„ฑ๋˜์–ด ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์นจ์‹์ด ๊ทน์‹ฌํ•ด์ง€๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

Q3: ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•œ ๋‘ ๊ฐ€์ง€ ์ƒˆ๋กœ์šด ๊ฒฝํ—˜์‹(์‹ 3๊ณผ ์‹ 4)์˜ ์ฃผ๋œ ์ฐจ์ด์ ๊ณผ ์šฉ๋„๋Š” ๋ฌด์—‡์ธ๊ฐ€์š”?

A3: ์‹ (3)์€ ‘์ค‘์ฒฉ์˜ ์›๋ฆฌ’์— ๊ธฐ๋ฐ˜ํ•œ ๊ณต์‹์œผ๋กœ, ๊ฐœ๋ณ„ ๊ต๊ฐ(d_sp0)๊ณผ ๊ฐœ๋ณ„ ๊ต๋Œ€(d_sa0)์˜ ์„ธ๊ตด ๊นŠ์ด ๋ฐ์ดํ„ฐ๋ฅผ ์•Œ๊ณ  ์žˆ์„ ๋•Œ ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•ฉ๋‹ˆ๋‹ค. ์ด ์‹์€ ์„ธ๊ตด์ด ์ง„ํ–‰๋˜๋Š” ์–ด๋А ์‹œ์ ์—์„œ๋“  ๊นŠ์ด๋ฅผ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ๋Š” ์žฅ์ ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, ์‹ (4)๋Š” ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•œ ‘ํšŒ๊ท€ ๋ถ„์„’ ๊ณต์‹์œผ๋กœ, ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ํ˜•์ƒ ๊ณ„์ˆ˜(K_sa, K_sp)์™€ ์ƒ๋Œ€ ๊ฑฐ๋ฆฌ(X/D)๋งŒ์œผ๋กœ ์ตœ์ข… ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด(d_sp)๋ฅผ ์ง์ ‘ ์˜ˆ์ธกํ•ฉ๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋Œ€์กฐ๊ตฐ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ์—†์ด ์„ค๊ณ„์— ๋ฐ”๋กœ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์‹ค์šฉ์ ์ธ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค.

Q4: ๊ต๊ฐ์˜ ์กด์žฌ๊ฐ€ ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์œ ์„ (streamline) ๋ถ„ํฌ์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์ณค๋‚˜์š”?

A4: ๊ทธ๋ฆผ 3(c)์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด, ๊ต๊ฐ์€ ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ํ๋ฆ„์„ ์ฑ„๋„ํ™”ํ•˜๋Š” ์—ญํ• ์„ ํ–ˆ์Šต๋‹ˆ๋‹ค. ์œ ์„ ์€ ์—ฌ์ „ํžˆ ๊ต๋Œ€๋ฅผ ํ–ฅํ•ด ์™ผ์ชฝ์œผ๋กœ ํœ˜์–ด์กŒ์ง€๋งŒ, ๊ต๊ฐ์„ ํ†ต๊ณผํ•œ ํ›„์—๋Š” ํ๋ฆ„ ๋ฐฉํ–ฅ์œผ๋กœ ๋” ์ •๋ ฌ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ๊ต๊ฐ์ด ์—†์„ ๋•Œ(๊ทธ๋ฆผ 3(b))๋ณด๋‹ค ์ˆ˜๋กœ ์ค‘์•™์„ ๊นŒ์ง€ ๋„๋‹ฌํ•˜๋Š” ์œ ์„ ์˜ ์ˆ˜๊ฐ€ ์ค„์–ด๋“ค์–ด, ๊ต๊ฐ์ด ํ๋ฆ„์„ ์ผ์ • ๊ตฌ์—ญ์— ๊ฐ€๋‘๋Š” ํšจ๊ณผ๋ฅผ ๋ณด์˜€์Šต๋‹ˆ๋‹ค.

Q5: ๊ต๊ฐ์„ ์ถ”๊ฐ€ํ–ˆ์„ ๋•Œ ์ „์ฒด ์„ธ๊ตด ๋ถ€ํ”ผ์—๋„ ์œ ์˜๋ฏธํ•œ ๋ณ€ํ™”๊ฐ€ ์žˆ์—ˆ๋‚˜์š”?

A5: ๋„ค, ๋งค์šฐ ํฐ ๋ณ€ํ™”๊ฐ€ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ํ‘œ 1์˜ ‘Scour volume’ ๋ฐ์ดํ„ฐ๋ฅผ ๋ณด๋ฉด, ๊ต๊ฐ์ด ์ถ”๊ฐ€๋˜์—ˆ์„ ๋•Œ ์ „์ฒด ์„ธ๊ตด๊ณต์˜ ๋ถ€ํ”ผ๊ฐ€ ๊ฐœ๋ณ„ ๊ต๋Œ€๋งŒ ์žˆ์„ ๋•Œ์— ๋น„ํ•ด ์ตœ์†Œ 12%์—์„œ ์ตœ๋Œ€ 87%๊นŒ์ง€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๊ต๋Œ€ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด ‘๊นŠ์ด’๋Š” ํฌ๊ฒŒ ๋ณ€ํ•˜์ง€ ์•Š์•˜๋”๋ผ๋„, ์นจ์‹์ด ์ผ์–ด๋‚˜๋Š” ์ „์ฒด ‘๋ฒ”์œ„’๋Š” ๊ต๊ฐ์˜ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ์ธํ•ด ํ›จ์”ฌ ๋” ๋„“์–ด์กŒ์Œ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.


๊ฒฐ๋ก : ๋” ๋†’์€ ํ’ˆ์งˆ๊ณผ ์ƒ์‚ฐ์„ฑ์„ ์œ„ํ•œ ๊ธธ

๋ณธ ์—ฐ๊ตฌ๋Š” ๊ต๊ฐ๊ณผ ๊ต๋Œ€์˜ ์ƒํ˜ธ์ž‘์šฉ์ด ๊ต๋Ÿ‰ ์„ธ๊ตด ๋ถ„์„์—์„œ ๋ฐ˜๋“œ์‹œ ๊ณ ๋ ค๋˜์–ด์•ผ ํ•  ํ•ต์‹ฌ์ ์ด๊ณ  ๋น„์„ ํ˜•์ ์ธ ์š”์†Œ์ž„์„ ๋ช…ํ™•ํ•˜๊ฒŒ ์ฆ๋ช…ํ–ˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ ๋‘ ๊ตฌ์กฐ๋ฌผ์ด ๊ทผ์ ‘ํ•  ๋•Œ, ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ์˜ˆ์ธก์„ ํ›จ์”ฌ ๋›ฐ์–ด๋„˜๋Š” ์ˆ˜์ค€์œผ๋กœ ์ฆ๊ฐ€ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์‚ฌ์‹ค์€ ๊ธฐ์กด์˜ ์„ค๊ณ„ ๊ด€ํ–‰์— ๊ฒฝ์ข…์„ ์šธ๋ฆฝ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณต์žกํ•œ ์œ ์ฒด-๊ตฌ์กฐ๋ฌผ ์ƒํ˜ธ์ž‘์šฉ์„ ์ •ํ™•ํžˆ ์˜ˆ์ธกํ•˜๊ณ  ์•ˆ์ „ํ•œ ์„ค๊ณ„๋ฅผ ์œ„ํ•ด์„œ๋Š” ์ •๋ฐ€ํ•œ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ์—ญํ• ์ด ๊ทธ ์–ด๋А ๋•Œ๋ณด๋‹ค ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค.

STI C&D๋Š” ์ตœ์‹  ์‚ฐ์—… ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์ ์šฉํ•˜์—ฌ ๊ณ ๊ฐ์ด ๋” ๋†’์€ ์ƒ์‚ฐ์„ฑ๊ณผ ํ’ˆ์งˆ์„ ๋‹ฌ์„ฑํ•  ์ˆ˜ ์žˆ๋„๋ก ์ตœ์„ ์„ ๋‹คํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ ๋…ผ์˜๋œ ๊ณผ์ œ๊ฐ€ ๊ท€์‚ฌ์˜ ์šด์˜ ๋ชฉํ‘œ์™€ ๊ด€๋ จ์ด ์žˆ๋‹ค๋ฉด, ์ €ํฌ ์—”์ง€๋‹ˆ์–ด๋ง ํŒ€์— ์—ฐ๋ฝํ•˜์—ฌ ์ด๋Ÿฌํ•œ ์›์น™์„ ๊ท€์‚ฌ์˜ ๊ตฌ์„ฑ ์š”์†Œ์— ์–ด๋–ป๊ฒŒ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ๋…ผ์˜ํ•ด ๋ณด์‹ญ์‹œ์˜ค.

(์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””์—์„œ๋Š” ๊ณ ๊ฐ์ด ์ˆ˜์น˜ํ•ด์„์„ ์ง์ ‘ ์ˆ˜ํ–‰ํ•˜๊ณ  ์‹ถ์ง€๋งŒ ๊ฒฝํ—˜์ด ์—†๊ฑฐ๋‚˜, ์‹œ๊ฐ„์ด ์—†์–ด์„œ ์šฉ์—ญ์„ ํ†ตํ•ด ์ˆ˜์น˜ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ์–ป๊ณ ์ž ํ•˜๋Š” ๊ฒฝ์šฐ ์ „๋ฌธ ์—”์ง€๋‹ˆ์–ด๋ฅผ ํ†ตํ•ด CFD consulting services๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ท€ํ•˜๊ป˜์„œ ๋‹น๋ฉดํ•˜๊ณ  ์žˆ๋Š” ์—ฐ๊ตฌํ”„๋กœ์ ํŠธ๋ฅผ ์ตœ์†Œ์˜ ๋น„์šฉ์œผ๋กœ, ์ตœ์ ์˜ ํ•ด๊ฒฐ๋ฐฉ์•ˆ์„ ์ฐพ์„ ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

  • ์—ฐ๋ฝ์ฒ˜ : 02-2026-0442
  • ์ด๋ฉ”์ผ : flow3d@stikorea.co.kr

์ €์ž‘๊ถŒ ์ •๋ณด

  • ์ด ์ฝ˜ํ…์ธ ๋Š” Mohammad Saeed Fakhimjoo ๋“ฑ์˜ ๋…ผ๋ฌธ “Experimental investigation and flow analysis of clear-water scour around pier and abutment in proximity”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์š”์•ฝ ๋ฐ ๋ถ„์„ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค.
  • ์ถœ์ฒ˜: ๋…ผ๋ฌธ์— DOI ๋˜๋Š” ๋งํฌ ์ •๋ณด๊ฐ€ ์ œ๊ณต๋˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.

์ด ์ž๋ฃŒ๋Š” ์ •๋ณด ์ œ๊ณต ๋ชฉ์ ์œผ๋กœ๋งŒ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋ฌด๋‹จ ์ƒ์—…์  ์‚ฌ์šฉ์„ ๊ธˆํ•ฉ๋‹ˆ๋‹ค. Copyright ยฉ 2025 STI C&D. All rights reserved.

Figure 1. Complex pier geometry characteristics

ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰ ์ตœ์ ํ™”: ๋ณตํ•ฉ ๊ต๋Ÿ‰ ๊ต๊ฐ์˜ ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ 16% ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๋ฐฉ๋ฒ•

์ด ๊ธฐ์ˆ  ์š”์•ฝ์€ H. Ghodsi, M. J. Khanjani, A. A. Beheshti๊ฐ€ [Civil Engineering Journal]์— ๋ฐœํ‘œํ•œ 2018๋…„ ๋…ผ๋ฌธ “[Evaluation of Harmony Search Optimization to Predict Local Scour Depth around Complex Bridge Piers]”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•ฉ๋‹ˆ๋‹ค. (์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””์˜ ๊ธฐ์ˆ  ์ „๋ฌธ๊ฐ€๋“ค์ด ๋ถ„์„ํ•˜๊ณ  ์š”์•ฝํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ‚ค์›Œ๋“œ

  • Primary Keyword:ย ๊ต๋Ÿ‰ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก
  • Secondary Keywords:ย ๋ณตํ•ฉ ๊ต๊ฐ, ๊ตญ๋ถ€ ์„ธ๊ตด, ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰ ์ตœ์ ํ™”, ๊ฒฝํ—˜์  ๊ณต์‹, ์ˆ˜๋ฆฌ ์‹คํ—˜ ๋ฐ์ดํ„ฐ, CFD

Executive Summary

  • ๋„์ „ ๊ณผ์ œ:ย ํ™์ˆ˜ ์‹œ ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ์ฃผ๋œ ์›์ธ์ธ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๊ธฐ์กด์˜ ๊ฒฝํ—˜์  ๊ณต์‹์œผ๋กœ๋Š” ๋ณต์žกํ•œ ์„ธ๊ตด ๊ณผ์ • ๋•Œ๋ฌธ์— ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๊ธฐ ์–ด๋ ต์Šต๋‹ˆ๋‹ค.
  • ํ•ด๊ฒฐ ๋ฐฉ๋ฒ•:ย ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์Œ์•…๊ฐ€๋“ค์˜ ์ฆ‰ํฅ ์—ฐ์ฃผ ๊ณผ์ •์—์„œ ์ฐฉ์•ˆํ•œ ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰(Harmony Search, HS) ์ตœ์ ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ•˜์—ฌ, 82๊ฐœ์˜ ์‹ ๊ทœ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ 615๊ฐœ์˜ ๊ธฐ์กด ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.
  • ํ•ต์‹ฌ ์„ฑ๊ณผ:ย ๊ฐœ๋ฐœ๋œ HS ๋ชจ๋ธ์€ ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ) 0.672๋ฅผ ๋‹ฌ์„ฑํ•˜์—ฌ, HEC-18์ด๋‚˜ Coleman ๊ณต์‹๊ณผ ๊ฐ™์€ ๊ธฐ์กด ๋ฐฉ๋ฒ•๋“ค๋ณด๋‹ค ์›”๋“ฑํžˆ ๋†’์€ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ๋ณด์˜€์Šต๋‹ˆ๋‹ค.
  • ํ•ต์‹ฌ ๊ฒฐ๋ก :ย ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰ ์•Œ๊ณ ๋ฆฌ์ฆ˜์œผ๋กœ ๋ณด์ •๋œ ๋ฐฉ์ •์‹์€ ๋ณตํ•ฉ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ํ›จ์”ฌ ๋” ๊ฐ•๋ ฅํ•˜๊ณ  ์ •๋ฐ€ํ•˜๊ฒŒ ์ถ”์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•˜์—ฌ, ๋” ์•ˆ์ „ํ•˜๊ณ  ๊ฒฝ์ œ์ ์ธ ๊ต๋Ÿ‰ ์„ค๊ณ„์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋„์ „ ๊ณผ์ œ: ์ด ์—ฐ๊ตฌ๊ฐ€ CFD ์ „๋ฌธ๊ฐ€์—๊ฒŒ ์ค‘์š”ํ•œ ์ด์œ 

๊ต๋Ÿ‰ ๊ต๊ฐ์€ ํ•˜์ฒœ์˜ ํ๋ฆ„์„ ๋ฐฉํ•ดํ•˜์—ฌ ๊ต๊ฐ ์ฃผ๋ณ€์— ๋ง๊ตฝ ์™€๋ฅ˜(horseshoe vortex)๋ฅผ ํ˜•์„ฑํ•˜๊ณ , ์ด๋กœ ์ธํ•ด ํ•˜์ƒ ์žฌ๋ฃŒ๊ฐ€ ์“ธ๋ ค๋‚˜๊ฐ€๋Š” ๊ตญ๋ถ€ ์„ธ๊ตด(local scour) ํ˜„์ƒ์„ ์œ ๋ฐœํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์„ธ๊ตด์ด ๊ณผ๋„ํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜๋ฉด ๊ต๋Ÿ‰์˜ ๊ธฐ์ดˆ๊ฐ€ ์•ฝํ™”๋˜์–ด ๊ฒฐ๊ตญ ๋ถ•๊ดด๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋Š” ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ์ฃผ์š” ์›์ธ ์ค‘ ํ•˜๋‚˜์ž…๋‹ˆ๋‹ค.

ํŠนํžˆ, ๊ธฐ๋‘ฅ, ํŒŒ์ผ ์บก, ํŒŒ์ผ ๊ทธ๋ฃน์œผ๋กœ ๊ตฌ์„ฑ๋œ ‘๋ณตํ•ฉ ๊ต๊ฐ(complex piers)’์˜ ๊ฒฝ์šฐ, ๊ทธ ํ˜•์ƒ์ด ๋ณต์žกํ•˜์—ฌ ์„ธ๊ตด ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์˜ˆ์ธกํ•˜๊ธฐ๊ฐ€ ๋”์šฑ ์–ด๋ ต์Šต๋‹ˆ๋‹ค. ์ˆ˜์‹ญ ๋…„๊ฐ„ ๋‹ค์–‘ํ•œ ๊ฒฝํ—˜์  ๊ณต์‹๋“ค์ด ๊ฐœ๋ฐœ๋˜์—ˆ์ง€๋งŒ, ๋ณต์žกํ•œ ์œ ๋™ ๋ฐ ํ‡ด์ ๋ฌผ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ์ธํ•ด ์˜ˆ์ธก๊ฐ’๊ณผ ์‹ค์ œ ์ธก์ •๊ฐ’ ์‚ฌ์ด์— ์ƒ๋‹นํ•œ ์˜ค์ฐจ๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์˜ˆ์ธก์˜ ๋ถˆํ™•์‹ค์„ฑ์€ ๊ต๋Ÿ‰ ์„ค๊ณ„ ์‹œ ์•ˆ์ „์„ฑ๊ณผ ๊ฒฝ์ œ์„ฑ ์‚ฌ์ด์˜ ๊ท ํ˜•์„ ๋งž์ถ”๋Š” ๋ฐ ์žˆ์–ด ์—”์ง€๋‹ˆ์–ด๋“ค์—๊ฒŒ ํฐ ๋„์ „ ๊ณผ์ œ์˜€์Šต๋‹ˆ๋‹ค.

์ ‘๊ทผ ๋ฐฉ์‹: ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก  ๋ถ„์„

๋ณธ ์—ฐ๊ตฌ๋Š” ๋ณตํ•ฉ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•ด ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์˜ ์ตœ์ ํ™” ๊ธฐ๋ฒ•์„ ๋„์ž…ํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ฐ๊ตฌ์ง„์€ ๋จผ์ €, ์ž์ฒด์ ์œผ๋กœ ์„ค๊ณ„ํ•œ ์‹คํ—˜์‹ค ํ…Œ์ŠคํŠธ๋ฅผ ํ†ตํ•ด 82๊ฐœ์˜ ์ƒˆ๋กœ์šด ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™•๋ณดํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ์‹คํ—˜์€ ํŒŒ์ผ ์บก์˜ ์ƒ๋ฅ˜๋ถ€ ๋Œ์ถœ ๊ธธ์ด(Lu), ํŒŒ์ผ ๊ทธ๋ฃน ๋ฐฐ์—ด(mร—n), ํŒŒ์ผ ์บก ๋‘๊ป˜(T) ๋“ฑ ๊ธฐํ•˜ํ•™์  ํ˜•์ƒ์ด ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ •๋Ÿ‰ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์„ค๊ณ„๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์—ฌ๊ธฐ์— ๋”ํ•ด, ๊ธฐ์กด์— ๋ฐœํ‘œ๋œ ์—ฐ๊ตฌ ๋ฌธํ—Œ์—์„œ 615๊ฐœ์˜ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ์ด 697๊ฐœ์˜ ๋ฐฉ๋Œ€ํ•œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ๊ตฌ์ถ•ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ฐ์ดํ„ฐ๋“ค์€ ๋ชจ๋‘ ์ฒญ์ˆ˜ ์กฐ๊ฑด(clear water conditions)์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ, ์ฑ„๋„ ์ธก๋ฒฝ์ด๋‚˜ ํ‡ด์ ๋ฌผ ์ž…์ž ํฌ๊ธฐ์˜ ์˜ํ–ฅ์ด ์ตœ์†Œํ™”๋˜๋„๋ก ์—„๊ฒฉํ•œ ๊ธฐ์ค€(์˜ˆ: b/d50 > 50)์— ๋”ฐ๋ผ ์„ ์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

ํ•ต์‹ฌ ๋ฐฉ๋ฒ•๋ก ์€ ‘ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰(Harmony Search, HS)’ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์Œ์•…๊ฐ€๋“ค์ด ๋” ๋‚˜์€ ํ™”์Œ์„ ์ฐพ๊ธฐ ์œ„ํ•ด ๊ฐ ์•…๊ธฐ์˜ ์Œ๋†’์ด๋ฅผ ์กฐ์ •ํ•˜๋Š” ๊ณผ์ •์— ์˜๊ฐ์„ ๋ฐ›์€ ๋ฉ”ํƒ€ ํœด๋ฆฌ์Šคํ‹ฑ ์ตœ์ ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์ž…๋‹ˆ๋‹ค. ์—ฐ๊ตฌ์ง„์€ ์ด HS ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ์กด์˜ ๊ฒฝํ—˜์  ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก ๊ณต์‹(Ataie-Ashtiani ๋“ฑ์ด ์ˆ˜์ •ํ•œ ๊ณต์‹)์˜ ๊ณ„์ˆ˜๋“ค์„ ๋ฐฉ๋Œ€ํ•œ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์— ๊ฐ€์žฅ ์ž˜ ๋ถ€ํ•ฉํ•˜๋„๋ก ๋ณด์ •(calibrate)ํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ•ต์‹ฌ ์„ฑ๊ณผ: ์ฃผ์š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ ๋ฐ ๋ฐ์ดํ„ฐ

์—ฐ๊ตฌ์ง„์€ HS ์•Œ๊ณ ๋ฆฌ์ฆ˜์œผ๋กœ ๊ฐœ๋ฐœ๋œ ๋ชจ๋ธ์˜ ์„ฑ๋Šฅ์„ HEC-18, Coleman, Sheppard(FDOT) ๋“ฑ ๊ธฐ์กด์˜ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” ๊ฒฝํ—˜์  ๊ณต์‹๋“ค๊ณผ ๋น„๊ตํ–ˆ์Šต๋‹ˆ๋‹ค. ์„ฑ๋Šฅ ํ‰๊ฐ€๋Š” ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ), ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE), ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ(MAPE) ๋“ฑ 5๊ฐ€์ง€ ํ†ต๊ณ„ ์ง€ํ‘œ๋ฅผ ํ†ตํ•ด ์ด๋ฃจ์–ด์กŒ์Šต๋‹ˆ๋‹ค.

์„ฑ๊ณผ 1: HS ๋ชจ๋ธ์˜ ์••๋„์ ์ธ ์˜ˆ์ธก ์ •ํ™•๋„

HS ๋ชจ๋ธ์€ ๋‹ค๋ฅธ ์–ด๋–ค ๋ชจ๋ธ๋ณด๋‹ค๋„ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ›จ์”ฌ ๋” ์ •ํ™•ํ•˜๊ฒŒ ์„ค๋ช…ํ–ˆ์Šต๋‹ˆ๋‹ค. Table 2์— ์š”์•ฝ๋œ ๋ฐ”์™€ ๊ฐ™์ด, HS ๋ชจ๋ธ์˜ ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ)๋Š” 0.672๋กœ ๊ฐ€์žฅ ๋†’์•˜์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋‘ ๋ฒˆ์งธ๋กœ ๋†’์€ ‘์ˆ˜์ •๋œ Coleman’ ๋ชจ๋ธ์˜ 0.579๋ณด๋‹ค ์•ฝ 16% ํ–ฅ์ƒ๋œ ์ˆ˜์น˜์ž…๋‹ˆ๋‹ค. ๊ฒฐ์ •๊ณ„์ˆ˜๊ฐ€ 1์— ๊ฐ€๊นŒ์šธ์ˆ˜๋ก ๋ชจ๋ธ์ด ๋ฐ์ดํ„ฐ์˜ ๋ณ€๋™์„ฑ์„ ์ž˜ ์„ค๋ช…ํ•œ๋‹ค๋Š” ์˜๋ฏธ์ด๋ฏ€๋กœ, ์ด๋Š” HS ๋ชจ๋ธ์˜ ์šฐ์ˆ˜์„ฑ์„ ๋ช…ํ™•ํžˆ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

Table 2. ํ†ต๊ณ„ ์ง€ํ‘œ ๋น„๊ต | Equation | Rยฒ | RMSE | MAE | MAPE | BIAS | | :— | :— | :— | :— | :— | :— | | HEC-18 | 0.329 | 0.061 | 0.044 | 159.440 | 0.033 | | Revised HEC-18 | 0.515 | 0.044 | 0.032 | 112.548 | 0.018 | | Coleman | 0.467 | 0.102 | 0.065 | 151.932 | 0.063 | | Revised Coleman | 0.5799 | 0.078 | 0.058 | 133.072 | 0.056 | | Sheppard | 0.399 | 0.071 | 0.053 | 180.876 | 0.049 | | HS | 0.672 | 0.054 | 0.034 | 3.448 | 0.023 |

์„ฑ๊ณผ 2: ์˜ˆ์ธก ์˜ค์ฐจ์˜ ํš๊ธฐ์ ์ธ ๊ฐ์†Œ

HS ๋ชจ๋ธ์˜ ๊ฐ€์žฅ ๋†€๋ผ์šด ์„ฑ๊ณผ๋Š” ์˜ˆ์ธก ์˜ค์ฐจ๋ฅผ ๊ทน์ ์œผ๋กœ ์ค„์˜€๋‹ค๋Š” ์ ์ž…๋‹ˆ๋‹ค. ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ(MAPE)๋ฅผ ๋ณด๋ฉด, ๊ธฐ์กด ๋ชจ๋ธ๋“ค์€ ๋ชจ๋‘ 100์ด ๋„˜๋Š” ๋†’์€ ์˜ค์ฐจ์œจ(์˜ˆ: Revised HEC-18์€ 112.548)์„ ๋ณด์ธ ๋ฐ˜๋ฉด, HS ๋ชจ๋ธ์˜ MAPE๋Š” 3.448์— ๋ถˆ๊ณผํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์˜ˆ์ธก์˜ ์‹ ๋ขฐ๋„๊ฐ€ ๋น„๊ตํ•  ์ˆ˜ ์—†์„ ์ •๋„๋กœ ๋†’๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ์•„๋ž˜ Figure 3์˜ (f) ๊ทธ๋ž˜ํ”„๋Š” HS ๋ชจ๋ธ์˜ ์˜ˆ์ธก๊ฐ’(์„ธ๋กœ์ถ•)์ด ์‹ค์ œ ๊ด€์ธก๊ฐ’(๊ฐ€๋กœ์ถ•)๊ณผ ๊ฑฐ์˜ ์ผ์น˜ํ•˜๋Š” ‘perfect line’ ์ฃผ๋ณ€์— ๋งค์šฐ ๋ฐ€์ง‘๋˜์–ด ์žˆ์Œ์„ ์‹œ๊ฐ์ ์œผ๋กœ ๋ณด์—ฌ์ฃผ๋ฉฐ, ๋‹ค๋ฅธ ๋ชจ๋ธ๋“ค์˜ ์˜ˆ์ธก๊ฐ’์ด ๋„“๊ฒŒ ํฉ์–ด์ ธ ์žˆ๋Š” ๊ฒƒ๊ณผ ๋šœ๋ ทํ•œ ๋Œ€์กฐ๋ฅผ ์ด๋ฃน๋‹ˆ๋‹ค.

R&D ๋ฐ ์šด์˜์„ ์œ„ํ•œ ์‹ค์งˆ์  ์‹œ์‚ฌ์ 

  • ์ˆ˜๋ฆฌ ๋ฐ ๊ต๋Ÿ‰ ์„ค๊ณ„ ์—”์ง€๋‹ˆ์–ด:ย ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ ๋ณด์ •๋œ ๋ฐฉ์ •์‹(Equation 4)์€ ๋ณตํ•ฉ ๊ต๊ฐ์˜ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๋” ์‹ ๋ขฐ์„ฑ ์žˆ๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ณผ์ž‰ ์„ค๊ณ„๋ฅผ ๋ฐฉ์ง€ํ•˜์—ฌ ๋น„์šฉ์„ ์ ˆ๊ฐํ•˜๋Š” ๋™์‹œ์— ๊ต๋Ÿ‰ ๊ธฐ์ดˆ์˜ ์•ˆ์ „์„ฑ์„ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ง€๋ฐ˜ ๊ณตํ•™ ์—”์ง€๋‹ˆ์–ด:ย ์ •ํ™•ํ•œ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์€ ๊ต๋Ÿ‰์˜ ์žฅ๊ธฐ์ ์ธ ์•ˆ์ •์„ฑ์„ ๋ณด์žฅํ•˜๊ธฐ ์œ„ํ•ด ํ•„์š”ํ•œ ํŒŒ์ผ ๋ฐ ๊ธฐ์ดˆ์˜ ๊นŠ์ด๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๋ฐ ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. HS ๋ชจ๋ธ์€ ์ด๋Ÿฌํ•œ ๊ฒฐ์ •์— ํ•„์š”ํ•œ ๋ฐ์ดํ„ฐ์˜ ์‹ ๋ขฐ๋„๋ฅผ ๋†’์—ฌ์ค๋‹ˆ๋‹ค.
  • ํ† ๋ชฉ ๊ณตํ•™ R&D ๊ด€๋ฆฌ์ž:ย ์ด ์—ฐ๊ตฌ๋Š” ์ธ๊ณต์ง€๋Šฅ ๋ฐ ์ตœ์ ํ™” ๊ธฐ๋ฒ•์ด ๋ณต์žกํ•œ ์œ ์ฒด-๊ตฌ์กฐ ์ƒํ˜ธ์ž‘์šฉ ๋ฌธ์ œ์—์„œ ์ „ํ†ต์ ์ธ ๊ฒฝํ—˜์  ๊ณต์‹์„ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ•๋ ฅํ•œ ์ž ์žฌ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ์Œ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ด๋Š” ์œ ์‚ฌํ•œ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ๋ชจ๋ธ๋ง ์ ‘๊ทผ ๋ฐฉ์‹์— ๋Œ€ํ•œ ํˆฌ์ž์˜ ํƒ€๋‹น์„ฑ์„ ๋’ท๋ฐ›์นจํ•ฉ๋‹ˆ๋‹ค.

๋…ผ๋ฌธ ์ƒ์„ธ ์ •๋ณด


Evaluation of Harmony Search Optimization to Predict Local Scour Depth around Complex Bridge Piers

1. ๊ฐœ์š”:

  • ์ œ๋ชฉ:ย Evaluation of Harmony Search Optimization to Predict Local Scour Depth around Complex Bridge Piers
  • ์ €์ž:ย H. Ghodsi, M. J. Khanjani, A. A. Beheshti
  • ๋ฐœํ–‰ ์—ฐ๋„:ย 2018
  • ํ•™์ˆ ์ง€/ํ•™ํšŒ:ย Civil Engineering Journal
  • ํ‚ค์›Œ๋“œ:ย Complex Bridge Piers; Local Scour; Empirical Formula; Laboratory Data; Scour Depth Estimation; Harmony Search (HS).

2. ์ดˆ๋ก:

๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ์ฃผ์š” ์›์ธ ์ค‘ ํ•˜๋‚˜๋Š” ๊ต๊ฐ ๊ทผ์ฒ˜์˜ ํ™์ˆ˜ ํ๋ฆ„์— ์˜ํ•œ ์„ธ๊ตด์ผ ์ˆ˜ ์žˆ๋‹ค. ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์—ฐ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ์—ฌ๋Ÿฌ ์‹คํ—˜ ๋ฐ ํ˜„์žฅ ์กฐ์‚ฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ธฐ์กด์˜ ๊ฒฝํ—˜์  ๋ฐฉ์ •์‹๋“ค์€ ์„ธ๊ตด ๊ณผ์ •์˜ ๋ณต์žก์„ฑ์œผ๋กœ ์ธํ•ด ์ผ๋ฐ˜์ ์œผ๋กœ ์ •ํ™•ํ•œ ์„ธ๊ตด ์˜ˆ์ธก์„ ์ œ๊ณตํ•˜์ง€ ๋ชปํ•œ๋‹ค. ๋ฌผ๋ฆฌ์ , ๊ฒฝ์ œ์  ๊ณ ๋ ค ์‚ฌํ•ญ์€ ์ข…์ข… ํŒŒ์ผ ๋ฐฐ์—ด์— ์˜ํ•ด ์ง€์ง€๋˜๋Š” ํŒŒ์ผ ์บก ์œ„์— ๊ต๊ฐ ๊ธฐ๋‘ฅ์„ ํฌํ•จํ•˜๋Š” ๊ต๋Ÿ‰ ๊ธฐ์ดˆ ๊ตฌ์กฐ๋ฌผ์„ ๋งŒ๋“ค๊ฒŒ ํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ตฌ์„ฑ์„ ๊ฐ€์ง„ ๊ต๊ฐ์„ ๋ณตํ•ฉ ๊ต๊ฐ์ด๋ผ๊ณ  ํ•œ๋‹ค. ๋ณตํ•ฉ ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด ์ถ”์ •์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๊ฑฐ์˜ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š์•˜๋‹ค. ์ด๋Ÿฌํ•œ ๋…ธ๋ ฅ์€ ์ด๋ก ์  ๋ฐ ๊ฒฝํ—˜์  ๋ฐฉ์ •์‹์œผ๋กœ ๋ถ„๋ฅ˜๋  ์ˆ˜ ์žˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ ์ฒญ์ˆ˜ ์กฐ๊ฑด ํ•˜์—์„œ ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ณตํ•ฉ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์„ ์กฐ์‚ฌํ•œ๋‹ค. ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ), ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE), ํ‰๊ท  ์ ˆ๋Œ€ ์˜ค์ฐจ(MAE), ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ(MAPE), ํŽธํ–ฅ(bias)๊ณผ ๊ฐ™์€ ํ†ต๊ณ„ ์ง€ํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋Ÿฌํ•œ ๋ฐฉ๋ฒ•๋“ค์˜ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ–ˆ๋‹ค. ์ €์ž๋“ค์€ ์‹คํ—˜์‹ค ํ…Œ์ŠคํŠธ๋ฅผ ์„ค๊ณ„ํ•˜์—ฌ 82๊ฐœ์˜ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ํฌ์ธํŠธ๋ฅผ ์ธก์ •ํ–ˆ๋‹ค. ๋˜ํ•œ ๋™์ผํ•œ ์ธก์ •๋œ ์‹คํ—˜ ์กฐ๊ฑด์„ ๊ฐ€์ง„ 615๊ฐœ์˜ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ๋ฐœํ‘œ๋œ ๋ฌธํ—Œ์—์„œ ์ˆ˜์ง‘ํ•˜์—ฌ ์ตœ์ ํ™”์— ์‚ฌ์šฉํ–ˆ๋‹ค. ๊ฒฐ๊ณผ๋Š” ๊ฐœ๋ฐœ๋œ HS ๋ชจ๋ธ์ด ํ†ต๊ณ„ ์ง€ํ‘œ์— ๋”ฐ๋ผ ๋‹ค๋ฅธ ๋ฐฉ์ •์‹๋ณด๋‹ค ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๋” ์ž˜ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ณด์—ฌ์ค€๋‹ค.

Figure 1. Complex pier geometry characteristics
Figure 1. Complex pier geometry characteristics

3. ์„œ๋ก :

ํ•˜์ฒœ์ด ๊ต๊ฐ์— ์˜ํ•ด ๋ถ€๋ถ„์ ์œผ๋กœ ๋ง‰ํžˆ๋ฉด ๊ต๊ฐ ์ฃผ๋ณ€์˜ ํ๋ฆ„ ํŒจํ„ด์ด ํฌ๊ฒŒ ๋ฐ”๋€” ์ˆ˜ ์žˆ๋‹ค. ๊ต๊ฐ์€ ์žฅ์• ๋ฌผ ๋ฐ”๋กœ ์ƒ๋ฅ˜์— ์—ญ์••๋ ฅ ๊ตฌ๋ฐฐ๋ฅผ ์ƒ์„ฑํ•œ๋‹ค. ๋˜ํ•œ, ๊ต๊ฐ ์ƒ๋ฅ˜ ๊ฒฝ๊ณ„์ธต์€ 3์ฐจ์› ๋ถ„๋ฆฌ๋ฅผ ๊ฒช์„ ์ˆ˜ ์žˆ๋‹ค. ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์ „๋‹จ ์‘๋ ฅ ๋ถ„ํฌ๋Š” ๋ง๊ตฝ ์™€๋ฅ˜์˜ ํ˜•์„ฑ์œผ๋กœ ์ธํ•ด ๊ธ‰๊ฒฉํ•˜๊ฒŒ ๋ณ€ํ•˜๋ฉฐ, ์ด๋Š” ๊ต๊ฐ ์ฃผ๋ณ€์— ์„ธ๊ตด ๊ตฌ๋ฉ์„ ๋งŒ๋“ค๊ณ , ์ด๋Š” ๋‹ค์‹œ ํ๋ฆ„ ํŒจํ„ด๊ณผ ์ „๋‹จ ์‘๋ ฅ์„ ๋ณ€ํ™”์‹œํ‚จ๋‹ค. ๊ต๋Ÿ‰ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด ์ถ”์ •์€ ๊ต๋Ÿ‰ ๊ต๊ฐ ์„ค๊ณ„์—์„œ ์ค‘์š”ํ•œ ๋ฌธ์ œ์ด๋‹ค. ๊ต๋Ÿ‰ ๊ต๊ฐ ๋ถ€๊ทผ์˜ ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์„ค๊ณ„ ๋ฐฉ๋ฒ•๊ณผ ๊ณต์‹์ด ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค.

4. ์—ฐ๊ตฌ ์š”์•ฝ:

์—ฐ๊ตฌ ์ฃผ์ œ์˜ ๋ฐฐ๊ฒฝ:

๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ฑ์„ ์œ„ํ˜‘ํ•˜๋Š” ์ฃผ์š” ์š”์ธ์ธ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด ํ˜„์ƒ, ํŠนํžˆ ๊ธฐ๋‘ฅ, ํŒŒ์ผ ์บก, ํŒŒ์ผ ๊ทธ๋ฃน์œผ๋กœ ๊ตฌ์„ฑ๋œ ๋ณตํ•ฉ ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๊ฒƒ์€ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค.

์ด์ „ ์—ฐ๊ตฌ ํ˜„ํ™ฉ:

๋‹ค์–‘ํ•œ ๊ฒฝํ—˜์  ๊ณต์‹(HEC-18, Coleman ๋“ฑ)์ด ์ œ์•ˆ๋˜์—ˆ์ง€๋งŒ, ์„ธ๊ตด ๊ณผ์ •์˜ ๋ณต์žก์„ฑ์œผ๋กœ ์ธํ•ด ์˜ˆ์ธก ์ •ํ™•๋„์— ํ•œ๊ณ„๊ฐ€ ์žˆ์œผ๋ฉฐ, ๊ด€์ธก๋œ ๋ฐ์ดํ„ฐ์™€ ์˜ˆ์ธก๊ฐ’ ์‚ฌ์ด์— ์ƒ๋‹นํ•œ ํŽธ์ฐจ๊ฐ€ ์กด์žฌํ–ˆ๋‹ค.

์—ฐ๊ตฌ ๋ชฉ์ :

ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰(HS) ์ตœ์ ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด๋ผ๋Š” ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ, ๊ธฐ์กด ๊ฒฝํ—˜์  ๊ณต์‹์˜ ์ •ํ™•๋„๋ฅผ ๊ฐœ์„ ํ•˜๊ณ  ๋ณตํ•ฉ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ๋” ์ •๋ฐ€ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋ณด์ • ๋ฐฉ์ •์‹์„ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค.

ํ•ต์‹ฌ ์—ฐ๊ตฌ:

์ด 697๊ฐœ(์ž์ฒด ์‹คํ—˜ 82๊ฐœ, ๋ฌธํ—Œ 615๊ฐœ)์˜ ๋ฐฉ๋Œ€ํ•œ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ HS ์•Œ๊ณ ๋ฆฌ์ฆ˜์œผ๋กœ ๊ธฐ์กด ์„ธ๊ตด ์˜ˆ์ธก ๊ณต์‹์„ ์ตœ์ ํ™”ํ–ˆ๋‹ค. ๊ฐœ๋ฐœ๋œ HS ๋ชจ๋ธ์˜ ์„ฑ๋Šฅ์„ 5๊ฐ€์ง€ ํ†ต๊ณ„ ์ง€ํ‘œ๋ฅผ ํ†ตํ•ด ๊ธฐ์กด 5๊ฐœ์˜ ๋‹ค๋ฅธ ๊ฒฝํ—˜์  ๊ณต์‹๊ณผ ๋น„๊ต ํ‰๊ฐ€ํ–ˆ๋‹ค.

5. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก 

์—ฐ๊ตฌ ์„ค๊ณ„:

์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์˜ ๋ชจ๋ธ ์ตœ์ ํ™” ๋ฐ ๋น„๊ต ๋ถ„์„ ์—ฐ๊ตฌ. HS ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ฒฝํ—˜์  ๊ณต์‹์˜ ๊ณ„์ˆ˜๋ฅผ ๋ณด์ •ํ•˜๊ณ , ๊ทธ ์„ฑ๋Šฅ์„ ๊ธฐ์กด ๊ณต์‹๋“ค๊ณผ ํ†ต๊ณ„์ ์œผ๋กœ ๋น„๊ตํ–ˆ๋‹ค.

๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•:

82๊ฐœ์˜ ์ž์ฒด ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ 615๊ฐœ์˜ ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ๊ตฌ์ถ•ํ–ˆ๋‹ค. ๋ฐ์ดํ„ฐ๋Š” ์ฒญ์ˆ˜ ์กฐ๊ฑด, ํ‡ด์ ๋ฌผ ๋ฐ ์ฑ„๋„ ์˜ํ–ฅ ์ตœ์†Œํ™” ๊ธฐ์ค€์— ๋”ฐ๋ผ ์„ ์ •๋˜์—ˆ๋‹ค. HS ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ ์šฉํ•˜์—ฌ ์˜ˆ์ธก ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ–ˆ์œผ๋ฉฐ, Rยฒ, RMSE, MAE, MAPE, Bias ์ง€ํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ ์„ฑ๋Šฅ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ–ˆ๋‹ค.

์—ฐ๊ตฌ ์ฃผ์ œ ๋ฐ ๋ฒ”์œ„:

์ฒญ์ˆ˜ ์กฐ๊ฑด ํ•˜์—์„œ ๋ณตํ•ฉ ๊ต๊ฐ(๊ธฐ๋‘ฅ, ํŒŒ์ผ ์บก, ํŒŒ์ผ ๊ทธ๋ฃน ๊ตฌ์„ฑ) ์ฃผ๋ณ€์˜ ํ‰ํ˜• ๊ตญ๋ถ€ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์— ์ดˆ์ ์„ ๋งž์ถ”์—ˆ๋‹ค.

6. ์ฃผ์š” ๊ฒฐ๊ณผ:

์ฃผ์š” ๊ฒฐ๊ณผ:

  • HS ์•Œ๊ณ ๋ฆฌ์ฆ˜์œผ๋กœ ๊ฐœ๋ฐœ๋œ ๋ชจ๋ธ์€ ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ) 0.672๋ฅผ ๊ธฐ๋กํ•˜์—ฌ, ๋น„๊ต๋œ 6๊ฐ€์ง€ ๋ฐฉ๋ฒ• ์ค‘ ๊ฐ€์žฅ ๋†’์€ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ๋ณด์˜€๋‹ค.
  • HS ๋ชจ๋ธ์˜ ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ(MAPE)๋Š” 3.448๋กœ, 112 ์ด์ƒ์ธ ๋‹ค๋ฅธ ๋ชจ๋“  ๋ชจ๋ธ์— ๋น„ํ•ด ํš๊ธฐ์ ์œผ๋กœ ๋‚ฎ์•˜๋‹ค.
  • HS ๋ชจ๋ธ์€ RMSE(2์œ„)์™€ MAE(1์œ„)์—์„œ๋„ ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์˜€๋‹ค.
  • ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” HS ๋ฐฉ๋ฒ•์œผ๋กœ ๋ณด์ •๋œ ๋ฐฉ์ •์‹์ด ๊ธฐ์กด ๋ฐฉ์ •์‹๋ณด๋‹ค ์•ฝ 16% ๋” ๋‚˜์€ ์ถ”์ • ์„ฑ๋Šฅ์„ ๊ฐ€์ง€๋ฉฐ, ๋ณตํ•ฉ ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ถ”์ •ํ•˜๋Š” ๋ฐ ๋งค์šฐ ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ์ž„์„ ๋‚˜ํƒ€๋‚ธ๋‹ค.
Figure 3. Comparison of the observed and predicted scour depths
Figure 3. Comparison of the observed and predicted scour depths

๊ทธ๋ฆผ ๋ชฉ๋ก:

  • Figure 1. Complex pier geometry characteristics
  • Figure 2. HS algorithm indicating five steps to optimize the problem
  • Figure 3. Comparison of the observed and predicted scour depths

7. ๊ฒฐ๋ก :

๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ณตํ•ฉ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ํ‰ํ˜• ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์„ ์œ„ํ•œ ๋ณด์ •๋œ ๋ฐฉ์ •์‹์„ ์ œ์•ˆํ–ˆ๋‹ค. ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์˜ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด HS ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๊ฒฐ๊ณผ๋ฅผ HEC-18, FDOT, Coleman ๊ณต์‹ ๋“ฑ ๋‹ค๋ฅธ ๊ฒฝํ—˜์  ๊ณต์‹๊ณผ ๋น„๊ตํ–ˆ๋‹ค. HS ๋ฐฉ๋ฒ•์€ ๊ฒฐ์ •๊ณ„์ˆ˜ 0.672๋กœ ๋‹ค๋ฅธ ๊ฒฝํ—˜์  ๊ณต์‹๋“ค๋ณด๋‹ค ๋” ์ •๋ฐ€ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, HS๋Š” ๋‹ค๋ฅธ ๋ฐฉ๋ฒ•๋“ค๊ณผ ๋น„๊ตํ•˜์—ฌ RMSE์—์„œ 2์œ„, MAPE์—์„œ 1์œ„๋ฅผ ์ฐจ์ง€ํ–ˆ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ HS๋Š” ๋‹ค๋ฅธ ๋ชจ๋ธ๋“ค์— ๋น„ํ•ด ๋” ๋‚˜์€ ํšจ์œจ์„ฑ์„ ๋ณด์˜€๋‹ค(MAE=0.035, MAPE=3.448, bias=0.023). ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” HS ๋ฐฉ๋ฒ•์œผ๋กœ ๋งŒ๋“ค์–ด์ง„ ๋ณด์ •๋œ ๋ฐฉ์ •์‹์ด ๋ณตํ•ฉ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ๊นŠ์ด๋ฅผ ์ถ”์ •ํ•˜๋Š” ๋ฐ ๊ฐ•๋ ฅํ•˜๋ฉฐ, ๊ธฐ์กด ๋ฐฉ์ •์‹๋ณด๋‹ค 16% ๋” ๋‚˜์€ ์ถ”์ • ์„ฑ๋Šฅ์„ ๊ฐ€์ง์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค.

8. ์ฐธ๊ณ  ๋ฌธํ—Œ:

  • [1] Kothyari, U.C., Garde, R.J.m Ranja Raju, K.G. “Temporal variation of scour around circular bridge piers.” J. Hyd. Eng. 118 (1992): 1091-1106. Doi: 10.1061/(ASCE)0733-9429(1992)118:8(1091).
  • [2] Raudkivi, A.J. “Functional trends of scour at bridge piers.” J. Hydraul. Eng. 112 (1986): 1-13. Doi: 10.1061/(ASCE)0733-9429(1986)112:1(1).
  • [3] Melville, B.W. “Pier and abutment scour: integrated approach.” J. Hydraul. Eng. 123 (1997): 125-136. Doi: 10.1061/(ASCE)0733-9429(1997)123:2(125).
  • [4] Ettema, R., Mostafa, E.A., Melville, B.W., Yassin, A.A. “Local scour at skewed piers.” J. Hydraul. Eng. 124 (1998): 756-759. Doi: 10.1061/(ASCE)0733-9429(1998)124:7(756).
  • [5] Salim, M., Jones, J.S.”Scour around exposed pile foundations.โ€ Richardson, P., Lagasse, B., ASCE (eds) ASCE compendium, stream stability, scour at highway bridges, Resston, VA (1998): 349-364.
  • [6] Zhao, G., Sheppard, D.M. “The effect of flow angle on sediment scour near pile group.” Compilation of Conf. scour Papers, (1998): 1991-1998, ASCE, Reston, Va.
  • [7] Sumer, B.M., Bundgaard, K., Fredsoe, J. โ€œGlobal, Local scour at pile group.” 15th international offshore polar engineering conference. International Society of offshore, Polar Engineers, Seoul, Korea, (2005): 577-583.
  • [8] Amini, A., Melville, B.W., Thamer, M.A., Ghazali, A.H. “Clear-water local scour around pile groups in shallow-water flow.” J. Hydraul. Eng. 138 (2012): 177-185. doi:10.1061/(ASCE)HY.1943-7900.0000488.
  • [9] Melville, B.W., Raudkivi, A.J. “Effects of foundation geometry on bridge pier scour.” J. Hydraul. Eng. 122 (1996): 203-209. doi:10.1061/(ASCE)0733-9429(1996)122:4(203).
  • [10] Coleman, S.E. “Clearwater local scour at complex piers.” J. Hydraul. Eng. 131 (2005):.330-334. doi:10.1061/(ASCE)0733-9429(1996)122:4(203).
  • … (and other references as listed in the paper)

์ „๋ฌธ๊ฐ€ Q&A: ๊ถ๊ธˆ์ฆ ํ•ด์†Œ

Q1: ์ด ์—ฐ๊ตฌ์—์„œ ๋‹ค๋ฅธ AI ๊ธฐ๋ฒ•(์˜ˆ: ์ธ๊ณต์‹ ๊ฒฝ๋ง)์ด ์•„๋‹Œ ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰(HS) ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์„ ํƒํ•œ ํŠน๋ณ„ํ•œ ์ด์œ ๊ฐ€ ์žˆ๋‚˜์š”?

A1: ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹ค๋ฅธ ์—ฐ๊ตฌ(Dai et al. [21])๋ฅผ ์ธ์šฉํ•˜๋ฉฐ HS๊ฐ€ ๋‹ค์ค‘ ๋ชฉํ‘œ ์ตœ์ ํ™” ๋ฌธ์ œ์—์„œ ๋” ๋‚˜์€ ์™ธ์‚ฝ(extrapolation) ๋ฐ ํ™œ์šฉ(exploitation) ๋Šฅ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ์Œ์„ ์–ธ๊ธ‰ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, HS๋Š” ์ „๋ ฅ ์‹œ์Šคํ…œ, ํ†ต์‹ , ์ˆ˜์ž์› ๊ณตํ•™ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์˜ ์ตœ์ ํ™” ๋ฌธ์ œ ํ•ด๊ฒฐ์— ์„ฑ๊ณต์ ์œผ๋กœ ์ ์šฉ๋˜์–ด ๊ทธ ์œ ํšจ์„ฑ์ด ์ž…์ฆ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฐ๊ฒฝ์€ ๋ณต์žกํ•œ ๋ณ€์ˆ˜ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์ตœ์ ํ™”ํ•ด์•ผ ํ•˜๋Š” ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก ๋ฌธ์ œ์— HS๊ฐ€ ๊ฐ•๋ ฅํ•œ ํ›„๋ณด๊ฐ€ ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

Q2: HS ๋ชจ๋ธ์˜ MAPE(ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ)๊ฐ€ 3.448๋กœ ๋‹ค๋ฅธ ๋ชจ๋ธ๋“ค์˜ 100 ์ด์ƒ์ธ ๊ฐ’๊ณผ ๋น„๊ตํ•ด ๊ทน์ ์œผ๋กœ ๋‚ฎ์€๋ฐ, ์ด๋Ÿฌํ•œ ์„ฑ๋Šฅ ์ฐจ์ด์˜ ์ฃผ๋œ ์›์ธ์€ ๋ฌด์—‡์ธ๊ฐ€์š”?

A2: ๊ฐ€์žฅ ํฐ ์ฐจ์ด๋Š” ์ ‘๊ทผ ๋ฐฉ์‹์— ์žˆ์Šต๋‹ˆ๋‹ค. ๊ธฐ์กด์˜ ๊ฒฝํ—˜์  ๊ณต์‹๋“ค์€ ๊ณ ์ •๋œ ๊ณ„์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํŠน์ • ์กฐ๊ฑด ๋ฒ”์œ„์—์„œ๋งŒ ์ž˜ ์ž‘๋™ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, HS ๋ชจ๋ธ์€ ๋ฐฉ๋Œ€ํ•œ ์‹ค์ œ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ธฐ์กด ๊ณต์‹์˜ ๊ณ„์ˆ˜๋“ค์„ ‘์ตœ์ ํ™”’ ๋˜๋Š” ‘๋ณด์ •’ํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ์ ‘๊ทผ๋ฒ•์„ ํ†ตํ•ด ๊ต๊ฐ ํ˜•์ƒ, ์œ ๋™ ์กฐ๊ฑด ๋“ฑ ์—ฌ๋Ÿฌ ๋ณ€์ˆ˜ ๊ฐ„์˜ ๋ณต์žกํ•˜๊ณ  ๋น„์„ ํ˜•์ ์ธ ๊ด€๊ณ„๋ฅผ ํ›จ์”ฌ ๋” ํšจ๊ณผ์ ์œผ๋กœ ํฌ์ฐฉํ•  ์ˆ˜ ์žˆ์—ˆ๊ณ , ์ด๊ฒƒ์ด ์˜ˆ์ธก ์˜ค์ฐจ๋ฅผ ํš๊ธฐ์ ์œผ๋กœ ์ค„์ธ ํ•ต์‹ฌ ์š”์ธ์ž…๋‹ˆ๋‹ค.

Q3: ์—ฐ๊ตฌ์— ์‚ฌ์šฉ๋œ ์ด 697๊ฐœ์˜ ๋ฐฉ๋Œ€ํ•œ ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ์„ ์ •ํ•  ๋•Œ ๊ฐ€์žฅ ์ค‘์š”ํ•˜๊ฒŒ ๊ณ ๋ ค๋œ ๊ธฐ์ค€์€ ๋ฌด์—‡์ด์—ˆ๋‚˜์š”?

A3: ๋…ผ๋ฌธ์—์„œ๋Š” ๋ฐ์ดํ„ฐ ์„ ์ • ์‹œ Chiew์™€ Melville [28]์ด ์ œ์•ˆํ•œ ๊ธฐ์ค€์„ ๋”ฐ๋ž๋‹ค๊ณ  ๋ช…์‹œํ•ฉ๋‹ˆ๋‹ค. ์ฃผ์š” ๊ธฐ์ค€์œผ๋กœ๋Š” ์ฒซ์งธ, ๊ต๊ฐ ํญ ๋Œ€ ํ‡ด์ ๋ฌผ ์ค‘์•™ ์ž…์ž ํฌ๊ธฐ์˜ ๋น„(b/d50)๊ฐ€ 50๋ณด๋‹ค ์ปค์„œ ํ‡ด์ ๋ฌผ ํฌ๊ธฐ์˜ ์˜ํ–ฅ์„ ๋ฐฐ์ œํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‘˜์งธ, ์ˆ˜๋กœ ํญ ๋Œ€ ๊ต๊ฐ ํญ์˜ ๋น„๊ฐ€ 6.5๋ณด๋‹ค ์ปค์„œ ์ˆ˜๋กœ ์ธก๋ฒฝ์˜ ์˜ํ–ฅ์„ ๋ฌด์‹œํ•  ์ˆ˜ ์žˆ๋„๋ก ํ–ˆ์Šต๋‹ˆ๋‹ค. ์…‹์งธ, ์ˆ˜์‹ฌ ๋Œ€ ๊ต๊ฐ ํญ์˜ ๋น„๊ฐ€ 3-4๋ณด๋‹ค ์ปค์„œ ์„ธ๊ตด ๊นŠ์ด๊ฐ€ ์ˆ˜์‹ฌ์— ๋…๋ฆฝ์ ์ด ๋˜๋„๋ก ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์—„๊ฒฉํ•œ ๊ธฐ์ค€์„ ํ†ตํ•ด ๋ฐ์ดํ„ฐ๊ฐ€ ์˜ค์ง ๊ต๊ฐ์˜ ๊ธฐํ•˜ํ•™์  ํ˜•์ƒ๊ณผ ํ๋ฆ„์˜ ์ƒํ˜ธ์ž‘์šฉ์— ์˜ํ•œ ํšจ๊ณผ์— ์ง‘์ค‘๋˜๋„๋ก ํ–ˆ์Šต๋‹ˆ๋‹ค.

Q4: Figure 3(f)๋ฅผ ๋ณด๋ฉด HS ๋ชจ๋ธ๋„ ์•ฝ๊ฐ„์˜ ๋ฐ์ดํ„ฐ ๋ถ„์‚ฐ์ด ์กด์žฌํ•ฉ๋‹ˆ๋‹ค. ์ด ๋‚˜๋จธ์ง€ ์˜ค์ฐจ์˜ ์ž ์žฌ์ ์ธ ์›์ธ์€ ๋ฌด์—‡์ผ๊นŒ์š”?

A4: ๋…ผ๋ฌธ์€ ์ด์ „ ์—ฐ๊ตฌ๋“ค์—์„œ ๊ด€์ธก๋œ ์„ธ๊ตด ๊นŠ์ด ๋ฐ์ดํ„ฐ ์ž์ฒด์— “์ƒ๋‹นํ•œ ์ •๋„์˜ ๋ฐ์ดํ„ฐ ๋ถ„์‚ฐ”์ด ์กด์žฌํ•œ๋‹ค๊ณ  ์ง€์ ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ์—ฌ๋Ÿฌ ๋‹ค๋ฅธ ์‹คํ—˜์‹ค์—์„œ ์ˆ˜ํ–‰๋œ ์‹คํ—˜๋“ค ๊ฐ„์˜ ๋ฏธ์„ธํ•œ ์ธก์ • ์˜ค์ฐจ, ํฌ์ฐฉ๋˜์ง€ ์•Š์€ 2์ฐจ ์œ ๋™ ํšจ๊ณผ, ๋˜๋Š” ๋‚œ๋ฅ˜์˜ ๋ณธ์งˆ์ ์ธ ๋ฌด์ž‘์œ„์„ฑ ๋“ฑ ์‹คํ—˜ ์œ ์ฒด ์—ญํ•™์— ๋‚ด์žฌ๋œ ๋ถˆํ™•์‹ค์„ฑ์—์„œ ๋น„๋กฏ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. HS ๋ชจ๋ธ์ด ์ด๋Ÿฌํ•œ ๋ฐ์ดํ„ฐ์˜ ๋‚ด์žฌ์  ๋ณ€๋™์„ฑ๊นŒ์ง€ ์™„๋ฒฝํ•˜๊ฒŒ ์„ค๋ช…ํ•˜๊ธฐ๋Š” ์–ด๋ ต๊ธฐ ๋•Œ๋ฌธ์— ์•ฝ๊ฐ„์˜ ์˜ค์ฐจ๊ฐ€ ๋‚จ๋Š” ๊ฒƒ์€ ์ž์—ฐ์Šค๋Ÿฌ์šด ํ˜„์ƒ์ž…๋‹ˆ๋‹ค.

Q5: ๊ฒฐ๋ก ์—์„œ HS ๋ฐฉ๋ฒ•์ด “๊ธฐ์กด ๋ฐฉ์ •์‹๋ณด๋‹ค 16% ๋” ๋‚˜์€ ์ถ”์ • ์„ฑ๋Šฅ”์„ ๊ฐ–๋Š”๋‹ค๊ณ  ํ–ˆ๋Š”๋ฐ, ์ด 16%๋Š” ์–ด๋–ป๊ฒŒ ๊ณ„์‚ฐ๋œ ๊ฒƒ์ธ๊ฐ€์š”?

A5: ์ด ์ˆ˜์น˜๋Š” ๋ชจ๋ธ์˜ ์„ค๋ช…๋ ฅ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฐ์ •๊ณ„์ˆ˜(Rยฒ)์˜ ์ƒ๋Œ€์  ํ–ฅ์ƒ๋ฅ ์„ ์˜๋ฏธํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์Šต๋‹ˆ๋‹ค. HS ๋ชจ๋ธ์„ ์ œ์™ธํ•˜๊ณ  ๊ฐ€์žฅ ์„ฑ๋Šฅ์ด ์ข‹์€ ๋ชจ๋ธ์€ ‘์ˆ˜์ •๋œ Coleman’ ๋ชจ๋ธ๋กœ Rยฒ ๊ฐ’์ด 0.579์˜€์Šต๋‹ˆ๋‹ค. HS ๋ชจ๋ธ์˜ Rยฒ ๊ฐ’์€ 0.672์ž…๋‹ˆ๋‹ค. ๋‘ ๊ฐ’์˜ ์ƒ๋Œ€์  ๊ฐœ์„ ์œจ์„ ๊ณ„์‚ฐํ•˜๋ฉด (0.672 – 0.579) / 0.579 โ‰ˆ 0.16, ์ฆ‰ ์•ฝ 16%๊ฐ€ ๋ฉ๋‹ˆ๋‹ค. ์ด๋Š” HS ๋ชจ๋ธ์ด ๊ธฐ์กด ์ตœ์ƒ์˜ ๋ชจ๋ธ๋ณด๋‹ค ๋ฐ์ดํ„ฐ์˜ ๋ณ€๋™์„ฑ์„ 16% ๋” ์ž˜ ์„ค๋ช…ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.


๊ฒฐ๋ก : ๋” ๋†’์€ ํ’ˆ์งˆ๊ณผ ์ƒ์‚ฐ์„ฑ์„ ํ–ฅํ•œ ๊ธธ

์š”์•ฝํ•˜์ž๋ฉด, ์ด ์—ฐ๊ตฌ๋Š” ํ•˜๋ชจ๋‹ˆ ํƒ์ƒ‰ ์ตœ์ ํ™”๊ฐ€ ๋ณตํ•ฉ ๊ต๋Ÿ‰ ๊ต๊ฐ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก์˜ ์ •ํ™•๋„๋ฅผ ํš๊ธฐ์ ์œผ๋กœ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ์„ ๋ช…ํ™•ํžˆ ๋ณด์—ฌ์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค. ๊ธฐ์กด ๊ฒฝํ—˜์  ๊ณต์‹์˜ ํ•œ๊ณ„๋ฅผ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ์ตœ์ ํ™”๋กœ ๊ทน๋ณตํ•จ์œผ๋กœ์จ, ์—”์ง€๋‹ˆ์–ด๋“ค์€ ๋” ์•ˆ์ „ํ•˜๊ณ  ๊ฒฝ์ œ์ ์ธ ๊ต๋Ÿ‰ ์„ค๊ณ„๋ฅผ ์œ„ํ•œ ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ๋ฅผ ์–ป๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋ณต์žกํ•œ ์œ ์ฒด์—ญํ•™ ๋ฌธ์ œ ํ•ด๊ฒฐ์— ์žˆ์–ด ์ง„๋ณด๋œ ์ˆ˜์น˜ ํ•ด์„ ๋ฐ AI ๊ธฐ๋ฒ•์˜ ์ค‘์š”์„ฑ์„ ๋‹ค์‹œ ํ•œ๋ฒˆ ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค.

(์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””์—์„œ๋Š” ๊ณ ๊ฐ์ด ์ˆ˜์น˜ํ•ด์„์„ ์ง์ ‘ ์ˆ˜ํ–‰ํ•˜๊ณ  ์‹ถ์ง€๋งŒ ๊ฒฝํ—˜์ด ์—†๊ฑฐ๋‚˜, ์‹œ๊ฐ„์ด ์—†์–ด์„œ ์šฉ์—ญ์„ ํ†ตํ•ด ์ˆ˜์น˜ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ์–ป๊ณ ์ž ํ•˜๋Š” ๊ฒฝ์šฐ ์ „๋ฌธ ์—”์ง€๋‹ˆ์–ด๋ฅผ ํ†ตํ•ด CFD consulting services๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ท€ํ•˜๊ป˜์„œ ๋‹น๋ฉดํ•˜๊ณ  ์žˆ๋Š” ์—ฐ๊ตฌํ”„๋กœ์ ํŠธ๋ฅผ ์ตœ์†Œ์˜ ๋น„์šฉ์œผ๋กœ, ์ตœ์ ์˜ ํ•ด๊ฒฐ๋ฐฉ์•ˆ์„ ์ฐพ์„ ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

  • ์—ฐ๋ฝ์ฒ˜ : 02-2026-0442
  • ์ด๋ฉ”์ผ : flow3d@stikorea.co.kr

์ €์ž‘๊ถŒ ์ •๋ณด

  • ์ด ์ฝ˜ํ…์ธ ๋Š” “[H. Ghodsi, M. J. Khanjani, A. A. Beheshti]”์˜ ๋…ผ๋ฌธ “[Evaluation of Harmony Search Optimization to Predict Local Scour Depth around Complex Bridge Piers]”๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์š”์•ฝ ๋ฐ ๋ถ„์„ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค.
  • ์ถœ์ฒ˜: http://dx.doi.org/10.28991/cej-0309100

๋ณธ ์ž๋ฃŒ๋Š” ์ •๋ณด ์ œ๊ณต ๋ชฉ์ ์œผ๋กœ๋งŒ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋ฌด๋‹จ ์ƒ์—…์  ์‚ฌ์šฉ์„ ๊ธˆํ•ฉ๋‹ˆ๋‹ค. Copyright ยฉ 2025 STI C&D. All rights reserved.

Fig. 4: Downstream TKE contours on the x-z vertical plane for the rectangular trash rack: (a) experimental data of Koczula (2016) and (b) CFD model data with Darcy-Forchheimer porous media approach. ๐›ผ = 30ยฐ, ๐‘ =20 mm, ๐‘ˆ0 = 0.5 m/s, ๐น๐‘Ÿ1 = 0.206.

์ทจ์ˆ˜๊ตฌ์˜ ์œ ์† ๋ฐ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€ ์˜ˆ์ธก์„ ์œ„ํ•œ Darcy-Forchheimer ๋ชจ๋ธ ์—ฐ๊ตฌ

์ทจ์ˆ˜๊ตฌ์˜ ์œ ์† ๋ฐ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€ ์˜ˆ์ธก์„ ์œ„ํ•œ Darcy-Forchheimer ๋ชจ๋ธ ์—ฐ๊ตฌ

Velocity and Turbulent Kinetic Energy Prediction with Darcy-Forchheimer Model for Water Intakes

๋ณธ ๋ณด๊ณ ์„œ๋Š” ์ˆ˜๋ ฅ ๋ฐœ์ „์†Œ ์ทจ์ˆ˜๊ตฌ ์ฃผ๋ณ€์˜ ์œ ๋™์žฅ ๋ฐ ๋‚œ๋ฅ˜ ํŠน์„ฑ์„ Darcy-Forchheimer ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ๊ณผ LES(Large Eddy Simulation)๋ฅผ ๊ฒฐํ•ฉํ•˜์—ฌ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ๋‹ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์‹ค์ œ ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ ๋Œ€์‹  ๋‹ค๊ณต์„ฑ ๋งค์งˆ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์‚ฐ ํšจ์œจ์„ฑ์„ ๋†’์ด๋ฉด์„œ๋„ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ์œ ์ง€ํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค.

Paper Metadata

  • Industry: ์ˆ˜๋ ฅ ๋ฐœ์ „ (Hydropower) / ํ† ๋ชฉ ๊ณตํ•™ (Civil Engineering)
  • Material: ์ทจ์ˆ˜๊ตฌ ์Šคํฌ๋ฆฐ (Oppermann ๋ฐ ์ง์‚ฌ๊ฐํ˜• ํ”„๋กœํŒŒ์ผ)
  • Process: CFD ์ˆ˜์น˜ ํ•ด์„ ๋ฐ ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ๋ง

Keywords

  • Water Intake
  • CFD Modeling
  • Darcy-Forchheimer Model
  • LES
  • Flow Field
  • Turbulent Kinetic Energy

Executive Summary

Research Architecture

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜๋ ฅ ๋ฐœ์ „์†Œ์˜ ์ทจ์ˆ˜๊ตฌ ์žฅ๋ฒฝ์„ ๋‹ค๊ณต์„ฑ ๋งค์งˆ๋กœ ๋ชจ๋ธ๋งํ•˜๋Š” ์ˆ˜์น˜ ํ•ด์„ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ๊ตฌ์ถ•ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์‹คํ—˜ ๋ฐ์ดํ„ฐ(Koczula, 2016)๋ฅผ ์ฐธ์กฐ ์‚ฌ๋ก€๋กœ ์„ค์ •ํ•˜์—ฌ ์ง์‚ฌ๊ฐํ˜• ํ”„๋กœํŒŒ์ผ๊ณผ ์œ ์„ ํ˜•์ธ Oppermann ํ”„๋กœํŒŒ์ผ ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์„ ๋ถ„์„ ๋Œ€์ƒ์œผ๋กœ ์„ ์ •ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๋‚œ๋ฅ˜ ํ•ด์„์„ ์œ„ํ•ด LES(Large Eddy Simulation) ๋ชจ๋ธ์„ ์ ์šฉํ•˜์˜€์œผ๋ฉฐ, ์ทจ์ˆ˜๊ตฌ์˜ ์„ค์น˜ ๊ฐ๋„๋ฅผ 30ยฐ์™€ 45ยฐ๋กœ ๋ณ€ํ™”์‹œํ‚ค๋ฉฐ ์œ ๋™ ํŠน์„ฑ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๋‹ค๊ณต์„ฑ ๋งค์งˆ์˜ ํŠน์„ฑ์„ ์ •์˜ํ•˜๊ธฐ ์œ„ํ•ด Darcy-Forchheimer ๋ชจ๋ธ์˜ ํ•ญ๋ ฅ ๊ณ„์ˆ˜ A์™€ B๋ฅผ ์‹คํ—˜ ๊ฒฐ๊ณผ๋กœ๋ถ€ํ„ฐ ๋„์ถœํ•˜์—ฌ ์ ์šฉํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Key Findings

์ˆ˜์น˜ ํ•ด์„ ๊ฒฐ๊ณผ, ์œ ์† ๋ฐ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€(TKE) ์˜ˆ์ธก์— ๋Œ€ํ•œ ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ(MAPE)๊ฐ€ ๋ชจ๋“  ์ผ€์ด์Šค์—์„œ 10% ๋ฏธ๋งŒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ๋†’์€ ์‹ ๋ขฐ์„ฑ์„ ํ™•์ธํ•˜์˜€์Šต๋‹ˆ๋‹ค. ํŠนํžˆ 30ยฐ ๊ฐ๋„๋กœ ์„ค์น˜๋œ Oppermann ํ”„๋กœํŒŒ์ผ์˜ ๊ฒฝ์šฐ ์œ ์† ์˜ค์ฐจ 4.6%, TKE ์˜ค์ฐจ 4.0%๋กœ ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•œ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ๊ธฐ๋กํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ์„ ์ ์šฉํ•จ์œผ๋กœ์จ ์‹ค์ œ ๋ฐ”(bar)์˜ ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ๋ฅผ ์ง์ ‘ ๋ชจ๋ธ๋งํ•  ๋•Œ๋ณด๋‹ค ๊ฒฉ์ž ์ˆ˜๋ฅผ ๋Œ€ํญ ์ค„์ผ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ์ด๋Š” ๊ณ„์‚ฐ ๋น„์šฉ๊ณผ ํ•ด์„ ์‹œ๊ฐ„์˜ ํš๊ธฐ์ ์ธ ์ ˆ๊ฐ์œผ๋กœ ์ด์–ด์กŒ์Šต๋‹ˆ๋‹ค. LES ๋ชจ๋ธ์€ RANS ๋ชจ๋ธ๋ณด๋‹ค 3D ์œ ๋™ ์˜์—ญ ๋‚ด์˜ ๋ณต์žกํ•œ ์™€๋ฅ˜ ๊ตฌ์กฐ๋ฅผ ๋” ์ •๋ฐ€ํ•˜๊ฒŒ ํฌ์ฐฉํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

Industrial Applications

์ด ์—ฐ๊ตฌ์—์„œ ๊ฒ€์ฆ๋œ Darcy-Forchheimer ๊ธฐ๋ฐ˜ ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•์€ ๋Œ€๊ทœ๋ชจ ์ˆ˜๋ ฅ ๋ฐœ์ „ ์‹œ์„ค์˜ ์ทจ์ˆ˜ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„ ์‹œ ์œ ๋™ ์ €ํ•ญ ๋ฐ ๋‚œ๋ฅ˜ ๋ถ€ํ•˜๋ฅผ ์‹ ์†ํ•˜๊ฒŒ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ ์–ด๋ฅ˜ ๋ณดํ˜ธ๋ฅผ ์œ„ํ•œ ๋ฏธ์„ธ ์Šคํฌ๋ฆฐ(fine screen) ์„ค๊ณ„ ์‹œ, ๋ณต์žกํ•œ ๊ธฐํ•˜ํ•™์  ํ˜•์ƒ์„ ๋‹จ์ˆœํ™”ํ•˜์—ฌ ํ•ด์„ํ•จ์œผ๋กœ์จ ์„ค๊ณ„ ์ตœ์ ํ™” ๋‹จ๊ณ„์—์„œ์˜ ๋ฐ˜๋ณต์ ์ธ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹œ๊ฐ„์„ ๋‹จ์ถ•ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ์ทจ์ˆ˜๊ตฌ ์ฃผ๋ณ€์˜ ์ˆ˜๋ฆฌ์  ์กฐ๊ฑด์„ ๊ฐœ์„ ํ•˜์—ฌ ์ˆ˜๋ ฅ ๋ฐœ์ „ ํšจ์œจ์„ ๋†’์ด๊ณ  ๊ตฌ์กฐ์  ์•ˆ์ •์„ฑ์„ ํ™•๋ณดํ•˜๋Š” ์—”์ง€๋‹ˆ์–ด๋ง ์˜์‚ฌ ๊ฒฐ์ • ์ง€์› ๋„๊ตฌ๋กœ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.


Theoretical Background

Darcy-Forchheimer Porous Media Model

Darcy-Forchheimer ๋ชจ๋ธ์€ ๋‹ค๊ณต์„ฑ ์˜์—ญ์„ ํ†ต๊ณผํ•˜๋Š” ์œ ์ฒด์˜ ์••๋ ฅ ๊ฐ•ํ•˜๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๋ฐ˜๊ฒฝํ—˜์  ๊ด€๊ณ„์‹์ž…๋‹ˆ๋‹ค. ์ด ๋ชจ๋ธ์€ ์œ ์ฒด์˜ ์ ์„ฑ์— ์˜ํ•œ ์ €ํ•ญ์„ ๋‚˜ํƒ€๋‚ด๋Š” Darcy ํ•ญ๊ณผ ์œ ์ฒด์˜ ๊ด€์„ฑ์— ์˜ํ•œ ์ €ํ•ญ์„ ๋‚˜ํƒ€๋‚ด๋Š” Forchheimer ํ•ญ์˜ ํ•ฉ์œผ๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค. ์ทจ์ˆ˜๊ตฌ ์Šคํฌ๋ฆฐ๊ณผ ๊ฐ™์ด ์œ ์†์ด ๋น„๊ต์  ๋น ๋ฅธ ์œ ๋™ ์กฐ๊ฑด์—์„œ๋Š” ๊ด€์„ฑ ์ €ํ•ญ์ด ์ง€๋ฐฐ์ ์ธ ์—ญํ• ์„ ํ•˜๋ฏ€๋กœ, Forchheimer ํ•ญ์„ ํฌํ•จํ•˜๋Š” ๊ฒƒ์ด ์ •ํ™•ํ•œ ์••๋ ฅ ๊ฐ•ํ•˜ ์˜ˆ์ธก์— ํ•„์ˆ˜์ ์ž…๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๊ฐ ํ”„๋กœํŒŒ์ผ ๋ฐ ๊ฐ๋„๋ณ„ ํ•ญ๋ ฅ ๊ณ„์ˆ˜๋ฅผ ์‚ฐ์ถœํ•˜์—ฌ ๋ชจ๋ธ์˜ ์ •ํ™•๋„๋ฅผ ๋†’์˜€์Šต๋‹ˆ๋‹ค.

Large Eddy Simulation (LES)

LES๋Š” ๋‚œ๋ฅ˜ ํ•ด์„ ๊ธฐ๋ฒ• ์ค‘ ํ•˜๋‚˜๋กœ, ๊ณ„์‚ฐ ๋„๋ฉ”์ธ ๋‚ด์˜ ํฐ ๊ทœ๋ชจ์˜ ์—๋„ˆ์ง€ ํ•จ์œ  ์™€๋ฅ˜(eddy)๋Š” ์ง์ ‘ ๊ณ„์‚ฐ(resolve)ํ•˜๊ณ , ๊ฒฉ์ž ํฌ๊ธฐ๋ณด๋‹ค ์ž‘์€ ๊ทœ๋ชจ์˜ ์™€๋ฅ˜๋Š” ์„œ๋ธŒ ๊ทธ๋ฆฌ๋“œ ์Šค์ผ€์ผ(sub-grid scale) ๋ชจ๋ธ์„ ํ†ตํ•ด ์ฒ˜๋ฆฌํ•˜๋Š” ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค. ์ทจ์ˆ˜๊ตฌ ์ฃผ๋ณ€์˜ ๋ณต์žกํ•œ ์œ ๋™ ํ˜„์ƒ๊ณผ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€์˜ ๊ณต๊ฐ„์  ๋ถ„ํฌ๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๋ฐ ์žˆ์–ด, ์‹œ๊ฐ„ ํ‰๊ท ๋œ ์œ ๋™๋งŒ์„ ๊ณ„์‚ฐํ•˜๋Š” RANS(Reynolds-Averaged Navier-Stokes) ๋ชจ๋ธ๋ณด๋‹ค ๋†’์€ ํ•ด์ƒ๋„์™€ ์ •ํ™•๋„๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ๋น„์ •์ƒ ์ƒํƒœ(unsteady) ์œ ๋™ ํŠน์„ฑ์„ ํฌ์ฐฉํ•˜๋Š” ๋ฐ ์œ ๋ฆฌํ•˜์—ฌ ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ๋†’์€ ์˜์—ญ์˜ ํ•ด์„์— ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค.

Results and Analysis

Experimental Setup

์ˆ˜์น˜ ํ•ด์„์˜ ๊ฒ€์ฆ์„ ์œ„ํ•ด 2m ํญ๊ณผ 30m ๊ธธ์ด๋ฅผ ๊ฐ€์ง„ ์‹คํ—˜์šฉ ์ˆ˜๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ˆ˜์‹ฌ์€ 0.6m, ์œ ๋Ÿ‰์€ 225 L/s๋กœ ์œ ์ง€๋˜์—ˆ์œผ๋ฉฐ, ์ ‘๊ทผ ํ”„๋ฃจ๋“œ ์ˆ˜(Froude number)๋Š” 0.206์œผ๋กœ ์„ค์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค. Oppermann ํ”„๋กœํŒŒ์ผ์€ ๋ฐ” ๊ฐ„๊ฒฉ 10mm, ์ง์‚ฌ๊ฐํ˜• ํ”„๋กœํŒŒ์ผ์€ 20mm์˜ ์กฐ๊ฑด์„ ๊ฐ€์ง‘๋‹ˆ๋‹ค. FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ๋Š” ์‹ค์ œ ๋ฐ” ํ˜•์ƒ ๋Œ€์‹  ๋‹ค๊ณต์„ฑ ์˜์—ญ์„ ์„ค์ •ํ•˜๊ณ , ์ž…๊ตฌ์—๋Š” ์œ ์† ๊ฒฝ๊ณ„ ์กฐ๊ฑด์„, ์ถœ๊ตฌ์—๋Š” ์••๋ ฅ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์„ ์ ์šฉํ•˜์—ฌ ์‹คํ—˜๊ณผ ๋™์ผํ•œ ์ˆ˜๋ฆฌ์  ํ™˜๊ฒฝ์„ ์žฌํ˜„ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Visual Data Summary

x-z ์ˆ˜์ง ํ‰๋ฉด์—์„œ์˜ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€(TKE) ๋“ฑ๊ณ ์„  ๋ถ„์„ ๊ฒฐ๊ณผ, ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ์„ ์ ์šฉํ•œ CFD ๊ฒฐ๊ณผ๊ฐ€ ์‹ค์ œ ๋ฐ” ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ๋ฅผ ์‚ฌ์šฉํ•œ ์‹คํ—˜์  TKE ๋ถ„ํฌ ํŒจํ„ด๊ณผ ๋งค์šฐ ์œ ์‚ฌํ•จ์„ ํ™•์ธํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ทจ์ˆ˜๊ตฌ ํ•˜๋ฅ˜์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋‚œ๋ฅ˜์˜ ๊ฐ•๋„์™€ ํ™•์‚ฐ ๋ฒ”์œ„๊ฐ€ ์ˆ˜์น˜์ ์œผ๋กœ ์ž˜ ๋ชจ์‚ฌ๋˜์—ˆ์œผ๋ฉฐ, ์ด๋Š” Darcy-Forchheimer ๋ชจ๋ธ๊ณผ LES์˜ ๊ฒฐํ•ฉ์ด ์ทจ์ˆ˜๊ตฌ ์ฃผ๋ณ€์˜ ๋ณต์žกํ•œ ๋‚œ๋ฅ˜ ๊ตฌ์กฐ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์žฌํ˜„ํ•  ์ˆ˜ ์žˆ์Œ์„ ์‹œ๊ฐ์ ์œผ๋กœ ์ฆ๋ช…ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ๋ฐ” ํ•˜๋‹จ๋ถ€์™€ ์ˆ˜๋ฉด ์ธ๊ทผ์˜ ๊ตญ๋ถ€์ ์ธ ๋‚œ๋ฅ˜ ์ง‘์ค‘ ํ˜„์ƒ์ด ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ์ผ์น˜ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€์Šต๋‹ˆ๋‹ค.

Variable Correlation Analysis

์‹คํ—˜ ๋ณ€์ˆ˜ ๋ถ„์„ ๊ฒฐ๊ณผ, ์ทจ์ˆ˜๊ตฌ์˜ ์„ค์น˜ ๊ฐ๋„๊ฐ€ 30ยฐ์—์„œ 45ยฐ๋กœ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์œ ๋™ ์ €ํ•ญ์ด ์ฆ๊ฐ€ํ•˜๊ณ  ์ด์— ๋”ฐ๋ฅธ ์˜ˆ์ธก ์˜ค์ฐจ์œจ๋„ ๋‹ค์†Œ ์ƒ์Šนํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€์Šต๋‹ˆ๋‹ค. ๋ฐ” ํ”„๋กœํŒŒ์ผ ํ˜•์ƒ ์ธก๋ฉด์—์„œ๋Š” ์œ ์„ ํ˜•์ธ Oppermann ํ”„๋กœํŒŒ์ผ์ด ์ง์‚ฌ๊ฐํ˜• ํ”„๋กœํŒŒ์ผ๋ณด๋‹ค ๋‚ฎ์€ ๋‚œ๋ฅ˜ ๊ฐ•๋„๋ฅผ ์ƒ์„ฑํ•˜๋ฉฐ, ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ์˜ˆ์ธก ์ •ํ™•๋„ ๋˜ํ•œ ๋” ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ์ด ์œ ์„ ํ˜• ๊ตฌ์กฐ๋ฌผ์— ์˜ํ•œ ์œ ๋™ ๋ฐ•๋ฆฌ ๋ฐ ์™€๋ฅ˜ ์ƒ์„ฑ์„ ๋ชจ์‚ฌํ•˜๋Š” ๋ฐ ์žˆ์–ด ๋” ์•ˆ์ •์ ์ธ ์„ฑ๋Šฅ์„ ๋ฐœํœ˜ํ•จ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ๊ฒฉ์ž ํฌ๊ธฐ ๋ฏผ๊ฐ๋„ ๋ถ„์„์—์„œ๋Š” 0.02m ์ดํ•˜์˜ ๊ฒฉ์ž์—์„œ ๊ฒฐ๊ณผ๊ฐ€ ์ˆ˜๋ ด๋˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€์Šต๋‹ˆ๋‹ค.


Paper Details

Velocity and Turbulent Kinetic Energy Prediction with Darcy-Forchheimer Model for Water Intakes

1. Overview

  • Title: Velocity and Turbulent Kinetic Energy Prediction with Darcy-Forchheimer Model for Water Intakes
  • Author: Cumhur Ozbey, Serhat Kucukali
  • Year: 2025
  • Journal: Proceedings of the 12th International Conference on Fluid Flow, Heat and Mass Transfer (FFHMT 2025)

2. Abstract

์ทจ์ˆ˜๊ตฌ ์ธ๊ทผ์˜ ์œ ๋™์žฅ ๋ฐ ๋‚œ๋ฅ˜ ํŠน์„ฑ์„ LES์™€ ๊ฒฐํ•ฉ๋œ Darcy-Forchheimer ๋‹ค๊ณต์„ฑ ๋งค์งˆ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜์น˜์ ์œผ๋กœ ๋ชจ๋ธ๋งํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ˆ˜๋ ฅ ๋ฐœ์ „์†Œ์—์„œ ์‚ฌ์šฉ๋˜๋Š” ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์˜ ์žฅ๋ฒฝ์ธ ์ง์‚ฌ๊ฐํ˜• ๋ฐ Oppermann ํ”„๋กœํŒŒ์ผ(๊ฐ๊ฐ ๋ฐ” ๊ฐ„๊ฒฉ b=20 mm ๋ฐ b=10 mm)์„ ๋ถ„์„ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๋‘ ํ”„๋กœํŒŒ์ผ ๋ชจ๋‘ ฮฑ=30ยฐ ๋ฐ ฮฑ=45ยฐ์˜ ๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ๊ฐ๋„์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ CFD ๊ฒฐ๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด ์œ ์†๊ณผ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€ ๋ชจ๋‘์—์„œ ํ—ˆ์šฉ ๊ฐ€๋Šฅํ•œ ์˜ค์ฐจ ๋ฒ”์œ„(10% ๋ฏธ๋งŒ)๋ฅผ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์ด๋Š” Darcy-Forchheimer ๋ชจ๋ธ์˜ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ์ž…์ฆํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ์ทจ์ˆ˜๊ตฌ๋ฅผ ๋‹ค๊ณต์„ฑ ๋งค์งˆ๋กœ ์ฒ˜๋ฆฌํ•จ์œผ๋กœ์จ ๊ณ„์‚ฐ ๋น„์šฉ๊ณผ ์‹œ๊ฐ„์„ ํฌ๊ฒŒ ์ ˆ๊ฐํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

3. Methodology

3.1. ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ๋ง: Darcy-Forchheimer ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ์ทจ์ˆ˜๊ตฌ ์Šคํฌ๋ฆฐ์„ ๋‹ค๊ณต์„ฑ ์˜์—ญ์œผ๋กœ ์ •์˜ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•ญ๋ ฅ ๊ณ„์ˆ˜ A์™€ B๋ฅผ ์‚ฐ์ถœํ•˜์—ฌ ์ ์šฉํ•จ.
3.2. ๋‚œ๋ฅ˜ ํ•ด์„ ๋ชจ๋ธ ์„ค์ •: FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด ๋‚ด์—์„œ ๋Œ€๊ทœ๋ชจ ์œ ๋™ ๊ตฌ์กฐ๋ฅผ ์ง์ ‘ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด LES(Large Eddy Simulation) ๋ชจ๋ธ์„ ์ฑ„ํƒํ•˜์—ฌ ์ˆ˜์น˜ ํ•ด์„์„ ์ˆ˜ํ–‰ํ•จ.
3.3. ์ˆ˜์น˜ ํ•ด์„ ๋„๋ฉ”์ธ ๋ฐ ๊ฒฝ๊ณ„ ์กฐ๊ฑด: 3D ์ˆ˜๋กœ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ  ์ทจ์ˆ˜๊ตฌ๋ฅผ 30ยฐ ๋ฐ 45ยฐ ๊ฐ๋„๋กœ ๋ฐฐ์น˜ํ•˜์˜€์œผ๋ฉฐ, ์ž…๊ตฌ ์œ ์†(0.5 m/s) ๋ฐ ์ถœ๊ตฌ ์••๋ ฅ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์„ ์„ค์ •ํ•จ.
3.4. ๊ฒฉ์ž ์ƒ์„ฑ ๋ฐ ๋ฏผ๊ฐ๋„ ๋ถ„์„: ๊ตฌ์กฐํ™”๋œ ์ง์‚ฌ๊ฐํ˜• ๊ฒฉ์ž๋ฅผ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ, ๋‹ค๊ณต์„ฑ ์˜์—ญ ์ธ๊ทผ์˜ ๊ฒฉ์ž๋ฅผ 0.005m๊นŒ์ง€ ์„ธ๋ถ„ํ™”ํ•˜์—ฌ ์ด 0.42×10^6๊ฐœ์˜ ๊ฒฉ์ž๋กœ ์ตœ์ ์˜ ์ˆ˜๋ ด์„ฑ์„ ํ™•๋ณดํ•จ.

Fig. 2: Three-dimensional CFD model for 30ยฐ angled case showing the porous medium (blue), measurement points (yellow), and
boundary conditions where V = velocity, P = specified pressure, and S = symmetry. The dimensions of the solution domain are given.
Fig. 2: Three-dimensional CFD model for 30ยฐ angled case showing the porous medium (blue), measurement points (yellow), and boundary conditions where V = velocity, P = specified pressure, and S = symmetry. The dimensions of the solution domain are given.

4. Key Results

๋ชจ๋“  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ผ€์ด์Šค์—์„œ ์œ ์† ๋ฐ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€์˜ MAPE(ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ)๊ฐ€ 10% ์ด๋‚ด๋กœ ์œ ์ง€๋˜์—ˆ์Šต๋‹ˆ๋‹ค. Oppermann ํ”„๋กœํŒŒ์ผ์˜ 30ยฐ ์„ค์น˜ ์กฐ๊ฑด์—์„œ ์œ ์† ์˜ค์ฐจ 4.6%, TKE ์˜ค์ฐจ 4.0%๋กœ ๊ฐ€์žฅ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋ณด์˜€์Šต๋‹ˆ๋‹ค. ์ง์‚ฌ๊ฐํ˜• ํ”„๋กœํŒŒ์ผ์˜ ๊ฒฝ์šฐ ์˜ค์ฐจ์œจ์ด ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์•˜์œผ๋‚˜(์œ ์† ์ตœ๋Œ€ 10.7%), ์—ฌ์ „ํžˆ ๊ณตํ•™์  ํ—ˆ์šฉ ๋ฒ”์œ„ ๋‚ด์— ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ๋ง์„ ํ†ตํ•ด ๊ฒฉ์ž ์ˆ˜๋ฅผ ํš๊ธฐ์ ์œผ๋กœ ์ค„์ž„์œผ๋กœ์จ ์‹ค์ œ ํ˜•์ƒ ๋ชจ๋ธ๋ง ๋Œ€๋น„ ๊ณ„์‚ฐ ์‹œ๊ฐ„์„ ๋Œ€ํญ ๋‹จ์ถ•ํ•˜๋Š” ์„ฑ๊ณผ๋ฅผ ๊ฑฐ๋‘์—ˆ์Šต๋‹ˆ๋‹ค.

Fig. 3: Downstream TKE contours on the x-z vertical plane for the Oppermann screen: (a) experimental data of Koczula (2016) and (b)
CFD model data with Darcy-Forchheimer porous media approach. ๐›ผ = 30ยฐ, ๐‘ =10 mm, ๐‘ˆ0 = 0.5 m/s, ๐น๐‘Ÿ1 = 0.206.
Fig. 3: Downstream TKE contours on the x-z vertical plane for the Oppermann screen: (a) experimental data of Koczula (2016) and (b) CFD model data with Darcy-Forchheimer porous media approach. ๐›ผ = 30ยฐ, ๐‘ =10 mm, ๐‘ˆ0 = 0.5 m/s, ๐น๐‘Ÿ1 = 0.206.
Fig. 4: Downstream TKE contours on the x-z vertical plane for the rectangular trash rack: (a) experimental data of Koczula (2016) and
(b) CFD model data with Darcy-Forchheimer porous media approach. ๐›ผ = 30ยฐ, ๐‘ =20 mm, ๐‘ˆ0 = 0.5 m/s, ๐น๐‘Ÿ1 = 0.206.
Fig. 4: Downstream TKE contours on the x-z vertical plane for the rectangular trash rack: (a) experimental data of Koczula (2016) and (b) CFD model data with Darcy-Forchheimer porous media approach. ๐›ผ = 30ยฐ, ๐‘ =20 mm, ๐‘ˆ0 = 0.5 m/s, ๐น๐‘Ÿ1 = 0.206.

5. Mathematical Models

$$V_{res} = \sqrt{u^2 + v^2 + w^2}$$ $$k = \frac{1}{2}(\overline{u’^2} + \overline{v’^2} + \overline{w’^2})$$ $$\tau_{ij} = -2\nu_t \bar{S}_{ij}$$ $$\bar{S}_{ij} = \frac{1}{2}\left( \frac{\partial \bar{u}_i}{\partial x_j} + \frac{\partial \bar{u}_j}{\partial x_i} \right)$$ $$-\nabla p = A|u_D|\mu \frac{(1-\phi)^2}{\phi^3} + B|u_D|^2 \rho \frac{(1-\phi)}{\phi^3}$$ $$MAPE (\%) = \frac{1}{n} \sum \left| \frac{Actual Value – Simulated Value}{Actual Value} \right| \times 100$$

Figure List

  1. Fig. 1: Oppermann ํ”„๋กœํŒŒ์ผ์˜ 3D ๋ชจ๋ธ ๋ฐ ์ƒ์„ธ ์น˜์ˆ˜
  2. Fig. 2: 30ยฐ ๊ฒฝ์‚ฌ ์ทจ์ˆ˜๊ตฌ ์ผ€์ด์Šค์˜ 3D CFD ๋ชจ๋ธ ๋ฐ ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •
  3. Fig. 3: Oppermann ์Šคํฌ๋ฆฐ ํ•˜๋ฅ˜ x-z ํ‰๋ฉด์˜ TKE ๋“ฑ๊ณ ์„  ๋น„๊ต (์‹คํ—˜ vs CFD)
  4. Fig. 4: ์ง์‚ฌ๊ฐํ˜• ์ทจ์ˆ˜๊ตฌ ํ•˜๋ฅ˜ x-z ํ‰๋ฉด์˜ TKE ๋“ฑ๊ณ ์„  ๋น„๊ต (์‹คํ—˜ vs CFD)

References

  1. Kastinger, M., et al. (2023). Passage of downstream moving fish at a bypass gate with bottom opening.
  2. Koczula, S. (2016). Hydraulic investigation of the effects of the angled flow on the fish screen.
  3. FLOW-3D User Manual (2016). Flow Science, Inc.
  4. Ozbey, C., & Kucukali, S. (2023). A numerical investigation of hydrodynamics of fish-friendly fine screens.

Technical Q&A

Q: ์ทจ์ˆ˜๊ตฌ ๋ชจ๋ธ๋ง์— Darcy-Forchheimer ๋ชจ๋ธ์„ ์ ์šฉํ•œ ์ฃผ๋œ ์ด์œ ๋Š” ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

์‹ค์ œ ์ทจ์ˆ˜๊ตฌ์˜ ์ˆ˜๋งŽ์€ ๋ฐ”(bar) ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ๋ฅผ ๋ชจ๋‘ ๋ชจ๋ธ๋งํ•  ๊ฒฝ์šฐ ๊ฒฉ์ž ์ˆ˜๊ฐ€ ๊ธฐํ•˜๊ธ‰์ˆ˜์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜์—ฌ ๊ณ„์‚ฐ ๋น„์šฉ์ด ๋งค์šฐ ์ปค์ง€๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. Darcy-Forchheimer ๋ชจ๋ธ์„ ํ†ตํ•œ ๋‹ค๊ณต์„ฑ ๋งค์งˆ ์ ‘๊ทผ ๋ฐฉ์‹์€ ์œ ๋™ ์ €ํ•ญ ํŠน์„ฑ์„ ์ˆ˜ํ•™์ ์œผ๋กœ ๋Œ€์ฒดํ•จ์œผ๋กœ์จ ๊ฒฉ์ž ์ˆ˜๋ฅผ ์ค„์ด๊ณ  ๊ณ„์‚ฐ ํšจ์œจ์„ฑ์„ ํš๊ธฐ์ ์œผ๋กœ ๋†’์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Q: LES ๋‚œ๋ฅ˜ ๋ชจ๋ธ์ด RANS ๋ชจ๋ธ๋ณด๋‹ค ์ด ์—ฐ๊ตฌ์—์„œ ์œ ๋ฆฌํ–ˆ๋˜ ์ ์€ ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

LES ๋ชจ๋ธ์€ 3D ์œ ๋™ ๋„๋ฉ”์ธ ๋‚ด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ณต์žกํ•œ ์™€๋ฅ˜ ๊ตฌ์กฐ๋ฅผ RANS ๋ชจ๋ธ๋ณด๋‹ค ๋” ๋†’์€ ํ•ด์ƒ๋„๋กœ ํฌ์ฐฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ ์ทจ์ˆ˜๊ตฌ ํ•˜๋ฅ˜์˜ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€ ๋ถ„ํฌ๋ฅผ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ–ˆ์„ ๋•Œ, LES๋Š” ๊ณต๊ฐ„์ ์ธ ๋‚œ๋ฅ˜ ํŠน์„ฑ์„ ๋” ์ •๋ฐ€ํ•˜๊ฒŒ ์žฌํ˜„ํ•˜์—ฌ ๋†’์€ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ์ œ๊ณตํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Q: ์—ฐ๊ตฌ์—์„œ ์‚ฌ์šฉ๋œ Oppermann ํ”„๋กœํŒŒ์ผ์˜ ์ˆ˜๋ฆฌ์  ์žฅ์ ์€ ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

Oppermann ํ”„๋กœํŒŒ์ผ์€ ์œ ์„ ํ˜• ํ˜•์ƒ์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด ์ง์‚ฌ๊ฐํ˜• ๋ฐ”์— ๋น„ํ•ด ์ˆ˜๋‘ ์†์‹ค์„ ์ค„์ด๊ณ  ์ฃผ๋ณ€ ์ˆ˜๋ฆฌ ์กฐ๊ฑด์„ ๊ฐœ์„ ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ๋‘ฅ๊ทผ ์•ž๋‚ ๊ณผ ๋งค๋„๋Ÿฌ์šด ํ‘œ๋ฉด์„ ํ†ตํ•ด ์–ด๋ฅ˜ ๋ณดํ˜ธ ์„ฑ๋Šฅ์ด ๋›ฐ์–ด๋‚˜๋ฉฐ, ์ˆ˜๋ ฅ ๋ฐœ์ „ ํšจ์œจ์„ ๋†’์ด๋Š” ๋ฐ ๊ธฐ์—ฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

Q: ์ˆ˜์น˜ ํ•ด์„ ๊ฒฐ๊ณผ์˜ ์‹ ๋ขฐ์„ฑ์„ ์–ด๋–ป๊ฒŒ ๊ฒ€์ฆํ•˜์˜€์Šต๋‹ˆ๊นŒ?

Koczula(2016)์˜ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ฐธ์กฐํ•˜์—ฌ ์œ ์†๊ณผ ๋‚œ๋ฅ˜ ์šด๋™ ์—๋„ˆ์ง€์— ๋Œ€ํ•ด MAPE(ํ‰๊ท  ์ ˆ๋Œ€ ๋ฐฑ๋ถ„์œจ ์˜ค์ฐจ) ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๋ชจ๋“  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๊ฐ€ 10% ์ด๋‚ด์˜ ์˜ค์ฐจ ๋ฒ”์œ„๋ฅผ ๊ธฐ๋กํ•˜์˜€์œผ๋ฉฐ, ์ด๋Š” ๊ธฐ์กด ๋ฌธํ—Œ์—์„œ ๋ณด๊ณ ๋œ ํ—ˆ์šฉ ๋ฒ”์œ„์™€ ์ผ์น˜ํ•˜์—ฌ ๋ชจ๋ธ์˜ ํƒ€๋‹น์„ฑ์„ ์ž…์ฆํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Q: ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ๋ง ์‹œ ํ•ญ๋ ฅ ๊ณ„์ˆ˜ A์™€ B๋Š” ์–ด๋–ป๊ฒŒ ๊ฒฐ์ •๋˜์—ˆ์Šต๋‹ˆ๊นŒ?

ํ•ญ๋ ฅ ๊ณ„์ˆ˜ A์™€ B๋Š” ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ Darcy-Forchheimer ์••๋ ฅ ๊ฐ•ํ•˜ ๊ด€๊ณ„์‹(์‹ 5)์„ ์‚ฌ์šฉํ•˜์—ฌ ์—ญ์‚ฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ฐ ํ”„๋กœํŒŒ์ผ ์œ ํ˜•(Oppermann, ์ง์‚ฌ๊ฐํ˜•)๊ณผ ์„ค์น˜ ๊ฐ๋„(30ยฐ, 45ยฐ)์— ๋”ฐ๋ผ ์ตœ์ ํ™”๋œ ๊ณ„์ˆ˜ ๊ฐ’์„ ์‚ฐ์ถœํ•˜์—ฌ ์ˆ˜์น˜ ๋ชจ๋ธ์— ์ž…๋ ฅ๊ฐ’์œผ๋กœ ์‚ฌ์šฉํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Conclusion

๋ณธ ์—ฐ๊ตฌ๋Š” Darcy-Forchheimer ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ชจ๋ธ๊ณผ LES๋ฅผ ๊ฒฐํ•ฉํ•˜์—ฌ ์ทจ์ˆ˜๊ตฌ ์ฃผ๋ณ€์˜ ์œ ๋™์žฅ ๋ฐ ๋‚œ๋ฅ˜ ํŠน์„ฑ์„ ์„ฑ๊ณต์ ์œผ๋กœ ์˜ˆ์ธกํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ˆ˜์น˜ ํ•ด์„ ๊ฒฐ๊ณผ๋Š” ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ 10% ์ด๋‚ด์˜ ์˜ค์ฐจ๋กœ ์ผ์น˜ํ•˜์—ฌ ๋ชจ๋ธ์˜ ๋†’์€ ์ •ํ™•๋„๋ฅผ ์ž…์ฆํ•˜์˜€์œผ๋ฉฐ, ํŠนํžˆ ์œ ์„ ํ˜• ํ”„๋กœํŒŒ์ผ์—์„œ ๋” ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์˜€์Šต๋‹ˆ๋‹ค. ๋‹ค๊ณต์„ฑ ๋งค์งˆ ์ ‘๊ทผ ๋ฐฉ์‹์€ ๊ณ„์‚ฐ ์ž์›์„ ์ ˆ์•ฝํ•˜๋ฉด์„œ๋„ ์ •๋ฐ€ํ•œ ์œ ๋™ ๋ถ„์„์ด ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•จ์œผ๋กœ์จ, ํ–ฅํ›„ ์ˆ˜๋ ฅ ๋ฐœ์ „ ์‹œ์„ค์˜ ํšจ์œจ์ ์ธ ์„ค๊ณ„ ๋ฐ ์ตœ์ ํ™” ๊ณผ์ •์— ์ค‘์š”ํ•œ ๊ธฐ์—ฌ๋ฅผ ํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋ฉ๋‹ˆ๋‹ค.


Source Information

Citation: Cumhur Ozbey, Serhat Kucukali (2025). Velocity and Turbulent Kinetic Energy Prediction with Darcy-Forchheimer Model for Water Intakes. Proceedings of the 12th International Conference on Fluid Flow, Heat and Mass Transfer (FFHMT 2025).

DOI/Link: 10.11159/ffhmt25.240

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Figure 4. Photographs of (a) experimental setup and (b) scour hole around the circular pier (M1)

๋‹ค์–‘ํ•œ ํ˜•์ƒ์˜ ๊ต๊ฐ ์ฃผ๋ณ€ ๊ตญ๋ถ€ ์„ธ๊ตด

๊ต๋Ÿ‰์˜ ์•ˆ์ „์„ ์œ„ํ˜‘ํ•˜๋Š” ‘ ๊ตญ๋ถ€ ์„ธ๊ตด(Local Scour)’์ด๋ผ๋Š” ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๊ต๊ฐ๋””์ž์ธ ์—ฐ๊ตฌ์ž…๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ๋‘ฅ๊ทผ ๊ต๊ฐ๋Œ€์‹ , ํŠน๋ณ„ํžˆ ์„ค๊ณ„๋œ ๊ต๊ฐ(M2, M3)์ด ์–ด๋–ป๊ฒŒ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์ตœ๋Œ€ 55%๊นŒ์ง€ ์ค„์ผ ์ˆ˜ ์žˆ๋Š”์ง€ ์‹คํ—˜์œผ๋กœ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ํŠนํžˆ, ๊ต๊ฐ์˜ ๋ชจ์–‘๊ณผ ๋ฐฐ์น˜(ํ˜ผ์ž ๋˜๋Š” ์ค„์ง€์–ด), ๊ทธ๋ฆฌ๊ณ  ๋ฌผ์˜ ํ๋ฆ„์— ๋Œ€ํ•œ ๊ธฐ์šธ๊ธฐ(๊ฒฝ์‚ฌ๊ฐ)๊ฐ€ ์„ธ๊ตด์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์ž์„ธํžˆ ๋ถ„์„ํ•˜์—ฌ, ์‹ค์ œ ๋‹ค๋ฆฌ๋ฅผ ์„ค๊ณ„ํ•  ๋•Œ ๊ฐ€์žฅ ์ข‹์€ ๊ต๊ฐ๋ชจ์–‘๊ณผ ๋ฐฐ์น˜๋ฅผ ์„ ํƒํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๊ตฌ์ฒด์ ์ธ ๋ฐฉ๋ฒ•์„ ์•Œ๋ ค์ค๋‹ˆ๋‹ค. ๋˜ํ•œ, m5 ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜์—ฌ, ๊ธฐ์กด์˜ ์˜ˆ์ธก ๋ฐฉ์‹๋ณด๋‹ค ๋” ์•ˆ์ „ํ•˜๊ณ  ๊ฒฝ์ œ์ ์ธ ๋‹ค๋ฆฌ ์„ค๊ณ„๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค.

1. ์„œ๋ก : ๋‹ค๋ฆฌ ํŒŒ์†์˜ ์ฃผ๋ฒ”, ๊ตญ๋ถ€ ์„ธ๊ตด๊ณผ ์—ฐ๊ตฌ ๋ชฉํ‘œ

  1. ๋‹ค๋ฆฌ ํŒŒ์†์˜ ์ฃผ์š” ์›์ธ:
    • ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์€ ๋‹ค๋ฆฌ๊ฐ€ ๋ฌด๋„ˆ์ง€๋Š” ๊ฐ€์žฅ ํฐ ์ด์œ ์ž…๋‹ˆ๋‹ค.
    • ๋ฏธ๊ตญ์—์„œ๋Š” ๋‹ค๋ฆฌ ํŒŒ์†์˜ 45%๊ฐ€ ํ™์ˆ˜๋‚˜ ๊ตญ๋ถ€ ์„ธ๊ตด๊ฐ™์€ ๋ฌผ ๊ด€๋ จ ํ˜„์ƒ ๋•Œ๋ฌธ์— ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.
    • ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ ์ฃผ๋ณ€์ด ๋„ˆ๋ฌด ๋งŽ์ด ๊นŽ์ด๋ฉด ๋‹ค๋ฆฌ๊ฐ€ ๋ถˆ์•ˆ์ •ํ•ด์ง€๊ณ  ๋ฌด๋„ˆ์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  2. ๊ตญ๋ถ€ ์„ธ๊ตด์ด ์ƒ๊ธฐ๋Š” ๊ณผ์ •:
    • ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ์ด ๊ฐ•๋ฌผ์˜ ํ๋ฆ„์„ ๋ง‰์œผ๋ฉด, ๊ธฐ๋‘ฅ ์•ž์ชฝ์—๋Š” ๋ง๊ตฝ ๋ชจ์–‘์˜ ์†Œ์šฉ๋Œ์ด๊ฐ€ ์ƒ๊ธฐ๊ณ , ๋’ค์ชฝ์—๋Š” ๋ฌผ์ด ๊ฐˆ๋ผ์ง€๋ฉด์„œ ๊ผฌ๋ฆฌ ๋ชจ์–‘์˜ ์†Œ์šฉ๋Œ์ด๊ฐ€ ์ƒ๊น๋‹ˆ๋‹ค.
    • ์ด๋Ÿฐ ์†Œ์šฉ๋Œ์ด๋“ค์ด ๋ฐ”๋‹ฅ์˜ ํ™์„ ๊นŽ์•„๋‚ด์–ด ๊ตญ๋ถ€ ์„ธ๊ตด์ด ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.
  3. ์„ธ๊ตด์„ ๋ง‰๋Š” ์—ฐ๊ตฌ์˜ ์ค‘์š”์„ฑ:
    • ์•ˆ์ „ํ•˜๊ณ  ๊ฒฝ์ œ์ ์ธ ๋‹ค๋ฆฌ๋ฅผ ์„ค๊ณ„ํ•˜๋ ค๋ฉด, ์„ธ๊ตด์„ ์ค„์ด๋Š” ์ƒˆ๋กœ์šด ๋ชจ์–‘์˜ ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ์„ ์‚ฌ์šฉํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
  4. ์ด ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ:
    • ์ƒˆ๋กœ์šด ๋ชจ์–‘์˜ ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ์„ ์ฐพ์•„ ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ๋ณด๋‹ค ๊ตญ๋ถ€ ์„ธ๊ตด์„ ์ค„์ด๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
    • ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ณ , ๊ธฐ์กด ๋ฐฉ์‹๊ณผ ๋น„๊ตํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
    • ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ์˜ ๋ชจ์–‘๊ณผ ์ •๋ ฌ(๋ฐฉํ–ฅ)์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‹คํ—˜์œผ๋กœ ์•Œ์•„๋ณด๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
    • ์ด๋ฅผ ์œ„ํ•ด ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ(M1)๊ณผ ๋‘ ๊ฐ€์ง€ ์ƒˆ๋กœ์šด ๊ธฐ๋‘ฅ(M2, M3)์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.

2. ๊ธฐ์กด ์—ฐ๊ตฌ ์‚ดํŽด๋ณด๊ธฐ ๋ฐ ํ•œ๊ณ„

2.1. ๊ต๊ฐ ํ˜•ํƒœ ๋ฐ ์„ธ๊ตด ์ค„์ด๊ธฐ ์—ฐ๊ตฌ

  1. ๊ต๊ฐ ๋ถ„๋ฅ˜ ๋ฐ ์œ ์„ ํ˜• ๊ต๊ฐ์˜ ํšจ๊ณผ:
    • ์œ ์„ ํ˜• ๊ต๊ฐ์€ ๋ฌผ์˜ ํ๋ฆ„๊ณผ ๊ฐ™์€ ๋ฐฉํ–ฅ์œผ๋กœ ์ •๋ ฌ๋˜์–ด ์žˆ์–ด ์„ธ๊ตด์„ ๋ง‰๋Š” ๋ฐ ํšจ๊ณผ์ ์ž…๋‹ˆ๋‹ค.
  2. ๊ต๊ฐ ํ˜•ํƒœ ๋ณ€๊ฒฝ์˜ ์ค‘์š”์„ฑ:
    • ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ์˜ ํ˜•ํƒœ๋ฅผ ๋ฐ”๊พธ๋Š” ๊ฒƒ์ด ์„ธ๊ตด๋ฐฉ์ง€์— ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค.
    • ๊ฐ€์žฅ ์ข‹์€ ๊ธฐ๋‘ฅ ๋ชจ์–‘์€ ๋ฌผ์˜ ํ๋ฆ„ ๋ฐฉํ•ด์™€ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์ตœ์†Œํ™”ํ•ฉ๋‹ˆ๋‹ค.
  3. ๋‹ค์–‘ํ•œ ๊ต๊ฐ ํ˜•ํƒœ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ:
    • ์‚ฌ๊ฐํ˜• ๊ธฐ๋‘ฅ์ด ์„ธ๊ตด๊นŠ์ด๊ฐ€ ๊ฐ€์žฅ ๊นŠ๊ณ , ๋น„ํ–‰๊ธฐ ๋‚ ๊ฐœ ๋ชจ์–‘ ๊ธฐ๋‘ฅ์ด ๊ฐ€์žฅ ์–•์Šต๋‹ˆ๋‹ค.
    • ๋น„ํ–‰๊ธฐ ๋‚ ๊ฐœ ๋ชจ์–‘ ๊ธฐ๋‘ฅ์€ ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ๋ณด๋‹ค ์„ธ๊ตด๊นŠ์ด๊ฐ€ 50% ์ ์Šต๋‹ˆ๋‹ค.
  4. ๊ธฐ์กด ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„:
    • ๊ธฐ์กด ์—ฐ๊ตฌ๋Š” ์ „ํ†ต์ ์ธ ํ˜•ํƒœ์˜ ๊ธฐ๋‘ฅ์—๋งŒ ์ง‘์ค‘๋˜์–ด ์žˆ์–ด, ์„ธ๊ตด๊นŠ์ด๋ฅผ ๋” ์ค„์ผ ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๊ธฐ๋‘ฅ ๋ชจ์–‘์„ ์ฐพ๊ธฐ ์œ„ํ•œ ์ถ”๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

2.2. ๊ต๊ฐ ๊ฒฝ์‚ฌ๊ฐ(Skew Angle)์˜ ์˜ํ–ฅ

  1. ๊ฒฝ์‚ฌ๊ฐ์˜ ์ค‘์š”์„ฑ:
    • ๊ต๊ฐ๊ฒฝ์‚ฌ๊ฐ(ฮฑ)์€ ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ ์ฃผ๋ณ€์˜ ๋ฌผ ํ๋ฆ„๊ณผ ์„ธ๊ตด๊นŠ์ด์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค.
  2. ๊ฒฝ์‚ฌ๊ฐ ์ฆ๊ฐ€ ์‹œ ์„ธ๊ตด ๋ณ€ํ™”:
    • ๊ฒฝ์‚ฌ๊ฐ์ด ์žˆ๋Š” ๊ธฐ๋‘ฅ์€ ๋ฌผ์— ๋…ธ์ถœ๋˜๋Š” ํญ์ด ๋Š˜์–ด๋‚˜ ์„ธ๊ตด๊นŠ์ด๊ฐ€ ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค.
    • ์œ ์„ ํ˜• ๊ธฐ๋‘ฅ๋„ ๊ฒฝ์‚ฌ๊ฐ์ด ์ฆ๊ฐ€ํ•˜๋ฉด ํšจ์œจ์„ฑ์„ ์žƒ์Šต๋‹ˆ๋‹ค.
  3. ๊ฒฝ์‚ฌ๊ฐ ๊ด€๋ จ ๊ธฐ์กด ์—ฐ๊ตฌ ๊ฒฐ๊ณผ:
    • ์—ฌ๋Ÿฌ ์—ฐ๊ตฌ์—์„œ ๊ฒฝ์‚ฌ๊ฐ์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์„ธ๊ตด๊นŠ์ด๊ฐ€ ์ฆ๊ฐ€ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค.
  4. ๊ฒฝ์‚ฌ๊ฐ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„:
    • ๊ธฐ์กด ์—ฐ๊ตฌ๋Š” ์‚ฌ๊ฐํ˜• ๋ฐ ์ •์‚ฌ๊ฐํ˜• ๊ธฐ๋‘ฅ์—๋งŒ ์ง‘์ค‘๋˜์–ด ์žˆ์–ด, ๋‹ค๋ฅธ ํ˜•ํƒœ์˜ ๊ธฐ๋‘ฅ์— ๋Œ€ํ•œ ์ถ”๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

2.3. ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก ๋ชจ๋ธ ๋ฐ M5 ๋ชจ๋ธ์˜ ํ™œ์šฉ

  1. ๊ธฐ์กด ๊ฒฝํ—˜์‹์˜ ํ•œ๊ณ„:
    • ๊ธฐ์กด ์„ธ๊ตด๊นŠ์ด ์˜ˆ์ธก ๊ณต์‹์€ ์ค‘์š”ํ•œ ์š”์†Œ๋“ค์„ ๋ฌด์‹œํ•˜๊ณ  ๋ณต์žกํ•œ ๋น„์„ ํ˜• ๊ด€๊ณ„๋ฅผ ์ œ๋Œ€๋กœ ํŒŒ์•…ํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. ์ธ๊ณต์ง€๋Šฅ ๋ชจ๋ธ์˜ ๋“ฑ์žฅ:
    • ์ธ๊ณต์‹ ๊ฒฝ๋ง(ANN) ๋ชจ๋ธ์ด ์„ธ๊ตด๊นŠ์ด ์˜ˆ์ธก์—์„œ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋ณด์˜€์ง€๋งŒ, ๋ช…ํ™•ํ•œ ๊ณต์‹์„ ์ œ๊ณตํ•˜์ง€ ๋ชปํ•ฉ๋‹ˆ๋‹ค.
  3. M5 ๋ชจ๋ธ์˜ ์žฅ์  ๋ฐ ์ด ์—ฐ๊ตฌ์˜ ํ˜์‹ :
    • M5 ๋ชจ๋ธ์€ ๋ณต์žกํ•œ ๋น„์„ ํ˜•์„ฑ์„ ์ž˜ ํŒŒ์•…ํ•˜๊ณ , ํ˜„์žฅ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ„๋‹จํ•œ ๊ณต์‹์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.
    • ์ด ์—ฐ๊ตฌ๋Š” ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ๊ธฐ๋‘ฅ ์„ธ๊ตด๊นŠ์ด ์˜ˆ์ธก์„ ์œ„ํ•œ M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์—ฌ ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค.

2.4. ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ(Tandem Piers)์˜ ์„ธ๊ตด ํ˜„์ƒ

  1. ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ์˜ ํŠน์„ฑ:
    • ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ์ด ์ค„์ง€์–ด ๋ฐฐ์น˜๋˜๋ฉด ๊ธฐ๋‘ฅ ๊ฐ„์„ญ ํ˜„์ƒ์ด ๋ฐœ์ƒํ•˜์—ฌ ์„ธ๊ตด๋ฐฉ์‹์ด ๋‹ฌ๋ผ์ง‘๋‹ˆ๋‹ค.
  2. ์„ธ๊ตด ๋ฉ”์ปค๋‹ˆ์ฆ˜์˜ ์œ ํ˜•:
    • ์•ž ๊ธฐ๋‘ฅ ๋•Œ๋ฌธ์— ๋’ค ๊ธฐ๋‘ฅ์˜ ์„ธ๊ตด๊นŠ์ด๊ฐ€ ๊ฐ์†Œํ•˜๋Š” ์ฐจํ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค.
  3. ๊ต๊ฐ ๊ฐ„๊ฒฉ(X)์˜ ์˜ํ–ฅ:
    • ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ธฐ๋‘ฅ ์‚ฌ์ด์˜ ๊ฐ„๊ฒฉ(X)์€ ๋‘ ๊ธฐ๋‘ฅ์˜ ์„ธ๊ตด๊นŠ์ด์— ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค.
    • ๋ณต์žกํ•œ ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ธฐ๋‘ฅ์˜ ์„ธ๊ตด๋ฐฉ์‹์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ์ถ”๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

3. ์‹คํ—˜ ๋ชฉํ‘œ ๋ฐ ๋ฐฉ๋ฒ•

  1. ๊ธฐ์กด ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•œ ์—ฐ๊ตฌ ํ•„์š”์„ฑ:
    • ๊ธฐ๋‘ฅ ๋ชจ์–‘๊ณผ ๊ฒฝ์‚ฌ๊ฐ์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€๋งŒ, ์—ฐ๊ตฌ์™€ ๋ชจ๋ธ๋ง์ด ์•„์ง ๋ถ€์กฑํ•ฉ๋‹ˆ๋‹ค.
  2. ์ด ์‹คํ—˜ ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ:
    • ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ๊ธฐ๋‘ฅ ์ฃผ๋ณ€ ์„ธ๊ตด์„ ์กฐ์‚ฌํ•˜๊ณ , ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ธฐ๋‘ฅ์˜ ๊ฐ„์„ญ ํšจ๊ณผ๋ฅผ ์—ฐ๊ตฌํ•ฉ๋‹ˆ๋‹ค.
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๊ธฐ์กด ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•ฉ๋‹ˆ๋‹ค.
  3. ์‹คํ—˜์— ์‚ฌ์šฉ๋œ ๊ต๊ฐ ๋ชจ๋ธ:
    • ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ(M1)๊ณผ ๋‘ ๊ฐ€์ง€ ์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ๊ธฐ๋‘ฅ(M2, M3)์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.
    • M2๋Š” ๋ฐ˜์›๊ณผ ์‚ผ๊ฐํ˜•์„ ํ•ฉ์นœ ๋ชจ์–‘์ด๊ณ , M3๋Š” M2a๋ฅผ ๊ฐœ์„ ํ•œ ํ˜•ํƒœ์ž…๋‹ˆ๋‹ค.
  4. ์‹คํ—˜ ์กฐ๊ฑด:
    • ์‹คํ—˜์€ ์ผ์ •ํ•œ ํ๋ฆ„๊ณผ ๋ง‘์€ ๋ฌผ ์„ธ๊ตด์กฐ๊ฑด์—์„œ ์ง„ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  5. M5 ๋ชจ๋ธ ํ‰๊ฐ€:
    • ๊ฐœ๋ฐœ๋œ M5 ๋ชจ๋ธ์˜ ์ •ํ™•๋„๋Š” ํ†ต๊ณ„ ์ง€์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ‰๊ฐ€ํ•˜๊ณ , ๊ธฐ์กด ๊ณต์‹๊ณผ ๋น„๊ตํ•ฉ๋‹ˆ๋‹ค.
  6. ์—ฐ๊ตฌ์˜ ํ™œ์šฉ:
    • ๊ฐœ๋ฐœ๋œ M5 ๋ชจ๋ธ์€ ์‹ค์ œ ํ˜„์žฅ์—์„œ ๋‹ค๋ฆฌ ๊ธฐ์ดˆ ์„ค๊ณ„์— ์œ ์šฉํ•˜๋ฉฐ, ์ตœ์ ์˜ ๊ธฐ๋‘ฅ ๋ชจ์–‘๊ณผ ๋ฐฐ์น˜ ๋ฐฉ๋ฒ•์„ ์ฐพ๋Š” ๋ฐ ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค.

4. ์‹คํ—˜ ์žฅ์น˜ ๋ฐ ๋ฐฉ๋ฒ•

4.1. ์‹คํ—˜ ์žฅ์น˜

  1. ์ˆ˜๋กœ(Flume) ๊ตฌ์„ฑ:
    • ์‹คํ—˜์€ ๊ธธ์ด 8.0m, ํญ 1.0m, ๊นŠ์ด 1.0m์˜ ์œ ๋ฆฌ๋ฒฝ ์ˆ˜๋กœ์—์„œ ์ง„ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
    • ์ˆ˜๋กœ ๋ฐ”๋‹ฅ์€ ํ‰๊ท  ์ž…์ž ํฌ๊ธฐ 0.56mm์˜ ๊ท ์ผํ•œ ๊ฐ• ๋ชจ๋ž˜๋กœ ์ฑ„์›Œ์กŒ์Šต๋‹ˆ๋‹ค.
    • ํ๋ฆ„์„ ์•ˆ์ •ํ™”ํ•˜๊ณ  ๊ณผ๋„ํ•œ ํ™ ์นจ์‹์„ ๋ง‰๊ธฐ ์œ„ํ•ด ์ˆ˜๋กœ ์–‘ ๋์— ์ž๊ฐˆ ์ปคํŠผ์„ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. ํ๋ฆ„ ์ œ์–ด ์‹œ์Šคํ…œ:
    • ํŽŒํ”„๊ฐ€ ๋ฌผ์„ ๊ณ„์† ์ˆœํ™˜์‹œ์ผœ ์•ˆ์ •์ ์ด๊ณ  ๊ท ์ผํ•œ ํ๋ฆ„์„ ์œ ์ง€ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • SCADA ์‹œ์Šคํ…œ์ด ์žฅ์ฐฉ๋œ ๋ฐธ๋ธŒ๋กœ ๋ฌผ์˜ ์–‘์„ ์ •ํ™•ํ•˜๊ฒŒ ์กฐ์ ˆํ–ˆ์Šต๋‹ˆ๋‹ค.
Figure 2. Schematic diagram of the experimental setup
Figure 2. Schematic diagram of the experimental setup

4.2. ์ฐจ์› ๋ถ„์„

  1. ์„ธ๊ตด ๊นŠ์ด(h_s)์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ˆ˜:
    • ์„ธ๊ตด๊นŠ์ด์—๋Š” ๊ธฐ๋‘ฅ ๋ชจ์–‘, ํ๋ฆ„ ํŠน์„ฑ, ํ™ ํŠน์„ฑ ๋“ฑ์ด ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค.
  2. ์ •๊ทœํ™”๋œ ์„ธ๊ตด ๊นŠ์ด(h_s/D)์— ๋Œ€ํ•œ ๋ณ€์ˆ˜:
    • ์ฐจ์› ๋ถ„์„์„ ํ†ตํ•ด ํ™ ๊ฑฐ์น ๊ธฐ ๋น„์œจ, ํ๋ฆ„ ์–•์Œ ๋น„์œจ, ํ๋ฆ„ ๊ฐ•๋„, ํ”„๋ฃจ๋“œ ์ˆ˜ ๋“ฑ์ด ๋„์ถœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  3. ์ด ์—ฐ๊ตฌ์˜ ์ดˆ์  ๋ฐ ๊ณ ์ • ๋ณ€์ˆ˜:
    • ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ๋‘ฅ ๋ชจ์–‘๊ณผ ์ •๋ ฌ์˜ ์˜ํ–ฅ์„ ๊ณ ๋ คํ•˜์—ฌ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ์ตœ์ ์˜ ๊ธฐ๋‘ฅ ๋ชจ์–‘์„ ์ฐพ๋Š” ๋ฐ ์ง‘์ค‘ํ–ˆ์Šต๋‹ˆ๋‹ค.

4.3. ๊ต๊ฐ ๋ชจ๋ธ

  1. ์„ธ ๊ฐ€์ง€ ๊ต๊ฐ ๋ชจ๋ธ:
    • ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ(M1)๊ณผ ๋‘ ๊ฐ€์ง€ ์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ๊ธฐ๋‘ฅ(M2, M3)์„ ์‚ฌ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค.
    • M2๋Š” ๋ฐ˜์›ํ˜•๊ณผ ์‚ผ๊ฐํ˜•์„ ํ•ฉ์นœ ๋ชจ์–‘์ด๊ณ , M3๋Š” M2์˜ ๋ฐ˜์›ํ˜• ๋ถ€๋ถ„์— ์ž‘์€ ํ™ˆ์„ ์ถ”๊ฐ€ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
  2. M2 ๊ต๊ฐ์˜ ๋ฐฉํ–ฅ:
    • M2 ๊ธฐ๋‘ฅ์€ ๋ฐ˜์›ํ˜• ๋ฉด(M2a)๊ณผ ์‚ผ๊ฐํ˜• ๋ฉด(M2b)์ด ๋ฌผ์˜ ํ๋ฆ„ ๋ฐฉํ–ฅ์„ ํ–ฅํ•˜๋„๋ก ๋ชจ๋‘ ํ…Œ์ŠคํŠธ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  3. ๊ต๊ฐ ๋ชจ๋ธ์˜ ๊ณตํ†ต์  ๋ฐ ๋ฐฐ์น˜:
    • M2 ๋ฐ M3 ๊ธฐ๋‘ฅ์˜ ๋‹จ๋ฉด์ ์€ M1๊ณผ ๋™์ผํ•˜๊ฒŒ ์œ ์ง€๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  4. ์‹คํ—˜ ์กฐ๊ฑด ๋ฐ ์ธก์ •:
    • 8๊ฐ€์ง€ ๋‹ค๋ฅธ ๊ฒฝ์‚ฌ๊ฐ(ฮฑ = 0ยฐ~45ยฐ)์— ๋Œ€ํ•ด ํ…Œ์ŠคํŠธ๋ฅผ ์ˆ˜ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ์„ธ๊ตด๊นŠ์ด๋Š” ๋””์ง€ํ„ธ ํฌ์ธํŠธ ๊ฒŒ์ด์ง€๋กœ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
  5. ์ค„์ง€์–ด ๋ฐฐ์น˜ ์‹คํ—˜:
    • ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ๊ณผ ์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ๊ธฐ๋‘ฅ์„ ๋‹ค์–‘ํ•œ ์กฐํ•ฉ์œผ๋กœ ๋ฐฐ์น˜ํ•˜์—ฌ ์‹คํ—˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ๊ฐ„๊ฒฉ(X)์€ 0.5D์—์„œ 2.5D๋กœ ๋‹ค์–‘ํ•˜๊ฒŒ ์„ค์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

4.4. ํ๋ฆ„ ์กฐ๊ฑด

  1. ํ๋ฆ„ ๊นŠ์ด ๋ฐ ์ž„๊ณ„ ์†๋„:
    • ํ๋ฆ„ ๊นŠ์ด(h)๋Š” 12cm๋กœ ์œ ์ง€๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
    • ๋ชจ๋ž˜ ์ด๋™์˜ ์ž„๊ณ„ ์†๋„(Vc)๋Š” 0.29m/s์ž…๋‹ˆ๋‹ค.
  2. ํ๋ฆ„ ๊ฐ•๋„ ๋ฐ ์œ ๋Ÿ‰:
    • ํ๋ฆ„ ๊ฐ•๋„(V/Vc)๋Š” 0.9๋กœ ์œ ์ง€๋˜์–ด ๋ง‘์€ ๋ฌผ ์„ธ๊ตด์กฐ๊ฑด์„ ๋ณด์žฅํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ์‹คํ—˜์€ 0.027mยณ/s์˜ ์œ ๋Ÿ‰(Q)์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  3. ํ”„๋ฃจ๋“œ ์ˆ˜ ๋ฐ ๋ ˆ์ด๋†€์ฆˆ ์ˆ˜:
    • ํ”„๋ฃจ๋“œ ์ˆ˜(Fr)๋Š” 0.24, ๋ ˆ์ด๋†€์ฆˆ ์ˆ˜(Re)๋Š” 31200์œผ๋กœ, ์•„์ž„๊ณ„ ๋ฐ ๋‚œ๋ฅ˜์กฐ๊ฑด์ž„์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
  4. ์Šค์ผ€์ผ ํšจ๊ณผ ์ตœ์†Œํ™”:
    • ์ˆ˜๋กœ ํญ, ๊ธฐ๋‘ฅ ํฌ๊ธฐ, ํ๋ฆ„ ๊นŠ์ด๋“ฑ์€ ์Šค์ผ€์ผ ํšจ๊ณผ๋ฅผ ์ตœ์†Œํ™”ํ•˜๋„๋ก ์„ ํƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

4.5. ์‹คํ—˜ ์ ˆ์ฐจ

  1. ์ดˆ๊ธฐ ์„ค์ •:
    • ๊ฐ ์‹คํ—˜ ์ „์— ๋ชจ๋ž˜ ๋ฐ”๋‹ฅ์„ ํ‰ํ‰ํ•˜๊ฒŒ ๋งŒ๋“ค๊ณ  ์ดˆ๊ธฐ ๋†’์ด๋ฅผ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ๊ธฐ๋‘ฅ์€ ์ž…๊ตฌ์—์„œ 4.75m ๋–จ์–ด์ง„ ๊ณณ์— ์„ค์น˜๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
    • ๊ณผ๋„ํ•œ ์ดˆ๊ธฐ ์นจ์‹์„ ๋ง‰๊ธฐ ์œ„ํ•ด ๊ธฐ๋‘ฅ ์ฃผ๋ณ€ ๋ฐ”๋‹ฅ์€ ์•„ํฌ๋ฆด ์‹œํŠธ๋กœ ๋ณดํ˜ธํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. ํ๋ฆ„ ์กฐ๊ฑด ์„ค์ • ๋ฐ ์ธก์ •:
    • ํ๋ฆ„์ด ์›ํ•˜๋Š” ์œ ๋Ÿ‰๊ณผ ๊นŠ์ด์— ๋„๋‹ฌํ•œ ํ›„, ํ๋ฆ„ ์†๋„๋ฅผ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ์•„ํฌ๋ฆด ์‹œํŠธ๋Š” ํ๋ฆ„๊ณผ ๋ชจ๋ž˜ ๋ฐ”๋‹ฅ์„ ๋ฐฉํ•ดํ•˜์ง€ ์•Š๊ณ  ์ œ๊ฑฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  3. ์„ธ๊ตด ๊นŠ์ด ์ธก์ •:
    • ์‹œ๊ฐ„๋ณ„ ์„ธ๊ตด๊นŠ์ด๋Š” ๋””์ง€ํ„ธ ํฌ์ธํŠธ ๊ฒŒ์ด์ง€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ๋‘ฅ ์ „๋ฉด, ํ›„๋ฅ˜, ์ธก๋ฉด ๋“ฑ ์ฃผ์š” ์œ„์น˜์—์„œ ์ธก์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
    • ์ธก์ •์€ ์„ธ๊ตด๊ตฌ๋ฉ์ด ํ‰ํ˜• ์ƒํƒœ์— ๋„๋‹ฌํ•  ๋•Œ๊นŒ์ง€ ์ด๋ฃจ์–ด์กŒ์Šต๋‹ˆ๋‹ค.
  4. ์‹คํ—˜ ์ข…๋ฃŒ ๋ฐ ๋ฐ์ดํ„ฐ ๊ธฐ๋ก:
    • ์‹คํ—˜ ์™„๋ฃŒ ํ›„, ํ๋ฆ„์„ ์ฒœ์ฒœํžˆ ๋ฉˆ์ถ”๊ณ  ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ์„ธ๊ตด๊ตฌ๋ฉ ์‚ฌ์ง„์€ ์นด๋ฉ”๋ผ๋กœ ์ดฌ์˜๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
Figure 4. Photographs of (a) experimental setup and (b) scour hole around the circular pier (M1)
Figure 4. Photographs of (a) experimental setup and (b) scour hole around the circular pier (M1)

4.6. M5 ๋ชจ๋ธ ํŠธ๋ฆฌ

  1. ์˜์‚ฌ๊ฒฐ์ • ํŠธ๋ฆฌ(DT) ๋ฐ ๋ชจ๋ธ ํŠธ๋ฆฌ(MT):
    • ์˜์‚ฌ๊ฒฐ์ • ํŠธ๋ฆฌ(DT)๋Š” ๋ถ„๋ฅ˜ ๋ฐ ์˜ˆ์ธก์— ์‚ฌ์šฉ๋˜๋Š” ๊ธฐ๊ณ„ ํ•™์Šต ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค.
    • ๋ชจ๋ธ ํŠธ๋ฆฌ(MT)๋Š” DT ์›๋ฆฌ์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ์žŽ ๋…ธ๋“œ์—์„œ ์„ ํ˜• ํšŒ๊ท€ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค.
  2. M5 ๋ชจ๋ธ ํŠธ๋ฆฌ์˜ ํŠน์ง•:
    • M5 ๋ชจ๋ธํŠธ๋ฆฌ(M5)๋Š” ์‰ฝ๊ฒŒ ์ดํ•ดํ•  ์ˆ˜ ์žˆ๋Š” ๊ณต์‹์„ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
    • M5๋Š” ์„ ํ˜• ํšŒ๊ท€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ DT๋ฅผ ๋งŒ๋“ค๊ณ , ๊ทธ๋กœ๋ถ€ํ„ฐ ์ •๋ณด๋ฅผ ์ถ”์ถœํ•˜๋Š” ๋‘ ๋‹จ๊ณ„๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค.
  3. M5 ๋ชจ๋ธ์˜ ์ฒซ ๋ฒˆ์งธ ๋‹จ๊ณ„: DT ์ƒ์„ฑ:
    • ์„ ํ˜• ํšŒ๊ท€ ๋ชจ๋ธ์€ ๋ฐ์ดํ„ฐ ํฌ์ธํŠธ๋ฅผ ์žฌ๊ท€์ ์œผ๋กœ ํ•˜์œ„ ์ง‘ํ•ฉ์œผ๋กœ ๋‚˜๋ˆ•๋‹ˆ๋‹ค.
    • ์ด ๋ถ„ํ• ์€ ํ•˜์œ„ ์ง‘ํ•ฉ ๊ฐ’์˜ ํ‘œ์ค€ ํŽธ์ฐจ(SD)์— ์˜ํ•ด ๊ฒฐ์ •๋ฉ๋‹ˆ๋‹ค.
  4. M5 ๋ชจ๋ธ์˜ ๋‘ ๋ฒˆ์งธ ๋‹จ๊ณ„: ์ •๋ณด ์ถ”์ถœ ๋ฐ ๊ฐ€์ง€์น˜๊ธฐ:
    • ๊ฐ ์žŽ๊ณผ ๊ด€๋ จ๋œ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ ํ•˜์œ„ ์˜์—ญ์— ๋Œ€ํ•œ ์„ ํ˜• ํšŒ๊ท€ ๋ชจ๋ธ์ด ๋งŒ๋“ค์–ด์ง‘๋‹ˆ๋‹ค.
    • ๊ณผ์ ํ•ฉ์„ ๋ง‰๊ธฐ ์œ„ํ•ด ๋„ˆ๋ฌด ์ปค์ง„ ํŠธ๋ฆฌ๋Š” ๊ฐ€์ง€์น˜๊ธฐ๋ฉ๋‹ˆ๋‹ค.

4.7. ์„ฑ๋Šฅ ํ‰๊ฐ€ ๊ธฐ์ค€

  1. ํ‰๊ฐ€ ์ง€์ˆ˜:
    • ๊ฐœ๋ฐœ๋œ M5 ๋ชจ๋ธ๊ณผ ๊ธฐ์กด ๊ณต์‹์˜ ์ •ํ™•๋„๋Š” ๊ฒฐ์ • ๊ณ„์ˆ˜(Rยฒ), ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE), ๋ถˆ์ผ์น˜ ๋น„์œจ(DR)๊ณผ ๊ฐ™์€ ํ†ต๊ณ„ ์ง€์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ‰๊ฐ€๋ฉ๋‹ˆ๋‹ค.
  2. ๋ชจ๋ธ ์„ฑ๋Šฅ ํŒ๋‹จ ๊ธฐ์ค€:
    • ์„ฑ๋Šฅ์ด ์ข‹์€ ๋ชจ๋ธ์€ ๋‚ฎ์€ RMSE, ์ตœ์†Œํ•œ์˜ ๊ณผ์†Œ ์˜ˆ์ธก(DR โ‰ฅ 1), ๋†’์€ Rยฒ ๊ฐ’์„ ํŠน์ง•์œผ๋กœ ํ•ฉ๋‹ˆ๋‹ค.

5. ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜

5.1. ์ •๋ ฌ๋œ ๊ต๊ฐ ์ฃผ๋ณ€ ์„ธ๊ตด ๊นŠ์ด

  1. ์‹คํ—˜ ์กฐ๊ฑด ๋ฐ ์ธก์ •:
    • ์„ธ ๊ฐ€์ง€ ๊ธฐ๋‘ฅ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ๋‘ฅ ๋ชจ์–‘๊ณผ ์ •๋ ฌ์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ์„ธ๊ตด์€ ์ •๊ทœํ™”๋œ ์„ธ๊ตด๊นŠ์ด(H\*)๋กœ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
  2. ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด ์œ„์น˜:
    • M1, M2a, M3 ๊ธฐ๋‘ฅ์€ ์ƒ๋ฅ˜ ์ฝ” ๋ถ€๋ถ„์—, M2b ๊ธฐ๋‘ฅ์€ ์ธก๋ฉด ๋˜๋Š” ๊ธฐ๋‘ฅ ์ค‘์•™ ๊ทผ์ฒ˜์—์„œ ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
  3. ์ •๊ทœํ™”๋œ ์„ธ๊ตด ๊นŠ์ด(H\*)์˜ ์‹œ๊ฐ„์  ๋ณ€ํ™”:
    • ์ƒˆ๋กœ์šด ๊ธฐ๋‘ฅ(M2a, M2b, M3)์€ ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ(M1)๋ณด๋‹ค ํ›จ์”ฌ ๋นจ๋ฆฌ ํ‰ํ˜• ์„ธ๊ตด์ƒํƒœ์— ๋„๋‹ฌํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ์ƒˆ๋กœ์šด ๊ธฐ๋‘ฅ์˜ ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด ๊ฐ์†Œ๋Š” M1 ๋Œ€๋น„ ๊ฐ๊ฐ 23.5%, 50%, 55%์ž…๋‹ˆ๋‹ค.
  4. ํ˜•ํƒœ ๊ณ„์ˆ˜(K_s) ๋ฐ M3 ๊ต๊ฐ์˜ ํšจ์œจ์„ฑ:
    • M3๋Š” ๊ฐ€์žฅ ๋‚ฎ์€ H\*(= 0.46)๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ๊ตญ๋ถ€ ์„ธ๊ตด๊ฐ์†Œ์— ๊ฐ€์žฅ ํšจ์œจ์ ์ž…๋‹ˆ๋‹ค.
    • M2b์™€ M3 ๊ธฐ๋‘ฅ ๋ชจ๋‘ ํšจ๊ณผ์ ์ธ ์„ธ๊ตด๋ฐฉ์ง€ ๋Œ€์ฑ…์ด ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

5.2. ๊ต๊ฐ ๊ฒฝ์‚ฌ๊ฐ์˜ ์˜ํ–ฅ

  1. ๊ฒฝ์‚ฌ๊ฐ์˜ ์ค‘์š”์„ฑ ๋ฐ ์‹คํ—˜ ๋ฒ”์œ„:
    • ๋‘ฅ๊ธ€์ง€ ์•Š์€ ๊ธฐ๋‘ฅ ํ˜•ํƒœ์—์„œ ๊ฒฝ์‚ฌ๊ฐ(ฮฑ)์€ ์„ฑ๋Šฅ์„ ๊ฒฐ์ •ํ•˜๋Š” ์ฃผ์š” ์š”์†Œ์ž…๋‹ˆ๋‹ค.
  2. ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด ์œ„์น˜ ๋ณ€ํ™”:
    • ๊ธฐ๋‘ฅ์ด ๊ธฐ์šธ์–ด์งˆ ๋•Œ ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด ์œ„์น˜๊ฐ€ ์ด๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.
  3. ๊ฒฝ์‚ฌ๊ฐ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ์„ธ๊ตด ๋ณ€ํ™”:
    • ๊ฒฝ์‚ฌ๊ฐ์ด ๋†’์„์ˆ˜๋ก ๋ฌผ์— ๋…ธ์ถœ๋˜๋Š” ํญ์ด ๋Š˜์–ด๋‚˜ ์„ธ๊ตด์†๋„๊ฐ€ ๋” ์ปค์ง‘๋‹ˆ๋‹ค.
  4. ๊ฒฝ์‚ฌ๊ฐ์ด ์„ธ๊ตด ๊นŠ์ด(H\*) ๋ฐ ๊ฒฝ์‚ฌ ๊ณ„์ˆ˜(K_ฮฑ)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ:
    • ์„ธ๊ตด๊นŠ์ด๋Š” ๊ฒฝ์‚ฌ๊ฐ์— ์ง์ ‘ ๋น„๋ก€ํ•œ๋‹ค๊ณ  ์ถ”๋ก ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  5. K_ฮฑ์™€ ๊ฒฝ์‚ฌ๊ฐ(ฮฑ)์˜ ๊ด€๊ณ„:
    • ์„ธ๊ตด๊นŠ์ด๋Š” ๊ฒฝ์‚ฌ๊ฐ(ฮฑ > 5ยฐ)์— ๋งค์šฐ ๋ฏผ๊ฐํ•˜๋ฉฐ, M2a ๋ฐ M3 ๊ธฐ๋‘ฅ ์ฃผ๋ณ€์˜ ์„ธ๊ตด๊นŠ์ด๊ฐ€ ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.
  6. ์œ ์„ ํ˜•ํ™” ํšจ๊ณผ์˜ ๊ฐ์†Œ:
    • ๊ธฐ๋‘ฅ์ด ๋” ๊ธฐ์šธ์–ด์งˆ์ˆ˜๋ก ์œ ์„ ํ˜•ํ™”์˜ ์„ธ๊ตด๊ฐ์†Œ ํšจ๊ณผ๊ฐ€ ์ค„์–ด๋“ค์—ˆ์Šต๋‹ˆ๋‹ค.

5.3. ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ

  1. ์‹คํ—˜ ๋ชฉ์  ๋ฐ ์กฐ๊ฑด:
    • ๊ธฐ๋‘ฅ ๋ชจ์–‘๊ณผ ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ธฐ๋‘ฅ ๊ฐ„์˜ ๊ฐ„๊ฒฉ์ด ๊ตญ๋ถ€ ์„ธ๊ตด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. ๋‘ฅ๊ทผ ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด ๋ณ€ํ™” (T1):
    • ์•ž ๊ธฐ๋‘ฅ์ด ๋’ค ๊ธฐ๋‘ฅ๋ณด๋‹ค ๋” ๋งŽ์€ ์„ธ๊ตด๊นŠ์ด๋ฅผ ๊ฒฝํ—˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ๋’ค ๊ธฐ๋‘ฅ์€ ์ฐจํ ํšจ๊ณผ๋กœ ์ธํ•ด ์„ธ๊ตด๊นŠ์ด๊ฐ€ ๊ฐ์†Œํ–ˆ์Šต๋‹ˆ๋‹ค.
  3. ํ™ ํฌ๊ธฐ๋ณ„ ์„ธ๊ตด ๊นŠ์ด ๋ณ€ํ™” ํŒจํ„ด:
    • ๊ธฐ๋‘ฅ ๊ฐ„์˜ ์ž„๊ณ„ ๊ฐ„๊ฒฉ์€ ํ™ ํฌ๊ธฐ๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ฆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค.
  4. ๋‹ค์–‘ํ•œ ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ์˜ ์„ธ๊ตด ๊นŠ์ด (ํ‰๊ท  ์ž…์ž ํฌ๊ธฐ 0.56mm):
    • ์ƒˆ๋กœ์šด ๊ธฐ๋‘ฅ์ด ์žˆ๋Š” ๋ชจ๋“  ์กฐํ•ฉ์—์„œ ์„ธ๊ตด๊นŠ์ด๊ฐ€ ๊ฐ์†Œํ–ˆ์Šต๋‹ˆ๋‹ค.
    • M3 ๊ธฐ๋‘ฅ์ด ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ์˜ ์ƒ๋ฅ˜ ๋˜๋Š” ํ•˜๋ฅ˜์— ๋ฐฐ์น˜๋œ ์กฐํ•ฉ(T4 ๋ฐ T7)์€ ๊ฐ€์žฅ ์ ์€ ์„ธ๊ตด๊นŠ์ด๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
  5. ์ƒˆ๋กœ์šด ๊ต๊ฐ์˜ ํ™œ์šฉ์„ฑ:
    • ์ƒˆ๋กœ์šด ๊ธฐ๋‘ฅ์€ ๊ธฐ์กด ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ์ด ์žˆ๋Š” ๋‹ค๋ฆฌ ์˜†์— ์ƒˆ๋กœ์šด ๋‹ค๋ฆฌ๋ฅผ ๊ฑด์„คํ•  ๊ฒฝ์šฐ ํšจ๊ณผ์ ์ธ ์„ธ๊ตด๋ฐฉ์ง€ ๋Œ€์ฑ…์œผ๋กœ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

5.4. M5 ๋ชจ๋ธ์„ ์ด์šฉํ•œ ์„ธ๊ตด ๊นŠ์ด ์˜ˆ์ธก

  1. M5 ๋ชจ๋ธ ๊ฐœ๋ฐœ ๋ชฉ์  ๋ฐ ๋„๊ตฌ:
    • ์„ธ๊ตด๊นŠ์ด ์˜ˆ์ธก์€ ๊ธฐ๋‘ฅ ๊ธฐ์ดˆ ์„ค๊ณ„์— ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค.
    • ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ํ˜ผ์ž ์žˆ๋Š” ๊ธฐ๋‘ฅ๊ณผ ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ธฐ๋‘ฅ ์ฃผ๋ณ€์˜ ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด(h_s/D)๋ฅผ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•ด M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.

5.4.1. ํ˜ผ์ž ์žˆ๋Š” ๊ต๊ฐ

  1. ๋ฐ์ดํ„ฐ์…‹ ๊ตฌ์„ฑ:
    • ํ˜„์žฌ ์‹คํ—˜ ์—ฐ๊ตฌ ๋ฐ ๋ฌธํ—Œ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. M5 ๋ชจ๋ธ ์„ฑ๋Šฅ ํ‰๊ฐ€:
    • M5 ๋ชจ๋ธ์€ ์„ธ๊ตด๊นŠ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค (Rยฒ = 0.837, RMSE = 0.625, DR = 1.018).
  3. ๋ฏผ๊ฐ๋„ ๋ถ„์„:
    • ๊ฒฝ์‚ฌ๊ฐ(ฮฑ/45)์ด h_s/D ์˜ˆ์ธก์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์ณค์Šต๋‹ˆ๋‹ค.
  4. ๊ธฐ์กด ํšŒ๊ท€ ๋ฐฉ์ •์‹๊ณผ์˜ ๋น„๊ต:
    • M5 ๋ชจ๋ธ์„ฑ๋Šฅ์€ ๊ธฐ์กด ํšŒ๊ท€ ๊ธฐ๋ฐ˜ ๋ฐฉ์ •์‹๋ณด๋‹ค ์šฐ์ˆ˜ํ•ฉ๋‹ˆ๋‹ค.
  5. ์ž”์ฐจ ์˜ค์ฐจ ๋ถ„ํฌ (๋ฐ•์Šค ํ”Œ๋กฏ):
    • M5 ๋ชจ๋ธ์€ ๊ธฐ์กด ํšŒ๊ท€ ๋ฐฉ์ •์‹๋ณด๋‹ค ์ƒ๋Œ€์ ์œผ๋กœ ๋” ์ •ํ™•ํ•ฉ๋‹ˆ๋‹ค.

5.4.2. ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ

  1. ๋ฐ์ดํ„ฐ์…‹ ๊ตฌ์„ฑ:
    • ํ˜„์žฌ ์—ฐ๊ตฌ ๋ฐ ๋ฌธํ—Œ์˜ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ M5 ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. M5 ๋ชจ๋ธ ๊ฐœ๋ฐœ ๋ฐ ๋ฐ์ดํ„ฐ ๋ถ„ํ• :
    • ์•ž(h_sf/D) ๋ฐ ๋’ค(h_sr/D) ๊ธฐ๋‘ฅ ์ฃผ๋ณ€ ์„ธ๊ตด๊นŠ์ด์— ๋Œ€ํ•ด ๋ณ„๋„์˜ M5 ๋ชจ๋ธ์ด ๊ฐœ๋ฐœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
  3. M5 ๋ชจ๋ธ ์„ฑ๋Šฅ ํ‰๊ฐ€ (์•ž ๊ต๊ฐ):
    • ์•ž ๊ธฐ๋‘ฅ ์„ธ๊ตด๊นŠ์ด(h_sf/D)์— ๋Œ€ํ•œ M5 ๋ชจ๋ธ์˜ ํ›ˆ๋ จ ๋ฐ ํ…Œ์ŠคํŠธ ์„ฑ๋Šฅ์€ Rยฒ = 0.965, RMSE = 0.129, DR = 1.125์ž…๋‹ˆ๋‹ค.
  4. M5 ๋ชจ๋ธ ์„ฑ๋Šฅ ํ‰๊ฐ€ (๋’ค ๊ต๊ฐ):
    • ๋’ค ๊ธฐ๋‘ฅ ์„ธ๊ตด๊นŠ์ด(h_sr/D) ์˜ˆ์ธก์— ๋Œ€ํ•œ M5 ๋ชจ๋ธ์€ Rยฒ = 0.953, RMSE = 0.123, DR = 1.102์ž…๋‹ˆ๋‹ค.
  5. ๋ฏผ๊ฐ๋„ ๋ถ„์„ (์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ):
    • ํ๋ฆ„ ๊ฐ•๋„(V/Vc)๊ฐ€ h_sf/D ์˜ˆ์ธก์— ๋” ํฐ ์˜ํ–ฅ์„ ๋ฏธ์ณค์Šต๋‹ˆ๋‹ค.

6. ๊ฒฐ๋ก 

  1. ๊ต๊ฐ ํ˜•ํƒœ ๋ฐ ์ •๋ ฌ์˜ ์˜ํ–ฅ:
    • ์ƒˆ๋กœ์šด ํ˜•ํƒœ ๊ธฐ๋‘ฅ ๋ชจ๋ธ์˜ ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด๋Š” ๊ธฐ์กด ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ์— ๋น„ํ•ด ์ตœ๋Œ€ 55% ๊ฐ์†Œํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ๊ทธ๋Ÿฌ๋‚˜ ๊ฒฝ์‚ฌ๊ฐ์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์„ธ๊ตด๊นŠ์ด๋Š” ์ฆ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.
  2. ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ต๊ฐ์˜ ์„ธ๊ตด ๊ฐ์†Œ:
    • ์ค„์ง€์–ด ๋ฐฐ์น˜์—์„œ ๋‘ฅ๊ทผ ๊ธฐ๋‘ฅ์„ ์ƒˆ๋กœ์šด ํ˜•ํƒœ ๊ธฐ๋‘ฅ์œผ๋กœ ๊ต์ฒดํ•˜๋ฉด ์„ธ๊ตด๊นŠ์ด๊ฐ€ ๊ฐ์†Œํ–ˆ์Šต๋‹ˆ๋‹ค.
  3. M5 ๋ชจ๋ธ์˜ ์„ฑ๋Šฅ:
    • M5 ๋ชจ๋ธ์€ ํ˜ผ์ž ์žˆ๋Š” ๊ธฐ๋‘ฅ๊ณผ ์ค„์ง€์–ด ๋ฐฐ์น˜๋œ ๊ธฐ๋‘ฅ์˜ ์ตœ๋Œ€ ์„ธ๊ตด๊นŠ์ด(h_s/D)๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•ฉ๋‹ˆ๋‹ค.
    • ๋ฏผ๊ฐ๋„ ๋ถ„์„ ๊ฒฐ๊ณผ, ๊ฒฝ์‚ฌ๊ฐ๊ณผ ํ๋ฆ„ ๊ฐ•๋„๊ฐ€ ์„ธ๊ตด๊นŠ์ด ์˜ˆ์ธก์— ๊ฐ€์žฅ ์˜ํ–ฅ๋ ฅ ์žˆ๋Š” ๋งค๊ฐœ๋ณ€์ˆ˜์ž„์„ ๋ณด์—ฌ์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค.
  4. ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ์ด ์—ฐ๊ตฌ๋Š” ๋” ๋ณต์žกํ•œ ๋‹ค๋ฆฌ ๊ธฐ๋‘ฅ ํ˜•ํƒœ๋กœ ํ™•์žฅ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

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ํŒŒ๋„ / Waves

ํŒŒ๋„ / Waves

FLOW-3D ๋Š” ๋น„์ •ํ˜• ํŒŒ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ผ๋ฐ˜ ์„ ํ˜• ๋ฐ ๋น„์„ ํ˜•ํŒŒ ํ‘œ๋ฉด์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋Šฅ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์„ ํ˜•ํŒŒ๋Š” ์ž‘์€ ์ง„ํญ ๋ฐ ๊ธ‰๊ฒฝ์‚ฌ๋ฅผ ๊ฐ–๋Š” ์‚ฌ์ธํŒŒ ํ‘œ๋ฉด ํ”„๋กœํŒŒ์ผ์„ ๊ฐ€์ง€๋ฉฐ, ๋น„์„ ํ˜•ํŒŒ๋Š” ์„ ํ˜• ํŒŒ๋ณด๋‹ค ๋” ํฐ ์ง„ํญ (์œ ํ•œ ์ง„ํญ), ๋” ๋พฐ์กฑํ•œ ๋ณ ๋ฐ ํ‰ํƒ„ํ•œ ๊ณจ์งœ๊ธฐ๋ฅผ ๊ฐ–๋Š”๋‹ค. ๋น„์„ ํ˜• ํŒŒ๋Š” ํŒŒ๋™ ๋ฌธ์ž์™€ ๊ทธ ํ•ด๋ฅผ ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉ ๋œ ์ˆ˜ํ•™์  ๋ฐฉ๋ฒ•์— ๋”ฐ๋ผ ์Šคํ†ก (stookes), ์ฝ”๋‹ˆ์ด๋“œ (cnoidal) ํŒŒ ๋ฐ ๋‹จ์ผ ํŒŒ๋กœ ๋ถ„๋ฅ˜ ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ทธ๋ฆผ 1. ๋‹ค๋ฅธ ์ง„ํ–‰ํŒŒ์˜ ํ”„๋กœํŒŒ์ผ ๋น„๊ต
๋„ 1 ๋ฐ๋„ 2์— ๋„์‹œ ๋œ ๋ฐ”์™€ ๊ฐ™์ด, ์Šคํ†ก์Šค ํŒŒ๋Š” ์‹ฌ์ธต ๋ฐ ๊ณผ๋„์ˆ˜์˜ ์ฃผ๊ธฐ์ ์ธ ํŒŒ์ด๋‹ค. Cnoidal ํŒŒ๋Š” ์ฒœ์ˆ˜(shallow water)์™€ ์ค‘๊ฐ„ ๋ฌผ์—์„œ ๊ธด์ฃผ๊ธฐ์ ์ธ ํŒŒ์ด๊ณ  Stokes ํŒŒ๋ณด๋‹ค ๋” ๋พฐ์กฑํ•œ ๋งˆ๋ฃจ๊ณผ ํ‰ํ‰ํ•œ ๊ณจ์งœ๊ธฐ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์Šคํ†ก์Šค์™€ ์ฝ”๋‹ˆ ํ˜• ํŒŒ์™€ ๋‹ฌ๋ฆฌ ๋‹จ์ผ ํŒŒ๋Š” ์ฒœ์ˆ˜(shallow water)์™€ ๊ณผ๋„ ์ˆ˜์—์„œ ์กด์žฌํ•˜๋Š” ๋น„ ์ฃผ๊ธฐ์  ํŒŒ์ด๋‹ค. ๊ทธ๊ฒƒ์€ ํ•˜๋‚˜์˜ ๋งˆ๋ฃจ์™€ ๊ณจ์งœ๊ธฐ๋ฅผ ๊ฐ€์ง€๋ฉฐ ์™„์ „ํžˆ ๋ฐฉํ•ด๋ฐ›์ง€ ์•Š์€ ์ˆ˜๋ฉด ์œ„์ž…๋‹ˆ๋‹ค. ์ˆ˜ํ•™์ ์œผ๋กœ ํŒŒ์žฅ์ด ๋ฌดํ•œ๋Œ€๊ฐ€ ๋  ๋•Œ ๊ทธ๊ฒƒ์€ ์ฝ”๋‹ˆ ํ˜• ํŒŒ์˜ ์ œํ•œ์ ์ธ ๊ฒฝ์šฐ์ž…๋‹ˆ๋‹ค. ์‹ฌ์ธต์ˆ˜, ๊ณผ๋„ ์ˆ˜ ๋ฐ ํŒŒ๋„์— ๋Œ€ํ•œ ์ฒœ์ˆ˜(shallow water)์˜ ๋ถ„๋ฅ˜๋Š” ํ‘œ 1์—์„œ ์ฐพ์•„ ๋ณผ ์ˆ˜์žˆ๋‹ค.

๊ทธ๋ฆผ 2. ๋‹ค์–‘ํ•œ ํŒŒ๋„์˜ ์ ์šฉ ๋ฒ”์œ„ (Le Mรฉhautรฉ, 1976, Sorensen, 2005 ๋ฐ USACE, 2008). d : ํ‰๊ท  ์ˆ˜์‹ฌ; H : ํŒŒ๊ณ ; T : ํŒŒ์ฃผ๊ธฐ; g : ์ค‘๋ ฅ ๊ฐ€์†๋„

์„ ํ˜• ํŒŒ ์ด๋ก  (Airy, 1845)์ด ๋งŽ์€ ์‘์šฉ ๋ถ„์•ผ์—์„œ ์‚ฌ์šฉ๋˜์—ˆ์ง€๋งŒ ๋น„์„ ํ˜• ํŒŒ ์ด๋ก ์€ ํŒŒ๋™์˜ ์ง„ํญ์ด ์ž‘์ง€ ์•Š์€ ๊ฒฝ์šฐ ์„ ํ˜• ํŒŒ ์ด๋ก ๋ณด๋‹ค ์ •ํ™•๋„๊ฐ€ ํฌ๊ฒŒ ํ–ฅ์ƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. FLOW-3D ์—์„œ 3 ๊ฐœ์˜ ๋น„์„ ํ˜• ํŒŒ ์ด๋ก ์ด 5 ์ฐจ ์Šคํ†ก์Šค ํŒŒ ์ด๋ก  (Fenton, 1985), ์Šคํ†ก์Šค ๋ฐ ์ฝ”๋‹ˆ์ด๋“œ ํŒŒ์— ๋Œ€ํ•œ ํ‘ธ๋ฆฌ์— ๊ธ‰์ˆ˜ ๋ฐฉ๋ฒ• (Fenton, 1999), McCowan์˜ ๋…๋ฐฉ ํŒŒ ์ด๋ก  (McCowan, 1891, Munk, 1949). ๊ทธ ์ค‘์—์„œ Fenton์˜ Fourier ์‹œ๋ฆฌ์ฆˆ ๋ฐฉ๋ฒ•์€ ์„ ํ˜• ๋ฌผ, ์Šคํ†ก (Stokes) ๋ฐ ์ฝ”๋‹ˆํ˜• (cnoidal) ํŒŒ๋ฅผ ํฌํ•จํ•˜์—ฌ ์‹ฌ์ธต์ˆ˜, ๊ณผ๋„ ์ˆ˜ ๋ฐ ์ฒœ์ˆ˜(shallow water)์—์„œ ๋ชจ๋“  ์ข…๋ฅ˜์˜ ์ฃผ๊ธฐ์  ์ „ํŒŒ ํŒŒ๋“ค์— ์œ ํšจํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ๋‹ค๋ฅธ ์›จ์ด๋ธŒ ์ด๋ก ๋ณด๋‹ค ์ •ํ™•๋„๊ฐ€ ๋†’์Šต๋‹ˆ๋‹ค (USACE, 2008). ๋”ฐ๋ผ์„œ ๋ชจ๋“  ์ˆ˜์‹ฌ์—์„œ ์„ ํ˜• ๋ฐ ๋น„์„ ํ˜• ์ฃผ๊ธฐํŒŒ์˜ ๋ชจ๋“  ์œ ํ˜•์„ ์ƒ์„ฑํ•˜๋Š” ๊ฒƒ์ด ๊ถŒ์žฅ๋˜๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. solitary wave์˜ ๊ฒฝ์šฐ, FLOW-3D ์— ์‚ฌ์šฉ ๋œ McCowan์˜ ์ด๋ก ์€ Boussinesq (1871)์— ์˜ํ•ด ๊ฐœ๋ฐœ ๋œ ๋‹ค๋ฅธ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” ์ด๋ก ๋ณด๋‹ค ๋” ๋†’์€ ์ฃผ๋ฌธ ์ •ํ™•๋„๋ฅผ ๊ฐ–๋Š”๋‹ค.

๊ทธ๋ฆผ 3. PM๊ณผ JOHNSWAP ์ŠคํŽ™ํŠธ๋Ÿผ (USCE, 2006์—์„œ ์ ์‘)

Classificationsd /\lambda
Deep water1/2 to โˆž
Transitional water1/20 to 1/2
Shallow water0 to 1/20

๋ถˆ๊ทœ์น™ํŒŒ๋Š” ํŒŒ๋„์˜ ๋ฌผ์„ฑ์ด ์ผ์ •ํ•˜์ง€ ์•Š์€ ์ž์—ฐ์ ์ธ ๋ฐ”๋‹ค์˜ ์ƒํƒœ๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. FLOW-3D์—์„œ ๋ถˆ๊ทœ์น™ํ•œ ํŒŒ๋™์€ ๋‹ค์–‘ํ•œ ์ง„ํญ๊ณผ ์ฃผํŒŒ์ˆ˜ ๋ฐ ์ž„์˜์˜ ์œ„์ƒ ๋ณ€์ด๋ฅผ ๊ฐ–๋Š” ๋งŽ์€ ์„ ํ˜• ์„ฑ๋ถ„ ํŒŒ์˜ ์ค‘์ฒฉ์œผ๋กœ ํ‘œํ˜„๋ฉ๋‹ˆ๋‹ค. Pierson-Moskowitz (Pierson and Moskowitz, 1964)์™€ JONSWAP ํŒŒ๋ ฅ ์—๋„ˆ์ง€ ์ŠคํŽ™ํŠธ๋Ÿผ (Hasselmann, et al., 1973)์€ FLOW-3D์—์„œ ๊ตฌ์„ฑ ์š”์†Œ ํŒŒ๋ฅผ ์ƒ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ๊ตฌํ˜„๋œ๋‹ค. ๋‹ค๋ฅธ ์›จ์ด๋ธŒ ์—๋„ˆ์ง€ ์ŠคํŽ™ํŠธ๋Ÿผ์€ ์‚ฌ์šฉ์ž ์ •์˜ ๋ฐ์ดํ„ฐ ํŒŒ์ผ์„ ๊ฐ€์ ธ์™€์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ณ„์‚ฐ ์‹œ๊ฐ„์„ ์ ˆ์•ฝํ•˜๊ธฐ ์œ„ํ•ด ์›จ์ด๋ธŒ๋Š” ๋ฉ”์‹œ ๋ธ”๋ก ๊ฒฝ๊ณ„์—์„œ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ดˆ๊ธฐ ์กฐ๊ฑด์œผ๋กœ ์ •์˜ ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์•„๋ž˜์˜ ์• ๋‹ˆ๋ฉ”์ด์…˜์€ ์›จ์ด๋ธŒ ์ดˆ๊ธฐํ™”๊ฐ€ ์žˆ๊ฑฐ๋‚˜์—†๋Š” ์›จ์ด๋ธŒ์˜ ๋ชจ๋“  ์œ ํ˜•์— ๋Œ€ํ•œ ์˜ˆ์ œ๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
์„ ํ˜• ๋ฐ ๋น„์„ ํ˜• ์ˆ˜์œ„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์œ„ํ•ด FLOW-3D ์˜ ์„ฑ๊ณต์ ์ธ ์ ์šฉ์ด ์ด๋ฃจ์–ด์กŒ์Šต๋‹ˆ๋‹ค. Bhinder ์™ธ์˜ ์˜ˆ๋ฅผ ์ฐธ์กฐํ•˜์‹ญ์‹œ์˜ค. al (2009), Chen (2012), Hsu et. al (2012) Thanyamanta et. al (2011) ๋ฐ Yilmaz et. ์ž์„ธํ•œ ๋‚ด์šฉ์€ ์•Œ (2011)์„ ์ฐธ์กฐํ•˜์‹ญ์‹œ์˜ค.






References

Airy, G. B., 1845, Tides and Waves, Encyc. Metrop. Article 102.

Bhinder, M. A., Mingham, C. G., Causon, D. M., Rahmati, M. T., Aggidis, G. A. and Chaplin, R.V., 2009, A Joint Numerical And Experimental Study Of a Surging Point Absorbing Wave Energy Converter (WRASPA), Proceedings of the ASME 28th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2009-79392, Honolulu, Hawaii.

Boussinesq, J., 1871, Theorie de Lโ€™intumescence Liquide Appelee Onde Solitaire ou de Translation se Propageant dans un Canal Rectangulaire, Comptes Rendus Acad. Sci. Paris, Vol 72, pp. 755-759.

Chen, C. H., 2012, Study on the Application of FLOW-3D for Wave Energy Dissipation by a Porous Structure, Masterโ€™s Thesis: Department of Marine Environment and Engineering, National Sun Yat-sen University.

Fenton, J. D., 1985, A Fifth-Order Stokes Theory for Steady Waves, Journal of Waterway, Port, Coastal and Ocean Engineering, Vol. 111, No. 2.

Fenton, J. D., 1999, Numerical Methods for Nonlinear Waves, Advances in Coastal and Ocean Engineering, Vol. 5, ed. P.L.-F. Liu, pp. 241-324, World Scientific: Singapore, 1999.

Hasselmann, K., Barnet, T. P., Bouws, E., Carlson, H., Cartwright, D. E., Enke, K., Ewing, J. A., Gienapp, H., Hasselmann, D. E., Kruseman, P., Meerburg, A., Muller, P., Olbers, D. J., Richter, K., Sell, W., and Walden, H., 1973, Measurement of Wind-Wave Growth and Swell Decay During the Joint North Sea Wave Project (JONSWAP), German Hydrographic Institute, Amburg.

Hsu, T. W., Lai, J. W. and Lan, Y., J., 2012, Experimental and Numerical Studies on Wave Propagation over Coarse Grained Sloping Beach, Proceedings of the International Conference on Coastal Engineering,ย No 32 (2010), Shanghai, China.

Kamphuis, J. M., 2000, Introduction to Coastal Engineering and Management, World Scientific, Singapore.

Le Mรฉhautรฉ, B., 1976, An Introduction to Hydrodynamics and Water Waves, Springer-Verlag.

McCowan, J., 1891, On the solitary wave, Philosophical Magazine, Vol. 32, pp. 45-58.

Munk, W. H., 1949, The Solitary Wave Theory and Its Application to Surf Problems, Annals New York Acad. Sci., Vol 51, pp 376-423.

Pierson W. J. and Moskowitz, L., 1964, A proposed spectral form for fully developed wind seas based on the similarity theory of S.A. Kitiagordskii, J. Geophys. Res. 9, pp. 5181-5190.

Thanyamanta, W., Herrington, P. and Molyneux, D., 2011, 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.

USACE (U.S. Army Corps of Engineers), 2006, Coastal Engineering Manual, EM 1110-2-1100, Washington, DC.

Yilmaz, N., Trapp, G. E., Gagan, S. M. and Emmerich, T., R., 2011 CFD Supported Examination of Buoy Design for Wave Energy Conversion, IGEC-VI-2011-173, pp. 537-541

kinetic energy

Numerical Investigation of the Effect Dimensions of Rectangular Sedimentation Tanks on Its Hydraulic Efficiency Using Flow-3D Software

FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์ด์šฉํ•œ ์ง์‚ฌ๊ฐํ˜• ์นจ์ „์ง€(Rectangular Sedimentation Tank) ์น˜์ˆ˜๊ฐ€ ์ˆ˜๋ฆฌ ํšจ์œจ(Hydraulic Efficiency)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ์ˆ˜์น˜์  ์—ฐ๊ตฌ

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ์นจ์ „์ง€(Settling Basin)๋Š” ์ˆ˜์ฒ˜๋ฆฌ ๋ฐ ํ์ˆ˜ ์ฒ˜๋ฆฌ ๊ณต์ •์—์„œ ์ž…์ž ์นจ์ „(Sediment Separation)์„ ์œ„ํ•ด ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค.
    • ์นจ์ „์ง€์˜ ํšจ์œจ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด์„œ๋Š” ์›ํ™œํ•˜๊ณ  ๊ท ์ผํ•œ ํ๋ฆ„์„ ์œ ์ง€ํ•˜๊ณ , ์ˆœํ™˜ ์˜์—ญ(Circulation Zone)์„ ์ตœ์†Œํ™”ํ•ด์•ผ ํ•œ๋‹ค.
    • ๊ธฐ์กด ์„ค๊ณ„ ๋ฐฉ๋ฒ•์€ ๊ฒฝํ—˜์  ๊ณต์‹์— ์˜์กดํ•˜์—ฌ ์œ ์ฒด์˜ ์—ญํ•™์  ์„ธ๋ถ€ ์‚ฌํ•ญ์„ ์ถฉ๋ถ„ํžˆ ๊ณ ๋ คํ•˜์ง€ ๋ชปํ•˜๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ง์‚ฌ๊ฐํ˜• ์นจ์ „์ง€์˜ ์น˜์ˆ˜(Length/Width ๋ฐ Length/Depth ๋น„์œจ)๊ฐ€ ํ๋ฆ„ ํŒจํ„ด๊ณผ ์ˆ˜๋ฆฌ ํšจ์œจ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„.
    • ์นจ์ „์ง€์˜ ์ˆœํ™˜ ์˜์—ญ ๊ฐ์†Œ ๋ฐ ์นจ์ „ ํšจ์œจ ์ตœ์ ํ™”๋ฅผ ๋ชฉํ‘œ๋กœ ํ•จ.
    • L/W(๊ธธ์ด/๋„ˆ๋น„) ๋ฐ L/d(๊ธธ์ด/๊นŠ์ด) ๋น„์œจ ๋ณ€ํ™”๋ฅผ ํ†ตํ•œ ์ตœ์ ์˜ ์นจ์ „์ง€ ์„ค๊ณ„ ์กฐ๊ฑด ๋„์ถœ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ์ˆ˜์น˜ ๋ชจ๋ธ๋ง ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด์˜ VOF(Volume of Fluid) ๊ธฐ๋ฒ• ๋ฐ FAVOR(Fractional Area/Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ๋™ ๋ฐ ์ง€ํ˜• ๋ชจ๋ธ๋ง.
    • k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ๋™ ํŒจํ„ด์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜.
    • ์นจ์ „์ง€ ์„ค๊ณ„:
      • ์ž…๊ตฌ(Inlet) ๋ฐ ์ถœ๊ตฌ(Outlet) ์œ„์น˜์™€ ๋ถ€ํ”ผ๋Š” ๋ชจ๋“  ์‹œ๋‚˜๋ฆฌ์˜ค์—์„œ ๋™์ผํ•˜๊ฒŒ ์œ ์ง€.
      • ์ง์‚ฌ๊ฐํ˜• ์นจ์ „์ง€์˜ L/W ๋น„์œจ: 1, 2, 4, 8 (Case 1~4)
      • L/d ๋น„์œจ: 5, 7, 10 (Case 5, 3, 6)
    • ๋ชจ๋ธ ๊ฒ€์ฆ:
      • Shahrokhi et al. ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ ํ‰๊ฐ€.
  2. ์นจ์ „์ง€ ์น˜์ˆ˜ ์‹œ๋‚˜๋ฆฌ์˜ค
    • L/W ๋น„์œจ ์‹œ๋‚˜๋ฆฌ์˜ค:
      • ๊ธธ์ด ์ฆ๊ฐ€์™€ ๋„ˆ๋น„ ๊ฐ์†Œ๋ฅผ ๋™์‹œ์— ์ ์šฉํ•˜์—ฌ ์ˆœํ™˜ ์˜์—ญ์˜ ๋ถ€ํ”ผ ๋ณ€ํ™” ๋ถ„์„.
      • Case 1(์ •์‚ฌ๊ฐํ˜•, L/W = 1)๋ถ€ํ„ฐ Case 4(L/W = 8)๊นŒ์ง€ ๋น„๊ต.
    • L/d ๋น„์œจ ์‹œ๋‚˜๋ฆฌ์˜ค:
      • ๊นŠ์ด ๊ฐ์†Œ์™€ ํ•จ๊ป˜ ๊ธธ์ด ๊ณ ์ •(2 m) ์กฐ๊ฑด์—์„œ ์ˆœํ™˜ ์˜์—ญ ๋ฐ ์—๋„ˆ์ง€ ๋ถ„ํฌ ๋ถ„์„.
      • Case 5(L/d = 5), Case 3(L/d = 7), Case 6(L/d = 10) ๋น„๊ต.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. L/W ๋น„์œจ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์˜ํ–ฅ
    • ์ˆœํ™˜ ์˜์—ญ ๋ถ€ํ”ผ ๊ฐ์†Œ ํšจ๊ณผ:
      • L/W ๋น„์œจ ์ฆ๊ฐ€ ์‹œ, ์ˆœํ™˜ ์˜์—ญ ๋ถ€ํ”ผ๊ฐ€ 53% โ†’ 22%๋กœ ๊ฐ์†Œ.
      • ์ •์‚ฌ๊ฐํ˜• ํƒฑํฌ(L/W = 1)์—์„œ ์ˆœํ™˜ ์˜์—ญ ๋ถ€ํ”ผ๋Š” 53%, L/W = 8์—์„œ๋Š” 22%๋กœ ๊ฐ์†Œ.
    • ์œ ์† ๋ฐ ์—๋„ˆ์ง€ ๋ถ„ํฌ ๋ณ€ํ™”:
      • ์ตœ๋Œ€ ์šด๋™ ์—๋„ˆ์ง€(red zone)๊ฐ€ 80% โ†’ 30%๋กœ ๊ฐ์†Œ.
      • ์ด๋Š” ์ž…์ž ์นจ์ „ ํšจ์œจ์„ ํฌ๊ฒŒ ๊ฐœ์„ ํ•จ์„ ์˜๋ฏธ.
  2. L/d ๋น„์œจ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์˜ํ–ฅ
    • ์ˆœํ™˜ ์˜์—ญ ๊ฐ์†Œ ํšจ๊ณผ:
      • L/d ๋น„์œจ ์ฆ๊ฐ€(5 โ†’ 10) ์‹œ, ์ˆœํ™˜ ์˜์—ญ ๋ถ€ํ”ผ 54% โ†’ 16%๋กœ ๊ฐ์†Œ.
      • ๊นŠ์ด ๊ฐ์†Œ(0.4m โ†’ 0.2m) ์‹œ, ์ˆœํ™˜ ์˜์—ญ ๊ฐ์†Œ ๋ฐ ์œ ์† ๊ท ์ผํ™” ํšจ๊ณผ ๋ฐœ์ƒ.
    • ์šด๋™ ์—๋„ˆ์ง€ ๋ถ„ํฌ ๊ฐœ์„ :
      • ์ตœ๋Œ€ ์šด๋™ ์—๋„ˆ์ง€ ์˜์—ญ ๊ธธ์ด๊ฐ€ 1.5m โ†’ 0.9m๋กœ ๊ฐ์†Œ.
      • ์ด๋Š” ์นจ์ „์ง€ ๋ฐ”๋‹ฅ์— ๋ถ€๋“œ๋Ÿฝ๊ณ  ๊ท ์ผํ•œ ํ๋ฆ„์„ ํ˜•์„ฑํ•˜์—ฌ ์นจ์ „ ํšจ์œจ์„ ํ–ฅ์ƒ์‹œํ‚ด.
  3. ๋ชจ๋ธ ๊ฒ€์ฆ ๊ฒฐ๊ณผ
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ฐ„ ๋†’์€ ์ผ์น˜๋„ ํ™•์ธ.
    • ์†๋„ ํ”„๋กœํŒŒ์ผ์˜ ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE)๊ฐ€ x ๋ฐฉํ–ฅ 0.11, 0.07, 0.08, z ๋ฐฉํ–ฅ 0.13, 0.10, 0.19๋กœ ๋ถ„์„๋จ.
    • ์ด๋Š” ์œ ๋™ ํŒจํ„ด ์˜ˆ์ธก ์ •ํ™•๋„๊ฐ€ ๋†’์Œ์„ ์˜๋ฏธ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • FLOW-3D๋ฅผ ํ™œ์šฉํ•œ ์นจ์ „์ง€ ์„ค๊ณ„ ์ตœ์ ํ™” ๊ฐ€๋Šฅ์„ฑ ์ž…์ฆ.
    • L/W ๋น„์œจ์ด 4 ์ด์ƒ, L/d ๋น„์œจ์ด 7 ์ด์ƒ์ผ ๋•Œ ์ตœ์ ์˜ ์นจ์ „ ํšจ์œจ์„ ์ œ๊ณต.
    • ์ˆœํ™˜ ์˜์—ญ ๋ถ€ํ”ผ๋ฅผ ๊ฐ์†Œ์‹œ์ผœ ์ž…์ž ์นจ์ „ ์„ฑ๋Šฅ์„ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ์Œ.
    • ์ตœ์ ํ™”๋œ ์„ค๊ณ„๋Š” ๊ฑด์„ค ๋ฐ ์œ ์ง€๋ณด์ˆ˜ ๋น„์šฉ ์ ˆ๊ฐ์—๋„ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Œ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ์นจ์ „์ง€(L์žํ˜• ๋“ฑ)๋ฅผ ๋Œ€์ƒ์œผ๋กœ L/W ๋ฐ L/d ๋น„์œจ์— ๋”ฐ๋ฅธ ์ถ”๊ฐ€ ์—ฐ๊ตฌ ํ•„์š”.
    • ๋‹ค์–‘ํ•œ ์œ ๋™ ์กฐ๊ฑด ๋ฐ ์ž…์ž ํŠน์„ฑ์„ ๊ณ ๋ คํ•œ ์ˆ˜์น˜ ๋ชจ๋ธ ๊ณ ๋„ํ™”.
    • AI ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ™œ์šฉํ•œ ์‹ค์‹œ๊ฐ„ ์นจ์ „์ง€ ์„ฑ๋Šฅ ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ๋ฐœ.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ†ตํ•ด ์ง์‚ฌ๊ฐํ˜• ์นจ์ „์ง€์˜ ์น˜์ˆ˜ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•œ ์„ค๊ณ„ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ๊ณตํ•˜๋ฉฐ, ์ˆ˜์ฒ˜๋ฆฌ ๋ฐ ํ์ˆ˜ ์ฒ˜๋ฆฌ ๊ณต์ •์˜ ํšจ์œจ์„ ๊ทน๋Œ€ํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์‹ค์งˆ์ ์ธ ๋ฐ์ดํ„ฐ์™€ ์„ค๊ณ„ ๊ธฐ์ค€์„ ์ œ์‹œํ•œ๋‹คโ€‹.

Reference

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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, Greece
  • At: Athens, Greece

Authors:

Katarina Licht

  • University of Zagreb Faculty of Civil Engineering
Ivan Halkijevic at University of Zagreb

Ivan Halkijevic

Hana Posavcic at University of Zagreb

Hana Posavcic

Goran Loncar at University of Zagreb

Goran Loncar

Abstract and Figures

3D ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹คํ—˜์„ ํ†ตํ•ด ์ดˆ์ŒํŒŒ ์ฒ˜๋ฆฌ๋ฅผ ๋ณ‘ํ–‰ํ•œ ๊ฒฝ์šฐ์™€ ๋ณ‘ํ–‰ํ•˜์ง€ ์•Š์€ ๊ฒฝ์šฐ์˜ ์ „๊ธฐํ™”ํ•™ ๋ฐ˜์‘๊ธฐ์—์„œ์˜ ์ŠคํŠธ๋ก ํŠฌ ์ œ๊ฑฐ ํšจ์œจ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ดˆ์ŒํŒŒ๋Š” ์ž‘๋™ ์ฃผํŒŒ์ˆ˜ 25kHz์˜ ์ดˆ์ŒํŒŒ ํŠธ๋žœ์Šค๋“€์„œ 4๊ฐœ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ฐœ์ƒ์‹œ์ผฐ๋‹ค. ๋ฐ˜์‘๊ธฐ์—๋Š” ๋‘ ๊ฐœ์˜ ๋ธ”๋ก์œผ๋กœ ๋ฐฐ์—ด๋œ 8๊ฐœ์˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ์ „๊ทน์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ์ˆ˜์ค‘์˜ ์ŠคํŠธ๋ก ํŠฌ ์ด์˜จ์€ ์ „ํ•˜๋Ÿ‰ 3.2โ€ข10โปยนโน C, ์ง๊ฒฝ 1.2โ€ข10โปโธ m์˜ ์ž…์ž๋กœ ๋ชจ๋ธ๋ง๋˜์—ˆ๋‹ค. ์ˆ˜์น˜ ๋ชจ๋ธ์€ Flow-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ๋ณธ ์œ ์ฒด์—ญํ•™ ๋ชจ๋“ˆ, ์ •์ „๊ธฐ ๋ชจ๋“ˆ, ์ผ๋ฐ˜ ์ด๋™ ๋ฌผ์ฒด ๋ชจ๋“ˆ์„ ํ†ตํ•ด ์ƒ์„ฑ๋˜์—ˆ๋‹ค. ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ ๋ฐ˜์‘๊ธฐ ์„ฑ๋Šฅ ํ‰๊ฐ€๋Š” ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ข…๋ฃŒ ์‹œ์ ์— ์ „๊ทน์— ์˜๊ตฌ์ ์œผ๋กœ ๋ถ™์žกํžŒ ๋ชจ๋ธ ์ŠคํŠธ๋ก ํŠฌ ์ž…์ž์˜ ์ˆ˜์™€ ์ดˆ๊ธฐ ๋ฌผ์† ์ž…์ž ์ˆ˜์˜ ๋น„์œจ๋กœ ์ •์˜๋œ๋‹ค. ์‹คํ—˜ ๋ฐ˜์‘๊ธฐ์˜ ๊ฒฝ์šฐ, ์ŠคํŠธ๋ก ํŠฌ ์ œ๊ฑฐ ํšจ๊ณผ๋Š” ์‹คํ—˜ ์‹œ์ž‘ ๋ฐ ์ข…๋ฃŒ ์‹œ์ ์˜ ๋ฌผ์† ์ŠคํŠธ๋ก ํŠฌ ๊ท ์ผ ๋†๋„์˜ ๋น„์œจ๋กœ ์ •์˜๋œ๋‹ค. ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ์ดˆ์ŒํŒŒ๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด 180์ดˆ์˜ ์ฒ˜๋ฆฌ ํ›„ ์ŠคํŠธ๋ก ํŠฌ ์ œ๊ฑฐ ํšจ๊ณผ๊ฐ€ 10.3%์—์„œ 11.2%๋กœ ์ฆ๊ฐ€ํ•œ๋‹ค. ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋Š” ๋™์ผํ•œ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ์„ ๊ฐ€์ง„ ๋ฐ˜์‘๊ธฐ์— ๋Œ€ํ•œ ์‹คํ—˜ ์ธก์ • ๊ฒฐ๊ณผ์™€ ์ผ์น˜ํ•œ๋‹ค.

Keywords:

numerical model, electrochemical reactor, strontium

1. Introduction

์ŠคํŠธ๋ก ํŠฌ(Sr)์€ ์ž์—ฐ์ ์œผ๋กœ ์กด์žฌํ•˜๋Š” ์›์†Œ๋กœ, ๋งŽ์€ ํ‡ด์ ์•”๊ณผ ์ผ๋ถ€ ๋ฐฉํ•ด์„ ๊ด‘๋ฌผ์—์„œ ๋ฐœ๊ฒฌ๋œ๋‹ค. ์ฃผ์š” ์ธ์œ„์  ๋ฐœ์ƒ์›์œผ๋กœ๋Š” ์‚ฐ์—… ํ™œ๋™, ๋น„๋ฃŒ, ํ•ต ๋‚™์ง„ ๋“ฑ์ด ์žˆ๋‹ค(Scott et al., 2020). ์ˆ˜์ค‘ Sr ๋†๋„๊ฐ€ 1.5 mg Lโปยน๋ฅผ ์ดˆ๊ณผํ•  ๊ฒฝ์šฐ, ํŠนํžˆ ์–ด๋ฆฐ์ด์—๊ฒŒ ์ŠคํŠธ๋ก ํŠฌ ๊ตฌ๋ฃจ๋ณ‘ ๋ฐ ๊ธฐํƒ€ ๊ฑด๊ฐ• ๋ฌธ์ œ๋ฅผ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ๋‹ค(Epa et al., n.d.; Peng et al., 2021; Scott et al., 2020). ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์‹์ˆ˜์—์„œ ๋†’์€ Sr ๋†๋„๊ฐ€ ๋ณด๊ณ ๋˜์—ˆ์œผ๋ฉฐ, ๋ฏธ๊ตญ ๋ถ๋ถ€์˜ ์ง€ํ•˜์ˆ˜์—์„œ๋Š” ์ตœ๋Œ€ 52 mg Lโปยน์˜ ๋†๋„๊ฐ€ ๊ด€์ธก๋œ ๋ฐ” ์žˆ๋‹ค(Luczaj and Masarik, 2015; Peng et al., 2021; Scott et al., 2020). Sr ์ œ๊ฑฐ๋ฅผ ์œ„ํ•œ ๊ฐ€๋Šฅํ•œ ์ •ํ™” ๊ธฐ์ˆ  ์ค‘ ํ•˜๋‚˜๋Š” ์ „๊ธฐํ™”ํ•™์  ๊ณต์ •์ด๋‹ค(Kamaraj and Vasudevan, 2015). ์ด ๊ณต์ •์€ ๊ธˆ์† ์ „๊ทน์— ์ „๋ฅ˜๋ฅผ ๊ฐ€ํ•ด ๋ฐ˜์‘๊ธฐ ๋‚ด๋ถ€์—์„œ ์‘์ง‘์ œ๋ฅผ ํ˜•์„ฑํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ์ž‘๋™ํ•œ๋‹ค. ๊ณต์ •์€ ํฌ์ƒ ์–‘๊ทน์˜ ์šฉํ•ด, ์Œ๊ทน์—์„œ์˜ ์ˆ˜์‚ฐํ™”์ด์˜จ ๋ฐ ์ˆ˜์†Œ ์ƒ์„ฑ, ์ „๊ทน ํ‘œ๋ฉด์—์„œ์˜ ์ „ํ•ด์งˆ ๋ฐ˜์‘, ์ฝœ๋กœ์ด๋“œ ๋ถˆ์ˆœ๋ฌผ๊ณผ ์ „๊ทน์— ๋Œ€ํ•œ ์‘์ง‘์ œ์˜ ํก์ฐฉ, ๊ทธ๋ฆฌ๊ณ  ์ƒ์„ฑ๋œ ํ”Œ๋ก์˜ ์นจ์ „ ๋˜๋Š” ๋ถ€์ƒ ์ œ๊ฑฐ๋กœ ๊ตฌ์„ฑ๋œ๋‹ค(Mollah et al., 2001). ์ด ๊ณต์ •์˜ ์ฃผ์š” ๋‹จ์  ์ค‘ ํ•˜๋‚˜๋Š” ์ „๊ทน์˜ ๋ถ„๊ทน๊ณผ ํ”ผ๋ง‰ ํ˜•์„ฑ์ด๋ฉฐ, ์ด๋Š” ์ดˆ์ŒํŒŒ ์ฒ˜๋ฆฌ๋ฅผ ๋ณ‘ํ–‰ํ•จ์œผ๋กœ์จ ์ค„์ผ ์ˆ˜ ์žˆ๋‹ค(Dong et al., 2016; Ince, 2018; Moradi et al., 2021). ์ดˆ์ŒํŒŒ ์บ๋น„ํ…Œ์ด์…˜์€ ์šฉ์งˆ์˜ ์—ด๋ถ„ํ•ด ๋ฐ ์ˆ˜์‚ฐ๊ธฐ ๋ผ๋””์นผ, ๊ณผ์‚ฐํ™”์ˆ˜์†Œ ๋“ฑ ๋ฐ˜์‘์„ฑ ์ข…์˜ ํ˜•์„ฑ์„ ์œ ๋„ํ•  ์ˆ˜ ์žˆ๋‹ค(Mohapatra and Kirpalani, 2019). ๋˜ํ•œ ์ด๋Š” ์šฉ์งˆ์˜ ๋ฌผ์งˆ ์ „๋‹ฌ ์†๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๊ณ , ๊ณ ์ฒด ์ž…์ž์˜ ํ‘œ๋ฉด ํŠน์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚จ๋‹ค(Fu et al., 2016; Ziylan et al., 2013). ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ฃผ๋กœ Sr ๋†๋„๊ฐ€ ๋†’์€ ์˜ค์—ผ์ˆ˜๋ฅผ ์ •ํ™”ํ•˜๊ธฐ ์œ„ํ•œ ์ „๊ธฐํ™”ํ•™์ (EC) ์ผ๊ด„ ๋ฐ˜์‘๊ธฐ์˜ ์ดˆ์ŒํŒŒ(US) ๋ณ‘ํ–‰ ์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ์ฒ˜๋ฆฌ ํšจ์œจ์„ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. 3D ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋Š” ์‹คํ—˜์‹ค EC ๋ฐ˜์‘๊ธฐ์—์„œ์˜ ์ธก์ • ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๊ฒ€์ฆ๋œ๋‹ค.

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Fig. 6-Shear stress distribution upstream of the orifice for different depths

Modeling Longitudinal and Transverse Velocity Profiles Upstream of an Orifice Using the FLOW-3D Model

๋ณธ ์†Œ๊ฐœ ์ž๋ฃŒ๋Š” Irrigation Sciences and Engineering (JISE)์—์„œ ๋ฐœํ–‰ํ•œ “Modeling Longitudinal and Transverse Velocity Profiles Upstream of an Orifice Using the FLOW-3D Model” ๋…ผ๋ฌธ์˜ ์—ฐ๊ตฌ ๋‚ด์šฉ์„ ๋‹ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Fig. 6-Shear stress distribution upstream of the orifice for different depths
Fig. 6-Shear stress distribution upstream of the orifice for different depths

์„œ๋ก 

  • ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ
    • ์ด๋ž€์—์„œ๋Š” ๋ฌผ ๋ถ€์กฑ ์œ„๊ธฐ๋กœ ์ธํ•ด ์ˆ˜์ž์› ๊ด€๋ฆฌ๊ฐ€ ๋งค์šฐ ์ค‘์š”ํ•ด์กŒ์Œ.
    • ๋Œ ์ €์ˆ˜์ง€๋Š” ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ˆ˜์ž์› ์ค‘ ํ•˜๋‚˜์ž„.
    • ํ•˜์ฒœ์— ๋Œ์„ ๊ฑด์„คํ•˜๋ฉด ์ €์ˆ˜์ง€์˜ ์œ ์†์ด ๊ฐ์†Œํ•˜์—ฌ ํ‡ด์ ๋ฌผ์ด ์Œ“์ด๊ฒŒ ๋จ.
    • ๋Œ ์ €์ˆ˜์ง€์— ํ‡ด์ ๋ฌผ์ด ์Œ“์ด๋ฉด ์œ ํšจ ๋ถ€ํ”ผ๊ฐ€ ์ค„์–ด๋“ค๊ณ  ์ €์ˆ˜ ๊ธฐ๋Šฅ์ด ์ €ํ•˜๋จ.
    • ๋”ฐ๋ผ์„œ ๋Œ ์ˆ˜๋ช… ๋™์•ˆ ํ‡ด์ ๋ฌผ์„ ๊ด€๋ฆฌํ•˜๊ณ  ๋ฐฐ์ถœํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์ด ์ง€์†์ ์œผ๋กœ ์ œ์‹œ๋˜์–ด ์™”์œผ๋ฉฐ, ๊ฐ€์•• ํ”Œ๋Ÿฌ์‹ฑ์€ ํ‡ด์ ๋ฌผ์„ ์ œ๊ฑฐํ•˜๋Š” ์ผ๋ฐ˜์ ์ธ ํ•ด๊ฒฐ์ฑ…์ž„.
    • ์ด ๋ฐฉ๋ฒ•์—์„œ๋Š” ํ•˜๋ถ€ ์ˆ˜๋ฌธ์„ ๊ฐœ๋ฐฉํ•˜์—ฌ ์ƒ๋ฅ˜์˜ ์ˆ˜์••์œผ๋กœ ์˜ค๋ฆฌํ”ผ์Šค๋ฅผ ํ†ตํ•ด ํ‡ด์ ๋ฌผ์„ ๋ฐฐ์ถœํ•จ.
    • ์ด๋™๋œ ํ‡ด์ ๋ฌผ์˜ ์–‘์€ ์ˆ˜๋ฌธ ์ง๊ฒฝ, ํ‡ด์ ๋ฌผ์˜ ์ข…๋ฅ˜ ๋ฐ ํฌ๊ธฐ, ์ˆ˜๋ฌธ ์ƒ๋ฅ˜์˜ ์ˆ˜์œ„, ์œ ์ถœ๋Ÿ‰๊ณผ ๊ฐ™์€ ์—ฌ๋Ÿฌ ์š”์ธ์˜ ํ•จ์ˆ˜์ž„.
    • Shahmirzadi et al.(2010)์€ ํ•˜๋ถ€ ๋ฐฉ๋ฅ˜ ์žฅ์น˜์˜ ์ง๊ฒฝ์ด ํ”Œ๋Ÿฌ์‹ฑ ์ฝ˜์˜ ํฌ๊ธฐ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‹คํ—˜์ ์œผ๋กœ ํ‰๊ฐ€ํ•จ.
    • Powell and Khan (2015)์€ ๊ณ ์ •์ธต ๋ฐ ํ‰ํ˜• ์„ธ๊ตด(์ด๋™์ธต) ์กฐ๊ฑด์—์„œ ๋Œ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ํ๋ฆ„ ํŒจํ„ด์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•œ ํ…Œ์ŠคํŠธ๋ฅผ ์ˆ˜ํ–‰ํ•จ.
    • ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ์†๋„ ์ˆ˜ํ‰ ์„ฑ๋ถ„์€ ๊ณ ์ • ๋ฐ ํ‰ํ˜• ์„ธ๊ตด ์กฐ๊ฑด์—์„œ ๊ฑฐ์˜ ๋™์ผํ–ˆ์œผ๋ฉฐ, ์†๋„์˜ ์ˆ˜์ง ์„ฑ๋ถ„๋„ ๋™์ผํ•œ ์กฐ๊ฑด์ด์—ˆ์Œ.
    • Bryant et al.(2008)์€ ์—ฌ๋Ÿฌ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜๊ณ  ๋ช‡ ๊ฐ€์ง€ ์ˆ˜์น˜ ๊ด€๊ณ„๋ฅผ ์ œ์•ˆํ•˜์—ฌ ๋‹ค์–‘ํ•œ ํฌ๊ธฐ์˜ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ํ๋ฆ„ ํŒจํ„ด์„ ์—ฐ๊ตฌํ•จ.
    • ๊ทธ๋“ค์€ ํšก๋ฐฉํ–ฅ ๋ฐ ๊นŠ์ด ์†๋„ ํ”„๋กœํŒŒ์ผ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ๊ทน์ขŒํ‘œ๊ณ„๋ฅผ ์‚ฌ์šฉํ–ˆ์œผ๋ฉฐ, ์ด ๋ฐฉ๋ฒ•์ด ์˜ค๋ฆฌํ”ผ์Šค ๊ทผ์ฒ˜์˜ ์†๋„ ํ”„๋กœํŒŒ์ผ๋ณด๋‹ค ๋” ๋‚˜์€ ์˜ˆ์ธก์„ ์ œ๊ณตํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๋ฐœ๊ฒฌํ•จ.
    • Wei et al.(2014)์€ FLOW-3D ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ€์•• ํ”Œ๋Ÿฌ์‹ฑ ์ฝ˜์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•จ.
    • ๊ทธ๋“ค์€ ์„ธ๊ตด ๊ตฌ๋ฉ, ํ•˜์ƒํ†  ๋ฐ ๋ถ€์œ ์‚ฌ ํ•˜์ค‘์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•  ์ˆ˜ ์žˆ๋Š” 3D ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•จ.
    • Dargahi (2010)๋Š” FLOW-3D ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ํ•˜๋ถ€ ์œ ์ถœ๊ตฌ์˜ ๋ฐฉ์ „ ํŠน์„ฑ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ๊ฒฐ๊ณผ๋ฅผ ์ด์ง‘ํŠธ ์•„์Šค์™„ ๋Œ์˜ ์ถ•์†Œ ๋ชจ๋ธ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•จ.
    • ์–ป์–ด์ง„ ๊ฒฐ๊ณผ๋Š” RNG ๋‚œ๋ฅ˜ ๋ชจ๋ธ์ด k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์— ๋น„ํ•ด ์ •ํ™•๋„๊ฐ€ ๋” ๋†’๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์คŒ.
    • Chapokpour et al.(2012)์€ FLOW-3D ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์™€๋ฅ˜ ํ๋ฆ„ ๊ฑฐ๋™์„ ์—ฐ๊ตฌํ•จ.
    • ์†๋„ ์„ฑ๋ถ„์„ ํ‰๊ฐ€ํ•œ ๊ฒฐ๊ณผ, ์ผ๋ถ€ ์ง€์ ์—์„œ ์—ฌ๋Ÿฌ ์‹œ๊ณ„ ๋ฐฉํ–ฅ ๋ฐ ๋ฐ˜์‹œ๊ณ„ ๋ฐฉํ–ฅ ์™€๋ฅ˜๊ฐ€ ๋ฐœ๊ฒฌ๋จ.
    • ๋˜ํ•œ, ์–ป์–ด์ง„ ๊ฒฐ๊ณผ๋ฅผ ์ด์ „์˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, FLOW-3D ์ˆ˜์น˜ ๋ชจ๋ธ์ด ์™€๋ฅ˜ ํ๋ฆ„์„ ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ์Œ์ด ๋‚˜ํƒ€๋‚จ.
    • Chanson et al.(2002)์€ ์ˆ˜์œ„๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๋™์•ˆ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ๋น„์ •์ƒ ํ๋ฆ„ ๊ฑฐ๋™์„ ์‹คํ—˜์ ์œผ๋กœ ์กฐ์‚ฌํ•จ.
    • Powell and Khan (2012)์€ ๋™์ผํ•œ ๋งฅ๋ฝ์—์„œ ์‹คํ—˜ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์—ฌ ์˜ค๋ฆฌํ”ผ์Šค๋กœ๋ถ€ํ„ฐ์˜ ์ƒ๋Œ€ ๊ฑฐ๋ฆฌ๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์˜ค๋ฆฌํ”ผ์Šค ์ค‘์‹ฌ์„ ๋”ฐ๋ผ ํ๋ฅด๋Š” ์†๋„๊ฐ€ ๊ฐ์†Œํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์คŒ.
    • Shammaa et al.(2009)์€ ํ๋ฆ„ ํฌํ…์…œ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ฒŒ์ดํŠธ ๋ฐ ์˜ค๋ฆฌํ”ผ์Šค ํ›„๋ฉด์˜ ํ๋ฆ„ ํŒจํ„ด์„ ์ •์˜ํ•˜๊ณ  ๋‹ค์–‘ํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค์— ๋”ฐ๋ผ ๋ถ„์„์ ์œผ๋กœ ํ•ด๊ฒฐํ•จ.
  • ์—ฐ๊ตฌ ๋ชฉํ‘œ
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ”Œ๋กœ์šฐ-3D ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์ˆ˜์‹ฌ์—์„œ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ข…๋ฐฉํ–ฅ ํ๋ฆ„ ์†๋„ ํ”„๋กœํŒŒ์ผ์„ ์˜ˆ์ธกํ•˜๋Š” ๊ฒƒ์„ ์—ฐ๊ตฌํ•จ.
    • ์‹คํ—˜ ์„ค๊ณ„๋Š” LES, Laminar ๋ฐ k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ๊ณผ ํ•จ๊ป˜ ๋ชจ๋ธ์„ ๋ณด์ •ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋จ.
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ๋‹ค์–‘ํ•œ ์ˆ˜์‹ฌ์— ๋Œ€ํ•ด ์ข…๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์˜ ์ผ๋ฐ˜์ ์ธ ํ˜•ํƒœ๊ฐ€ ๋†’์€ ์ •ํ™•๋„๋กœ ์ง€์ˆ˜ ํ•จ์ˆ˜๋ฅผ ๋”ฐ๋ฅด๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚จ.
    • ๋˜ํ•œ, ์˜ค๋ฆฌํ”ผ์Šค์—์„œ ๋” ๋จผ ์ƒ๋ฅ˜์—์„œ ํšก๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์€ ๊ท ์ผํ•ด์ง.
    • ๊ฒฐ๊ตญ, ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ˆ˜์‹ฌ์ด 8๋ฐฐ ์ƒ์Šนํ•˜๋ฉด ํ•˜์ƒ์— ์ƒ์„ฑ๋˜๋Š” ์ „๋‹จ ์‘๋ ฅ์ด 148% ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  • ์ˆ˜์น˜ ๋ชจ๋ธ๋ง
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์œ ํ•œ ์ฒด์ ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ค‘๊ฐ„ Reynolds ์ˆ˜ ๋ฒ”์œ„ ๋‚ด์—์„œ Navier-Stokes ๋ฐฉ์ •์‹์„ ํ‘ธ๋Š” ์ƒ์šฉ CFD ์†Œํ”„ํŠธ์›จ์–ด์ธ FLOW-3D๋ฅผ ์‚ฌ์šฉํ•จ.
    • ์ด ์†Œํ”„ํŠธ์›จ์–ด๋Š” ์œ ํ•œ ์ฒด์  ๋ชจ๋“œ์—์„œ ํ๋ฆ„์žฅ์˜ 2D ๋ฐ 3D ๋ถ„์„์„ ๋ชจ๋‘ ํ—ˆ์šฉํ•จ.
    • ์ด ์†Œํ”„ํŠธ์›จ์–ด๋Š” ์ง๊ต 3D ์š”์†Œ๋ฅผ ์‚ฌ์šฉํ•จ.
    • ๋‹ค์–‘ํ•œ ์œ ์ฒด์— ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์„ ๊ณ ๋ คํ•  ๋•Œ, FLOW-3D๋Š” ํŠนํžˆ ์œ ์•• ๋ถ„์•ผ์—์„œ ํ—ˆ์šฉ ๊ฐ€๋Šฅํ•œ ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•จ.
    • ์‚ฌ์šฉ์ž ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•˜๊ณ  ์ตœ๊ทผ ๋””๋ฒ„๊น…์œผ๋กœ ์ธํ•ด ์†Œํ”„ํŠธ์›จ์–ด๋Š” ํ˜„์žฌ ๋‹ค์–‘ํ•œ ์œ ์ฒด ์—ญํ•™ ๋ถ„์•ผ, ํŠนํžˆ ๊ฐœ๋ฐฉ ์ˆ˜๋กœ ๋ฐ ์œ ์•• ๊ตฌ์กฐ๋ฌผ์˜ ์ˆ˜์—ญํ•™ ๋ถ„์•ผ์—์„œ ์ ์  ๋” ๋งŽ์ด ์‚ฌ์šฉ๋˜๊ณ  ์žˆ์Œ.
  • ์‹คํ—˜ ๋ชจ๋ธ
    • ๋ณธ ๋ชจ๋ธ์€ Bryant et al.(2008)์˜ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ณด์ •๋˜์—ˆ์Œ.
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ ์‹คํ—˜ํ•œ ํ”Œ๋ฃธ์€ ํญ 122cm, ๋†’์ด 91cm, ๊ธธ์ด 914cm์˜€์Œ (๊ทธ๋ฆผ 1).
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํŽŒํ”„ ์†๋„ ๋ณ€ํ™”์— ๋”ฐ๋ผ ์˜๋„๋œ ํ๋ฆ„์˜ ์œ ๋Ÿ‰์ด ๋‹ฌ๋ผ์ง.
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ง๊ฒฝ(D)์ด 7.62cm์™€ 15.24cm์ธ ๋‘ ๊ฐœ์˜ ์˜ค๋ฆฌํ”ผ์Šค๊ฐ€ ์‚ฌ์šฉ๋˜์—ˆ์Œ.
    • ์ธก๋ฒฝ์˜ ์˜ํ–ฅ์„ ์ œ๊ฑฐํ•˜๊ธฐ ์œ„ํ•ด ์ „์ฒด ์˜ค๋ฆฌํ”ผ์Šค์˜ ์ค‘์‹ฌ์ด ์ฑ„๋„ ํญ์˜ ์ค‘์•™์— ์œ„์น˜ํ•˜์˜€์Œ.
    • ๋˜ํ•œ, ์˜ค๋ฆฌํ”ผ์Šค ์ค‘์‹ฌ ์ƒ๋ฅ˜์˜ ์ˆ˜์‹ฌ(H)์€ 5.92cm๋กœ ๊ณ ์ •๋˜์—ˆ์Œ.
    • ํ๋ฆ„ ํŒจํ„ด์€ ยฑ1%์˜ ์ •ํ™•๋„๋ฅผ ๊ฐ€์ง„ ADV(Acoustic Doppler Velocity Meter)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ธก์ •๋˜์—ˆ์Œ.
  • ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ๋ฉ”์‹œ ์ƒ์„ฑ, ๊ฒฝ๊ณ„ ์กฐ๊ฑด ๋ฐ ๋ณด์ •
    • AutoCAD ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ฃผ์–ด์ง„ ์น˜์ˆ˜๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ”Œ๋ฃธ ํ˜•์ƒ์„ ์ƒ์„ฑํ•จ.
    • ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹œ๊ฐ„์„ ๋‹จ์ถ•ํ•˜๊ธฐ ์œ„ํ•ด ์†”๋ฃจ์…˜ ๋ฉ”์‹œ์˜ ํฌ๊ธฐ๋Š” ๊ธธ์ด 150cm, ํญ 122cm, ๋†’์ด 60cm๋กœ ์ œํ•œ๋˜์—ˆ์Œ.
    • ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ ์œ ์ฒด๋Š” ๋น„์••์ถ•์„ฑ์œผ๋กœ ๊ฐ„์ฃผ๋˜์—ˆ์Œ.
    • ๋ฉ”์‹œ๋Š” 0.01m์˜ ๊ท ์ผํ•œ ํฌ๊ธฐ๋ฅผ ๊ฐ€์กŒ์œผ๋ฉฐ, ๊ณ„์‚ฐ ์ •ํ™•๋„๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•ด ์˜ค๋ฆฌํ”ผ์Šค์— ์ธ์ ‘ํ•œ ๊ณณ์— ๋” ๋ฏธ์„ธํ•œ ๋ฉ”์‹œ๊ฐ€ ์‚ฌ์šฉ๋˜์—ˆ์Œ.
    • 30์ดˆ์˜ ๊ธฐ๊ฐ„์ด ๋ชจ๋ธ๋ง์— ํ• ๋‹น๋˜์—ˆ์œผ๋ฉฐ, ์ด๋Š” ์ˆ˜์น˜ ๋ชจ๋ธ ๊ฒฐ๊ณผ๋ฅผ ์‹คํ—˜ ๋ชจ๋ธ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•˜์—ฌ ์ ํ•ฉํ•œ ๊ฒƒ์œผ๋กœ ํŒ๋ช…๋จ.
    • ์ˆ˜์น˜ ๋ชจ๋ธ์€ ์ด ๊ธฐ๊ฐ„์— ์ •์ƒ ์ƒํƒœ๊ฐ€ ๋จ.
    • ๊ทธ๋ฆผ (2)๋Š” ์†Œํ”„ํŠธ์›จ์–ด์— ์˜ํ•ด ์ •์˜๋œ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์„ ๋ณด์—ฌ์คŒ.
    • ํ”Œ๋ฃธ ์ž…๊ตฌ์˜ ์ˆ˜์‹ฌ์€ 40.64cm๋กœ ๊ณ ์ •๋˜์—ˆ์Œ.
    • ์œ ์ถœ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์€ ์˜ค๋ฆฌํ”ผ์Šค์— ๋Œ€ํ•ด ์ •์˜๋˜์—ˆ๊ณ , ๋ฒฝ๊ณผ ๋ฐ”๋‹ฅ์€ ๊ฐ•์ฒด ๊ฒฝ๊ณ„(๋ฒฝ)๋ฅผ ๊ฐ€์กŒ์œผ๋ฉฐ, ๋Œ€์นญ ์กฐ๊ฑด์€ ์ƒ๋‹จ ๊ฒฝ๊ณ„์— ๋Œ€ํ•ด ์ •์˜๋˜์—ˆ์Œ.
    • ์ „๋‹จ ์‘๋ ฅ์„ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด ๋ฐ”๋‹ฅ์ด ์˜ค๋ฆฌํ”ผ์Šค ์•„๋ž˜์— ์œ„์น˜ํ•œ ๊ทธ๋ฆผ 2์™€ ๊ฐ™์ด ๋‹ค๋ฅธ ํ˜•์ƒ์ด ํ”Œ๋กฏ๋˜์—ˆ์Œ.
    • ํ‰๊ท  ์ ˆ๋Œ€ ์˜ค์ฐจ(MAE), ์ œ๊ณฑ ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE) ๋ฐ ๊ฒฐ์ • ๊ณ„์ˆ˜(R2)์˜ ํ†ต๊ณ„์  ๋งค๊ฐœ๋ณ€์ˆ˜๊ฐ€ ์ •ํ™•๋„๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ  ์ตœ์ ์˜ ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์„ ํƒํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋จ.

์—ฐ๊ตฌ ๊ฒฐ๊ณผ

  • ๋ชจ๋ธ ๋ณด์ •
    • ์•ž์„œ ์–ธ๊ธ‰ํ–ˆ๋“ฏ์ด Bryant et al.(2008)์˜ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ์„ ๋ณด์ •ํ•˜์˜€์Œ.
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ ์‚ฌ์šฉ๋œ ์นจ์ˆ˜๋น„๋Š” 0.77์ด์—ˆ์Œ.
    • ๊ทธ๋ฆผ (3)์€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ์ถ”์ •๋œ ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์‹คํ–‰๋œ ๋ชจ๋ธ์—์„œ ์–ป์€ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•œ ๊ฒƒ์ž„.
    • ๋˜ํ•œ, ํ‘œ (1)์€ ๊ฐ ๋ชจ๋ธ์˜ ์ •ํ™•๋„๋ฅผ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด ํ†ต๊ณ„ ๋ถ„์„์—์„œ ์–ป์€ ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•จ.
    • ์ด์— ๋”ฐ๋ผ ๋ชจ๋“  ๋‚œ๋ฅ˜ ๋ชจ๋ธ์€ ๊ฒฐ๊ณผ๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ํ•ฉ๋ฆฌ์ ์ธ ์ •ํ™•๋„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, LES ๋‚œ๋ฅ˜ ๋ชจ๋ธ์ด ์ƒ๋Œ€์ ์œผ๋กœ ๋” ๋†’์€ ์ •ํ™•๋„๋ฅผ ๊ฐ€์กŒ์Œ.
    • ๋”ฐ๋ผ์„œ ๋‹ค๋ฅธ ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜์—ˆ์Œ.
    • ๊ทธ๋ฆผ (3)์— ๋”ฐ๋ฅด๋ฉด Powell and Khan (2012)์ด ์ด๋ฏธ ๋ณด๊ณ ํ•œ ๋ฐ”์™€ ๊ฐ™์ด ์ƒ๋Œ€ ์†๋„๋Š” x/D>2์—์„œ 0์ด ๋˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ์Œ.
  • ์ข…๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ ๋ชจ๋ธ๋ง
    • ๋ชจ๋ธ์„ ๋ณด์ • ํ•œ ํ›„ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ˆ˜์‹ฌ์ด ์ข…๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ ํ˜•ํƒœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค๋ฅธ ์„ธ ๊ฐœ์˜ ์นจ์ˆ˜๋น„ (H/D = 0.5.2.4)๊ฐ€ ๋ชจ๋ธ์— ์ •์˜๋จ (Bryant et al.(2008)์—์„œ ์‚ฌ์šฉํ•œ ๊ฒƒ ์™ธ์— (H/D = 0.77)).
    • ๊ทธ๋ฆผ (4)๋Š” ๋‹ค์–‘ํ•œ ์นจ์ˆ˜๋น„์—์„œ ์ข…๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์„ ๋น„๊ตํ•œ ๊ฒƒ์ž„.
  • ํšก๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ ๋ชจ๋ธ๋ง
    • ์„ธ ๊ฐœ์˜ ์ƒ๋Œ€ ๊ฑฐ๋ฆฌ(x/D = 1.2.3)์—์„œ ์˜๋„๋œ ์นจ์ˆ˜๋น„์— ๋Œ€ํ•œ ํšก๋ฐฉํ–ฅ ์†๋„ ๋ชจ๋ธ๋ง์—์„œ ์–ป์€ ๊ฒฐ๊ณผ๋Š” ๊ทธ๋ฆผ (5)์— ๋‚˜์™€ ์žˆ์Œ.
    • ๊ทธ๋ฆผ์€ ์˜ค๋ฆฌํ”ผ์Šค์—์„œ ๋” ๋จผ ์ƒ๋ฅ˜์—์„œ ์†๋„ ๋ณ€ํ™”๊ฐ€ ๊ฐ์†Œํ•˜์—ฌ 0์ด ๋˜๋Š” ๊ฒฝํ–ฅ์„ ๋‚˜ํƒ€๋ƒ„.
    • ๋˜ํ•œ, ๊ฐ ์ƒ๋Œ€ ๊ฑฐ๋ฆฌ์— ๋Œ€ํ•ด ์ตœ๋Œ€ ์†๋„๋Š” ์˜ค๋ฆฌํ”ผ์Šค๋ฅผ ๋”ฐ๋ผ ์žˆ์—ˆ๊ณ , y-์ถ•์„ ๋”ฐ๋ผ ์˜ค๋ฆฌํ”ผ์Šค ์ค‘์‹ฌ์—์„œ ๊ฑฐ๋ฆฌ๊ฐ€ ๋ฉ€์–ด์ง์— ๋”ฐ๋ผ ์†๋„๊ฐ€ ๊ฐ์†Œํ•˜๊ณ  ํšก๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์ด ๊ท ์ผํ•ด์ง.
  • ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ „๋‹จ ์‘๋ ฅ ๋ถ„ํฌ
    • ๊ทธ๋ฆผ (6)์€ ์˜๋„๋œ ์นจ์ˆ˜๋น„์— ๋Œ€ํ•œ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ „๋‹จ ์‘๋ ฅ ๋ถ„ํฌ๋ฅผ ๋ณด์—ฌ์คŒ.
    • ๊ทธ๋ฆผ์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด, ์˜ค๋ฆฌํ”ผ์Šค์—์„œ ์œ ์ถœ๋˜๋Š” ์†๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜์—ฌ ๋ฐ”๋‹ฅ์—์„œ ๋” ๋†’์€ ์ „๋‹จ ์‘๋ ฅ์ด ๋ฐœ์ƒํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ฐ”๋‹ฅ์˜ ์ „๋‹จ ์‘๋ ฅ์€ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ๊นŠ์ด์™€ ํ•จ๊ป˜ ์ฆ๊ฐ€ํ•จ.
    • ๊ฒฐ๊ณผ์ ์œผ๋กœ ์นจ์ˆ˜๋น„๊ฐ€ 0.5์—์„œ 4๋กœ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ „๋‹จ ์‘๋ ฅ์€ 4.31Pa์—์„œ 10.7Pa๋กœ 148% ์ฆ๊ฐ€ํ•จ.
    • ๋˜ํ•œ, ๋” ๋†’์€ ์นจ์ˆ˜๋น„์—์„œ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ๋” ๋„“์€ ์˜์—ญ์ด ์ „๋‹จ ์‘๋ ฅ์˜ ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๊ฒƒ์œผ๋กœ ๊ด€์ฐฐ๋จ.
    • Powell and Khan (2011)์— ๋”ฐ๋ฅด๋ฉด ๋Œ ํ•˜๋ถ€ ๊ฒŒ์ดํŠธ๋ฅผ ์—ด๊ณ  ๊ฐ€์•• ํ”Œ๋Ÿฌ์‹ฑ์„ ์‹œ์ž‘ํ•˜๋ฉด ์ฒซ ๋ฒˆ์งธ ๋‹จ๊ณ„์—์„œ ํ‡ด์ ๋ฌผ์˜ ์ด๋™์€ ํ•˜์ƒ์— ํ˜•์„ฑ๋œ ์ „๋‹จ ์‘๋ ฅ์œผ๋กœ ์ธํ•ด ์‹œ์ž‘๋จ.
    • ๋”ฐ๋ผ์„œ ๋…ผ์˜๋œ ๋‚ด์šฉ์— ๋”ฐ๋ฅด๋ฉด ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์นจ์ˆ˜๋น„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉด ๋” ๋งŽ์€ ํ‡ด์ ๋ฌผ์ด ์ „๋‹จ ์‘๋ ฅ์— ์˜ํ•ด ์”ป๊ฒจ ๋‚ด๋ ค๊ฐ€ ๋ฌผ ํ๋ฆ„์— ์˜ํ•ด ๋ฐฐ์ถœ๋  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋จ.

๊ฒฐ๋ก 

  • ์—ฐ๊ตฌ์˜ ์˜์˜
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” FLOW-3D ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ํ๋ฆ„ ํŒจํ„ด์„ ์˜ˆ์ธกํ•˜๋Š” ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•จ.
    • ์ด์™€ ๊ด€๋ จํ•˜์—ฌ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ๋‹ค์–‘ํ•œ ์ˆ˜์‹ฌ์— ๋Œ€ํ•œ ๋ช‡ ๊ฐ€์ง€ ์‹œ๋‚˜๋ฆฌ์˜ค๊ฐ€ ๋ชจ๋ธ์— ์ •์˜๋˜์–ด ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ์Œ:
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋Š” ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ข…๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์„ ์ถฉ๋ถ„ํ•œ ์ •ํ™•๋„๋กœ ๋ชจ๋ธ๋งํ–ˆ์Œ.
    • Laminar, k-ฮต. ๋ฐ LES ๋‚œ๋ฅ˜ ๋ชจ๋ธ์€ ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ข…๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์„ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ ๊ฑฐ์˜ ๋™์ผํ•œ ์ •ํ™•๋„๋ฅผ ๊ฐ€์กŒ์Œ.
    • ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์ˆ˜์‹ฌ์ด ์ƒ์Šนํ•จ์— ๋”ฐ๋ผ ์ข…๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์˜ ์ผ๋ฐ˜์ ์ธ ํ˜•ํƒœ๋Š” ์ง€์ˆ˜ ๋ฐฉ์ •์‹์„ ๋”ฐ๋ฅด๋ฉฐ ์ผ์ •ํ•ด์กŒ์Œ.
    • ์˜ค๋ฆฌํ”ผ์Šค์—์„œ ๋” ๋จผ ๊ฑฐ๋ฆฌ์—์„œ ์†๋„ ๋ณ€ํ™”ํญ์ด ๊ฐ์†Œํ•˜๊ณ  ํšก๋ฐฉํ–ฅ ์†๋„ ํ”„๋กœํŒŒ์ผ์ด ๊ท ์ผํ•ด์ง.
    • ์˜ค๋ฆฌํ”ผ์Šค ์ƒ๋ฅ˜์˜ ์นจ์ˆ˜๋น„ ์ฆ๊ฐ€๋Š” ๋” ๋†’์€ ์ „๋‹จ ์‘๋ ฅ๊ณผ ๋” ๋„“์€ ๋ฉด์ ์˜ ํ•˜์ƒ์ด ์ „๋‹จ ์‘๋ ฅ์˜ ์˜ํ–ฅ์„ ๋ฐ›์Œ.
Fig. 6-Shear stress distribution upstream of the orifice for different depths
Fig. 6-Shear stress distribution upstream of the orifice for different depths

References

  1. Bryant, D.B., Khan, A.A. and Aziz, N.M., 2008. Investigation of flow upstream of orifices. Journal of Hydraulic Engineering, 134(1), pp.98-104.
  2. Chanson, H., Aoki, S.I. and Maruyama, M., 2002. Unsteady two-dimensional orifice flow: a large-size experimental investigation. Journal of Hydraulic Research, 40(1), pp.63-71.
  3. Chapokpour, J., Ghasemzadeh, F. and Farhoudi, J., 2012. The numerical investigation on vortex flow behavior using FLOW-3D. Iranica Journal of Energy & Environment, 3(1), pp.88-96.-
  4. Dargahi, B., 2010. Flow characteristics of bottom outlets with moving gates. Journal of Hydraulic Research, 48(4), pp.476-482.
  5. Powell, D.N. and Khan, A.A., 2011. Sediment transport mechanics upstream of an orifice. Journal of visualization, 14(4), pp.315-320.
  6. Powell, D.N. and Khan, A.A., 2012. Scour upstream of a circular orifice under constant head. Journal of hydraulic research, 50(1), pp.28-34..
  7. Powell, D.N. and Khan, A.A., 2015. Flow field upstream of an orifice under fixed bed and equilibrium scour conditions. Journal of Hydraulic Engineering, 141(2), p.04014076.
  8. Shahmirzadi, M.M., Dehghani, A.A., Meftahh, M. and Mosaedi, A., 2010. Experimental investigation of pressure flushing technique in reservoir storages. Water Geosci, 1, pp.132-137.
  9. Shammaa, Y., Zhu, D.Z. and Rajaratnam, N., 2009. Flow field in a rectangular basin with a line inlet and a circular outlet. Journal of Hydraulic Engineering, 135(10), pp.857-864.
  10. Wei G, Brethour J, Grรผnzner M, Burnham J. The sedimentation scour model in FLOW-3Dยฎ. Flow Sci. Rep. 2014 Jun:3-14.
Fig.5- View of a simulated congressional overflow

Studying the effect of shape changes in plan of labyrinth weir on increasing flow discharge coefficient using Flow-3D numerical model

๋ณธ ์†Œ๊ฐœ ์ž๋ฃŒ๋Š” Irrigation Sciences and Engineering (JISE)์—์„œ ๋ฐœํ–‰ํ•œ “Studying the effect of shape changes in plan of labyrinth weir on increasing flow discharge coefficient using Flow-3D numerical model” ๋…ผ๋ฌธ์˜ ์—ฐ๊ตฌ ๋‚ด์šฉ์„ ๋‹ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Fig.5- View of a simulated congressional overflow
Fig.5- View of a simulated congressional overflow

์„œ๋ก 

  • ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ
    • ์œ„์–ด๋Š” ์ˆ˜๋กœ ๋ฐ ํ•˜์ฒœ ํญ์— ๊ณ ์ •๋˜์–ด ์ˆ˜์œ„๋ฅผ ์ธก์ •, ์กฐ์ ˆ ๋ฐ ์ œ์–ดํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋Š” ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์ž„.
    • ๊ฐ€๋Šฅํ•œ ์ตœ๋Œ€ ํ™์ˆ˜ ์‚ฌ๊ฑด(PMF)์˜ ๊ทœ๋ชจ๊ฐ€ ์ปค์ง์— ๋”ฐ๋ผ ๋ฐฉ์ „ ์šฉ๋Ÿ‰ ์ฆ๊ฐ€์— ๋Œ€ํ•œ ์š”๊ตฌ๊ฐ€ ๊ฐ•์กฐ๋จ.
    • ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ์ ์šฉ์€ ๋ฐฉ์ „ ์šฉ๋Ÿ‰์„ ์ฆ๊ฐ€์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์†”๋ฃจ์…˜์œผ๋กœ ์ œ์•ˆ๋จ.
    • Tullis et al.(1995)์€ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ์šฉ๋Ÿ‰์„ ๊ฒฐ์ •ํ•˜๋Š” ํšจ๊ณผ์ ์ธ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ํ‰๊ฐ€ํ•จ.
    • ๊ทธ๋“ค์€ ์ด ์ˆ˜๋‘, ์œ ํšจ ์ •์  ๊ธธ์ด ๋ฐ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ฅผ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ์šฉ๋Ÿ‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ ๋„์ž…ํ•จ.
    • Khode et al.(2011)์€ 8ยฐ์—์„œ 30ยฐ๊นŒ์ง€์˜ ๋‹ค์–‘ํ•œ ์ธก๋ฒฝ ๊ฐ๋„(ฮฑ)์— ๋Œ€ํ•ด ํ๋ฆ„-์˜ค๋ฒ„ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์‹คํ—˜์ ์œผ๋กœ ์—ฐ๊ตฌํ•จ.
    • ๊ทธ๋“ค์€ ์ธก๋ฒฝ ๊ฐ๋„ ๊ฐ’์ด ์ปค์ง์— ๋”ฐ๋ผ ๋ฐฉ์ „ ๊ณ„์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๋ฐœ๊ฒฌํ•จ.
    • Crookston๊ณผ Tullis(2012a)๋Š” ํ‰๋ฉด์—์„œ ์œ„์–ด์˜ ๊ธฐํ•˜ํ•™์  ๋ชจ์–‘์„ ๋‹ค๋ฅด๊ฒŒ ํ•˜์—ฌ ๋‹ค์–‘ํ•œ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ์„ฑ๋Šฅ์„ ์—ฐ๊ตฌํ•จ.
    • ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ์•„์น˜ํ˜• ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ์šฉ๋Ÿ‰์ด ๋ง๊ตฝ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ์šฉ๋Ÿ‰๋ณด๋‹ค ํผ.
    • Seo et al.(2016)์€ ์œ„์–ด ๋ชจ์–‘์ด ์œ„์–ด ๋ฐฉ์ „์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•จ.
    • ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „๋Ÿ‰์€ ์„ ํ˜• ์˜ค์ง€ ์œ„์–ด์— ๋น„ํ•ด ์•ฝ 71% ์ฆ๊ฐ€ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚จ.
  • ์—ฐ๊ตฌ ๋ชฉํ‘œ
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด์ „ ์—ฐ๊ตฌ์ž๋“ค์˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ธก๋ฒฝ ๊ฐ๋„๊ฐ€ 6ยฐ์ธ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด๋ฅผ Flow-3D ๋ชจ๋ธ์„ ํ†ตํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•จ.
    • ๊ฒ€์ฆ ํ›„, ๊ฐ๋„๊ฐ€ 45ยฐ ๋ฐ 85ยฐ์ด๊ณ  ์ •์  ๋ชจ์–‘์ด ์‚ผ๊ฐํ˜• ๋ฐ ๋ฐ˜์›ํ˜•์ธ ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  • ์—ฐ๊ตฌ ์„ค๊ณ„
    • ๋‹ค์–‘ํ•œ ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ฅผ ํ‰๊ฐ€ํ•จ.
    • ๋ฐฉ์ •์‹ (1)์€ ์ด ๋ชฉ์ ์„ ์œ„ํ•ด ๊ฐ€์žฅ ์œ ํšจํ•œ ๋ฐฉ์ •์‹ ์ค‘ ํ•˜๋‚˜์ž„.
    • ์—ฌ๊ธฐ์„œ Cd(a)โ€‹ = ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜, Q = ์œ„์–ด ๋ฐฉ์ „, Lcโ€‹ = ์œ„์–ด์˜ ์ด ๊ธธ์ด, HTโ€‹ = ์ด ์ƒ๋ฅ˜ ํ—ค๋“œ(๋น„์ž ์ˆ˜) ๋ฐ g๋Š” ์ค‘๋ ฅ์œผ๋กœ ์ธํ•œ ๊ฐ€์†๋„(m2/s)์ž„.
    • ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด ์กฐ์‚ฌ๋ฅผ ์œ„ํ•œ ์ตœ์ƒ์˜ ๋ฉ”์‹œ๋ฅผ ์„ ํƒํ•˜๊ธฐ ์œ„ํ•ด ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์˜ ๋ฉ”์‹œ๊ฐ€ ์‚ฌ์šฉ๋จ.
    • 564000 ๋ฐ 437000์˜ ๋ฉ”์‹œ ์ˆ˜๊ฐ€ ์ตœ์ ์˜ ๋ฉ”์‹œ ์„ ํƒ์„ ์œ„ํ•ด ํ‰๊ฐ€๋จ.
    • ๋ฉ”์‹œ ๋ฒˆํ˜ธ 1์—์„œ ์…€ ํฌ๊ธฐ๋Š” ๊ตฌ์กฐ ๊ทผ์ฒ˜์˜ ๋ฉ”์‹œ ๋ฒˆํ˜ธ 2์˜ ์…€ ํฌ๊ธฐ๋ณด๋‹ค ์ž‘์Œ.
    • ๋”ฐ๋ผ์„œ ๋ฉ”์‹œ 1์€ ๋ชจ๋ธ๋ง ์ •ํ™•๋„๋ฅผ ๋†’์ž„.
  • ์ˆ˜์น˜ ๋ชจ๋ธ๋ง
    • Crookston๊ณผ Tullis(2012b)์˜ ์—ฐ๊ตฌ์—์„œ ์‹คํ—˜ Cd(aฮฑ)โ€‹ ๋ฐ์ดํ„ฐ๊ฐ€ ์ œ์‹œ๋จ.
    • ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” 3๊ฐœ์˜ ๋‚œ๋ฅ˜ ๋ชจ๋ธ(k-ฮต, RNG k-ฮต ๋ฐ LES ๋ชจ๋ธ)์„ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜์น˜ Cd(aโˆ˜)โ€‹๋ฅผ ์ˆ˜ํ–‰ํ•จ.
    • ์ตœ๋Œ€ ์ƒ๊ด€ ๊ณ„์ˆ˜(H T /p ๋ฌด์ฐจ์› ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ๊ฒฝ์šฐ 0.9875)๋Š” RNG k-ฮต๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์–ป์Œ.
    • ์ด ์ง€์ˆ˜์˜ ๊ฐ’์€ 1์— ๊ฐ€๊นŒ์šฐ๋ฉฐ ๋ชจ๋ธ์ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ์ ํ•ฉํ•จ์„ ๋ณด์—ฌ์คŒ.
    • ์ด ์—ฐ๊ตฌ์˜ ์ด์ „ ๊ฒฐ๊ณผ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ RNG ๋ชจ๋ธ์„ ์ ํ•ฉํ•œ ๋ชจ๋ธ๋กœ ๊ฐ„์ฃผํ•˜์—ฌ ๊ฐ๋„๊ฐ€ 6ยฐ, 45ยฐ ๋ฐ 85ยฐ์ธ ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜ ๋ณ€ํ™”๋ฅผ ํ‰๊ฐ€ํ•จ.

์—ฐ๊ตฌ ๊ฒฐ๊ณผ

  • ๊ฒฐ๊ณผ ๋ถ„์„
    • ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ์ธก๋ฒฝ ๊ฐ๋„ ๊ฐ’์ด ์ปค์ง์— ๋”ฐ๋ผ ๋ฐฉ์ „ ๊ณ„์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•จ.
    • ๊ฐ๋„๊ฐ€ 85ยฐ ๋ฐ 45ยฐ์ธ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋Š” ๊ฐ๋„๊ฐ€ 6ยฐ์ธ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ณด๋‹ค ํ‰๊ท  2.28 ๋ฐ 1.24๋ฐฐ ํผ.
    • ๋˜ ๋‹ค๋ฅธ ์ฃผ๋ชฉํ•  ์ ์€ ๋ฐฉ์ „ ์šฉ๋Ÿ‰์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๋ฐฉ์ „ ๊ณ„์ˆ˜๊ฐ€ ๊ฐ์†Œํ•œ๋‹ค๋Š” ๊ฒƒ์ž„.
    • ๋ฐฉ์ „๋Ÿ‰์ด 32.8๋ฐฐ ์ฆ๊ฐ€ํ•˜๋ฉด ๊ฐ๋„๊ฐ€ 6ยฐ, 45ยฐ ๋ฐ 85ยฐ์ธ ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๊ฐ€ ๊ฐ๊ฐ 57.2%, 47.4% ๋ฐ 7.8% ๊ฐ์†Œํ•จ.
    • ๋‹ค์Œ ๋‹จ๊ณ„์—์„œ๋Š” ์„ ํ˜•, ์‚ผ๊ฐํ˜• ๋ฐ ๋ฐ˜์›ํ˜•์˜ ์ •์  ๋ชจ์–‘์„ ๊ฐ€์ง„ ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•จ.
    • ์‚ผ๊ฐํ˜• ๋ฐ ๋ฐ˜์›ํ˜• ์ •์  ๋ชจ์–‘์˜ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด๊ฐ€ ๊ฐ€์žฅ ํฐ ๋ฐฉ์ „ ๊ณ„์ˆ˜ ๊ฐ’์„ ๊ฐ€์ง.
    • ์‚ผ๊ฐํ˜• ๋ฐ ๋ฐ˜์›ํ˜• ์ •์  ๋ชจ์–‘์˜ ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋Š” ์„ ํ˜• ์ •์ ์— ๋น„ํ•ด 50.29% ๋ฐ 4.15% ์ฆ๊ฐ€ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚จ.
  • ๋ฐฉ์ •์‹
    • ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋ฐฉ์ •์‹ (2)์— ์ •์˜๋œ ๋Œ€๋กœ ๋‹ค์–‘ํ•œ ์ธก๋ฒฝ ๊ฐ๋„๋ฅผ ๊ฐ€์ง„ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ฅผ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์ •์‹์„ ์ œ์‹œํ•จ.
    • ์ด ๋ฐฉ์ •์‹์˜ ์ •ํ™•๋„๋ฅผ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•œ MAE, RMSE ๋ฐ R 2 ๊ฐ’์€ ๊ฐ๊ฐ 0.0407, 0.0496 ๋ฐ 0.9122์ด๋ฉฐ, ์ด๋Š” ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๋ฐ ์ด ๋ฐฉ์ •์‹์˜ ์ •ํ™•๋„๋ฅผ ๋ณด์—ฌ์คŒ.
    • Cdโ€‹=0.201(eโˆ’0.4904(HTโ€‹/P))(0.00038ฮธ2+2.3735)

๊ฒฐ๋ก 

  • ์—ฐ๊ตฌ์˜ ์˜์˜
    • ์—”์ง€๋‹ˆ์–ด๋“ค์€ ํ™์ˆ˜ ์กฐ์ ˆ ๋ฐ ์šดํ•˜์™€ ํ•˜์ฒœ์˜ ๋ฐฉ์ „ ์šฉ๋Ÿ‰ ์ฆ๊ฐ€๋ฅผ ์œ„ํ•œ ์†”๋ฃจ์…˜์„ ์ฐพ๊ณ  ์žˆ์Œ.
    • ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ์ ์šฉ์€ ๋ฐฉ์ „ ์šฉ๋Ÿ‰์„ ์ฆ๊ฐ€์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์†”๋ฃจ์…˜์œผ๋กœ ์ œ์•ˆ๋จ.
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด์ „ ์—ฐ๊ตฌ์ž๋“ค์˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ธก๋ฒฝ ๊ฐ๋„๊ฐ€ 6ยฐ์ธ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด๋ฅผ Flow-3D ๋ชจ๋ธ์„ ํ†ตํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•จ.
    • ๊ฒ€์ฆ ํ›„, ๊ฐ๋„๊ฐ€ 45ยฐ ๋ฐ 85ยฐ์ด๊ณ  ์ •์  ๋ชจ์–‘์ด ์‚ผ๊ฐํ˜• ๋ฐ ๋ฐ˜์›ํ˜•์ธ ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•จ.
  • ์ตœ์ ์˜ ์œ„์–ด ์„ค๊ณ„
    • ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ๊ฐ๋„๊ฐ€ 85ยฐ ๋ฐ 45ยฐ์ธ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋Š” ๊ฐ๋„๊ฐ€ 6ยฐ์ธ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ณด๋‹ค ํผ.
    • ๋˜ํ•œ ์‚ผ๊ฐํ˜• ๋ฐ ๋ฐ˜์›ํ˜• ์ •์  ๋ชจ์–‘์˜ ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋Š” ์„ ํ˜• ์ •์ ์— ๋น„ํ•ด 50.29% ๋ฐ 4.15% ์ฆ๊ฐ€ํ•จ.
    • ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ž˜๋ฒ„๋ฆฐ์Šค ์œ„์–ด์˜ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ฅผ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์ •์‹์„ ์ œ์•ˆํ–ˆ์œผ๋ฉฐ, ์ด๋Š” ํ—ˆ์šฉ ๊ฐ€๋Šฅํ•œ ์ˆ˜์ค€์˜ ์ •ํ™•๋„๋กœ ๋ฐฉ์ „ ๊ณ„์ˆ˜๋ฅผ ์ถ”์ •ํ•  ์ˆ˜ ์žˆ์Œ.
Fig.3- Plan of geometric parameters of
congressional overflow
Fig.3- Plan of geometric parameters of congressional overflow
Fig. 4- The boundary conditions of the congressional overflow model
Fig. 4- The boundary conditions of the congressional overflow model
Fig.5- View of a simulated congressional overflow
Fig.5- View of a simulated congressional overflow

References

  1. Crookston, B. M. and Tullis, B. P., 2012a. Arced labyrinth weirs. Journal of Hydraulic Engineering. 138(6), pp.555-562.
  2. Crookston, B. M. and Tullis, B. P., 2012b, Hydraulic design and analysis of labyrinth weirs. I: Discharge relationships. Journal of Irrigation and Drainage Engineering. 139(5), pp.363-370.
  3. Khode, B. V., Tembhurkar, A. R., Porey, P. D. and Ingle, R. N., 2011. Experimental studies on flow over labyrinth weir. Journal of Irrigation and Drainage Engineering. 138(6), pp.548-552.
  4. Seo, I. W., Do Kim, Y., Park, Y. S. and Song, C. G. 2016, Spillway discharges by modification of weir shapes and overflow surroundings. Environmental Earth Sciences. 75(6), pp.1-13.
  5. Tullis, J. P., Amanian, N. and Waldron, D., 1995. Design of labyrinth spillways. Journal of Hydraulic Engineering. 121(3), pp.247-255.
  6. Farzin, S., Karami, H. and Zamiri, E., 2016. Study of the Flow over Rubber Dam Using Computational Hydrodynamics. Journal of Dam and Hydroelectric Powerplant. 3(9), pp.1-11. (In Persian).
  7. Hirt, C. W. and Richardson, J. E., 1999. The modeling of shallow flows, Flow Science, Technical Notes. 48, pp.1-14.
  8. Hosseini, K., Tajnesaie, M. and Jafari Nodoush, E., 2015. Optimization of the Geometry of Triangular Labyrinth Spillways, Using Fuzzyโ€Neural System and Differential Evolution Algorithm. Journal of Civil and Environmental Engineering. 45(1), PP.81-91. (In Persian).
  9. Khode, B. V., Tembhurkar, A. R., Porey, P. D. and Ingle, R. N., 2011. Experimental studies on flow over labyrinth weir. Journal of Irrigation and Drainage Engineering. 138(6), pp.548-552.
  10. Nezami, F., Farsadizadeh, D., Hosseinzadeh Delir, A. and Salmasi, F., 2012. Experimental Study of Discharge Coefficient of Trapezoidal Labyrinth Side-Weirs. Journal of Water and Soil Science. 23(1), PP.247-257. (In Persian).
  11. Nikpiek, P. and Kashefipour, S. M., 2014. Effect of the hydraulic conditions and structure geometry on mathematical modelling of discharge coefficient for duckbill and oblique weirs. Journal of Irrigation Science and Engineering. 39(1), pp.1-10. (In Persian).
  12. Noori, B. M. and Aaref, N. T., 2017. Hydraulic Performance of Circular Crested Triangular Plan Form Weirs. Arabian Journal for Science and Engineering. pp.1-10.
  13. Noruzi, S. and Ahadiyan, J., 2016. Effect of Vortex Breaker Blades 45 Degree on Discharge Coefficient of Morning Glory Spillway Using Flow-3D. Journal of Irrigation Science and Engineering. 39(4), PP. 47-58. (In Persian).
  14. Paxson, G. and Savage, B., 2006. Labyrinth spillways: comparison of two popular USA design methods and consideration of non-standard approach conditions and geometries. Proceedings of the international junior researcher and engineer workshop on hydraulic structures, Montemor-o-Novo, Portugal, Division of Civil Engineering, 37.
  15. Payri, R., Tormos, B., Gimeno, J. and Bracho, G., 2010. The potential of Large Eddy Simulation (LES) code for the modeling of flow in diesel injectors. Mathematical and Computer Modelling. 52(7), pp.1151-1160.
  16. Rezaee, M., Emadi, A. and Aqajani Mazandarani, Q., 2016. Experimental Study of Rectangular Labyrinth Weir. Journal of Water and Soil. 29(6), pp. 1438-1446. (In Persian).
  17. Seo, I. W., Do Kim, Y., Park, Y. S. and Song, C. G. 2016, Spillway discharges by modification of weir shapes and overflow surroundings. Environmental Earth Sciences. 75(6), pp.1-13.
  18. Suprapto, M., 2013. Increase spillway capacity using Labyrinth Weir. Procedia Engineering. 54, pp. 440-446.
  19. Tullis, J. P., Amanian, N. and Waldron, D., 1995. Design of labyrinth spillways. Journal of Hydraulic Engineering. 121(3), pp.247-255.
  20. Zamiri, E., Karami, H. and Farzin, S., 2016. Numerical Study of Labyrinth Weir Using RNG Turbulence Model. 15th Iranian Hydraulic Conference, Imam Khomeini International University, Qazvin, Iran. (In Persian).
Fig. 3 Vane V0 induced circulation downstream of vane (x = 65.5 cm), flow Froude number of Fr = 0.16

Performance Evaluation of Submerged Vanes by Flow-3D Numerical Model

๋ณธ ์†Œ๊ฐœ ์ž๋ฃŒ๋Š” Iranian Hydraulic Association Journal of Hydraulics์—์„œ ๋ฐœํ–‰ํ•œ “Performance Evaluation of Submerged Vanes by Flow-3D Numerical Model” ๋…ผ๋ฌธ์˜ ์—ฐ๊ตฌ ๋‚ด์šฉ์„ ๋‹ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Fig. 3 Vane V0 induced circulation downstream of vane
(x = 65.5 cm), flow Froude number of Fr = 0.16
Fig. 3 Vane V0 induced circulation downstream of vane (x = 65.5 cm), flow Froude number of Fr = 0.16

์„œ๋ก 

  • ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ
    • ์ž ์ˆ˜ ๋ฒ ์ธ์€ ์ ‘๊ทผ ํ๋ฆ„์— ๋Œ€ํ•ด ์ž‘์€ ๋ฐ›์Œ๊ฐ์œผ๋กœ ์ˆ˜๋กœ ๋ฐ”๋‹ฅ์— ์ˆ˜์ง์œผ๋กœ ์žฅ์ฐฉ๋˜๋Š” ํ๋ฆ„ ํŒจํ„ด ๋ณ€๊ฒฝ ๊ตฌ์กฐ๋ฌผ์ž„.
    • ์ž ์ˆ˜ ๋ฒ ์ธ์€ ๋ฒ ์ธ์˜ ๋‘ ์ธก๋ฉด์— ์žˆ๋Š” ์ˆ˜์ง ์••๋ ฅ ๊ตฌ๋ฐฐ๋กœ ์ธํ•ด ๋ฒ ์ธ์˜ ์ƒ๋‹จ ๋†’์ด ์•„๋ž˜์—์„œ ์‹œ์ž‘ํ•˜์—ฌ ๋ฒ ์ธ์˜ ํ•˜๋ฅ˜๋กœ ํ™•์žฅ๋˜๋Š” 2์ฐจ ์ˆœํ™˜(๋‚˜์„ ํ˜• ํ๋ฆ„)์„ ์ƒ์„ฑํ•จ.
    • ๋ฒ ์ธ์œผ๋กœ ์œ ๋„๋œ ์™€๋ฅ˜๋Š” ์ฑ„๋„ ๋‹จ๋ฉด ๋‚ด์—์„œ ํ‡ด์ ๋ฌผ์„ ์žฌ๋ถ„๋ฐฐํ•˜๊ณ  ์ถฉ์ ์ธต์˜ ํ”„๋กœํŒŒ์ผ์„ ๋ณ€๊ฒฝํ•จ.
    • ๊ทธ๋Ÿฌ๋‚˜ ๋ฒ ์ธ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€์ ์ธ ์„ธ๊ตด์€ ์ž ์ˆ˜ ๋ฒ ์ธ ๊ธฐ์ˆ  ์‚ฌ์šฉ์˜ ๋ฌธ์ œ์  ์ค‘ ํ•˜๋‚˜์ž„.
    • ๊ตญ๋ถ€์ ์ธ ์„ธ๊ตด๊ณต์˜ ํ™•์žฅ์€ ๋ฒ ์ธ์˜ ๋ชจ์–‘๊ณผ ๊ด€๋ จ์ด ์žˆ์Œ.
  • ์—ฐ๊ตฌ ๋ชฉํ‘œ
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” 1์ฐจ ์ž ์ˆ˜ ๋ฒ ์ธ์€ ์ผ๋ฐ˜์ ์œผ๋กœ ํ‰ํ‰ํ•œ ์ง์‚ฌ๊ฐํ˜• ํŒ์„ ์‚ฌ์šฉํ•จ.
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ตญ๋ถ€์ ์ธ ์„ธ๊ตด์„ ์ค„์ด๊ธฐ ์œ„ํ•œ ๋Œ€์ฑ…์œผ๋กœ ๋ฒ ์ธ์˜ ์•ž์ชฝ ๊ฐ€์žฅ์ž๋ฆฌ ์ผ๋ถ€๋ฅผ ์ž˜๋ผ๋‚ด๋Š” ๊ฒƒ์„ ์—ฐ๊ตฌํ•จ.
    • ์—ฐ๊ตฌ ๋Œ€์ƒ ๋ฒ ์ธ์€ ์ง์‚ฌ๊ฐํ˜• ๋ฒ ์ธ(๊ธฐ์ค€์„  ๋ฒ ์ธ)๊ณผ ฮธ=30โˆ˜, 45โˆ˜, 60โˆ˜ 70โˆ˜ ๋ฐ 73.3โˆ˜์˜ ํ…Œ์ดํผํ˜• ์•ž์ชฝ ๊ฐ€์žฅ์ž๋ฆฌ๋ฅผ ๊ฐ–๋Š” ๋‹ค๋ฅธ 5๊ฐœ์˜ ์ˆ˜์ •๋œ ๋ฒ ์ธ์„ ํฌํ•จํ•จ.
    • ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ์ˆ˜์ •์ด ์•ž์ชฝ ๊ฐ€์žฅ์ž๋ฆฌ์—์„œ์˜ ์ˆ˜์ง ์†๋„ ์„ฑ๋ถ„๊ณผ ๋ฒ ์ธ ํ•˜๋ฅ˜์—์„œ 2์ฐจ ์ˆœํ™˜์˜ ๊ฐ•๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•จ.
    • ๋ฒ ์ธ ์ฃผ๋ณ€์˜ ํ๋ฆ„์žฅ์„ ์—ฐ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด Flow-3D ์ˆ˜์น˜ ๋ชจ๋ธ ๋ฒ„์ „ 10์„ ์‚ฌ์šฉํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  • ์—ฐ๊ตฌ ์„ค๊ณ„
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒ์šฉ CFD ๋ชจ๋ธ์ธ Flow-3D๋ฅผ ์‚ฌ์šฉํ•จ.
    • ๋ชจ๋ธ ๋ณด์ •์„ ์œ„ํ•ด ์‹คํ—˜ ์†๋„ ์ธก์ •์„ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ์œ„ํ•ด ์žฌ์ˆœํ™˜ ์ˆ˜๋กœ(๊ธธ์ด 7.30m, ํญ 0.56m, ๊นŠ์ด 0.6m)๋ฅผ ์‚ฌ์šฉํ•จ.
    • ์›์‹ฌ ํŽŒํ”„๋Š” ํ”Œ๋ฃธ ์ž…๊ตฌ์˜ ์ •์ˆ˜ ํƒฑํฌ๋กœ ๋ฌผ์„ ๋ฐฐ์ถœํ•จ.
    • ๊ท ์ผํ•œ ๋ฌผ ์œ ์ž…์„ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ํ”Œ๋ฃธ ์ž…๊ตฌ์—์„œ 1m ๋–จ์–ด์ง„ ๊ณณ์— ์Šคํฌ๋ฆฐ์„ ์„ค์น˜ํ•จ.
    • ํ…Œ์ผ ๊ฒŒ์ดํŠธ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ”Œ๋ฃธ์˜ ๋ฌผ ๊นŠ์ด(doโ€‹)๋ฅผ 0.25m์˜ ์ผ์ •ํ•œ ๊ฐ’์œผ๋กœ ์กฐ์ •ํ•จ.
    • ๋ฒ ์ธ์˜ ์น˜์ˆ˜๋Š” Odgaard (2008)์˜ ์„ค๊ณ„ ๊ธฐ์ค€, ์ฆ‰ ๋ฒ ์ธ ๋†’์ด ๋Œ€ ๋ฌผ ๊นŠ์ด ๋น„์œจ Hoโ€‹/doโ€‹ = 0.3, ๊ธธ์ด L = 3$H_o$๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฒฐ์ •ํ•จ.
    • ํ‰๊ท  ํ๋ฆ„ ๊นŠ์ด doโ€‹ = 0.25m๋Š” Hoโ€‹ = 0.075m ๋ฐ L = 0.25m๋ฅผ ์‚ฐ์ถœํ•จ.
    • ํ๋ฆ„ ํ”„๋ฃจ๋“œ ์ˆ˜ Fr = 0.16์—์„œ ๋ฒ ์ธ V0 ๋ฐ V3์„ ์‚ฌ์šฉํ•˜์—ฌ ์†๋„ ์ธก์ •์„ ์ˆ˜ํ–‰ํ•จ.
    • ๊ฐ ํ…Œ์ŠคํŠธ์—์„œ ๋ฒ ์ธ์€ ํ๋ฆ„์— ๋Œ€ํ•ด 20ยฐ์˜ ๊ฐ๋„๋กœ ํ”Œ๋ฃธ์˜ ์ค‘์‹ฌ์„ ์— ์„ค์น˜๋จ.
    • ๋ฒ ์ธ์œผ๋กœ ์œ ๋„๋œ ์†๋„์žฅ์„ ์—ฐ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ํ”Œ๋ฃธ ์ „์ฒด์—์„œ 4×4 cmยฒ ๊ฒฉ์ž๋ฅผ ๋ฒ ์ธ์˜ ์ค‘์‹ฌ์—์„œ ์ฑ„์ทจํ•จ.
    • ๊ฐ ๊ฒฉ์ž์ ์—์„œ ์ „์ž๊ธฐ ์œ ์†๊ณ„(EVM)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ 3์ฐจ์› ์†๋„ ๋ฒกํ„ฐ(u, v, w)์˜ ์„ฑ๋ถ„์„ ์ธก์ •ํ•จ.
    • ํ”Œ๋ฃธ์˜ ๋ฒฝ์— ๋งค์šฐ ๊ฐ€๊นŒ์šด ์†๋„๋Š” ์ธก์ •ํ•˜์ง€ ์•Š์Œ.
  • ์ˆ˜์น˜ ๋ชจ๋ธ๋ง
    • ๋ฒ ์ธ์˜ ๊ณ ์•• ์ธก๋ฉด์—์„œ ์ˆ˜์ง ์†๋„ ์„ฑ๋ถ„์€ ์œ„์ชฝ(์–‘์ˆ˜)์ด์—ˆ๊ณ  ์ €์•• ์ธก๋ฉด์—์„œ๋Š” ์•„๋ž˜์ชฝ(์Œ์ˆ˜)์ด์—ˆ์Œ.
    • ๋”ฐ๋ผ์„œ ๋ฒ ์ธ ํ•˜๋ฅ˜์—์„œ ์‹œ๊ณ„ ๋ฐฉํ–ฅ์˜ 2์ฐจ ์ˆœํ™˜์ด ์ƒ์„ฑ๋จ.
    • 1์ฐจ ์ง์‚ฌ๊ฐํ˜• ๋ฒ ์ธ(๋ฒ ์ธ V0)์˜ ์•ž์ชฝ ๊ฐ€์žฅ์ž๋ฆฌ์—์„œ ์•„๋ž˜์ชฝ ์†๋„ ์„ฑ๋ถ„์ด ๋ถ„๋ช…ํ–ˆ์Œ.
    • ํ…Œ์ดํผํ˜• ๋ฒ ์ธ V1 ๋ฐ V2์˜ ๊ฒฝ์šฐ ๋ฒ ์ธ V0์—์„œ ์•ž์ชฝ ๊ฐ€์žฅ์ž๋ฆฌ ๋ถ€๋ถ„์„ ์ž˜๋ผ๋ƒ„์œผ๋กœ์จ ์Œ์˜ w-์†๋„ ์„ฑ๋ถ„์˜ ํฌ๊ธฐ๊ฐ€ ๊ฐ๊ฐ 40% ๋ฐ 69% ๊ฐ์†Œํ•จ.
    • ๋ฒ ์ธ V3, V4 ๋ฐ V5์˜ ๊ฒฝ์šฐ ํ…Œ์ดํผ ๊ฐ๋„๋ฅผ ๋Š˜๋ฆฌ๋ฉด ์•„๋ž˜์ชฝ ์†๋„ ์„ฑ๋ถ„์ด ํšจ๊ณผ์ ์œผ๋กœ ๊ฐ์†Œํ•จ.
    • ๋ชจ๋ฉ˜ํŠธ(MOM) ์ˆ˜๋Ÿ‰์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฒ ์ธ์œผ๋กœ ์œ ๋„๋œ ์ˆœํ™˜์˜ ๊ฐ•๋„๋ฅผ ํ‰๊ฐ€ํ•จ.
    • ๋ฒ ์ธ์˜ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด MOM ๊ฐ’์„ ์ ์šฉํ•จ.
    • ์ด๋ฅผ ์œ„ํ•ด ๋ฒ ์ธ ์ค‘์‹ฌ์—์„œ ํ•˜๋ฅ˜๋กœ 2Ho ๋ฐ 4Ho ๊ฑฐ๋ฆฌ, ์ฆ‰ 15cm ๋ฐ 30cm ๋–จ์–ด์ง„ ๋‘ ๋‹จ๋ฉด์—์„œ ์†๋„ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•จ.
    • MOM ๊ณ„์‚ฐ์—๋Š” 100๊ฐœ์˜ ์†๋„ ์„ฑ๋ถ„(50๊ฐœ์˜ v-์„ฑ๋ถ„ ๋ฐ 50๊ฐœ์˜ w-์„ฑ๋ถ„)์„ ์‚ฌ์šฉํ•จ.
    • ๋”ฐ๋ผ์„œ ์ด ์ˆ˜๋Ÿ‰์€ ์ž ์ˆ˜ ๋ฒ ์ธ์˜ ์„ฑ๋Šฅ ๋ฐ ํšจ์œจ์„ฑ์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ ์œ ์šฉํ•œ ๊ธฐ์ค€์ด ๋จ.

์—ฐ๊ตฌ ๊ฒฐ๊ณผ

  • ์„ธ๊ตด ๋งค๊ฐœ๋ณ€์ˆ˜
    • ๋ฒ ์ธ์˜ ์†๋„ ๋ถ„ํฌ ๋ฐ ๋ชจ๋ฉ˜ํŠธ(MOM)๋Š” ํ…Œ์ดํผํ˜• ๋ฒ ์ธ์˜ ์•ž์ชฝ ๊ฐ€์žฅ์ž๋ฆฌ์—์„œ ์นจ์‹์„ฑ ์Œ์˜ ์†๋„ ์„ฑ๋ถ„์˜ ๊ฐ์†Œ๋ฅผ ๋‚˜ํƒ€๋ƒ„.
    • MOM ๊ฐ’์„ ๊ธฐ์ค€์œผ๋กœ ๋ฒ ์ธ์˜ ์•ž์ชฝ ๊ฐ€์žฅ์ž๋ฆฌ๋ฅผ ์ž˜๋ผ๋‚ด๋ฉด ์„ฑ๋Šฅ์ด ์ €ํ•˜๋จ.
    • ๋‹ค์‹œ ๋งํ•ด, ์ด๋Ÿฌํ•œ ์ˆ˜์ •์€ ์ง์‚ฌ๊ฐํ˜• ๋ฒ ์ธ(๋ฒ ์ธ V0)์— ๋น„ํ•ด ํ…Œ์ดํผํ˜• ๋ฒ ์ธ์˜ ์˜ํ–ฅ์„ ๋ฐ›๋Š” ํ•„๋“œ๋ฅผ ์ œํ•œํ•จ.
    • ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ์ง์‚ฌ๊ฐํ˜• ๋ฒ ์ธ์— ๋น„ํ•ด ํ…Œ์ดํผํ˜• ๋ฒ ์ธ(V1~V5)์˜ ์„ฑ๋Šฅ์€ (2Ho ๊ฑฐ๋ฆฌ์—์„œ) ๊ฐ๊ฐ 5.8%, 7.3%, 17.8%, 33% ๋ฐ 42.6% ๊ฐ์†Œํ•จ.
    • 4Ho ๊ฑฐ๋ฆฌ์—์„œ ๊ฐ์†Œ๋Ÿ‰์€ ๊ฐ๊ฐ 7.4%, 11.9%, 17%, 25.5% ๋ฐ 34.3%์ž„.
  • ๊ฒฐ๊ณผ ๋ถ„์„
    • ์ด์™€๋Š” ๋ฐ˜๋Œ€๋กœ ํ…Œ์ดํผํ˜• ๋ฒ ์ธ์˜ ํšจ์œจ์„ฑ์€ ์ฆ๊ฐ€ํ•จ.
    • ๋ฒ ์ธ V1~V5์˜ ์ค‘์‹ฌ์—์„œ 2Ho ๊ฑฐ๋ฆฌ์—์„œ ์ฆ๊ฐ€๋Ÿ‰์€ ๊ฐ๊ฐ 3.2%, 9%, 11%, 14% ๋ฐ 14.8%์ด๊ณ  4Ho ๊ฑฐ๋ฆฌ์—์„œ๋Š” ๊ฐ๊ฐ 1.4%, 3.6%, 12.1%, 26.7% ๋ฐ 31.3%์ž„.
    • ๋”ฐ๋ผ์„œ ํ…Œ์ดํผํ˜• ๋ฒ ์ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ตญ๋ถ€์ ์ธ ์„ธ๊ตด์„ ์ค„์ด๋Š” ๊ฒฝ์šฐ ์„ค๊ณ„ ๊ธฐ์ค€์— ๋”ฐ๋ผ ๋ฒ ์ธ ๋ฐฐ์—ด ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ(dsโ€‹)์— ํฐ ๊ฐ’์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์€ ๊ถŒ์žฅํ•˜์ง€ ์•Š์Œ.

๊ฒฐ๋ก 

  • ์—ฐ๊ตฌ์˜ ์˜์˜
    • ์†๋„ ๋ถ„ํฌ ๋ฐ ๋ฒ ์ธ์˜ ๋ชจ๋ฉ˜ํ…€ ๋ชจ๋ฉ˜ํŠธ(MOM) ๊ณ„์‚ฐ ๊ฒฐ๊ณผ, ๋ฒ ์ธ์˜ ์„ ํ–‰ ์—์ง€์—์„œ ์ ˆ๋‹จ์ด ์„ ํ–‰ ์—์ง€์—์„œ ์Œ์˜ ์†๋„ ์„ฑ๋ถ„์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ๋ฐ ํšจ๊ณผ์ ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Œ.
    • ๋ชจ๋ฉ˜ํ…€ ๋ชจ๋ฉ˜ํŠธ ๊ณ„์‚ฐ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ฒ ์ธ์˜ ์„ ํ–‰ ์—์ง€๋ฅผ ์ ˆ๋‹จํ•˜๋ฉด ๋ฒ ์ธ์˜ ์„ฑ๋Šฅ์ด ๊ฐ์†Œํ•˜๊ณ , ์ฆ‰, ์‚ฌ๊ฐํ˜• ๋ฒ ์ธ(V0)์— ๋น„ํ•ด ๋ฒ ์ธ์˜ ์˜ํ–ฅ์„ ๋ฐ›๋Š” ํ•„๋“œ์˜ ๊ธธ์ด๊ฐ€ ๊ฐ์†Œํ•จ.
  • ์ตœ์ ์˜ ์œ„์–ด ์„ค๊ณ„
    • ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ํ…Œ์ดํผํ˜• ๋ฒ ์ธ(V1~V5)์˜ ์„ฑ๋Šฅ์€ ์‚ฌ๊ฐํ˜• ๋ฒ ์ธ์— ๋น„ํ•ด (2Ho ๊ฑฐ๋ฆฌ์—์„œ) ๊ฐ๊ฐ 5.8%, 7.3%, 17.8%, 33% ๋ฐ 42.6% ๊ฐ์†Œํ•˜๊ณ , 4Ho ๊ฑฐ๋ฆฌ์—์„œ ๊ฐ์†Œ๋Ÿ‰์€ ๊ฐ๊ฐ 7.4%, 11.9%, 17%, 25.5% ๋ฐ 34.3%์ž„.
    • ์ด์™€๋Š” ๋ฐ˜๋Œ€๋กœ, ํ…Œ์ดํผํ˜• ๋ฒ ์ธ์˜ ํšจ์œจ์€ ์ฆ๊ฐ€ํ•จ.
    • ๋ฒ ์ธ V1~V5์˜ ์ค‘์‹ฌ์—์„œ 2Ho ๊ฑฐ๋ฆฌ์—์„œ ์ฆ๊ฐ€๋Ÿ‰์€ ๊ฐ๊ฐ 3.2%, 9%, 11%, 14% ๋ฐ 14.8%์ด๊ณ , 4Ho ๊ฑฐ๋ฆฌ์—์„œ ์ฆ๊ฐ€๋Ÿ‰์€ ๊ฐ๊ฐ 1.4%, 3.6%, 12.1%, 26.7% ๋ฐ 31.3%์ž„.
    • ๋”ฐ๋ผ์„œ, ํ…Œ์ดํผํ˜• ๋ฒ ์ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ตญ๋ถ€์ ์ธ ์Šค์ฝ”์–ด๋ฅผ ์ค„์ด๋Š” ๊ฒฝ์šฐ, ๋ฒ ์ธ ๋ฐฐ์—ด ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ(ds)์— ํฐ ๊ฐ’์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์€ ๊ถŒ์žฅ๋˜์ง€ ์•Š์Œ.
Fig. 1 Laboratory flume used in present research
Fig. 1 Laboratory flume used in present research
Fig. 3 Vane V0 induced circulation downstream of vane
(x = 65.5 cm), flow Froude number of Fr = 0.16
Fig. 3 Vane V0 induced circulation downstream of vane (x = 65.5 cm), flow Froude number of Fr = 0.16

Reference

  1. Flokstra, C. (2006). Modeling of submerged vanes. J. Hydraulic Research. 44(5), 591-602.
  2. Gupta, U.P., Ojha, C.S.P. and Sharma, N. (2010). Enhancing utility of submerged vanes with collar. J. Hydraulic Engineering, ASCE, 136(9), 651-655.
  3. Gupta, U.P., Sharma, N. and Ojha, C.S.P. (2006). Performance evaluation of submergence ratio of a rectangular submerged vane with collar. International Journal of Sediment Research. 21(1), 42-49.
  4. Kalathil, S.T., Wuppukondur, A., Balakrishnan, R.K. and Chandra, V. (2018). Control or sediment inflow into a trapezoidal intake canal using submerged vanes. ASCE, J. Waterway, Port, Coastal, and Ocean Engineering. 144(6), 04018020.
  5. Odgaard, A.J. and Spoljaric, A. (1986). Sediment control by submerged vanes. ASCE, J. Hydraulic Engineering. 112(12), 1164-1181.
  6. Odgaard, A.J. and Wang, Y. (1991a). Sediment management with submerged vanes, I: Theory. J. Hydraulic Engineering, ASCE. 117(3), 267-283.
  7. Odgaard, A.J. and Wang, Y. (1991b). Sediment management with submerged vanes, II: Application. J. Hydraulic Engineering, ASCE. 117(3), 284-302.
  8. Ouyang, H.T. (2009). Investigation on the Dimensions and shape of a submerged vane for sediment management in alluvial channels. J. Hydraulic Engineering, ASCE. 135(3), 209-217.
  9. Ouyang, H.T. and Cheng, P.L. (2016). Characteristics of interactions among a row of submerged vanes in various shapes. J. Hydro-environmental Research. 13, 14-25.
  10. Spoljaric, A. (1988). Mechanics of submerged vanes on flat boundaries. PhD thesis, University of Iowa, Iowa city, Iowa.
Figure 2. (a) Longitudinal depth averaged velocity contours and (b) velocity vectors' alignment around the cylindrical pier after 600 sec. of simulation with Flow-3D software

The Scour Bridge Simulation around a Cylindrical Pier Using Flow-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ์›ํ˜• ๊ต๊ฐ ์ฃผ๋ณ€์˜ ์„ธ๊ตด ์‹œ๋ฎฌ๋ ˆ์ด์…˜

Figure 2. (a) Longitudinal depth averaged velocity contours and (b) velocity vectors' alignment around the cylindrical pier
after 600 sec. of simulation with Flow-3D software
Figure 2. (a) Longitudinal depth averaged velocity contours and (b) velocity vectors’ alignment around the cylindrical pier after 600 sec. of simulation with Flow-3D software

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

๋ฌธ์ œ ์ •์˜

  • ๊ต๊ฐ ์ฃผ๋ณ€์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ตญ๋ถ€ ์„ธ๊ตด(local scour)์€ ์œ ์† ์ฆ๊ฐ€, ๋‚œ๋ฅ˜, ์นจ์‹ ์ž‘์šฉ์— ์˜ํ•ด ๋ฐœ์ƒํ•˜๋ฉฐ, ์ด๋Š” ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ์ฃผ์š” ์›์ธ ์ค‘ ํ•˜๋‚˜์ž„.
  • ๊ธฐํ›„ ๋ณ€ํ™”๋กœ ์ธํ•ด ํ™์ˆ˜ ๋นˆ๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ๊ต๋Ÿ‰ ์•ˆ์ „์„ฑ ํ™•๋ณด๊ฐ€ ๋”์šฑ ์ค‘์š”ํ•ด์ง.
  • ๊ธฐ์กด ์‹คํ—˜ ๋ฐฉ์‹์€ ๋น„์šฉ์ด ๋†’๊ณ  ์œ ์ง€๋ณด์ˆ˜๊ฐ€ ์–ด๋ ต๊ธฐ ๋•Œ๋ฌธ์— ์ปดํ“จํ„ฐ ๊ธฐ๋ฐ˜ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ™œ์šฉํ•œ ์˜ˆ์ธก ์—ฐ๊ตฌ ํ•„์š”.

์—ฐ๊ตฌ ๋ชฉ์ 

  • FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์›ํ˜• ๊ต๊ฐ ์ฃผ๋ณ€์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ตญ๋ถ€ ์„ธ๊ตด์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆ.
  • ์œ ์ž… ์œ ๋Ÿ‰(5, 10, 19, 30 L/sec)์— ๋”ฐ๋ฅธ ์„ธ๊ตด ๊นŠ์ด ๋ณ€ํ™” ๋ถ„์„.
  • ์„ธ๊ตด ๋ฐœ์ƒ ์œ„์น˜์™€ ์œ ๋™ ํŠน์„ฑ์„ ํ‰๊ฐ€ํ•˜์—ฌ ๊ต๋Ÿ‰ ์„ค๊ณ„ ๋ฐ ์œ ์ง€๋ณด์ˆ˜์— ํ™œ์šฉํ•  ๋ฐ์ดํ„ฐ ์ œ๊ณต.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ๋ง ๋ฐ ์„ค์ •

  • ์ˆ˜์น˜ ๋ชจ๋ธ:
    • ์ฑ„๋„ ํฌ๊ธฐ: ๋„ˆ๋น„ 0.4m, ๊ธธ์ด 1.0m
    • ๊ต๊ฐ ํฌ๊ธฐ: ์ง€๋ฆ„ 0.03m, ๋†’์ด 0.3m
    • ํ‡ด์ ์ธต ํฌ๊ธฐ: ๊ธธ์ด 1.0m, ๋„ˆ๋น„ 0.4m, ๋†’์ด 0.12m
  • ์œ ์ฒด ํ•ด์„ ๊ธฐ๋ฒ•:
    • VOF(Volume of Fluid) ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ์ฒด-ํ‡ด์ ์ธต ๊ฒฝ๊ณ„ ์ถ”์ 
    • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํ๋ฆ„ ํ•ด์„
    • ์นจ์‹ ๋ฐ ํ‡ด์  ๋ชจ๋ธ: ์ž…์ž ํฌ๊ธฐ 0.72mm, ๋ฐ€๋„ 2650kg/mยณ, Shields ์ˆ˜ 0.031 ์ ์šฉ
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด:
    • ์œ ์ž…: ๋ถ€ํ”ผ ์œ ๋Ÿ‰ ์กฐ๊ฑด ์ ์šฉ
    • ์œ ์ถœ: ์ถœ๊ตฌ ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •
    • ํ•˜๋ถ€: ๊ณ ์ • ๋ฒฝ ๊ฒฝ๊ณ„ ์ ์šฉ
    • ์ƒ๋ถ€: ๋Œ€์นญ ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์‚ฌ์šฉ

์ฃผ์š” ๊ฒฐ๊ณผ

์„ธ๊ตด ๊นŠ์ด ๋ถ„์„

  • ์‹œ๋ฎฌ๋ ˆ์ด์…˜ 600์ดˆ ํ›„, ๊ฐ ์œ ๋Ÿ‰์—์„œ ์ตœ๋Œ€ ์„ธ๊ตด ๊นŠ์ด:
    • 5 L/sec โ†’ 0.0cm
    • 10 L/sec โ†’ 1.3cm
    • 19 L/sec โ†’ 2.4cm
    • 30 L/sec โ†’ 3.6cm
  • ์„ธ๊ตด ๋ฐœ์ƒ ํŒจํ„ด:
    • ๊ต๊ฐ ์ƒ๋ฅ˜์—์„œ ์„ธ๊ตด์ด ์‹ฌํ•˜๊ฒŒ ๋ฐœ์ƒ, ํ•˜๋ฅ˜์—์„œ๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ์ ์Œ.
    • ๋ง๊ตฝ ์™€๋ฅ˜(horseshoe vortex)์™€ ์ˆ˜์ง ์™€๋ฅ˜(vertical wake vortex)๊ฐ€ ํ‡ด์ ๋ฌผ ์ด๋™์˜ ์ฃผ์š” ์›์ธ์ž„.

์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ต

  • ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ต ์‹œ, FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ƒ๋ฅ˜์—์„œ 30%, ํ•˜๋ฅ˜์—์„œ 20% ๋‚ฎ๊ฒŒ ์˜ˆ์ธก๋จ.
  • ์ด๋Š” ์นจ์‹ ์—ญํ•™์— ๋Œ€ํ•œ ์ถ”๊ฐ€์ ์ธ ๋ณด์ •์ด ํ•„์š”ํ•จ์„ ์˜๋ฏธ.
  • ํ•˜์ง€๋งŒ ์ „์ฒด์ ์ธ ์„ธ๊ตด ํŒจํ„ด ๋ฐ ๊ฒฝํ–ฅ์€ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ์ผ์น˜.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

๊ฒฐ๋ก 

  • FLOW-3D๋ฅผ ํ™œ์šฉํ•œ ์„ธ๊ตด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ€์ง์„ ํ™•์ธ.
  • ์„ธ๊ตด ๊นŠ์ด๋Š” ์œ ์ž… ์œ ๋Ÿ‰์— ๋”ฐ๋ผ ์ฆ๊ฐ€ํ•˜๋ฉฐ, ์ƒ๋ฅ˜์—์„œ ๋” ๊นŠ์€ ์นจ์‹ ๋ฐœ์ƒ.
  • ๋ชจ๋ธ์˜ ํ•œ๊ณ„์ (์„ธ๊ตด ๊นŠ์ด ๊ณผ์†Œ ์˜ˆ์ธก)์„ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•ด ์ถ”๊ฐ€์ ์ธ ์นจ์‹ ๋ณด์ •์ด ํ•„์š”.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • ๋” ๊ธด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹œ๊ฐ„ ์„ค์ •์„ ํ†ตํ•œ ์นจ์‹-ํ‡ด์  ๊ท ํ˜• ๋ถ„์„.
  • ๋‹ค์–‘ํ•œ ๊ต๊ฐ ํ˜•์ƒ ๋ฐ ํ•˜์ƒ ์กฐ๊ฑด์—์„œ ์ถ”๊ฐ€ ๊ฒ€์ฆ ์ˆ˜ํ–‰.
  • ํ˜„์žฅ ์ธก์ • ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ ์‹ ๋ขฐ์„ฑ ํ–ฅ์ƒ.

์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ต๊ฐ ์ฃผ๋ณ€ ์„ธ๊ตด์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ , ์œ ๋Ÿ‰์— ๋”ฐ๋ฅธ ์„ธ๊ตด ํŒจํ„ด์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด ๊ฒฐ๊ณผ๋Š” ํ–ฅํ›„ ๊ต๋Ÿ‰ ์„ค๊ณ„ ๋ฐ ์œ ์ง€๋ณด์ˆ˜ ์ „๋žต ์ˆ˜๋ฆฝ์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํ™์ˆ˜ ์‹œ ๊ต๋Ÿ‰ ๋ถ•๊ดด๋ฅผ ์˜ˆ๋ฐฉํ•˜๋Š” ๋ฐ ๊ธฐ์—ฌํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.

Figure 1. Geometry and meshing structure of the model for simulation of scour around a cylindrical pier
Figure 1. Geometry and meshing structure of the model for simulation of scour around a cylindrical pier
Figure 2. (a) Longitudinal depth averaged velocity contours and (b) velocity vectors' alignment around the cylindrical pier
after 600 sec. of simulation with Flow-3D software
Figure 2. (a) Longitudinal depth averaged velocity contours and (b) velocity vectors’ alignment around the cylindrical pier after 600 sec. of simulation with Flow-3D software

References

  1. Abdelaziz, S., Bui, M.D., Rutschmann, P. 2010. Numerical simulation of scour development due to submerged horizontal jet, 5th River Flow, International Conference on Fluvial Hydraulics.
  2. Alabi, P.D. 2006. Time development of local scour at bridge pier fitted with a collar. Master Science Thesis, University of Saskatchewan, Canada.
  3. Briaud, J.L., Gardoni, P., Yao, C. 2012. Bridge Scour Risk, ICSE6 Paris. ICSE6-011.
  4. Elsebaie, I.H. 2013. An Experimental Study of Local Scour around Circular Bridge Pier in Sand Soil, International Journal of Civil & Environmental Engineering (IJCEE-IJENS), 13(1), 23-28.
  5. Flow-3D v.9.2, Flow Science Inc., 2007, User’s Manual. www.flow3d.com.
  6. Jafari, M., Ayyoubzadeh, S.A., Esmaeili Varaki, M., Rostami, M. 2017. Simulation of Flow Pattern around Inclined Bridge Group Pier using FLOW-3D Software. Journal of Water and Soil, 30(6), 1860-1873.
  7. Heidarpour, M., Afzalimehr, H., Izadinia, E. 2010. Reduction of local scour around bridge pier groups using collars, International Journal of Sediment Research, 25(4): 411-422.
  8. Melville, B.W., Sutherland. A.J. 1988. Design method for local scour at bridge piers. J. Hyd. Eng, 114(10): 1210-1226.
  9. Olsen, N.R. 2007. A three dimensional numerical model for simulation of sediment movements in water intakes with multiblock option, Userโ€™s manual [Online]. Available: http://www.ntnu.no.
  10. Prendergast L.J., Gavin, K. 2014. A review of bridge scour monitoring techniques, Journal of Rock Mechanics and Geotechnical Engineering, 6, 138-149.
  11. Ramezani, Y., Babagoli Sefidkoohi, R. 2016. Comparison of Turbulence Models for Estimation of Bed Shear Stress Around Bridge Abutment in Compound Channel, Water and soil science, 26(2): 95-109.
  12. Soltani-Gerdefaramarzi, S., Afzalimehr, H., Chiew, Y.M., Lai, J.S. 2013a. Jets to control scour around circular bridge piers. Canadian journal of civil engineering, 40(3), 204-212.
  13. Soltani-Gerdefaramarzi, S., Afzalimehr, H., Chiew, Y.M., Ghasemi, M. 2013b. Turbulent characteristics in flow subjected to bed suction and jet injection as a pier-scour countermeasure, International Journal of Hydraulic Engineering, 2(5), 93-100.
  14. Soltani-Gerdefaramarzi, S., Afzalimehr, H., Chiew, Y.M., Gallichand, J. 2014. Reduction of pier scour using bed suction and jet injection. Water management. 167(2), 105-114.
  15. Smith, H. 2007. Flow and sediment dynamics around three-dimensional structures in coastal environments, Ph.D. thesis, The Ohio State University.
  16. Yildiz, B., Koken, M., Gogus, M. 2013. Abutment Scour Simulations by Using FLOW-3D, FLOW-3D user conference, Flow Science Inc.
Figure 3 Definition of physical geometry and flow parameters, FLOW-3D

Numerical Modelling of Flow over Single-Step Broad-Crested Weir Using FLOW-3D and HEC-RAS

FLOW-3D ๋ฐ HEC-RAS๋ฅผ ์ด์šฉํ•œ ๋‹จ์ผ ๊ณ„๋‹จํ˜• ๊ด‘์ •์ˆ˜์ œ ์œ„๋ฅผ ํ๋ฅด๋Š” ์œ ๋™์˜ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง

1. ์„œ๋ก 

  • ์ˆ˜์น˜์œ ์ฒด์—ญํ•™(CFD)์˜ ๋ฐœ์ „์œผ๋กœ ๋‹ค์–‘ํ•œ ์ˆ˜๋ฆฌ ๊ตฌ์กฐ๋ฌผ์˜ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜๋Š” ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง.
  • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” FLOW-3D(k-ฮต ๋ชจ๋ธ)์™€ HEC-RAS(์ •์ƒ์œ ๋™ ๋ชจ๋ธ)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋‹จ์ผ ๊ณ„๋‹จํ˜• ๊ด‘์ •์ˆ˜์ œ ์œ„๋ฅผ ํ๋ฅด๋Š” ์œ ๋™์„ ๋ชจ์˜ํ•จ.
  • ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‘ ๋ชจ๋ธ์˜ ์ •ํ™•๋„๋ฅผ ๋น„๊ต ๋ถ„์„ํ•˜๋ฉฐ, ํŠนํžˆ ์ •์ˆ˜์ œ ์ „ยทํ›„๋ฐฉ ๋ฐ ๊ณ„๋‹จ๋ถ€์—์„œ์˜ ์œ ๋™ ํŠน์„ฑ์„ ํ‰๊ฐ€ํ•จ.

2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

๋ชจ๋ธ ์„ค์ • ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์กฐ๊ฑด

  • FLOW-3D ๋ชจ๋ธ
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
    • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํ•ด์„ ์ˆ˜ํ–‰.
    • FAVOR(Fractional Area/Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ๊ตฌ์กฐ ํ˜•์ƒ ๋ฐ˜์˜.
  • HEC-RAS ๋ชจ๋ธ
    • Steady-Flow ๋ชจ๋“ˆ์„ ์ด์šฉํ•˜์—ฌ ์ •์ƒ์œ ๋™ ํ•ด์„.
    • ์ˆ˜์œ„ ํ”„๋กœํŒŒ์ผ์„ ์—๋„ˆ์ง€ ๋ฐฉ์ •์‹์„ ์ด์šฉํ•˜์—ฌ ๊ณ„์‚ฐ.
    • ์ˆ˜๋ ฅ ์ ํ”„(hydraulic jump) ๋ฐ ๊ณผ๋„ ํ๋ฆ„(supercritical flow) ์˜ˆ์ธก.
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •
    • ์œ ์ž…๋ถ€: ๋ถ€ํ”ผ ์œ ๋Ÿ‰(Volume flow rate) ์กฐ๊ฑด ์ ์šฉ.
    • ์œ ์ถœ๋ถ€: ์ž์œ  ๋ฐฐ์ถœ(Outflow) ์กฐ๊ฑด ์„ค์ •.
    • ๋ฒฝ๋ฉด: No-slip ์กฐ๊ฑด ์ ์šฉ.

3. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ

์œ ๋™ ํŒจํ„ด ๋ถ„์„

  • ์ •์ˆ˜์ œ ์ƒ๋ฅ˜๋ถ€:
    • HEC-RAS์™€ FLOW-3D ๋ชจ๋‘ ์ƒ๋ฅ˜๋ถ€์—์„œ์˜ ์ˆ˜์œ„ ๋ถ„ํฌ๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธก(ํ‰๊ท  ์˜ค์ฐจ: 0.52%, 0.59%).
  • ์ •์ˆ˜์ œ ์ƒ๋ถ€ ํ๋ฆ„:
    • HEC-RAS๋Š” ์ ์ง„์ ์ธ ํ๋ฆ„์„ ์ •ํ™•ํžˆ ๊ณ„์‚ฐํ•˜์ง€ ๋ชปํ•˜๊ณ  ๋ถˆ์—ฐ์†์ ์ธ ํ”„๋กœํŒŒ์ผ์„ ์ƒ์„ฑํ•จ.
    • FLOW-3D๋Š” ์ ์ง„์ ์ธ ํ๋ฆ„ ๋ณ€ํ™”๋ฅผ ๋ณด๋‹ค ์ •ํ™•ํ•˜๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜(ํ‰๊ท  ์˜ค์ฐจ: 1.57%, HEC-RAS: 2.48%).
  • ๋‚™์ˆ˜(nape flow) ๋ฐ ์ˆ˜๋ ฅ ์ ํ”„(hydraulic jump) ํ˜•์„ฑ:
    • HEC-RAS๋Š” ์ˆ˜์ง๋ฉด์„ ์ง€๋‚˜๊ฐ€๋Š” ํ๋ฆ„์„ ์ œ๋Œ€๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜์ง€ ๋ชปํ•จ.
    • FLOW-3D๋Š” ์ˆ˜๋ ฅ ์ ํ”„ ์œ„์น˜๋ฅผ ๋ณด๋‹ค ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธก.
  • ์ž„๊ณ„์ˆ˜์‹ฌ(yc) ๋ฐ ์ „๋ฉด์ˆ˜์‹ฌ(yb) ๋ถ„์„
    • FLOW-3D ์˜ˆ์ธก ๊ฐ’(yc/yb ๋น„์œจ = 1.5687)์ด ์‹คํ—˜๊ฐ’(1.5)๊ณผ ๊ฐ€์žฅ ์œ ์‚ฌ.
    • HEC-RAS๋Š” yb๋ฅผ ๊ณผ๋Œ€ ์˜ˆ์ธกํ•˜์—ฌ yc/yb ๋น„์œจ์ด 1.0193์œผ๋กœ ๋‚˜ํƒ€๋‚จ.

4. ๊ฒฐ๋ก  ๋ฐ ์ œ์•ˆ

๊ฒฐ๋ก 

  • FLOW-3D๋Š” ์ ์ง„์  ํ๋ฆ„, ๋‚œ๋ฅ˜, ์ˆ˜๋ ฅ ์ ํ”„์˜ ์œ„์น˜ ๋“ฑ์„ ๋ณด๋‹ค ์ •๋ฐ€ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š”๋ฐ ์œ ๋ฆฌํ•จ.
  • HEC-RAS๋Š” ์žฅ๊ฑฐ๋ฆฌ ์ฑ„๋„์—์„œ ์ •์ƒ์œ ๋™์„ ๋น ๋ฅด๊ฒŒ ๋ถ„์„ํ•˜๋Š” ๋ฐ ํšจ๊ณผ์ ์ด๋‚˜, ๊ธ‰๊ฒฉํ•œ ํ๋ฆ„ ๋ณ€ํ™”๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ ๋ถ€์ •ํ™•ํ•  ์ˆ˜ ์žˆ์Œ.
  • ๋‚™์ˆ˜ ์˜์—ญ์—์„œ HEC-RAS๋Š” ๊ณก๋ฉด ํ๋ฆ„์„ ์ œ๋Œ€๋กœ ์žฌํ˜„ํ•˜์ง€ ๋ชปํ•˜์ง€๋งŒ, FLOW-3D๋Š” ์ด๋ฅผ ๋ณด๋‹ค ํ˜„์‹ค์ ์œผ๋กœ ๋ชจ์˜.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • ๋‹ค์–‘ํ•œ ๊ณ„๋‹จ ํ˜•์ƒ ๋ฐ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ์˜ ์ถ”๊ฐ€ ์—ฐ๊ตฌ ํ•„์š”.
  • ์‹ค์ œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•œ ๋ชจ๋ธ ๊ฒ€์ฆ ์—ฐ๊ตฌ ์ง„ํ–‰.
  • LES(Large Eddy Simulation) ๋ชจ๋ธ๊ณผ์˜ ๋น„๊ต ์—ฐ๊ตฌ ์ˆ˜ํ–‰.

5. ์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D์™€ HEC-RAS๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹จ์ผ ๊ณ„๋‹จํ˜• ๊ด‘์ •์ˆ˜์ œ ์œ„๋ฅผ ํ๋ฅด๋Š” ์œ ๋™์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ๋‘ ๋ชจ๋ธ์˜ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜์˜€๋‹ค. FLOW-3D๋Š” ๋‚œ๋ฅ˜ ํ๋ฆ„๊ณผ ์ˆ˜๋ ฅ ์ ํ”„๋ฅผ ๋ณด๋‹ค ์ •๋ฐ€ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ์œ ์šฉํ•˜๋ฉฐ, HEC-RAS๋Š” ์ •์ƒ ์œ ๋™ ์กฐ๊ฑด์—์„œ ๊ฒฝ์ œ์ ์ธ ํ•ด์„์ด ๊ฐ€๋Šฅํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค.

6. ์ฐธ๊ณ  ๋ฌธํ—Œ

  1. Akan, A. O. (2006), Open Channel Hydraulics, First edition, Elsevier.
  2. Akbar, Z.A.; Habib, M.J.S.; Hassan, L.: Simulation of Hydraulic Jump through Channels Junction Using the FLOW-3D and Flunent Models, Research Journal of Recent Sciences, 4(1), 129-134 (2015).
  3. Babaali, H.; Shamsai, A.; Vosoughifar, H.: Computational Modeling of the Hydraulic Jump in the Stilling Basin with Convergence Walls Using CFD Codes, Arabian Journal for Science and Engineering, 4(2), 381โ€“395 (2015).
  4. Chanson, H.: The Hydraulics of Open Channel Flow: An Introduction, Second edition, Elsevier (2004).
  5. Chow, V.T.: Open-Channel Hydraulics, McGraw-Hill (1959).
  6. Cook, A.C.: Comparison of One-Dimensional HEC-RAS with Two-Dimensional FESWMS Model in Flood Inundation Mapping, MSc thesis, Purdue University, USA (2008).
  7. Crookston, B.M.; Paxson, G.S.; Savage, B.M.: Hydraulic Performance of Labyrinth Weirs for High Headwater Ratios, The 4th IAHR International Symposium on Hydraulic Structures, Porto, Portugal, 1-8 (2012).
  8. FLOW-3D Documentation, Release 10.1.0, Flow Science, Inc. (2012).
  9. Graebel, W.P.: Advanced Fluid Mechanics, Elsevier (2007).
  10. Gonzalez, N.S.: Two-Dimensional Modeling of the Red River Floodway, MSc thesis, University of Manitoba, Canada (1999).
  11. Hoseini, S.H.: 3D Simulation of Flow over a Triangular Broad-Crested Weir, Journal of River Engineering, 2(2), 1-7 (2014).
  12. Khazaee, I.; Mohammadiun, M.: Effect of flow field on open channel flow properties using numerical investigation and experimental comparison, International Journal of Energy and Environment, 3(4), 617-628 (2012).
  13. Mohammed, J.R.; Qasim, J.M.: Comparison of One-Dimensional HEC-RAS with Two-Dimensional ADH for Flow over Trapezoidal Profile Weirs, Caspian Journal of Applied Sciences Research, 1(6), 1-12 (2012).
  14. Rady, R.M.: 2D-3D Modeling of Flow over Sharp-Crested Weirs, Journal of Applied Sciences Research, 7(12), 2495-2505 (2011).
  15. Siddique-E-Akbor, A.H.M.; Hossain, F.; Lee, H.; Shum, C.K.: Inter-comparison study of water level estimates derived from hydrodynamicโ€“hydrologic model and satellite altimetry for a complex deltaic environment, Remote Sensing of Environment, Vol. 115, 1522โ€“1531 (2011).
  16. Subramanya, K.: Flow in Open Channels, McGraw-Hill (1986).
  17. Toombes, L.; Chanson, H.: Numerical Limitations of Hydraulic Models, The 34th International
    Association for Hydraulic Research World Congress, Brisbane, Australia, 2322-2329 (2011).
Fig. 6. Results of RMA-2 & FLOW-3D Model.(Flow vector)

2D ๋ฐ 3D ๋ชจ๋ธ์„ ์ด์šฉํ•œ ์ž์—ฐํ•˜๋„์˜ ๋งŒ๊ณก๋ถ€์—์„œ์˜ ํ๋ฆ„ ํŠน์„ฑ ์—ฐ๊ตฌ

Fig. 6. Results of RMA-2 & FLOW-3D Model.(Flow vector)

1. ์„œ๋ก 

  • ์ตœ๊ทผ ๊ธฐ์ƒ์ด๋ณ€์œผ๋กœ ์ธํ•œ ๊ตญ์ง€์  ํ™์ˆ˜๊ฐ€ ๋นˆ๋ฒˆํ•ด์ง€๋ฉด์„œ ํ•˜์ฒœ ๋งŒ๊ณก๋ถ€์—์„œ์˜ ํ๋ฆ„ ํŠน์„ฑ์„ ์ •ํ™•ํ•˜๊ฒŒ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•ด์ง.
  • ์ž์—ฐํ•˜์ฒœ์˜ ๋งŒ๊ณก๋ถ€๋Š” ๊ณก๋ฅ  ๋ณ€ํ™”์— ๋”ฐ๋ผ ์œ ๋™ ํŠน์„ฑ์ด ํฌ๊ฒŒ ๋ณ€ํ•˜๋ฉฐ, ํ™์ˆ˜ ์‹œ ํ†ต์ˆ˜๋Šฅ ์ €ํ•˜ ๋ฐ ๋ฒ”๋žŒ ๊ฐ€๋Šฅ์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ด.
  • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” 2D RMA-2 ๋ชจ๋ธ๊ณผ 3D FLOW-3D ๋ชจ๋ธ์„ ์ด์šฉํ•˜์—ฌ ๋‚™๋™๊ฐ• ๋ณธ๋ฅ˜์˜ ๋งŒ๊ณก๋ถ€ ํ๋ฆ„ ํŠน์„ฑ์„ ๋น„๊ต ๋ถ„์„ํ•จ.

2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

์—ฐ๊ตฌ ๋Œ€์ƒ ์ง€์—ญ

  • ์—ฐ๊ตฌ ๋Œ€์ƒ ๊ตฌ๊ฐ„: ๋‚™๋™๊ฐ• ๋ณธ๋ฅ˜ ์ค‘ ๋‚™๋™์ˆ˜์œ„ํ‘œ ๊ธฐ์ค€ ํ•˜๋ฅ˜ 14km ๊ตฌ๊ฐ„.
  • ๋งŒ๊ณก๋น„(Curve Ratio) = 1.044 (์—ฐ๊ตฌ ๋Œ€์ƒ ๊ตฌ๊ฐ„์˜ ๊ณก๋ฅ ).
  • 100๋…„ ๋นˆ๋„ ํ™์ˆ˜๋Ÿ‰์„ ์ ์šฉํ•˜์—ฌ 2D ๋ฐ 3D ๋ชจ๋ธ์˜ ์ˆ˜์น˜ํ•ด์„ ์ˆ˜ํ–‰.

FLOW-3D ๊ธฐ๋ฐ˜ 3D ๋ชจ๋ธ๋ง

  • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
  • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํ•ด์„ ์ˆ˜ํ–‰.
  • FAVOR(Fractional Area/Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ์ง€ํ˜•์„ ๋ฐ˜์˜.
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •:
    • ์œ ์ž…๋ถ€: ๋ถ€ํ”ผ ์œ ๋Ÿ‰(Volume flow rate) ์กฐ๊ฑด ์ ์šฉ.
    • ์œ ์ถœ๋ถ€: ์ž์œ  ๋ฐฐ์ถœ(Outflow) ์กฐ๊ฑด ์„ค์ •.
    • ๋ฒฝ๋ฉด: No-slip ์กฐ๊ฑด ์ ์šฉ.

3. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ

์œ ์† ํŠน์„ฑ ๋น„๊ต

  • 2D ๋ชจ๋ธ(RMA-2)์˜ ํ‰๊ท  ์œ ์†์ด 3D ๋ชจ๋ธ(FLOW-3D)๋ณด๋‹ค ์•ฝ 1.3๋ฐฐ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚จ.
  • ๋งŒ๊ณก๋ถ€ ์™ธ์ธก์—์„œ 3D ๋ชจ๋ธ์€ ์ˆ˜์ถฉ(erosion)์œผ๋กœ ์ธํ•ด ์™€๋ฅ˜(Vortex)๊ฐ€ ๋ฐœ์ƒํ•˜์˜€์ง€๋งŒ, 2D ๋ชจ๋ธ์—์„œ๋Š” ๋ฐœ์ƒํ•˜์ง€ ์•Š์Œ.
  • ๋‚ด์ธก์œผ๋กœ ๊ฐˆ์ˆ˜๋ก ๋‘ ๋ชจ๋ธ ๊ฐ„ ์œ ์† ์ฐจ์ด๊ฐ€ ์ ์ฐจ ๊ฐ์†Œ.
  • ์ตœ๋Œ€ ์œ ์†์ด ๋ฐœ์ƒํ•˜๋Š” ์œ„์น˜๋Š” ๋‘ ๋ชจ๋ธ์—์„œ ๋™์ผํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚จ.

ํŽธ์ˆ˜์œ„(Super Elevation) ํŠน์„ฑ ๋น„๊ต

  • ๋งŒ๊ณก๋ถ€ ์™ธ์ธก์—์„œ ์ตœ๋Œ€ ์ˆ˜์œ„ ๋ฐœ์ƒ, ๋‚ด์ธก์—์„œ๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์€ ์ˆ˜์œ„ ํ™•์ธ.
  • 2D ๋ชจ๋ธ: ๋‚ด์ธก์˜ ์ˆ˜์œ„ ๊ฐ์†Œ์œจ์ด ์™ธ์ธก์˜ ์ฆ๊ฐ€์œจ๋ณด๋‹ค ํผ.
  • 3D ๋ชจ๋ธ: ์™ธ์ธก์˜ ์ˆ˜์œ„ ์ฆ๊ฐ€์œจ์ด ๋‚ด์ธก์˜ ๊ฐ์†Œ์œจ๋ณด๋‹ค ํผ.
  • 3D ๋ชจ๋ธ์—์„œ ์™ธ์ธก ์ˆ˜์œ„๊ฐ€ ๋” ๋†’์•„์ง„ ์ด์œ ๋Š” ์ˆ˜์ถฉ์˜ ์˜ํ–ฅ์œผ๋กœ ์ธํ•œ ์ถ”๊ฐ€์ ์ธ ๋‚œ๋ฅ˜ ํšจ๊ณผ ๋•Œ๋ฌธ์œผ๋กœ ๋ถ„์„๋จ.

4. ๊ฒฐ๋ก  ๋ฐ ์ œ์•ˆ

๊ฒฐ๋ก 

  • FLOW-3D ๊ธฐ๋ฐ˜ 3D ๋ชจ๋ธ์€ ๋งŒ๊ณก๋ถ€์˜ ์œ ๋™ ํŠน์„ฑ์„ ๋ณด๋‹ค ์ •๋ฐ€ํ•˜๊ฒŒ ๋ฐ˜์˜ํ•จ.
  • 2D ๋ชจ๋ธ์€ ์ƒ๋Œ€์ ์œผ๋กœ ๊ณ„์‚ฐ ์†๋„๊ฐ€ ๋น ๋ฅด์ง€๋งŒ, ์ˆ˜์ถฉ ์˜ํ–ฅ๊ณผ ์™€๋ฅ˜ ๋ฐœ์ƒ ๋“ฑ์˜ ๋ณต์žกํ•œ ํ๋ฆ„์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๊ธฐ ์–ด๋ ค์›€.
  • 3D ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ ๋ณต์žกํ•œ ์ง€ํ˜• ๋ฐ ๋‚œ๋ฅ˜ ํšจ๊ณผ๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ๊ณ ๋ คํ•  ์ˆ˜ ์žˆ์–ด ํ•˜์ฒœ ์ •๋น„ ๋ฐ ํ™์ˆ˜ ์˜ˆ์ธก์— ์œ ์šฉํ•จ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • 3D ๋ชจ๋ธ์„ ํ™œ์šฉํ•œ ๋‹ค์–‘ํ•œ ๊ณก๋ฅ  ๋ฐ ํ•˜ํญ ์กฐ๊ฑด์—์„œ์˜ ํ๋ฆ„ ํŠน์„ฑ ๋ถ„์„ ํ•„์š”.
  • ํ•˜์ฒœ ๋‚ด ์‹์ƒ ๋ฐ ์ง€ํ˜• ๋ณ€ํ™”๊ฐ€ ํ๋ฆ„ ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ์—ฐ๊ตฌ.
  • ์‹ค์ œ ํ˜„์žฅ ๊ด€์ธก ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ชจ๋ธ ๊ฒ€์ฆ ์—ฐ๊ตฌ ์ˆ˜ํ–‰.

5. ์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ž์—ฐํ•˜์ฒœ ๋งŒ๊ณก๋ถ€์—์„œ์˜ ์œ ๋™ ํŠน์„ฑ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , 2D ๋ฐ 3D ๋ชจ๋ธ ๊ฐ„์˜ ์ฐจ์ด๋ฅผ ๋น„๊ตํ•˜์˜€๋‹ค. ํ–ฅํ›„ ํ™์ˆ˜ ์˜ˆ๋ฐฉ ๋ฐ ํ•˜์ฒœ ์ •๋น„ ๊ณ„ํš ์ˆ˜๋ฆฝ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•œ๋‹ค.

6. ์ฐธ๊ณ  ๋ฌธํ—Œ

  1. ๊ฑด์„ค๊ตํ†ต๋ถ€, 1993, ๋‚™๋™๊ฐ•ํ•˜์ฒœ์ •๋น„๊ธฐ๋ณธ๊ณ„ํš.
  2. ๊น€์ฐฝ์„ฑ, 2005, FLOW-3D๋ฅผ ์ด์šฉํ•œ ๊ต๊ฐ ์ฃผ๋ณ€ ํ๋ฆ„์˜ ์ˆ˜์น˜ํ•ด์„, ์„์‚ฌํ•™์œ„๋…ผ๋ฌธ, ๋ช…์ง€๋Œ€ํ•™๊ต.
  3. ๋ฐ•๊ธฐ๋ฒ”, 2007, ๊ธ‰๊ฒฝ์‚ฌ ๋งŒ๊ณก๋ถ€ ํ•˜๋„์˜ 2์ฐจ์› ์ˆ˜๋ฆฌํŠน์„ฑ ํ•ด์„, ํ•œ๊ตญํ™˜๊ฒฝ๊ณผํ•™ํšŒ์ง€, 16(9), 1039-1049.
  4. ์„œ์ผ์›, ๋ฐฑ๊ฒฝ์˜ค, ์„ฑ๊ธฐํ›ˆ, 2002, S์žํ˜• ๋งŒ๊ณก ์ˆ˜๋กœ์˜ ํ๋ฆ„ ํŠน์„ฑ์— ๊ด€ํ•œ ์‹คํ—˜์  ์—ฐ๊ตฌ, ๋Œ€ํ•œํ† ๋ชฉํ•™ํšŒ ํ•™์ˆ ๋Œ€ํšŒ, 11, 115-118.
  5. ์•ˆ์Šน์„ญ, ์ด์ƒ์ผ, ๊น€์ •๊ธฐ, ๋ฐ•๋™์ผ, 2011, ํ•˜๋„๋งŒ๊ณก๋ถ€์˜ ํ๋ฆ„ํŠน์„ฑ ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ ์‹คํ—˜์  ๊ณ ์ฐฐ, ํ•œ๊ตญํ™˜๊ฒฝ๊ธฐ์ˆ ํ•™ํšŒ์ง€, 12(1), 7-14.
  6. ์•ˆ์Šน์„ญ, ์ด์ƒ์ผ, ๋ฐ•๋™์ผ, ๊น€์œ„์„, 2011, ํ•˜๋„๋งŒ๊ณกํ˜•์ƒ์— ๋”ฐ๋ฅธ ์ˆ˜๋ฆฌํŠน์„ฑ๋ถ„์„, ํ•œ๊ตญํ™˜๊ฒฝ๊ณผํ•™ํšŒ์ง€, 20(10), 1309-1317.
  7. ์œค์„ ๊ถŒ, 2007, FLOW-3D๋ฅผ ์ด์šฉํ•œ ํ•˜์ฒœํ๋ฆ„ ํ•ด์„์— ๊ด€ํ•œ ์—ฐ๊ตฌ, ์„์‚ฌํ•™์œ„๋…ผ๋ฌธ, ์„œ์šธ์‹œ๋ฆฝ๋Œ€ํ•™๊ต.
  8. ์ •์žฌ์šฑ, ์ •ํ˜„์ˆ˜, ์ด์ข…์„ค, ์œค์„ธ์˜, 2000, RMA-2๋ชจํ˜•์„ ์ด์šฉํ•œ ๋งŒ๊ณก์ˆ˜๋กœ์˜ ํ๋ฆ„ํŠน์„ฑ ๋ถ„์„, ๋Œ€ํ•œํ† ๋ชฉํ•™ํšŒ๋…ผ๋ฌธ์ง‘, 20(4-B), 479-489.
  9. ์ตœ๋ณด๋žŒ, 2010, FLOW-3D๋ฅผ ์ด์šฉํ•œ ๋Œ ์—ฌ์ˆ˜๋กœ ํ๋ฆ„ํ˜„์ƒ ๊ฒ€ํ† , ์„์‚ฌํ•™์œ„๋…ผ๋ฌธ, ๋™์•„๋Œ€ํ•™๊ต.
  10. EMRL(Environmental Modeling Research Laboratory), 2000, SMS (Surface-water modeling System) RMA-2 User’s Manual, Brigham Young University, Utah, 110-240.
Fig. 6. Vector plot of turbulent energy.

FLOW-3D ๋ชจํ˜•์„ ์ด์šฉํ•œ ์šฉ์Šน๋ฅ˜ ๋ชจ์˜

Fig. 6. Vector plot of turbulent energy.

1. ์„œ๋ก 

  • ์ตœ๊ทผ ์ผ๋ณธ๊ณผ ํ•œ๊ตญ์—์„œ ๋Œ€๊ทœ๋ชจ ํ•ด์–‘๊ตฌ์กฐ๋ฌผ์„ ์ด์šฉํ•˜์—ฌ ์ธ๊ณต์ ์œผ๋กœ ์šฉ์Šน๋ฅ˜๋ฅผ ๋ฐœ์ƒ์‹œํ‚ค๋Š” ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํžˆ ์ง„ํ–‰๋˜๊ณ  ์žˆ์Œ.
  • ์šฉ์Šน๋ฅ˜๋Š” ์‹ฌ์ธต์ˆ˜์˜ ์˜์–‘์—ผ์„ ํ‘œ์ธต์œผ๋กœ ์ด๋™์‹œ์ผœ ์–ด์žฅ ํ™˜๊ฒฝ์„ ๊ฐœ์„ ํ•˜๋Š” ํšจ๊ณผ๋ฅผ ๊ฐ€์ง.
  • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” FLOW-3D๋ฅผ ์ด์šฉํ•˜์—ฌ ์šฉ์Šน๋ฅ˜์˜ ํ๋ฆ„์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ชจ์˜ํ•˜๊ณ , Marker ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ์˜์–‘์—ผ์˜ ์ด๋™์„ ๋ถ„์„ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํƒ์ƒ‰ํ•จ.

2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

FLOW-3D ๊ธฐ๋ฐ˜ CFD ๋ชจ๋ธ๋ง

  • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
  • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ์œ ๋™ ํ•ด์„ ์ˆ˜ํ–‰.
  • FAVOR(Fractional Area/Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ํ•ด์ € ๊ตฌ์กฐ ๋ฐ˜์˜.
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •:
    • ์œ ์ž…๋ถ€: ์ผ์ • ์œ ๋Ÿ‰(Volume flow rate) ์กฐ๊ฑด ์ ์šฉ.
    • ์œ ์ถœ๋ถ€: ์ž์œ  ๋ฐฐ์ถœ(Outflow) ์กฐ๊ฑด ์„ค์ •.
    • ๋ฒฝ๋ฉด: No-slip ์กฐ๊ฑด ์ ์šฉ.
  • ๊ฒ€์‚ฌ๋‹จ๋ฉด(Observation section) ์„ค์ •
    • ๊ฒ€์‚ฌ๋‹จ๋ฉด์—์„œ์˜ ์˜์–‘์—ผ ๋†๋„ ๋ณ€ํ™”๋ฅผ ์ถ”์ ํ•˜์—ฌ ์šฉ์Šนํšจ๊ณผ๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„.

3. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ

์šฉ์Šน๋ฅ˜ ํ๋ฆ„ ๋ถ„์„

  • ์šฉ์Šน ๊ตฌ์กฐ๋ฌผ ์„ค์น˜ ์ „ํ›„ ๋น„๊ต ๊ฒฐ๊ณผ, ๊ตฌ์กฐ๋ฌผ ์„ค์น˜ ํ›„ ์ˆ˜์ง ์œ ์†์ด ์ฆ๊ฐ€ํ•˜์—ฌ ์˜์–‘์—ผ์ด ์ƒ์ธต์œผ๋กœ ์ด๋™ํ•จ.
  • ๊ตฌ์กฐ๋ฌผ ๋†’์ด์— ๋”ฐ๋ฅธ ์šฉ์Šน๋ฅ˜์˜ ๊ฐ•๋„ ๋ณ€ํ™” ํ™•์ธ:
    • ๋†’์ด 14m: ์ตœ๋Œ€ ์—ฐ์ง ์œ ์† 0.204 m/s.
    • ๋†’์ด 17m: ์ตœ๋Œ€ ์—ฐ์ง ์œ ์† 0.210 m/s.
  • ๋‚œ๋ฅ˜ ๊ฐ•๋„ ๋ฐ ์œ ๋™ ํŒจํ„ด
    • ์šฉ์Šน๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ์œ„์น˜์—์„œ ๋‚œ๋ฅ˜ ์—๋„ˆ์ง€๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉฐ, ์˜์–‘์—ผ์ด ํšจ๊ณผ์ ์œผ๋กœ ์ด๋™ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚จ.
  • Marker ๊ธฐ๋ฒ•์„ ์ด์šฉํ•œ ์˜์–‘์—ผ ์ด๋™ ๋ถ„์„
    • ํ•ด์ €์— ๋ถ„ํฌํ•œ Marker๊ฐ€ ๊ตฌ์กฐ๋ฌผ์˜ ์šฉ์Šน ํšจ๊ณผ๋กœ ์ธํ•ด ํ‘œ์ธต์œผ๋กœ ์ด๋™ํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•จ.

4. ๊ฒฐ๋ก  ๋ฐ ์ œ์•ˆ

๊ฒฐ๋ก 

  • FLOW-3D ๊ธฐ๋ฐ˜ ์ˆ˜์น˜ ๋ชจ๋ธ์ด ์šฉ์Šน๋ฅ˜ ํšจ๊ณผ๋ฅผ ์ •์„ฑ์ ์œผ๋กœ ๋ถ„์„ํ•˜๋Š” ๋ฐ ์œ ์šฉํ•จ.
  • ๊ตฌ์กฐ๋ฌผ์˜ ๋†’์ด๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์šฉ์Šน๋ฅ˜๊ฐ€ ๊ฐ•ํ•ด์ง€๊ณ , ์˜์–‘์—ผ์˜ ์ด๋™ ํšจ๊ณผ๊ฐ€ ๋šœ๋ ทํ•ด์ง.
  • ๊ฒ€์‚ฌ๋‹จ๋ฉด์—์„œ์˜ ์˜์–‘์—ผ ๋†๋„ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜๋ฉด ์šฉ์Šนํšจ๊ณผ๋ฅผ ์‚ฌ์ „์— ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ์Œ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • ๋‹ค์–‘ํ•œ ๊ตฌ์กฐ๋ฌผ ํ˜•์ƒ๊ณผ ๋ฐฐ์น˜ ์กฐ๊ฑด์—์„œ ์šฉ์Šนํšจ๊ณผ ์ตœ์ ํ™” ์—ฐ๊ตฌ.
  • LES(Large Eddy Simulation) ๋ชจ๋ธ๊ณผ์˜ ๋น„๊ต ์—ฐ๊ตฌ ์ˆ˜ํ–‰.
  • ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์‹คํ—˜์  ๊ฒ€์ฆ ์ง„ํ–‰.

5. ์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ธ๊ณต ์šฉ์Šน๋ฅ˜์˜ ์œ ๋™ ํŠน์„ฑ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , Marker ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์˜์–‘์—ผ์˜ ์ด๋™์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์–ด์žฅ ์กฐ์„ฑ ์‚ฌ์—…์˜ ํšจ๊ณผ๋ฅผ ์‚ฌ์ „์— ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•œ๋‹ค.

6. ์ฐธ๊ณ  ๋ฌธํ—Œ

  1. ์‹ ์ •๊ต, ๊น€๊ทœํ•œ, ํŽธ์ข…๊ทผ (2004). ์ธ๊ณต๋ฆฌํ”„์˜ ์šฉ์Šน๋ฅ˜ ๋ฐœ์ƒํšจ๊ณผ์— ๊ด€ํ•œ ์—ฐ๊ตฌ, ๋Œ€ํ•œํ† ๋ชฉํ•™ํšŒ ์ •๊ธฐํ•™์ˆ ๋Œ€ํšŒ๋…ผ๋ฌธ์ง‘, 5548-5551.
  2. ํ•ด์–‘์ˆ˜์‚ฐ๋ถ€ (2005). ์ธ๊ณต์šฉ์Šน๋ฅ˜๋ฅผ ์ด์šฉํ•œ ์–ด์žฅํ™˜๊ฒฝ ๊ฐœ์„  ์—ฐ๊ตฌ 1์ฐจ๋…„๋„ ๋ณด๊ณ ์„œ.
  3. ํ•ด์–‘์ˆ˜์‚ฐ๋ถ€ (2006). ์ธ๊ณต์šฉ์Šน๋ฅ˜๋ฅผ ์ด์šฉํ•œ ์–ด์žฅํ™˜๊ฒฝ ๊ฐœ์„  ์—ฐ๊ตฌ 2์ฐจ๋…„๋„ ๋ณด๊ณ ์„œ.
  4. ํ•ด์–‘์ˆ˜์‚ฐ๋ถ€ (2007). ์ธ๊ณต์šฉ์Šน๋ฅ˜๋ฅผ ์ด์šฉํ•œ ์–ด์žฅํ™˜๊ฒฝ ๊ฐœ์„  ์—ฐ๊ตฌ 3์ฐจ๋…„๋„ ๋ณด๊ณ ์„œ.
  5. ้‡‘ๅท็ฒพไธ€, ้ˆดๆœจ้”้›„ (2001). ๆฒ–ๅˆๅŸŸใซใŠใ‘ใ‚‹ๆผๅ ด้€ ๆˆใฎ่ชฒ้กŒ, ๆฐด็”ฃๅทฅๅญธ้—œไฟ‚่ฉฆ้ฉ—็ก็ฉถๆŽจ้€ฒๆœƒ่ญฐๆฐด็”ฃๅŸบ็›ค้ƒจๆœƒๅ ฑๅ‘Šๆ›ธ, ๆฐด็”ฃๅทฅๅญธ็ก็ฉถๆ‰€, 23-41.
  6. ๆญฆ็”ฐ็œžๅ…ธ, ๅทฆใ‚ฟๆœจๆด‹ไน‹ (2006). ไบบๅทฅๆตทๅบ•ๅฑฑ่„ˆๆผๅ ด้€ ๆˆ็พ็‹€่ชฒ้กŒ, ๅ…จๅœ‹ๆผๆธฏๆผๅ ดๆ•ดๅ‚™ๆŠ€่ก“็ก็ฉถ็™ผ่กจๆœƒ่ฌ›ๆผ”้›†, 5, 105-120.
  7. ไธญๅณถๆ•ๅ…‰ (2002). ๆตทๆด‹ๆทฑๅฑคๆฐดใฎๅˆฉ็”จ, ็ถ ๆ›ธๆˆฟ.
Fig. 2. CWP chamber

๋…ผ๋ฌธ ์š”์•ฝ: FLOW-3D ๋ชจํ˜•์„ ์ด์šฉํ•œ ์ˆœํ™˜์ˆ˜์ทจ์ˆ˜ํŽŒํ”„์žฅ ๋‚ด ํ๋ฆ„ํ˜„์ƒ ์—ฐ๊ตฌ

FLOW-3D ๋ชจ๋ธ์„ ์ด์šฉํ•œ ์ˆœํ™˜์ˆ˜์ทจ์ˆ˜ํŽŒํ”„์žฅ ๋‚ด ํ๋ฆ„ ํ˜„์ƒ ์—ฐ๊ตฌ

Fig. 2. CWP chamber
Fig. 2. CWP chamber

1. ์„œ๋ก 

  • ์ธ๋„๋„ค์‹œ์•„๋Š” ์ „๋ ฅ ๊ณต๊ธ‰์ด ๋ถ€์กฑํ•˜์—ฌ ํ™”๋ ฅ๋ฐœ์ „์†Œ ๊ฑด์„ค์ด ์ฆ๊ฐ€ํ•˜๋Š” ์ถ”์„ธ์ž„.
  • ํ™”๋ ฅ๋ฐœ์ „์†Œ์˜ ์•ˆ์ •์  ์šด์˜์„ ์œ„ํ•ด ์ˆœํ™˜์ˆ˜์ทจ์ˆ˜ํŽŒํ”„์žฅ(CWP Chamber)์˜ ์„ค๊ณ„๊ฐ€ ํ•„์ˆ˜์ ์ž„.
  • ANSI(1998) ์„ค๊ณ„๊ธฐ์ค€์— ๋”ฐ๋ฅด๋ฉด ํ™•์‚ฐ๊ฐ(Spreading Angle)์€ 20ยฐ ์ด๋‚ด์—ฌ์•ผ ํ•˜๋‚˜, ํ˜„์žฅ ์กฐ๊ฑด์ƒ ์ด๋ฅผ ๋งŒ์กฑํ•  ์ˆ˜ ์—†๋Š” ๊ฒฝ์šฐ๊ฐ€ ์กด์žฌํ•จ.
  • ๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•œ 3D ์ˆ˜์น˜ํ•ด์„์„ ์ˆ˜ํ–‰ํ•˜์—ฌ, ์•ˆ์ •์ ์ธ ์œ ๋™ ์กฐ๊ฑด์„ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ์ ์˜ ์„ค๊ณ„๋ฅผ ๊ฒ€ํ† ํ•˜๋Š” ๊ฒƒ์ด ๋ชฉ์ ์ž„.

2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

FLOW-3D ๊ธฐ๋ฐ˜ CFD ๋ชจ๋ธ๋ง

  • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
  • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ์œ ๋™ ํ•ด์„ ์ˆ˜ํ–‰.
  • FAVOR(Fractional Area/Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ๊ตฌ์กฐ๋ฌผ ํ˜•์ƒ์„ ์ •ํ™•ํ•˜๊ฒŒ ๋ฐ˜์˜.
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด:
    • ์œ ์ž…๋ถ€: ๋ถ€ํ”ผ ์œ ๋Ÿ‰(Volume flow rate) ์กฐ๊ฑด ์ ์šฉ.
    • ์œ ์ถœ๋ถ€: ์ž์œ  ๋ฐฐ์ถœ(Outflow) ์กฐ๊ฑด ์ ์šฉ.
    • ๋ฒฝ๋ฉด: No-slip ์กฐ๊ฑด ์ ์šฉ.

์ˆ˜์น˜ ๋ชจ๋ธ ๊ฒ€์ฆ

  • Rodi(1997)์˜ ์‚ฌ๊ฐํ˜• ๊ตฌ์กฐ๋ฌผ ์ฃผ์œ„ ํ๋ฆ„ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ ๊ฒ€์ฆ ์ˆ˜ํ–‰.
  • ์‹คํ—˜๊ณผ์˜ ๋น„๊ต ๊ฒฐ๊ณผ, ์ข…๋ฐฉํ–ฅ ์œ ์† ๋ถ„ํฌ๊ฐ€ ์ž˜ ์ผ์น˜ํ•จ์„ ํ™•์ธํ•จ.

3. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ

์ˆœํ™˜์ˆ˜์ทจ์ˆ˜ํŽŒํ”„์žฅ ๋‚ด ํ๋ฆ„ ๋ถ„์„

  • ์œ ์ž… ์œ ์†: 1.5 m/s ~ 2.5 m/s ๋ฒ”์œ„์—์„œ ๋ณ€ํ™”.
  • ๋ฐฐํ”Œ(Baffle) ์ ์šฉ ์‹œ ์œ ์† ์ €๊ฐ ๋ฐ ์œ ๋™ ๊ท ๋“ฑํ™” ํšจ๊ณผ ํ™•์ธ.
  • ๋ฐฐํ”Œ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ถ„๋ฆฌ ํ๋ฆ„ ๊ฐ๋„๋Š” ์•ฝ 15ยฐ ~ 20ยฐ์ด๋ฉฐ, ์ด๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ํ•˜๋ฅ˜์— ๋ฐฐํ”Œ์„ ๋ฐฐ์น˜ํ•จ์œผ๋กœ์จ ์„ค๊ณ„ ์œ ์†(0.5 m/s ์ดํ•˜)์„ ๋งŒ์กฑ์‹œํ‚ด.

4. ๊ฒฐ๋ก  ๋ฐ ์ œ์•ˆ

๊ฒฐ๋ก 

  • FLOW-3D๋ฅผ ์ด์šฉํ•œ ์ˆ˜์น˜ ๋ชจ๋ธ์ด ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋†’์€ ์‹ ๋ขฐ๋„๋ฅผ ๋ณด์ด๋ฉฐ, ์•ˆ์ •์ ์ธ ์œ ๋™ ์กฐ๊ฑด์„ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ์œ ์šฉํ•จ.
  • ๋ฐฐํ”Œ์„ ์ ์šฉํ•œ ์„ค๊ณ„๋ฅผ ํ†ตํ•ด ์œ ์†์„ ํšจ๊ณผ์ ์œผ๋กœ ๊ฐ์†Œ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ.
  • ์ˆœํ™˜์ˆ˜์ทจ์ˆ˜ํŽŒํ”„์žฅ ์„ค๊ณ„ ์‹œ, ๋ฐฐํ”Œ์˜ ๋ฐฐ์น˜์™€ ํฌ๊ธฐ๋ฅผ ๊ณ ๋ คํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•จ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • ๋‹ค์–‘ํ•œ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ ๋ฐฐํ”Œ ํ˜•์ƒ ๋ฐ ๋ฐฐ์—ด ์ตœ์ ํ™” ์—ฐ๊ตฌ.
  • LES(Large Eddy Simulation) ๋ชจ๋ธ๊ณผ์˜ ๋น„๊ต ์—ฐ๊ตฌ ์ˆ˜ํ–‰.
  • ์‹ค์ œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ๊ฒ€์ฆ ์—ฐ๊ตฌ ์ง„ํ–‰.

5. ์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ˆœํ™˜์ˆ˜์ทจ์ˆ˜ํŽŒํ”„์žฅ์˜ ์œ ๋™ ๋ฐ ๋‚œ๋ฅ˜ ํŠน์„ฑ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ตœ์ ์˜ ์„ค๊ณ„๋ฅผ ๋„์ถœํ•˜์—ฌ ํ™”๋ ฅ๋ฐœ์ „์†Œ์˜ ์•ˆ์ •์  ์šด์˜์„ ์ง€์›ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์ œ๊ณตํ•œ๋‹ค.

Fig. 2. CWP chamber
Fig. 2. CWP chamber
Fig. 8. Velocity development around column (unit : m/s)
Fig. 8. Velocity development around column (unit : m/s)

6. ์ฐธ๊ณ  ๋ฌธํ—Œ

  1. J. P. Tullis, โ€œModeling in Design of Pumping Pitsโ€, Journal of the Hydraulic Division, Vol. 105 (HY9), pp. 1053-1063, 1979.
  2. C. E. Sweeney, R. A. Elder, D. Hay, โ€œPump Sump Design Experience: Summaryโ€, Journal of the Hydraulic Division, Vol. 108 (HY3), pp. 361-377, 1982.
  3. G. E. Hecker, โ€œScale Effects in Modeling Vorticesโ€, Symposium on Scale Effects in Modeling Hydraulic Structures, International Association for Hydraulic Research, 1984.
  4. ANSI, Pump Intake Design, New Jersey, USA, 1998. Available From: https://webstore.ansi.org/standards/hi/ansihi1998
  5. KEPRI, Design of Structure of the Thermal and Nuclear Power Plant, 1997.
  6. Y. K. Yi, S. h. Cheong, C. W. Kim, โ€œHydraulic and Numerical Model Experiments of Flows in Circulation Water Pump Chambersโ€, Journal of KWRA, Vol. 38, No. 8, pp. 631-643, 2005. DOI: http://dx.doi.org/10.3741/JKWRA.2005.38.8.631
  7. Daewoo E&C, Benghazi North Combined Cycle Power Plant, Libya โ€“ Hydraulic Calculation for C.W System, 2004.
  8. Hyundai E&C, Tripoli West 4ร—350 MW Power Plant Project โ€“ Calculation for Circ. Water Intake Structure, 2014.
  9. Hyundai E&C, Kalselteng 2 CFSPP (2ร—100 MW), 2018.
  10. Daelim, Pagbilao 420 MW Unit 3 Coal-Fired Power Project โ€“ Hydraulic Analysis for Intake and Discharge System, 2015.
  11. Hyundai E&C, Talimarjan Thermal Power Plant Expansion Project, 2014.
  12. Posco E&C, Hassyan 1 Clean Coal Project, 2015.
  13. Hyundai E&C, Mirfa Independent Water and Power Project โ€“ Hydraulic Calculation for Cooling Water System, 2015.
  14. Kepco E&C, Gangneung Anin Thermal Power Plant Units 1 & 2 (1,040 MWร—2), 2016.
  15. Samsung C&T, S-Oil Distillation Recovered Heat Generation Project, 2015.
  16. Korea Western Power, The 2nd PyeongTaek Combined Cycle Power Plant 950 MWร—1, 2013.
  17. Y. K. Yi, S. h. Cheong, C. W. Kim, J. G. Kim. โ€œHydraulic and Numerical Model Experiments of Circulation Water Intake for Boryeong Thermal Power Plant No. 7 and No. 8โ€, Journal of KSCE, Vol. 26, No. 5B, pp. 459-467, 2006.
  18. B. J. Park, H. K. Song, Y. H. Hur, S. W. Kang, Y. G. Park, โ€œEstimation of Hydraulic Status on Intake Structure at Gunsan Combined Cycle Power Plant by Numerical and Physical Model Testโ€, Proceedings of KWRA, pp. 1884-1888, 2009.
  19. Flow Science. Flow-3D Userโ€™s Manual. Los Alamos, NM, USA, 2016.
  20. W. Rodi, โ€œComparison of LES and RANS calculations of the flow around bluff bodiesโ€, Journal of Wind Engineering and Industrial Aerodynamics, Vol. 69, No. 71, pp. 55-75, 1997. DOI: https://doi.org/10.1016/S0167-6105(97)00147-5
Fig.3. Wave profile for probe distance at 46m

Numerical Modeling for Wave Attenuation by Coastal Vegetation using FLOW-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ํ•ด์•ˆ ์‹์ƒ์˜ ํŒŒ๋ž‘ ๊ฐ์‡ ์— ๋Œ€ํ•œ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง

1. ์„œ๋ก 

  • ํ•ด์•ˆ ์‹์ƒ(์˜ˆ: ํ•ด์ดˆ)์€ ํŒŒ๋ž‘ ์ €๊ฐ, ํ† ์–‘ ์นจ์‹ ๋ฐฉ์ง€ ๋ฐ ํ•ด์ € ์•ˆ์ •ํ™” ๋“ฑ ๋‹ค์–‘ํ•œ ์ƒํƒœ์  ๊ธฐ๋Šฅ์„ ์ˆ˜ํ–‰ํ•จ.
  • ๋ณธ ์—ฐ๊ตฌ๋Š” ์นจ์ˆ˜๋œ ์‹์ƒ์ด ํŒŒ๋ž‘ ๊ฐ์‡  ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜๋Š” ํšจ์œจ์„ฑ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•จ.
  • FLOW-3Dยฎ๋ฅผ ์ด์šฉํ•˜์—ฌ ํŒŒ๋ž‘-์‹์ƒ ์ƒํ˜ธ์ž‘์šฉ์„ 3์ฐจ์› ๋ชจ๋ธ๋งํ•˜๊ณ , ๊ธฐ์กด ์‹คํ—˜ ๋ฐ์ดํ„ฐ(Manca et al., 2012)์™€ ๋น„๊ตํ•˜์—ฌ ๊ฒ€์ฆํ•จ.

2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

FLOW-3D ๊ธฐ๋ฐ˜ CFD ๋ชจ๋ธ๋ง

  • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
  • Reynolds-Averaged Navier-Stokes(RANS) ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ๋™ ํ•ด์„ ์ˆ˜ํ–‰.
  • ๋‚œ๋ฅ˜ ๋ชจ๋ธ: RNG k-ฮต ๋ชจ๋ธ ์ ์šฉ.
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด:
    • ์œ ์ž…: ์œ ๋Ÿ‰ ์กฐ๊ฑด(volume flow rate).
    • ์œ ์ถœ: ์ž์œ  ๋ฐฐ์ถœ(outflow) ์กฐ๊ฑด.
    • ๋ฒฝ๋ฉด: No-slip ์กฐ๊ฑด ์ ์šฉ.
  • ์‹์ƒ ํŠน์„ฑ ๋ณ€์ˆ˜:
    • ํ•ด์ดˆ ์ดˆ์žฅ์˜ ๊ธธ์ด(L), ๊ฐœ์ฒด ๊ฐ„ ๊ฐ„๊ฒฉ(SP), ๋ฐ€๋„(N), ์‹๋ฌผ ๋†’์ด(hs), ์‹๋ฌผ ๋‘๊ป˜(t) ๋ฐ˜์˜.
  • ํŒŒ๋ž‘ ํŠน์„ฑ ๋ณ€์ˆ˜:
    • ํŒŒ๊ณ (H), ์ˆ˜์‹ฌ(h), ์ฃผ๊ธฐ(T) ์ ์šฉ.

3. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ

ํŒŒ๋ž‘ ๊ฐ์‡  ํŠน์„ฑ ๋ถ„์„

  • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ(Manca et al., 2012) ๋น„๊ต ์‹œ ์˜ค์ฐจ์œจ 10% ์ด๋‚ด๋กœ ํ™•์ธ๋จ.
  • ํŒŒ๋ž‘ ๊ฐ์‡ ์œจ(H/Hโ‚€)์€ ์‹์ƒ ๋ฐ€๋„๊ฐ€ ๋†’์„์ˆ˜๋ก ์ฆ๊ฐ€.
  • ์„œ๋ธŒ๋จธ์ „์Šค ๋น„์œจ(submergence ratio, hs/h)์ด 0.32์ผ ๋•Œ ์‹์ƒ ๋ฐ€๋„(N=180 stems/mยฒ, 360 stems/mยฒ) ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ๊ฐ์‡ ์œจ ์ฐจ์ด 2% ๋‚ด์™ธ.
  • ํŒŒ๋ž‘ ๊ฐ์‡ ๋Š” ์ค‘๊ฐ„ ๋ฐ€๋„์˜ ์‹์ƒ์—์„œ ๊ฐ€์žฅ ํšจ๊ณผ์ ์ด๋ฉฐ, ๋„ˆ๋ฌด ๋†’์€ ๋ฐ€๋„์—์„œ๋Š” ์œ ์ฒด ํ๋ฆ„์ด ์ฐจ๋‹จ๋˜์–ด ๊ฐ์‡  ํšจ๊ณผ๊ฐ€ ๊ฐ์†Œํ•จ.

4. ๊ฒฐ๋ก  ๋ฐ ์ œ์•ˆ

๊ฒฐ๋ก 

  • FLOW-3D ๋ชจ๋ธ์„ ํ™œ์šฉํ•œ ํ•ด์•ˆ ์‹์ƒ์˜ ํŒŒ๋ž‘ ๊ฐ์‡  ๋ถ„์„์ด ๋†’์€ ์‹ ๋ขฐ์„ฑ์„ ๊ฐ€์ง.
  • ํŒŒ๋ž‘ ๊ฐ์‡ ์œจ์€ ์‹์ƒ ๋ฐ€๋„ ๋ฐ ์‹์ƒ ์ดˆ์žฅ์— ์˜ํ–ฅ์„ ๋ฐ›์œผ๋ฉฐ, ์ ์ ˆํ•œ ๋ฐ€๋„ ์กฐ์ ˆ์ด ์ค‘์š”ํ•จ.
  • CFD ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•œ ๋ชจ๋ธ๋ง์ด ์ง€์† ๊ฐ€๋Šฅํ•œ ์—ฐ์•ˆ ๋ณดํ˜ธ ์„ค๊ณ„์— ์œ ์šฉํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Œ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • ๋‹ค์–‘ํ•œ ํŒŒ๋ž‘ ์กฐ๊ฑด์—์„œ ์ถ”๊ฐ€์ ์ธ ์‹คํ—˜ ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ˆ˜ํ–‰.
  • LES(Large Eddy Simulation) ๋‚œ๋ฅ˜ ๋ชจ๋ธ๊ณผ ๋น„๊ต ์—ฐ๊ตฌ.
  • ์‹ค์ œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ๋ชจ๋ธ ๊ฒ€์ฆ.

5. ์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ํ•ด์•ˆ ์‹์ƒ์˜ ํŒŒ๋ž‘ ๊ฐ์‡  ํšจ๊ณผ๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์—ฐ์•ˆ ๋ณดํ˜ธ ๋ฐ ์ง€์† ๊ฐ€๋Šฅํ•œ ํ•ด์–‘ ํ™˜๊ฒฝ ์„ค๊ณ„์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•œ๋‹ค.

6. ์ฐธ๊ณ  ๋ฌธํ—Œ

  1. Suzuki T, Zijlema M, Burger B, Meijer MC, Narayan S. Wave dissipation by vegetation with layer schematization in SWAN. Coast Eng [Internet]. 2012;59(1):64โ€“71. Available from: http://dx.doi.org/10.1016/j.coastaleng.2011.07.006
  2. Knutson PL, Brochu RA, See WN. 1982. Wave damping in Spartina alterniflora marshes. 1982;(1978):87โ€“104.
  3. Mรถller I, Spencer T, French JR, Leggett DJ, Dixon M. Wave transformation over saltmarshes: a field and numerical modelling study from North Norfolk, England. Estuar Coast Shelf Sci. 1999;49:411โ€“26.
  4. Bradley K, Houser C. Relative velocity of seagrass blades: Implications for wave attenuation in low-energy environments. J Geophys Res Earth Surf. 2009;114(1):1โ€“13.
  5. Fonseca MS, Cahalan JA. A preliminary evaluation of wave attenuation by four species of seagrass. Estuar Coast Shelf Sci. 1992;35(6):565โ€“76.
  6. Augustin LN, Irish JL, Lynett P. Laboratory and numerical studies of wave damping by emergent and near-emergent wetland vegetation. Coast Eng [Internet]. 2009;56(3):332โ€“40. Available from: http://dx.doi.org/10.1016/j.coastaleng.2008.09.004
  7. Stratigaki V, Manca E, Prinos P, Losada IJ, Lara JL, Sclavo M, et al. Large-scale experiments on wave propagation over Posidonia oceanica. J Hydraul Res. 2011;49(SUPPL.1):31โ€“43.
  8. Anderson ME, Smith JM. Wave attenuation by flexible, idealized salt marsh vegetation. Coast Eng [Internet]. 2014;83:82โ€“92. Available from: http://dx.doi.org/10.1016/j.coastaleng.2013.10.004
  9. YIPING L, ANIM DO, WANG Y, TANG C, DU W, LIXIAO N, et al. Laboratory Simulations of Wave Attenuation By an Emergent Vegetation of Artificial Phragmites Australis: an Experimental Study of an Open-Channel Wave Flume. J Environ Eng Landsc Manag [Internet]. 2015;23(4):251โ€“66. Available from: https://journals.vgtu.lt/index.php/JEELM/article/view/1398
  10. Dalrymple RA, Kirby JT, Hwang PA. Wave Diffraction Due to Areas of Energy Dissipation. J Waterw Port, Coastal, Ocean Eng. 1984;110(1):67โ€“79.
  11. FORMULATION z Wave Gages. 1993;119(1):30โ€“48.
  12. Maza M, Lara JL, Losada IJ. A coupled model of submerged vegetation under oscillatory flow using Navier-Stokes equations. Coast Eng [Internet]. 2013;80:16โ€“34. Available from: http://dx.doi.org/10.1016/j.coastaleng.2013.04.009
  13. Mendez FJ, Losada IJ. An empirical model to estimate the propagation of random breaking and nonbreaking waves over vegetation fields. Coast Eng. 2004;51(2):103โ€“18.
  14. Zink JM, Jennings GD. Channel roughness in North Carolina mountain streams. J Am Water Resour Assoc. 2014;50(5):1354โ€“8.
  15. Lara JL, Maza M, Ondiviela B, Trinogga J, Losada IJ, Bouma TJ, et al. Large-scale 3-D experiments of wave and current interaction with real vegetation. Part 1: Guidelines for physical modeling. Coast Eng [Internet]. 2016;107:70โ€“83. Available from: http://dx.doi.org/10.1016/j.coastaleng.2015.09.010
  16. Christensen ED, Deigaard R. Large eddy simulation of breaking waves. Coast Eng. 2001;42(1):53โ€“86.
  17. Choi BH, Pelinovsky E, Kim DC, Didenkulova I, Woo S. Nonlinear Processes in Geophysics: Two- and three-dimensional computation of solitary wave runup on non-plane beach. Nonlin Process Geophys. 2008;15(2006):489โ€“502.
  18. CHEN X bin, ZHAN J min, CHEN Q. Numerical simulations of 2-D floating body driven by regular waves. J Hydrodyn [Internet]. 2016;28(5):821โ€“931. Available from: http://dx.doi.org/10.1016/S1001-6058(16)60682-0
  19. King AT, Tinoco RO, Cowen EA. A k-ฮต turbulence model based on the scales of vertical shear and stem wakes valid for emergent and submerged vegetated flows. J Fluid Mech. 2012;701:1โ€“39.
  20. Seagrasses of India. Jagtap, T.G.; Komarpant, D.S.; Rodrigues, R. Citation: World Atlas of Seagrasses, eds. Green, E.P.; Short, F.T. 101-108pp. 2003.
  21. Manca E, Cรกceres I, Alsina JM, Stratigaki V, Townend I, Amos CL. Wave energy and wave-induced flow reduction by full-scale model Posidonia oceanica seagrass. Cont Shelf Res. 2012;50โ€“51:100โ€“16.
  22. Zhao Q, Armfield S, Tanimoto K. Numerical simulation of breaking waves by a multi-scale turbulence model. Coast Eng. 2004;51(1):53โ€“80.
  23. Nepf H, Ghisalberti M. Flow and transport in channels with submerged vegetation. Acta Geophys. 2008;56(3):753โ€“77.
  24. Raupach MR, Shaw RH. Averaging procedures for flow within vegetation canopies. Boundary-Layer Meteorol. 1982;22(1):79โ€“90.
  25. Folkard AM. Hydrodynamics of model Posidonia oceanica patches in shallow water. Limnol Oceanogr. 2005;50(5):1592โ€“600.

Fig. 8 Computation of (TKE) in horizontal sections of basin at end time of simulation

The Numerical Investigation on Vortex Flow Behavior Using FLOW-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ์™€๋ฅ˜ ์œ ๋™ ๊ฑฐ๋™์— ๋Œ€ํ•œ ์ˆ˜์น˜์  ์—ฐ๊ตฌ

1. ์„œ๋ก 

  • ์™€๋ฅ˜ ์นจ์ „์ง€(Vortex Settling Basin, VSB)๋Š” ์œ ๋™์˜ ์™€๋ฅ˜ ํ˜„์ƒ์„ ์ด์šฉํ•˜์—ฌ ์นจ์ „๋ฌผ์„ ๋ถ„๋ฆฌํ•˜๋Š” ์žฅ์น˜๋กœ, ๊ธฐ์กด ์นจ์ „์ง€๋ณด๋‹ค ๋น„์šฉ์ด ์ ๊ฒŒ ๋“ค๊ณ  ๊ณต๊ฐ„ ํ™œ์šฉ๋„๊ฐ€ ๋†’์Œ.
  • VSB ๋‚ด์˜ ์œ ๋™์€ ๊ฐ•์ œ ์™€๋ฅ˜(Forced Vortex)์™€ ์ž์œ  ์™€๋ฅ˜(Free Vortex)๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ์ด๋“ค์˜ ํ˜•์„ฑ๊ณผ ๊ฑฐ๋™์„ ์ •ํ™•ํžˆ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•จ.
  • ๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ์ด์šฉํ•˜์—ฌ ์™€๋ฅ˜ ์นจ์ „์ง€ ๋‚ด๋ถ€์˜ 3์ฐจ์› ๋‚œ๋ฅ˜ ์œ ๋™์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•จ.

2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

์‹คํ—˜ ๋ฐ ์ˆ˜์น˜ ๋ชจ๋ธ ๊ฐœ์š”

  • ์‹คํ—˜ ์žฅ์น˜
    • ์ง๊ฒฝ 0.7m, ๊นŠ์ด 1.5m์˜ ์›ํ˜• ์™€๋ฅ˜ ์นจ์ „์ง€ ์‚ฌ์šฉ.
    • ์ค‘์•™ ๋ฐฐ์ถœ๊ตฌ(Flush Pipe) ์ง๊ฒฝ: 0.075m.
    • ์ž…๊ตฌ ๋ฐ ๋ฐฐ์ถœ๊ตฌ ๋ฐฐ์น˜๋Š” Paul et al.(1991)์˜ ์„ค๊ณ„ ๊ถŒ์žฅ์‚ฌํ•ญ์„ ๋”ฐ๋ฆ„.
  • FLOW-3D ๊ธฐ๋ฐ˜ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
    • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํ•ด์„ ์ˆ˜ํ–‰.
    • ๊ฒฉ์ž(Grid) ์„ค์ •: ์ค‘์‹ฌ๋ถ€ 0.5cm, ๋ฒฝ๋ฉด ์ฃผ๋ณ€ 1cm, ๋‚˜๋จธ์ง€ ์˜์—ญ 2cm.
    • ๊ฒฝ๊ณ„ ์กฐ๊ฑด:
      • ์œ ์ž…: ๋ถ€ํ”ผ ์œ ๋Ÿ‰ ์กฐ๊ฑด(volume flow rate).
      • ์œ ์ถœ: ์ž์œ  ๋ฐฐ์ถœ(outflow) ๊ฒฝ๊ณ„ ์กฐ๊ฑด.
      • ๋ฒฝ๋ฉด: No-slip ์กฐ๊ฑด ์ ์šฉ.

3. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ

์œ ๋™ ํŒจํ„ด ๋ฐ ์™€๋ฅ˜ ํ˜•์„ฑ

  • ๊ฐ•์ œ ์™€๋ฅ˜์™€ ์ž์œ  ์™€๋ฅ˜๊ฐ€ ๋™์‹œ์— ์กด์žฌํ•˜๋ฉฐ, ์‹œ๊ฐ„์ด ์ง€๋‚˜๋ฉด์„œ ์™€๋ฅ˜ ๊ฐ•๋„๊ฐ€ ๋ณ€ํ™”ํ•จ.
  • ์ค‘์•™๋ถ€์—์„œ ๊ฐ•ํ•œ ์™€๋ฅ˜ ์ฝ”์–ด ํ˜•์„ฑ ํ›„, Overflow Jet์— ์˜ํ•ด ๋ณ€ํ˜•๋˜๋Š” ํ˜„์ƒ ํ™•์ธ.
  • ์™€๋ฅ˜ ์ค‘์‹ฌ(Core)์ด ์ดˆ๊ธฐ์—๋Š” ์œ ์ง€๋˜๋‹ค๊ฐ€ ์‹œ๊ฐ„์ด ์ง€๋‚˜๋ฉด์„œ ์ ์ฐจ ์†Œ๋ฉธ๋˜๋Š” ํ˜„์ƒ ๊ด€์ฐฐ.

๋‚œ๋ฅ˜ ๊ฐ•๋„ ๋ฐ ์—๋„ˆ์ง€ ํ•ด์„

  • ์นจ์ „์ง€ ์ค‘์•™๋ถ€์—์„œ ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ๊ฐ€์žฅ ๋†’๊ณ , ๋ฒฝ๋ฉด์—์„œ๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์Œ.
  • ์‹œ๊ฐ„์ด ๊ฒฝ๊ณผํ• ์ˆ˜๋ก ์—๋„ˆ์ง€๊ฐ€ ๊ฐ์†Œํ•˜๋ฉฐ, Overflow Jet์ด ๋‚œ๋ฅ˜ ๊ฐ•๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ์—ญํ• ์„ ํ•จ.
  • ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ–ˆ์„ ๋•Œ, ์ˆ˜์น˜ ๋ชจ๋ธ์ด ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋ณด์ด๋ฉฐ, ์ตœ๋Œ€ 5% ์ด๋‚ด์˜ ์˜ค์ฐจ์œจ ํ™•์ธ.

4. ๊ฒฐ๋ก  ๋ฐ ์ œ์•ˆ

๊ฒฐ๋ก 

  • FLOW-3D ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋†’์€ ์‹ ๋ขฐ๋„๋กœ ์ผ์น˜ํ•˜๋ฉฐ, ์™€๋ฅ˜ ์นจ์ „์ง€์˜ ์œ ๋™ ๊ฑฐ๋™์„ ์ •๋ฐ€ํ•˜๊ฒŒ ๋ถ„์„ํ•  ์ˆ˜ ์žˆ์Œ.
  • ์ค‘์•™๋ถ€์—์„œ ํ˜•์„ฑ๋œ ๊ฐ•ํ•œ ์™€๋ฅ˜๊ฐ€ ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ์†Œ๋ฉธ๋˜๋ฉฐ, Overflow Jet์ด ์œ ๋™ ํŒจํ„ด์„ ํฌ๊ฒŒ ๋ณ€ํ™”์‹œํ‚ด.
  • ๊ธฐ์กด ์ด๋ก  ๋ชจ๋ธ(Rankine Combined Vortex)๊ณผ ๋น„๊ต ์‹œ, ์‹ค์ œ ์œ ๋™์—์„œ๋Š” ๋‚œ๋ฅ˜ ํšจ๊ณผ๋กœ ์ธํ•ด ์™€๋ฅ˜ ์ฝ”์–ด๊ฐ€ ๋ณ€ํ˜•๋จ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • ๋‹ค์–‘ํ•œ ์ž…๊ตฌ ๋ฐ ๋ฐฐ์ถœ๊ตฌ ๋ฐฐ์น˜ ์กฐ๊ฑด์—์„œ์˜ ์ถ”๊ฐ€ ์‹คํ—˜ ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ˆ˜ํ–‰.
  • LES(Large Eddy Simulation) ๋ชจ๋ธ๊ณผ์˜ ๋น„๊ต ์—ฐ๊ตฌ.
  • ์‹ค์ œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ๊ฒ€์ฆ ์—ฐ๊ตฌ ์ง„ํ–‰.

5. ์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์™€๋ฅ˜ ์นจ์ „์ง€์˜ ์œ ๋™ ๋ฐ ๋‚œ๋ฅ˜ ํŠน์„ฑ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์ˆ˜์ฒ˜๋ฆฌ ์‹œ์Šคํ…œ ๋ฐ ํ•˜์ฒœ ๊ณตํ•™ ๋ถ„์•ผ์—์„œ VSB ์„ค๊ณ„ ์ตœ์ ํ™”์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•œ๋‹ค.

6. ์ฐธ๊ณ  ๋ฌธํ—Œ

  1. Paul, T.C., S.K. Sayal, V.S. Sakhanja and G.S. Dhillon, 1991. Vortex settling chamber design considerations. J. Hyd. Engng., 117(2): 172-189.
  2. Mashauri, D.A., 1986. Modeling of vortex settling chamber for primary clarification of water. PhD thesis, Tampere University of Technology, Tampere, Finland, pp: 217.
  3. Salakhov, F.S., 1975. Rotational design and methods of hydraulic calculation of load-controlling water intake structures for Mountain Rivers. Proceedings of Ninth Congress of the ICID, Moscow, Soviet Union, pp: 151-161.
  4. Cecen, K., 1977. Hydraulic criteria of settling basins for water treatment, hydro-power and irrigation. Proc. 17th Congress of the Int. Assoc, of Hydr. Res., BadenBaden, West Germany, pp: 275-294.
  5. Cecen, K. and N. Akmandor, 1973. Circular settling basins with horizontal floor. MAG Report No 183, TETAK, Ankara, Turkey.
  6. Cecen, K. and M. Bayazit, 1975. Some laboratory studies of sediment controlling structures calculation of load-controlling water intake structures for Mountain Rivers. Proceedings of the Ninth Congress of the ICID, Moscow, Soviet Union, pp: 107-110.
  7. Mashauri, D.A., 1986. Modeling of vortex settling chamber for primary clarification of water, PhD thesis, Tampere University of Technology, Tampere, Finland, pp: 217.
  8. Anwar, H.O., 1969. Turbulent flow in a vortex. J. Hydr. Res., 7(1): 1-29.
  9. http://www.flow3d.com/resources/flow3d-technical-papers-1.html.
  10. Chapokpour, J. and J. Farhoudi, 2011. Sediment extraction and flow structure of vortex settling basin. WASJ., 14(5): 782-793.
  11. Isfahani, A.H.G. and J.M. Brethour, 2009. On the Implementation of Two-equation Turbulence Models in FLOW-3D, Flow Science, FSI-09-TN86.
Fig. 8. Three-dimensional modeling of a serrated stepped spillway

Numerical Study of Energy Dissipation in Baffled Stepped Spillway Using Flow-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ๋ฐฐํ”Œํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์˜ ์—๋„ˆ์ง€ ์†Œ์‚ฐ์— ๋Œ€ํ•œ ์ˆ˜์น˜ ์—ฐ๊ตฌ

1. ์„œ๋ก 

  • ๋Œ ๊ฑด์„ค์€ ํšจ์œจ์ ์ธ ์ €์ˆ˜์ง€ ์กฐ์„ฑ, ์ €์žฅ ๋ฐ ์ตœ์  ํ™œ์šฉ์„ ๋ชฉํ‘œ๋กœ ํ•˜๋ฉฐ, ์ด์— ๋”ฐ๋ผ ์ˆ˜๋ฆฌํ•™์  ์„ค๊ณ„๊ฐ€ ์ค‘์š”ํ•จ.
  • ์—ฌ์ˆ˜๋กœ(spillway)๋Š” ๋Œ์˜ ๋ณด์กฐ ๊ตฌ์กฐ๋ฌผ๋กœ์„œ ์ดˆ๊ณผ ์œ ๋Ÿ‰์„ ์•ˆ์ „ํ•˜๊ฒŒ ํ•˜๋ฅ˜๋กœ ๋ฐฉ์ถœํ•˜๋Š” ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜๋ฉฐ, ์ด ๊ณผ์ •์—์„œ ์ž ์žฌ์  ์—๋„ˆ์ง€๋ฅผ ์šด๋™ ์—๋„ˆ์ง€๋กœ ๋ณ€ํ™˜ํ•˜์—ฌ ํ•˜๋ฅ˜๋ถ€ ์นจ์‹์„ ์ดˆ๋ž˜ํ•  ์ˆ˜ ์žˆ์Œ.
  • ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ(stepped spillway)๋Š” ์œ ์ž… ๊ณต๊ธฐ๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๊ณ  ํ๋ฆ„ ์†๋„๋ฅผ ์ค„์—ฌ ์šด๋™ ์—๋„ˆ์ง€ ์†Œ์‚ฐ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ํšจ๊ณผ๊ฐ€ ์žˆ์Œ.
  • ๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ์ด์šฉํ•œ ๋ฐฐํ”Œํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์˜ ์œ ๋™ ๋ฐ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ํŠน์„ฑ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•˜์—ฌ ์‹ ๋ขฐ์„ฑ์„ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•จ.

2. ์‹คํ—˜ ๋ชจ๋ธ

  • ์‹คํ—˜ ์žฅ์น˜ ๊ฐœ์š”:
    • ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ ๋ชจ๋ธ๊ณผ ๋ชจ๋ž˜ ๋ฐ”๋‹ฅ์„ ํฌํ•จํ•œ ์ˆ˜์กฐ๋กœ ๊ตฌ์„ฑ.
    • ๋‹ค์–‘ํ•œ ์œ ๋Ÿ‰๊ณผ ๊ฒฝ์‚ฌ ์กฐ๊ฑด์—์„œ ์‹คํ—˜ ์ˆ˜ํ–‰.
    • ๋ฐฐํ”Œ ๋ธ”๋ก(Block A~E)์€ ๊ฑฐ์นœ ํ‘œ๋ฉด์„ ๊ฐ€์ง€๋ฉฐ, ์ธ์ ‘ํ•œ ๋ธ”๋ก๊ณผ 90ยฐ ํšŒ์ „๋œ ํ˜•ํƒœ๋กœ ๋ฐฐ์น˜๋จ.
  • ๊ธฐ์กด ์—ฐ๊ตฌ(Kamyab Moghaddam et al.)์—์„œ ์‚ฌ์šฉ๋œ ์‹คํ—˜ ๋ฐฉ๋ฒ•๋ก ์„ ์ ์šฉํ•˜์—ฌ ๋ชจ๋ธ ๊ฒ€์ฆ ์ˆ˜ํ–‰.

3. ์ˆ˜์น˜ ๋ชจ๋ธ๋ง

  • FLOW-3D ๋ชจ๋ธ ์„ค์ •:
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
    • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํ•ด์„ ์ˆ˜ํ–‰.
    • FAVOR(Fractional Area/Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ํ˜•์ƒ์„ ํ•ด์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•จ.
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •:
    • ์œ ์ž…๋ถ€(X min): ๋ถ€ํ”ผ ์œ ๋Ÿ‰ ์กฐ๊ฑด(Volume flow rate) ์ ์šฉ.
    • ์œ ์ถœ๋ถ€(X max): ์ž์œ  ๋ฐฐ์ถœ(Outflow) ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •.
    • ๋ฒฝ๋ฉด(Y min, Y max): ๋Œ€์นญ ๊ฒฝ๊ณ„ ์กฐ๊ฑด(Symmetry) ์ ์šฉ.
    • ์ƒ๋‹จ(Z max) ๋ฐ ๋ฐ”๋‹ฅ(Z min): ๊ฐ๊ฐ ์ž์œ  ์ˆ˜๋ฉด ๋ฐ ๊ณ ์ฒด ๊ฒฝ๊ณ„ ์„ค์ •.

4. ๋ชจ๋ธ๋ง ๊ฒฐ๊ณผ

  • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹คํ—˜ ๋น„๊ต ๊ฒฐ๊ณผ:
    • ํ‰๊ท  ์ œ๊ณฑ๊ทผ ์˜ค์ฐจ(RMSE) = 0.02, ์ฆ‰ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋งค์šฐ ๋†’์€ ์ผ์น˜๋„ ํ™•์ธ.
    • ๋ฐฐํ”Œ ๋ธ”๋ก์ด ์œ ๋™ ๋‚œ๋ฅ˜๋ฅผ ์ฆ๊ฐ€์‹œ์ผœ ์ „์ฒด ์—๋„ˆ์ง€์˜ 77%๋ฅผ ์†Œ์‚ฐํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚จ.
  • ์ƒ๋Œ€์  ์—๋„ˆ์ง€ ์†Œ์‚ฐ์œจ(โˆ†E/Eโ‚€) ๋ถ„์„:
    • ์œ ๋Ÿ‰์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์—๋„ˆ์ง€ ์†Œ์‚ฐ์œจ์€ ๊ฐ์†Œํ•˜์ง€๋งŒ, ๋ฐฐํ”Œ ๋ธ”๋ก์ด ์—†๋Š” ๊ฒฝ์šฐ๋ณด๋‹ค ๋†’์€ ์†Œ์‚ฐ ํšจ๊ณผ ์œ ์ง€.
    • ์‹คํ—˜ ๋ฐ ์ˆ˜์น˜ ํ•ด์„ ๊ฒฐ๊ณผ์˜ ์—๋„ˆ์ง€ ์†Œ์‚ฐ์œจ ์ฐจ์ด๋Š” ์ตœ๋Œ€ 2% ์ด๋‚ด๋กœ ๋งค์šฐ ๋‚ฎ์Œ.

5. ๊ฒฐ๋ก  ๋ฐ ์ œ์•ˆ

๊ฒฐ๋ก 

  • ๋ฐฐํ”Œํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋Š” ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋ณด๋‹ค ๋†’์€ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ํšจ๊ณผ๋ฅผ ๊ฐ€์ง.
  • FLOW-3D ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋†’์€ ์‹ ๋ขฐ๋„๋กœ ์ผ์น˜ํ•˜๋ฉฐ, ์ˆ˜๋ฆฌํ•™์  ๊ฑฐ๋™ ๋ถ„์„์— ํšจ๊ณผ์ ์ž„.
  • ๋ฐฐํ”Œ ๋ธ”๋ก์˜ ๋ฐฐ์—ด๊ณผ ํ˜•์ƒ์ด ์œ ๋™ ๋‚œ๋ฅ˜ ๋ฐ ์—๋„ˆ์ง€ ์†Œ์‚ฐ์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นจ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • ์žฅ๊ธฐ์ ์ธ ์บ๋น„ํ…Œ์ด์…˜(cavitation) ๋ฐ ๊ตฌ์กฐ์  ์•ˆ์ „์„ฑ ๋ถ„์„ ํ•„์š”.
  • ์‹ค์ œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ถ”๊ฐ€์ ์ธ ์ตœ์  ์„ค๊ณ„ ์—ฐ๊ตฌ ์ง„ํ–‰.
  • ๋‹ค์–‘ํ•œ ๋ฐฐํ”Œ ๋ธ”๋ก ํ˜•์ƒ ๋ฐ ๋ฐฐ์น˜ ์กฐ๊ฑด์—์„œ์˜ ์ถ”๊ฐ€ ์‹คํ—˜ ์ˆ˜ํ–‰.

6. ์—ฐ๊ตฌ์˜ ์˜์˜

๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ฐฐํ”Œํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์˜ ์œ ๋™ ๋ฐ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ํŠน์„ฑ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ์‹คํ—˜์ ์œผ๋กœ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ํ–ฅํ›„ ์—ฌ์ˆ˜๋กœ ์„ค๊ณ„ ์ตœ์ ํ™” ๋ฐ ํ™์ˆ˜ ๋ฐฉ์ง€ ์ธํ”„๋ผ ๊ตฌ์ถ•์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•œ๋‹ค.

7. ์ฐธ๊ณ  ๋ฌธํ—Œ

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  3. C. T. Haan, B. J. Barfield, and J. C. Hayes, โ€œ4 – Open Channel Hydraulics,โ€ in Design Hydrology and Sedimentology for Small Catchments, San Diego: Academic Press, 1994, pp. 104โ€“143.
  4. R. D. Reitz and Y. Sun, โ€œ18 – Advanced computational fluid dynamics modeling of direct injection engines,โ€ in Advanced Direct Injection Combustion Engine Technologies and Development, vol. 2, Woodhead Publishing, 2010, pp. 676โ€“707.
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  7. J. Wu and C. Luo, โ€œEffects of entrained air manner on cavitation damage,โ€ Journal of Hydrodynamics, Ser. B, vol. 23, no. 3, pp. 333โ€“338, Jun. 2011.
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  10. A. Bagis and D. Karaboga, โ€œEvolutionary algorithm-based fuzzy PD control of spillway gates of dams,โ€ Journal of the Franklin Institute, vol. 344, no. 8, pp. 1039โ€“1055, Nov. 2007.
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Figure 10. Three-dimensional illustration of Froude number in various tailwaters. (a) 129.10 m, (b) 129.40 m, (c) 129.70 m, (d) 129.99 m, and (e) 130.30 m

Hydraulic Characteristic Analysis of Buoyant Flap Typed Storm Surge Barrier using FLOW-3D Model

FLOW-3D ๋ชจ๋ธ์„ ์ด์šฉํ•œ ๋ถ€์œ  ํ”Œ๋žฉํ˜• ํญํ’ ํ•ด์ผ ๋ฐฉ์–ด๋ฒฝ์˜ ์ˆ˜๋ฆฌ ํŠน์„ฑ ๋ถ„์„

1. ์„œ๋ก 

  • ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ถ€์œ  ํ”Œ๋žฉํ˜• ํญํ’ ํ•ด์ผ ๋ฐฉ์–ด๋ฒฝ์˜ ์ˆ˜๋ฆฌํ•™์  ํŠน์„ฑ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•จ.
  • ํญํ’ ํ•ด์ผ ์ œ์–ด ๋ฐ ์—ฐ์•ˆ ํ™์ˆ˜ ์™„ํ™”์—์„œ ๋ฐฉ์–ด๋ฒฝ์˜ ํšจ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ์ˆ˜ํ–‰๋จ.
  • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ฐฉ์–ด๋ฒฝ์˜ ์œ ์ฒด์—ญํ•™์  ๊ฑฐ๋™์„ ๋ชจ๋ธ๋งํ•จ.

2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  • ์ „์‚ฐ์œ ์ฒด์—ญํ•™(CFD) ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ๋ถ€์œ  ํ”Œ๋žฉํ˜• ๋ฐฉ์–ด๋ฒฝ์„ ๋ชจ๋ธ๋งํ•จ.
  • ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ์ฃผ์š” ๊ตฌ์„ฑ ์š”์†Œ:
    • ๋ ˆ์ด๋†€์ฆˆ ํ‰๊ท  ๋‚˜๋น„์—-์Šคํ† ํฌ์Šค(RANS) ๋ฐฉ์ •์‹์„ ์ด์šฉํ•œ ๋‚œ๋ฅ˜ ๋ชจ๋ธ๋ง.
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
    • ์‹ค์ œ ์กฐ์„(tidal) ๋ฐ ํญํ’ ํ•ด์ผ(storm surge) ์กฐ๊ฑด์„ ๋ฐ˜์˜ํ•œ ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์ ์šฉ.
  • ๊ธฐ์กด ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ชจ๋ธ ๊ฒ€์ฆ ์ˆ˜ํ–‰.

3. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ

  • ์ฃผ์š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ:
    • ๋ฐฉ์–ด๋ฒฝ์ด ์ˆ˜์œ„ ๊ฐ์†Œ ๋ฐ ํŒŒ๋ž‘ ์—๋„ˆ์ง€ ์ €๊ฐ์— ํšจ๊ณผ์ ์ž„์„ ํ™•์ธ.
    • ๋ฐฉ์–ด๋ฒฝ ๊ฐ๋„์— ๋”ฐ๋ผ ์™€๋ฅ˜(vortex) ํ˜•์„ฑ ๋ฐ ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ๋ณ€ํ™”ํ•จ.
    • ํŒŒ๊ณ , ๋ฐฉ์–ด๋ฒฝ ์œ ์—ฐ์„ฑ, ์œ ์†์— ๋”ฐ๋ผ ๊ตฌ์กฐ์  ์•ˆ์ •์„ฑ์ด ์˜ํ–ฅ์„ ๋ฐ›์Œ.
  • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด ๋ชจ๋ธ์˜ ์˜ˆ์ธก ์ •ํ™•์„ฑ์ด ๋†’์Œ์„ ํ™•์ธํ•จ.

4. ๊ฒฐ๋ก 

  • ๋ถ€์œ  ํ”Œ๋žฉํ˜• ํญํ’ ํ•ด์ผ ๋ฐฉ์–ด๋ฒฝ์€ ์—ฐ์•ˆ ํ™์ˆ˜ ์™„ํ™”์— ํšจ๊ณผ์ ์ธ ๋Œ€์•ˆ์ด ๋  ์ˆ˜ ์žˆ์Œ.
  • CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๋ฐฉ์–ด๋ฒฝ ์„ค๊ณ„ ์ตœ์ ํ™”์— ์œ ์šฉํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Œ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ์žฅ๊ธฐ์ ์ธ ๊ตฌ์กฐ์  ๋‚ด๊ตฌ์„ฑ ๋ฐ ์‹ค์ œ ํ™˜๊ฒฝ์—์„œ์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ์ค‘์ ์ ์œผ๋กœ ๋‹ค๋ค„์•ผ ํ•จ.
Figure 1. Location of the study area
Figure 1. Location of the study area

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Graphical Abstract

Flow-3D Numerical Modeling of Converged Side Weir

์ˆ˜๋ ดํ˜• ์ธก๋ฐฉ ์œ„์–ด์˜ FLOW-3D ์ˆ˜์น˜ ๋ชจ๋ธ๋ง

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

๋ฌธ์ œ ์ •์˜

  • ์ธก๋ฐฉ ์œ„์–ด(side weir)๋Š” ์ˆ˜๋กœ ๋ฐ ํ•˜์ฒœ์—์„œ ํ™์ˆ˜ ์กฐ์ ˆ, ์œ ๋Ÿ‰ ๋ถ„๋ฐฐ ๋ฐ ๊ด€๊ฐœ ์‹œ์Šคํ…œ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•จ.
  • ๊ธฐ์กด ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ๋‹จ์ˆœํ•œ ํ”„๋ฆฌ์ฆ˜ํ˜•(prismatic) ์ฑ„๋„์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ, ์ˆ˜๋ ดํ˜•(converged) ์ฑ„๋„์—์„œ์˜ ์ธก๋ฐฉ ์œ„์–ด ์„ฑ๋Šฅ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•จ.
  • ์ˆ˜๋ ดํ˜• ์ฑ„๋„์—์„œ ์œ„์–ด์˜ ํšจ์œจ์„ฑ ์ฆ๋Œ€ ๊ฐ€๋Šฅ์„ฑ์„ ๊ฒ€ํ† ํ•˜๊ณ , FLOW-3D๋ฅผ ์ด์šฉํ•œ ์ •๋Ÿ‰์  ๋ถ„์„์ด ํ•„์š”ํ•จ.

์—ฐ๊ตฌ ๋ชฉ์ 

  • FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜๋ ดํ˜• ์ฑ„๋„์—์„œ ์ธก๋ฐฉ ์œ„์–ด์˜ ์œ ๋™ ํŠน์„ฑ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„.
  • ์‹คํ—˜ ๋ชจ๋ธ๊ณผ ๋น„๊ตํ•˜์—ฌ FLOW-3D์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆ.
  • ์ˆ˜๋ ด๊ฐ ๋ฐ ํ•˜๋ฅ˜ ์ฑ„๋„ ํญ ๋ณ€ํ™”๊ฐ€ ์œ„์–ด ์„ฑ๋Šฅ(์œ ๋Ÿ‰ ๋ถ„๋ฐฐ, ์ˆ˜์œ„ ๋ณ€ํ™”, ์—๋„ˆ์ง€ ์†์‹ค ๋“ฑ)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ํ‰๊ฐ€.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

์‹คํ—˜ ๋ฐ ์ˆ˜์น˜ ๋ชจ๋ธ ๊ฐœ์š”

  • ์‹คํ—˜ ํ™˜๊ฒฝ:
    • ์‹คํ—˜์‹ค ๊ทœ๋ชจ ์ˆ˜๋กœ(๊ธธ์ด 700mm, ํญ 310mm, ๋†’์ด 480mm).
    • ๋‹ค์–‘ํ•œ ์œ„์–ด ๊ธธ์ด(5๊ฐœ), ์œ„์–ด ํฌ๋ ˆ์ŠคํŠธ ๋†’์ด(4๊ฐœ), ์ˆ˜๋ ด๊ฐ(2๊ฐœ), ํ•˜๋ฅ˜ ์ฑ„๋„ ํญ(3๊ฐœ) ์กฐ๊ฑด์—์„œ ์ด 33๊ฐœ ์‹คํ—˜ ์ˆ˜ํ–‰.
    • ์œ ๋Ÿ‰ ๋ฒ”์œ„: 10~100mยณ/h.
  • FLOW-3D ๊ธฐ๋ฐ˜ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •:
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
    • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์ ์šฉ.
    • ๊ฒฉ์ž(Grid) ์„ค์ •: ๋ฉ”์‰ฌ ํฌ๊ธฐ 1cm, ์ „์ฒด ์…€ ์ˆ˜ ๋ชจ๋ธ ํฌ๊ธฐ์— ๋”ฐ๋ผ ์กฐ์ •.
    • ๊ฒฝ๊ณ„ ์กฐ๊ฑด:
      • ์œ ์ž…: ๋ถ€ํ”ผ ์œ ๋Ÿ‰ ์กฐ๊ฑด(volume flow rate).
      • ์œ ์ถœ: ์ž์œ  ๋ฐฐ์ถœ(outflow) ๊ฒฝ๊ณ„ ์กฐ๊ฑด.
      • ๋ฒฝ๋ฉด: No-slip ์กฐ๊ฑด ์ ์šฉ.

์ฃผ์š” ๊ฒฐ๊ณผ

์ˆ˜๋ ดํ˜• vs. ํ”„๋ฆฌ์ฆ˜ํ˜• ์ฑ„๋„ ๋น„๊ต

  • ์ˆ˜๋ ดํ˜• ์ฑ„๋„์—์„œ ํ•˜๋ฅ˜ ํญ์„ ๊ฐ์†Œ์‹œํ‚ค๋ฉด ์œ„์–ด ์ƒ๋ฅ˜ ์ˆ˜์‹ฌ์ด ์ฆ๊ฐ€ํ•˜์—ฌ ์œ„์–ด๋ฅผ ํ†ตํ•œ ์œ ๋Ÿ‰ ๋ถ„๋ฐฐ ์ฆ๊ฐ€.
  • ์ˆ˜๋ ด๊ฐ์ด ํด์ˆ˜๋ก ์ˆ˜์œ„ ๋ฐ ํŠน์ • ์—๋„ˆ์ง€๊ฐ€ ์ฆ๊ฐ€ํ•˜์—ฌ ์œ ์ถœ๋Ÿ‰(Qw/Q0) ๋น„์œจ ํ–ฅ์ƒ.
  • ํ”„๋ฆฌ์ฆ˜ํ˜• ์ฑ„๋„ ๋Œ€๋น„ ์ˆ˜๋ ดํ˜• ์ฑ„๋„์ด ๋™์ผํ•œ ์œ ๋Ÿ‰์—์„œ๋„ ๋” ๋†’์€ ์œ„์–ด ํฌ๋ ˆ์ŠคํŠธ ์ˆ˜์œ„๋ฅผ ํ˜•์„ฑํ•˜์—ฌ ๋ฐฉ๋ฅ˜ ํšจ์œจ์„ฑ์ด ์ฆ๊ฐ€.

์ˆ˜์œ„ ๋ฐ ์œ ์† ๋ถ„ํฌ ๋ถ„์„

  • ์œ„์–ด ์ƒ๋ฅ˜ ๋ฐ ์ค‘๊ฐ„๋ถ€์—์„œ ์ˆ˜๋ฉด ๊ฒฝ์‚ฌ๊ฐ€ ํ•˜๊ฐ•ํ•˜๋Š” ๊ฒฝํ–ฅ, ๊ทธ๋Ÿฌ๋‚˜ ์œ„์–ด ๋์—์„œ๋Š” ์ƒ์Šนํ•˜๋Š” ํŒจํ„ด ํ™•์ธ.
  • ์ตœ๋Œ€ ์œ ์†์ด ์ˆ˜๋ ด ์ฑ„๋„์—์„œ ์œ„์–ด ์‹œ์ž‘์  ๊ทผ์ฒ˜์—์„œ ๋ฐœ์ƒ, ๋ฐ˜๋ฉด ํšก๋ฐฉํ–ฅ ์œ ์†์€ ์œ„์–ด ์ค‘์•™๋ถ€์—์„œ ์ตœ๋Œ€๊ฐ’ ๋„๋‹ฌ.
  • ์—๋„ˆ์ง€ ์†์‹ค ๋ถ„์„ ๊ฒฐ๊ณผ, ํ•˜๋ฅ˜ ์ฑ„๋„ ํญ ๊ฐ์†Œ(b/B โ†“)์— ๋”ฐ๋ผ ์—๋„ˆ์ง€ ์†์‹ค ๊ฐ์†Œ, ์ด๋Š” ์œ ๋Ÿ‰ ๋ถ„๋ฐฐ ํšจ์œจ ์ฆ๊ฐ€๋กœ ์—ฐ๊ฒฐ๋จ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

๊ฒฐ๋ก 

  • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๊ฐ€ ๋†’์€ ์ผ์น˜๋„๋ฅผ ๋ณด์ด๋ฉฐ(Rยฒ = 0.98), ์ˆ˜๋ ดํ˜• ์ธก๋ฐฉ ์œ„์–ด์˜ ์œ ๋™ ํŠน์„ฑ์„ ํšจ๊ณผ์ ์œผ๋กœ ์˜ˆ์ธก ๊ฐ€๋Šฅ.
  • ์ˆ˜๋ ดํ˜• ์ฑ„๋„์—์„œ ์œ„์–ด์˜ ํšจ์œจ์„ฑ์ด ์ฆ๊ฐ€ํ•˜๋ฉฐ, ํ•˜๋ฅ˜ ์ฑ„๋„ ํญ์ด ์ค„์–ด๋“ค์ˆ˜๋ก ์œ„์–ด ์ƒ๋ฅ˜ ์ˆ˜์œ„๊ฐ€ ์ƒ์Šนํ•˜์—ฌ ๋ฐฉ๋ฅ˜๋Ÿ‰์ด ์ฆ๊ฐ€.
  • b/B ๋น„์œจ์ด ์ž‘์„์ˆ˜๋ก(์ฆ‰, ํ•˜๋ฅ˜ ์ฑ„๋„์ด ์ข์„์ˆ˜๋ก) ์œ„์–ด์˜ ์„ฑ๋Šฅ์ด ๊ฐœ์„ ๋จ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • LES(Large Eddy Simulation) ๋ชจ๋ธ๊ณผ์˜ ๋น„๊ต ๋ถ„์„ ์ˆ˜ํ–‰.
  • ๋‹ค์–‘ํ•œ ์ฑ„๋„ ํ˜•์ƒ ๋ฐ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ ์ถ”๊ฐ€์ ์ธ ๊ฒ€์ฆ ์ˆ˜ํ–‰.
  • ์‹ค์ œ ํ•˜์ฒœ ๋ฐ ๊ด€๊ฐœ ์‹œ์Šคํ…œ ์ ์šฉ์„ ์œ„ํ•œ ์ตœ์  ์„ค๊ณ„ ๋ชจ๋ธ ์—ฐ๊ตฌ.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜๋ ดํ˜• ์ธก๋ฐฉ ์œ„์–ด์˜ ์œ ๋™ ๋ฐ ์—๋„ˆ์ง€ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์ˆ˜๋ ดํ˜• ์ฑ„๋„ ์„ค๊ณ„๋ฅผ ํ†ตํ•ด ์œ„์–ด ์„ฑ๋Šฅ์„ ์ตœ์ ํ™”ํ•  ์ˆ˜ ์žˆ์Œ์„ ์ž…์ฆํ•˜๋ฉฐ, ์‹ค๋ฌด ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์Œ.

References

  1. Abbasi S, Fatemi S, Ghaderi A, Di Francesco S (2021). “The Effect of Geometric Parameters of the Antivortex on a Triangular Labyrinth Side Weir.” Water, 13(1), 14. https://doi.org/10.3390/w13010014
  2. Ackers P (1957). “A Theoretical Consideration of Side-weirs as Storm Water Overflows.” Proceeding of Institute of Civil Engineers, 6, 250โ€“269.
  3. Afshar H, Hoseini SH (2013). “Experimental and 3-D Numerical Simulation of Flow Over a Rectangular Broad-Crested Weir.” International Journal of Engineering and Advanced Technology (IJEAT), 2(6), 214โ€“219.
  4. Al-Hashimi AS, Madhloom MH, Nahi NT (2017). “Experimental and Numerical Simulation of Flow Over Broad Crested Weir and Stepped Weir Using Different Turbulence Models.” Journal of Engineering and Sustainable Development, 21(2), 28โ€“45.
  5. Aydin MC (2012). “CFD Simulation of Free-Surface Flow Over Triangular Labyrinth Side Weir.” Adv Eng Softw, 45(1), 159โ€“166. https://doi.org/10.1016/j.advengsoft.2011.09.006
  6. Azimi H, Shabanlou S, Ebtehaj I, Bonakdari H (2016). “Discharge Coefficient of Rectangular Side Weirs on Circular Channels.” International Journal of Nonlinear Sciences and Numerical Simulation, 17(7โ€“8), 391โ€“399. https://doi.org/10.1515/ijnsns-2016-0033
  7. Bagheri S, Heidarpour M (2011). “Characteristics of Flow Over Rectangular Sharp Crested Side Weirs.” J Irrig Drain Eng, 138(6), 541โ€“547. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000433
  8. Borghei SM, Parvaneh A (2011). “Discharge Characteristics of a Modified Oblique Side Weir in Subcritical Flow.” Flow Meas Instrum, 22(5), 370โ€“376. https://doi.org/10.1016/j.flowmeasinstr.2011.04.009
  9. Granata F, Di Nunno F, Gargano R, de Marinis G (2019). “Equivalent Discharge Coefficient of Side Weirs in Circular Channelโ€”A Lazy Machine Learning Approach.” Water, 11(11), 2406. https://doi.org/10.3390/w11112406
  10. Hager WH (1987). “Lateral Outflow Over Side Weirs.” J Hydraulic Engineering, 113(4), 491โ€“504. https://doi.org/10.1061/(ASCE)07339429(1987)113:4(491)
  11. Hirt CW, Nichols BD (1981). “Volume of Fluid (VOF) Method for the Dynamics of Free Boundaries.” J Comput Phys, 39(1), 201โ€“225. https://doi.org/10.1016/0021-9991(81)90145-5
Figure 4. Bed bathymetry of the developed scour hole at Q = 0.035 m3 s

Three Dimensional Simulation of Flow Field around Series of Spur Dikes

Spur Dikes ์ฃผ๋ณ€์˜ 3์ฐจ์› ์œ ๋™์žฅ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

Figure 4. Bed bathymetry of the developed scour hole at Q = 0.035 m3 s
Figure 4. Bed bathymetry of the developed scour hole at Q = 0.035 m3 s

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

๋ฌธ์ œ ์ •์˜

  • Spur Dikes๋Š” ํ•˜์ฒœ ์ œ๋ฐฉ ๋ณดํ˜ธ ๋ฐ ์œ ๋กœ ์กฐ์ ˆ์„ ์œ„ํ•ด ์‚ฌ์šฉ๋˜๋ฉฐ, ๊ตญ๋ถ€์ ์ธ ์„ธ๊ตด(scour)๊ณผ ์œ ๋™์žฅ ๋ณ€ํ™”๊ฐ€ ๋ฐœ์ƒํ•จ.
  • ๊ธฐ์กด์˜ ๋ฌผ๋ฆฌ ์‹คํ—˜์€ ์‹œ๊ฐ„๊ณผ ๋น„์šฉ์ด ๋งŽ์ด ์†Œ์š”๋˜๋ฏ€๋กœ ์ปดํ“จํ„ฐ ๊ธฐ๋ฐ˜ CFD(์ „์‚ฐ์œ ์ฒด์—ญํ•™) ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ™œ์šฉํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•จ.

์—ฐ๊ตฌ ๋ชฉ์ 

  • FLOW-3D๋ฅผ ์ด์šฉํ•˜์—ฌ Spur Dikes ์ฃผ๋ณ€ ์œ ๋™ ํŠน์„ฑ์„ 3์ฐจ์›์ ์œผ๋กœ ๋ถ„์„.
  • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ FLOW-3D ๋ชจ๋ธ์˜ ์ •ํ™•์„ฑ์„ ๊ฒ€์ฆ.
  • ๋‹ค์–‘ํ•œ ๋‚œ๋ฅ˜ ๋ชจ๋ธ(RNG k-ฮต, LES ๋“ฑ)์˜ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜์—ฌ ์ตœ์ ์˜ ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์„ ์ •.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

์‹คํ—˜ ๋ฐ ์ˆ˜์น˜ ๋ชจ๋ธ ๊ฐœ์š”

  • ์—ฐ๊ตฌ ๋Œ€์ƒ: ์—ฐ์†๋œ ์„ธ ๊ฐœ์˜ Spur Dikes๊ฐ€ ์žˆ๋Š” ์ˆ˜๋กœ.
  • ์‹คํ—˜ ์กฐ๊ฑด:
    • ์ˆ˜๋กœ ๊ธธ์ด 12.2m, ํญ 0.6m, ๊นŠ์ด 1.2m.
    • Sontek ADV๋ฅผ ์ด์šฉํ•˜์—ฌ ์œ ์† ์ธก์ •.
    • ์‹คํ—˜ ํ›„ ์„ธ๊ตด ํ˜•์ƒ ์ธก์ • ๋ฐ ๋ชจ๋ธ ๊ฒ€์ฆ ์ˆ˜ํ–‰.

FLOW-3D ๊ธฐ๋ฐ˜ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •

  • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด ์ถ”์ .
  • RNG k-ฮต, LES ๋ฐ ํ‘œ์ค€ k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ ๋น„๊ต.
  • ๊ฒฉ์ž(Grid) ๋ฏผ๊ฐ๋„ ๋ถ„์„์„ ํ†ตํ•ด ์ตœ์ ์˜ ๊ฒฉ์ž ํฌ๊ธฐ ๊ฒฐ์ •(3mm).
  • ๊ฒฝ๊ณ„ ์กฐ๊ฑด:
    • ์œ ์ž…: ํ‰๊ท  ์†๋„ 0.29m/s ์ ์šฉ.
    • ์œ ์ถœ: ์ž์œ  ๋ฐฐ์ถœ(outflow) ๊ฒฝ๊ณ„ ์„ค์ •.
    • ๋ฐ”๋‹ฅ: No-slip ์กฐ๊ฑด ์ ์šฉ, ์ด๋™ ๊ฐ€๋Šฅํ•œ ํ‡ด์ ์ธต ์„ค์ •.

์ฃผ์š” ๊ฒฐ๊ณผ

์œ ๋™ ๋ฐ ์„ธ๊ตด ํŠน์„ฑ ๋ถ„์„

  • Spur Dikes ์ „๋ฉด์—์„œ ๊ฐ•ํ•œ ์™€๋ฅ˜(vortex) ๋ฐœ์ƒ โ†’ ์„ธ๊ตด ํ˜•์„ฑ์˜ ์ฃผ์š” ์›์ธ.
  • RNG k-ฮต ๋ชจ๋ธ์ด ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๊ฐ€์žฅ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋ณด์ž„.
  • LES ๋ชจ๋ธ์€ ๊ณ ๋‚œ๋ฅ˜ ์˜์—ญ์—์„œ ๋น„๊ต์  ์ •ํ™•ํ•˜์ง€๋งŒ ๊ณ„์‚ฐ ๋น„์šฉ์ด ๋†’์Œ.
  • ํ‘œ์ค€ k-ฮต ๋ชจ๋ธ์€ ๋‚œ๋ฅ˜ ์—๋„ˆ์ง€๋ฅผ ๊ณผ๋Œ€ํ‰๊ฐ€(50% ์ด์ƒ์˜ ์˜ค์ฐจ).

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

๊ฒฐ๋ก 

  • FLOW-3D ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋†’์€ ์ผ์น˜๋„๋ฅผ ๋ณด์ด๋ฉฐ, Spur Dikes ์ฃผ๋ณ€์˜ ์œ ๋™ ๋ฐ ์„ธ๊ตด ํ˜„์ƒ์„ ํšจ๊ณผ์ ์œผ๋กœ ์˜ˆ์ธก ๊ฐ€๋Šฅ.
  • RNG k-ฮต ๋ชจ๋ธ์ด ๊ฐ€์žฅ ์ ํ•ฉํ•œ ๋‚œ๋ฅ˜ ๋ชจ๋ธ๋กœ ํ‰๊ฐ€๋จ.
  • ์„ธ๊ตด ๊นŠ์ด๋Š” ์ดˆ๊ธฐ ๋ฐ ์ฃผ์š” ์„ธ๊ตด ๋‹จ๊ณ„์—์„œ ๋Œ€๋ถ€๋ถ„ ๊ฒฐ์ •๋˜๋ฉฐ, ์ดํ›„ ํฐ ๋ณ€ํ™” ์—†์Œ.

ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ

  • LES(Large Eddy Simulation) ์ ์šฉ ๋ฒ”์œ„ ํ™•๋Œ€ ๋ฐ ์ •ํ™•๋„ ๋น„๊ต.
  • ์‹ค์ œ ํ•˜์ฒœ ํ™˜๊ฒฝ๊ณผ์˜ ๋น„๊ต ์—ฐ๊ตฌ ์ˆ˜ํ–‰.
  • ์„ธ๊ตด ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ์„ ์„ ์œ„ํ•œ ์ถ”๊ฐ€์ ์ธ ์‹คํ—˜ ๊ฒ€์ฆ ์ˆ˜ํ–‰.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ Spur Dikes ์ฃผ๋ณ€์˜ ์œ ๋™ ๋ฐ ์„ธ๊ตด ํ˜„์ƒ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ์ •ํ™•์„ฑ์„ ์‹คํ—˜์ ์œผ๋กœ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ํ•˜์ฒœ ๊ด€๋ฆฌ ๋ฐ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„์˜ ์ตœ์ ํ™”์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ์™€ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•œ๋‹ค.

References

  1. F.D. Shields, Jr., C.M. Cooper, and S.S. Knight, Experiment in stream restoration, J. Hydraul. Eng., 121(6), 1995, 494โ€“502.
  2. R.A. Kuhnle, Y. Jia, and C.V. Alonso, Measured and simulated flow near a submerged spur dike, J. Hydraul. Eng., 1348(7), 2008, 916โ€“924.
  3. R.J. Garde, K. Subramanya, and K.D. Nambudripad, Study of scour around spur-dikes, J. Hydraul. Div., ASCE, 87(6), 1961, 23โ€“37.
  4. E.M. Laursen, Analysis of relief bridge scour, J. Hydraul. Div., Am. Soc. Civ. Eng., 89(3), 1963, 93โ€“118.
  5. M.A. Gill, Erosion of sand beds around spur dikes, J. Hydraul. Div., ASCE, 98(9), 1972, 1587โ€“1602.
  6. T.F. Kwan, and B.W. Melville, Local scour and flow measurements at bridge abutments, J. Hydraul. Res., 32(5), 1994, 661โ€“673.
  7. S.Y. Lim, Equilibrium clear water scour around an abutment, J. Hydraul. Eng., 123(3), 1997, 237โ€“243.
  8. M.M. Rahman, N. Nagata, Y. Muramoto, and H. Murata, Effect of side slope on flow and scouring around spur-dike-like structures, Proc., 7th Int. Symp. on River Sedimentation, Hong Kong, China, 1998, 165โ€“171.
  9. N. Nagata, T. Hosoda, T. Nakato, and Y. Muramoto, Three-dimensional numerical model for flow and bed deformation around river hydraulic structures, J. Hydraul. Eng., 131(12), 2005, 1074-1087.
  10. C.J. Posey, Why bridges fail in floods, Civ. Eng. (N.Y.), 19, 1949, 42โ€“90.
  11. H.W. Shen, V.R. Schneider, and S. Karaki, Local scour around bridge piers, J. Hydraul. Div., Am. Soc. Civ. Eng., 95(6), 1969, 1919โ€“1940.
  12. B. Dargahi, Flow field and local scouring around a pier. Bulletin No. TRITA-VBI-137, Hydraulic Laboratory, Royal Institute of Technology, Stockholm, Sweden, 1988.
  13. A. J. Raudkivi, Loose boundary hydraulics (3rd Ed., Pergamon, New York, 1990).
  14. F. Ahmed, and N. Rajaratnam, Flow around bridge piers, J. Hydraul. Eng., 124(3), 1998, 288 โ€“ 300.
  15. F. Ahmed, and N. Rajaratnam, Observations of flow around bridge abutment, J. Eng. Mech., 126(1), 2000, 51 โ€“ 59.
  16. B.W. Melville, Local scour at bridge abutments, J. Hydraul. Eng., ASCE, 118(4), 1992, 615โ€“631.
  17. W.S. Uijttewaal, D. Lehmann, and A. van Mazijk, Exchange processes between a river and its groyne fields: model experiments, J. Hydraul. Eng., ASCE, 127(11), 2001, 928โ€“936.
  18. V. Weitbrecht, W. Uijttewaal, and G.H. Jirka, 2D particle tracking to determine transport characteristics in rivers with dead zones, Proc., Int. Symp. Shallow Flows, Delft, The Netherlands, 2009, 103โ€“110.
  19. M.A. Stevens, M.M. Gasser, and M.B.A.M. Saad, Wake vortex scour at bridge piers, J. Hydraul. Eng., 117(7), 1991, 891โ€“904.

Flow 3D outputs of flow depth and velocity of H =0.15m

Numerical Analysis of Hydraulic Behavior of Vertical Drop Structures Using FLOW-3D

FLOW-3D๋ฅผ ํ™œ์šฉํ•œ ์ˆ˜์ง ๋‚™์ฐจ ๊ตฌ์กฐ๋ฌผ์˜ ์ˆ˜๋ฆฌํ•™์  ๊ฑฐ๋™ ์ˆ˜์น˜ ํ•ด์„

FIG8FL~4
Figure 8.FLOW-3D outputs of flow depth and velocity of H =0.15m

์—ฐ๊ตฌ ๋ชฉ์ 

  • ๋ณธ ์—ฐ๊ตฌ๋Š” ์ˆ˜์ง ๋‚™์ฐจ ๊ตฌ์กฐ๋ฌผ(vertical drop structure)์˜ ์œ ๋™ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด CFD(Computational Fluid Dynamics) ๋ชจ๋ธ์„ ํ™œ์šฉํ•จ.
  • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์ด์šฉํ•˜์—ฌ ์ž์œ  ํ‘œ๋ฉด ํ๋ฆ„์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ , ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ์˜ ์ •ํ™•์„ฑ์„ ๊ฒ€์ฆํ•จ.
  • ์ˆ˜๋กœ ๊ฒฝ์‚ฌ, ์œ ์ž… ์†๋„, ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์„ ํƒ์ด ๋‚™์ฐจ ๊ตฌ์กฐ ๋‚ด ์œ ๋™ ํŒจํ„ด ๋ฐ ์—๋„ˆ์ง€ ์†์‹ค์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•จ.
  • ์ˆ˜์น˜ ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋‚™์ฐจ ๊ตฌ์กฐ๋ฌผ์˜ ์ตœ์  ์„ค๊ณ„ ์กฐ๊ฑด์„ ๋„์ถœํ•˜์—ฌ ์ˆ˜๋ ฅํ•™์  ํšจ์œจ์„ฑ์„ ๊ฐœ์„ ํ•˜๊ณ ์ž ํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. FLOW-3D ๊ธฐ๋ฐ˜ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ์ž์œ  ํ‘œ๋ฉด ํ๋ฆ„์„ ์ถ”์ ํ•˜๊ณ , ํ‘œ์ค€ k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•จ.
    • ๊ฒฉ์ž(grid) ํฌ๊ธฐ ์ตœ์ ํ™”๋ฅผ ํ†ตํ•ด ํ•ด์„ ์ •ํ™•๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ด.
    • ์ˆ˜์ง ๋‚™์ฐจ ๊ตฌ์กฐ๋ฌผ์˜ ์œ ๋™ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์ˆ˜๋กœ ๊ธธ์ด ๋ฐ ๋‚™์ฐจ ๋†’์ด ์กฐ๊ฑด์„ ์„ค์ •ํ•จ.
  2. ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ต ๊ฒ€์ฆ
    • ์‹ค์ œ ์‹คํ—˜์—์„œ ์ธก์ •๋œ ํ•˜๋ฅ˜ ์ˆ˜์‹ฌ ๋ฐ ์—๋„ˆ์ง€ ์†์‹ค ๋ฐ์ดํ„ฐ๋ฅผ CFD ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ํ‰๊ฐ€ํ•จ.
    • ๋‚™์ฐจ ๊ตฌ์กฐ ๋‚ด ์œ ๋™ ์†๋„ ๋ถ„ํฌ ๋ฐ ์ถฉ๊ฒฉ๋ ฅ(impact force)์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•จ.
    • ๋‹ค์–‘ํ•œ ๊ฒฉ์ž ํฌ๊ธฐ ๋ฐ ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ๋น„๊ตํ•˜์—ฌ ์ตœ์  ํ•ด์„ ๋ฐฉ๋ฒ•์„ ๋„์ถœํ•จ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์œ ๋™ ๊ฑฐ๋™ ๋ถ„์„
    • ๋‚™์ฐจ ๊ตฌ์กฐ๋ฌผ์—์„œ ์ˆ˜๋ฅ˜๊ฐ€ ๋‚™ํ•˜ํ•˜๋ฉด์„œ ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉฐ, ํ•˜๋ฅ˜์—์„œ ์ˆ˜์‹ฌ์ด ์ฆ๊ฐ€ํ•˜๋Š” ํŒจํ„ด์„ ๋ณด์ž„.
    • ๋‚™์ฐจ ๋†’์ด๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์ถฉ๊ฒฉ๋ ฅ์ด ์ฆ๊ฐ€ํ•˜๊ณ , ์ด์— ๋”ฐ๋ฅธ ์—๋„ˆ์ง€ ์†์‹ค๋„ ์ปค์ง.
    • ํ•˜๋ฅ˜ ์ฑ„๋„ ๊ธธ์ด๊ฐ€ ์ถฉ๋ถ„ํ•  ๊ฒฝ์šฐ ๋‚œ๋ฅ˜ ํšจ๊ณผ๊ฐ€ ๊ฐ์†Œํ•˜๋ฉฐ, ์œ ๋™์ด ์•ˆ์ •ํ™”๋˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์ž„.
  2. CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๋น„๊ต
    • FLOW-3D ๋ชจ๋ธ์ด ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋†’์€ ์ผ์น˜๋„๋ฅผ ๋ณด์ด๋ฉฐ, ํ‰๊ท  ์˜ค์ฐจ์œจ์ด 5% ์ดํ•˜๋กœ ๋‚˜ํƒ€๋‚จ.
    • ๊ฒฉ์ž ํฌ๊ธฐ๊ฐ€ 20,000๊ฐœ ์ด์ƒ์ผ ๋•Œ ๋ชจ๋ธ ์ •ํ™•๋„๊ฐ€ ์ตœ์ ํ™”๋จ.
    • ๋‚™์ฐจ ๊ตฌ์กฐ์˜ ํ˜•์ƒ ๋ฐ ์œ ์ž… ์กฐ๊ฑด์— ๋”ฐ๋ผ ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚จ.
  3. ์—๋„ˆ์ง€ ์†์‹ค ๋ฐ ํ•˜๋ฅ˜ ์œ ๋™ ํŠน์„ฑ
    • ์ˆ˜๋กœ ๊ธธ์ด๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์—๋„ˆ์ง€ ์†์‹ค์ด ๊ฐ์†Œํ•˜๋ฉฐ, ํ•˜๋ฅ˜ ์ˆ˜์‹ฌ์ด ์ฆ๊ฐ€ํ•จ.
    • ๋‚™์ฐจ ๊ตฌ์กฐ ์„ค๊ณ„์— ๋”ฐ๋ผ ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ๋‹ฌ๋ผ์ง€๋ฉฐ, ์ด๋ฅผ ๊ณ ๋ คํ•œ ์ตœ์  ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•จ.
    • ๋‚™์ฐจ ๊ตฌ์กฐ ํ›„๋‹จ๋ถ€์— ์—ญ๋ฅ˜(backflow)๊ฐ€ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•œ ์ถ”๊ฐ€ ์„ค๊ณ„๊ฐ€ ์š”๊ตฌ๋จ.

๊ฒฐ๋ก 

  • FLOW-3D๋ฅผ ํ™œ์šฉํ•œ ์ˆ˜์น˜ ํ•ด์„์ด ์ˆ˜์ง ๋‚™์ฐจ ๊ตฌ์กฐ๋ฌผ์˜ ์œ ๋™ ํŠน์„ฑ์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•จ.
  • ํ•˜๋ฅ˜ ์ˆ˜์‹ฌ, ์œ ์ž… ์†๋„ ๋ฐ ๋‚œ๋ฅ˜ ๋ชจ๋ธ์ด ์œ ๋™ ํŠน์„ฑ ๋ฐ ์—๋„ˆ์ง€ ์†์‹ค์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•จ.
  • CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๊ฐ€ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด๋ฉฐ, ๋‚™์ฐจ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•œ ์œ ์šฉํ•œ ๋„๊ตฌ์ž„์„ ์ž…์ฆํ•จ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์ˆ˜๋ฆฌํ•™์  ์กฐ๊ฑด์„ ๋ฐ˜์˜ํ•œ ์ถ”๊ฐ€์ ์ธ ๊ฒ€์ฆ์ด ํ•„์š”ํ•จ.

Reference

  1. RAND, W.: Flow Geometry at Straight Drop Spillways. In Proceedings of the Proceedings ofthe American Society of Civil Engineers; ASCE, 1955; Vol. 81, pp. 1โ€“13.
  2. Akram Gill, M.: Hydraulics of Rectangular Vertical Drop Structures. Journal of HydraulicResearch 1979, 17, 289โ€“302.
  3. RAJARATNAM, N. – CHAMANI, M.R.: Energy Loss at Drops. Journal of Hydraulic Research1995, 33, 373โ€“384.
  4. ESEN, I.I. – ALHUMOUD, J.M.; HANNAN, K.A.: Energy Loss at a Drop Structure with a Step atthe Base. Water international 2004, 29, 523โ€“529.
  5. HONG, Y.-M. – HUANG, H.-S. – WAN, S.: Drop Characteristics of Free-Falling Nappe forAerated Straight-Drop Spillway. Journal of hydraulic research 2010, 48, 125โ€“129.
  6. FAROUK, M. – ELGAMAL, M.: Investigation of the Performance of Single and Multi-DropHydraulic Structures. International Journal of Hydrology Science and Technology 2012, 2, 48โ€“74.
  7. LIU, S.I. – CHEN, J.Y. – HONG, Y.M. – HUANG, H.S. – RAIKAR, R. V.: Impact Characteristics ofFree Over-Fall in Pool Zone with Upstream Bed Slope. Journal of Marine Science andTechnology 2014, 22, 9.
  8. AL-SHAIKHLI, H.I. – KHASSAF, S.I.: CFD Simulation of Waves over Mound Breakwater.Journal of Global Scientific Research 2022, 7, 2283โ€“2291.
  9. KHASSAF, S.I. – ABBAS, H.A. Study of the Local Scour around L-Shape Groynes in ClearWater Conditions. International Journal of Engineering & Technology 2018, 7, 271โ€“276.
  10. GESSLER, D. CFD Modeling of Spillway Performance. In Impacts of Global Climate Change;2005; pp. 1โ€“10.
  11. RAJAB, H. – Elgizawy, A. Design of Spill Tube with Features for Controlling Air BubbleGenerated for Aircraft Applicaitons. Mechanical and Aerospace Engineering presentations2012.
  12. BERGA, L. – BUIL, J.M. – BOFILL, E. – DE CEA, J.C. – PEREZ, J.A.G.; MAร‘UECO, G. -POLIMON, J. – SORIANO, A. – YAGรœE, J. Dams and Reservoirs, Societies and Environment inthe 21st Century, Two Volume Set: Proceedings of the International Symposium on Dams inthe Societies of the 21st Century, 22nd International Congress on Large Dams (ICOLD),Barcelona, Spain, 18 June 2006; CRC Press, 2006; ISBN 1482262916.
  13. AL SHAIKHLI, H.I. – KHASSAF, S.I. Using of Flow 3d as CFD Materials Approach in WavesGeneration. Materials Today: Proceedings 2022, 49, 2907โ€“2911.
  14. CHANEL, P.G. An Evaluation of Computational Fluid Dynamics for Spillway Modeling 2009.
  15. Flow-Science FLOW-3D User Manual, Version 11 2014.
  16. MIA, M.F. – NAGO, H. Design Method of Time-Dependent Local Scour at Circular Bridge Pier.Journal of Hydraulic Engineering 2003, 129, 420โ€“427.
  17. AL SHAIKHLI, H.I. – KHASSAF, S.I. Stepped Mound Breakwater Simulation by Using Flow 3D.Eurasian Journal of Engineering and Technology 2022, 6, 60โ€“68.
  18. STEHLIK-BARRY, K. – BABINEC, A.J. Data Analysis with IBM SPSS Statistics; PacktPublishing Ltd, 2017; ISBN 1787280705.

Study on the Water Surge Height Line of Landslide Surge of Linear River Course Reservoir Based on FLOW-3D

FLOW-3D๋ฅผ ํ™œ์šฉํ•œ ์„ ํ˜• ํ•˜์ฒœ ์ €์ˆ˜์ง€์˜ ์‚ฐ์‚ฌํƒœ ํŒŒ๊ณ  ์„  ์—ฐ๊ตฌ

Fig. 3 Geometric numerical model
Fig. 3 Geometric numerical model

์—ฐ๊ตฌ ๋ชฉ์ 

  • ๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฐ์‚ฌํƒœ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ํ•ด์ผ(surge)์˜ ์ „ํŒŒ ํŠน์„ฑ๊ณผ ๊ฐ์‡  ๊ณผ์ •์„ ๋ถ„์„ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถค.
  • FLOW-3Dยฎ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ™œ์šฉํ•˜์—ฌ ์„ ํ˜• ํ•˜์ฒœ ์ €์ˆ˜์ง€์—์„œ ์‚ฐ์‚ฌํƒœ ํ•ด์ผ์ด ๋ฐœ์ƒํ•˜๋Š” ๊ธฐ์ž‘์„ ๊ทœ๋ช…ํ•จ.
  • ์‚ฐ์‚ฌํƒœ ์œ ์ž…๊ฐ, ํ•˜์ฒœ ๊นŠ์ด, ํ•˜์ฒœ ํ˜•์ƒ ๋ฐ ์‚ฐ์‚ฌํƒœ ์งˆ๋Ÿ‰ ๋“ฑ ๋‹ค์–‘ํ•œ ์š”์†Œ๊ฐ€ ํ•ด์ผ ๋†’์ด ๋ฐ ์ „ํŒŒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•จ.
  • ํ•ด์ผ์˜ ์ „ํŒŒ ๊ณผ์ • ๋ฐ ๊ฐ์‡  ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๊ทœ๋ช…ํ•˜์—ฌ ์ˆ˜๋ ฅํ•™์  ์•ˆ์ •์„ฑ ํ‰๊ฐ€ ๋ฐ ๋ฐฉ์žฌ ๋Œ€์ฑ… ์ˆ˜๋ฆฝ์— ๊ธฐ์—ฌํ•˜๊ณ ์ž ํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. FLOW-3Dยฎ ๊ธฐ๋ฐ˜ ์ˆ˜์น˜ ํ•ด์„ ๋ชจ๋ธ ๊ตฌ์ถ•
    • ์‚ฐ์‚ฌํƒœ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ํ•ด์ผ์˜ ๊ฑฐ๋™์„ ๋ชจ๋ธ๋งํ•˜๊ธฐ ์œ„ํ•ด VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•จ.
    • ์‚ฐ์‚ฌํƒœ์˜ ์ดˆ๊ธฐ ์†๋„, ์งˆ๋Ÿ‰ ๋ฐ ์œ ์ž…๊ฐ์— ๋”ฐ๋ฅธ ํ•ด์ผ ์ƒ์„ฑ ๋ฐ ์ „ํŒŒ ํŠน์„ฑ์„ ๋ถ„์„ํ•จ.
    • ํ•˜์ฒœ ํญ ๋ฐ ์ˆ˜์‹ฌ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ํ•ด์ผ ๊ฐ์‡  ํŠน์„ฑ์„ ํ‰๊ฐ€ํ•จ.
  2. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹คํ—˜ ์„ค๊ณ„
    • ์‚ฐ์‚ฌํƒœ ์งˆ๋Ÿ‰์„ 0.4 m ร— 0.2 m ร— 0.15 m๋กœ ๊ณ ์ •ํ•˜๊ณ , ์œ ์ž…๊ฐ์„ 40ยฐ~80ยฐ ๋ฒ”์œ„์—์„œ ๋ณ€ํ™”์‹œํ‚ด.
    • ๋‹ค์–‘ํ•œ ์ˆ˜์‹ฌ ์กฐ๊ฑด(0.5 m ~ 0.9 m)์—์„œ ํ•ด์ผ ์ „ํŒŒ ํŠน์„ฑ์„ ๋ถ„์„ํ•จ.
    • 5๊ฐœ ์ฃผ์š” ์ธก์ • ์ง€์ ์„ ์„ค์ •ํ•˜์—ฌ ํ•ด์ผ์˜ ์ดˆ๊ธฐ ํŒŒ๊ณ  ๋ฐ ์ „ํŒŒ ๊ณผ์ • ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•จ.
  3. ๊ฒฐ๊ณผ ๋น„๊ต ๋ฐ ๊ฒ€์ฆ
    • ๊ฐ ์‹คํ—˜ ์กฐ๊ฑด์—์„œ ํ•ด์ผ์˜ ์ตœ๋Œ€ ํŒŒ๊ณ  ๋ฐ ์ „ํŒŒ ์†๋„๋ฅผ ์ธก์ •ํ•˜๊ณ , ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•จ.
    • ๊ธฐ์กด ์—ฐ๊ตฌ ๊ฒฐ๊ณผ ๋ฐ ์‹คํ—˜ ๋ชจ๋ธ๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹ ๋ขฐ๋„๋ฅผ ๊ฒ€ํ† ํ•จ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์‚ฐ์‚ฌํƒœ ์œ ์ž…๊ฐ์— ๋”ฐ๋ฅธ ํ•ด์ผ ๋ฐœ์ƒ ํŠน์„ฑ
    • ํ•ด์ผ์˜ ์ดˆ๊ธฐ ํŒŒ๊ณ ๋Š” ์œ ์ž…๊ฐ 60ยฐ์—์„œ ์ตœ๋Œ€๊ฐ’์„ ๊ธฐ๋กํ•˜๋ฉฐ, ์ดํ›„ ์œ ์ž…๊ฐ ์ฆ๊ฐ€์— ๋”ฐ๋ผ ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์ž„.
    • ์œ ์ž…๊ฐ์ด 80ยฐ ์ด์ƒ์ผ ๊ฒฝ์šฐ, ์Šฌ๋ผ์ด๋”ฉ ๋ธ”๋ก์˜ ์ˆ˜์ง ์ถฉ๋Œ๋กœ ์ธํ•ด ์—๋„ˆ์ง€ ์†์‹ค์ด ์ฆ๊ฐ€ํ•˜์—ฌ ํ•ด์ผ ๋†’์ด๊ฐ€ ๊ฐ์†Œํ•จ.
    • ์œ ์ž…๊ฐ์ด ์ž‘์„ ๊ฒฝ์šฐ(40ยฐ ์ดํ•˜), ํ•ด์ผ ๋ฐœ์ƒ ์—๋„ˆ์ง€๊ฐ€ ๋‚ฎ์•„์ง€๊ณ  ์ „ํŒŒ ์†๋„๋„ ๊ฐ์†Œํ•จ.
  2. ์ˆ˜์‹ฌ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ํ•ด์ผ ์ „ํŒŒ ๋ฐ ๊ฐ์‡  ํŠน์„ฑ
    • ๋™์ผํ•œ ์กฐ๊ฑด์—์„œ ์ดˆ๊ธฐ ํ•ด์ผ ๋†’์ด๋Š” ์ˆ˜์‹ฌ์ด ๊นŠ์„์ˆ˜๋ก ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์ž„.
    • ์ˆ˜์‹ฌ์ด 0.5 m์—์„œ 0.9 m๋กœ ์ฆ๊ฐ€ํ•˜๋ฉด, ์ตœ๋Œ€ ํŒŒ๊ณ ๊ฐ€ 49 mm์—์„œ 33 mm๋กœ ๊ฐ์†Œํ•จ.
    • ์ด๋Š” ๊นŠ์€ ์ˆ˜์‹ฌ์—์„œ๋Š” ์—๋„ˆ์ง€๊ฐ€ ๋” ๋งŽ์€ ์ˆ˜์ฒด์— ๋ถ„์‚ฐ๋˜๊ธฐ ๋•Œ๋ฌธ์œผ๋กœ ๋ถ„์„๋จ.
  3. ํ•ด์ผ ์ „ํŒŒ ์†๋„ ๋ฐ ๊ฐ์‡  ํŒจํ„ด
    • ํ•ด์ผ์˜ ์ „ํŒŒ ์†๋„๋Š” ์ดˆ๊ธฐ ํŒŒ๊ณ  ๋ฐ ํ•˜์ฒœ ํ˜•์ƒ์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๋ฉฐ, ์ข์€ ์ˆ˜๋กœ์—์„œ ๊ฐ์‡ ๊ฐ€ ๋А๋ ค์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์ž„.
    • ์ธก์ • ์ง€์ ๋ณ„ ํŒŒ๊ณ  ๊ฐ์†Œ์œจ์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ํ•ด์ผ ๊ฐ์‡ ์œจ์ด ๋น„์„ ํ˜•์ ์œผ๋กœ ๋‚˜ํƒ€๋‚จ.
    • ์ด๋Š” ์ˆ˜๋ฉด ์ €ํ•ญ ๋ฐ ํ๋ฆ„ ๋ถ„์‚ฐ์— ๋”ฐ๋ฅธ ์—๋„ˆ์ง€ ์†์‹ค์ด ๋น„๊ท ์ผํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜๊ธฐ ๋•Œ๋ฌธ์œผ๋กœ ํ•ด์„๋จ.

๊ฒฐ๋ก 

  • ์‚ฐ์‚ฌํƒœ ์œ ์ž…๊ฐ์ด ํ•ด์ผ ๋ฐœ์ƒ์˜ ์ฃผ์š” ๋ณ€์ˆ˜์ด๋ฉฐ, 60ยฐ์—์„œ ์ตœ๋Œ€ ํŒŒ๊ณ ๊ฐ€ ๋ฐœ์ƒํ•จ.
  • ์ˆ˜์‹ฌ์ด ๊นŠ์„์ˆ˜๋ก ํ•ด์ผ ๊ฐ์‡ ๊ฐ€ ๋” ๋น ๋ฅด๊ฒŒ ์ง„ํ–‰๋˜๋ฉฐ, ์ดˆ๊ธฐ ํŒŒ๊ณ ๊ฐ€ ๋‚ฎ์•„์ง.
  • FLOW-3Dยฎ ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์„ ํ˜• ํ•˜์ฒœ ์ €์ˆ˜์ง€์—์„œ์˜ ์‚ฐ์‚ฌํƒœ ํ•ด์ผ ์ „ํŒŒ ๋ฐ ๊ฐ์‡  ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๊ทœ๋ช…ํ•  ์ˆ˜ ์žˆ์Œ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ํ•˜์ฒœ ํ˜•์ƒ ๋ฐ ์‹ค์ œ ์ง€ํ˜• ์กฐ๊ฑด์„ ๋ฐ˜์˜ํ•œ ์ถ”๊ฐ€ ๋ถ„์„์ด ํ•„์š”ํ•จ.

Reference

  1. Kiersch, G. A. 1964. “Vajont Reservoir Disaster.” Civil Engineering (ASCE) 34 (3): 32-39.
  2. Hunan Hydro & Power Design Institute. 1983. Slope Engineering Geology. Beijing: Water Conservancy and Electric Power press.
  3. Wiegel, R. L. 1995. “Laboratory Studies of Gravity Waves Generated by the Movement of A Submerged Body.” Transactions-American Geophysical Union 36 (5): 759-774.
  4. Fritz, H. M., Moster, P. 2003. “Pneumatic Landslide Generator.” International Journal of Fluid Power 173 (2): 223-233.
  5. Sander, J., Hutter, K. 1992. “Evolution of Weakly Non-linear Channelized Shallow Water Waves Generated by A Moving Boundary.”Acta Mechanic 91: 119-155.
  6. Sander, J., Hutter, K. 1996. “Multiple Pulsed Debris Avalanche Emplacement at Mount St. Helens in 1980: Evidence form Numerical Continuum Flow Simulation.” Acta Mechanic 115:133-149.
  7. Heinrich, Ph. 1992. “Nonlinear Water Waves Generated by Submarine and Aerial Landslides.” Journal of Waterway, Port, Coast, and Ocean Engineering, ASCE 118: 249-266.
  8. Ataie-Ashtiani, B., Farhadi, I. A. 2006. “Stable Moving-particle Semi-implicit Method for Free Surface Flow.” Fluid Dynamic Research 38 (4): 241-256.
  9. Monaghan, J. J. 1994. “Simulating Free Surface Flows with SPH.” Journal of Computational Physics 110: 399-406.
  10. Ataie-Ashtiani, B., Shobeyri, G. 2001. “Numerical Simulation of Landslide Impulsive Waves by Incompressible Smoothed Particle Hydrodynamic.” International Journal for Numerical Method in Fluids 56: 209-232.
high froude number

Using the Calculated Froude Number for Quantifying Flow Conditions in Hydraulic Structures

์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์˜ ์œ ๋™ ์กฐ๊ฑด ์ •๋Ÿ‰ํ™”๋ฅผ ์œ„ํ•œ ๊ณ„์‚ฐ๋œ ํ”„๋กœ์šฐ๋“œ ์ˆ˜(Froude Number) ํ™œ์šฉ

์—ฐ๊ตฌ ๋ชฉ์ 

  • ๋ณธ ๋…ผ๋ฌธ์€ ํ”„๋กœ์šฐ๋“œ ์ˆ˜(Froude Number, Fr)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ ๋‚ด ์œ ๋™ ์กฐ๊ฑด์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•จ.
  • ๊ธฐ์กด ์‹คํ—˜ ๋ฐ ์ˆ˜์น˜ ํ•ด์„ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜์—ฌ, Fr์ด ์œ ๋Ÿ‰, ์ˆ˜์‹ฌ, ๊ตฌ์กฐ๋ฌผ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ๊ณผ ์–ด๋–ป๊ฒŒ ์—ฐ๊ด€๋˜๋Š”์ง€ ๊ฒ€ํ† ํ•จ.
  • ๋‹ค์–‘ํ•œ ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ(์—ฌ์ˆ˜๋กœ, ์ˆ˜๋กœ, ๋„์ˆ˜๋กœ ๋“ฑ)์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ผ๋ฐ˜ํ™”๋œ Fr ๊ธฐ๋ฐ˜ ํ•ด์„ ๊ธฐ๋ฒ•์„ ๊ฐœ๋ฐœํ•จ.
  • ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„ ๋ฐ ํ•ด์„์—์„œ Fr์„ ํ™œ์šฉํ•œ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ํ–ฅ์ƒํ•˜๋Š” ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ํ”„๋กœ์šฐ๋“œ ์ˆ˜ ์ด๋ก  ๋ฐ ๋ชจ๋ธ๋ง
    • ํ”„๋กœ์šฐ๋“œ ์ˆ˜๋Š” ์œ ๋™์˜ ๊ด€์„ฑ๋ ฅ๊ณผ ์ค‘๋ ฅ๋ ฅ ๊ฐ„์˜ ๋น„์œจ์„ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ์ˆ˜๋ ฅํ•™์  ํ๋ฆ„ ์ƒํƒœ(์‚ฌ๋ฅ˜, ์ž„๊ณ„๋ฅ˜, ๋ถ€๋ฅ˜)๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ์ค‘์š”ํ•œ ๋งค๊ฐœ๋ณ€์ˆ˜์ž„.
    • Fr ๊ณ„์‚ฐ์„ ์œ„ํ•ด ๊ธฐ๋ณธ ์‹์„ ์ ์šฉํ•จ:
  • V : ์œ ์ฒด ์†๋„
  • g : ์ค‘๋ ฅ ๊ฐ€์†๋„
  • L : ๋Œ€ํ‘œ ๊ธธ์ด(์ˆ˜์‹ฌ ๋˜๋Š” ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์˜ ํŠน์„ฑ ๊ธธ์ด)
  1. ์ˆ˜์น˜ ํ•ด์„ ๋ฐ ์‹คํ—˜ ๊ฒ€์ฆ
    • ๋‹ค์–‘ํ•œ ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์—์„œ ์œ ๋™ ํ•ด์„์„ ์ˆ˜ํ–‰ํ•˜๊ณ , Fr ๊ฐ’๊ณผ ์œ ๋™ ํŠน์„ฑ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•จ.
    • CFD(์ „์‚ฐ์œ ์ฒด์—ญํ•™) ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์—ฌ์ˆ˜๋กœ ๋ฐ ๊ฐœ๋ฐฉ ์ˆ˜๋กœ์—์„œ Fr ๋ณ€ํ™”๋ฅผ ํ‰๊ฐ€ํ•จ.
    • ๊ธฐ์กด ๋ฌธํ—Œ์˜ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ณ , Fr ๊ธฐ๋ฐ˜ ์˜ˆ์ธก ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ํ‰๊ฐ€ํ•จ.
  2. Fr ๊ฐ’์— ๋”ฐ๋ฅธ ์œ ๋™ ํŒจํ„ด ๋ถ„์„
    • Fr ๊ฐ’์— ๋”ฐ๋ผ ํ๋ฆ„์ด ์–ด๋–ป๊ฒŒ ๋ณ€ํ™”ํ•˜๋Š”์ง€ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•จ.
    • Fr < 1: ๋ถ€๋ฅ˜(subcritical flow) โ†’ ์ค‘๋ ฅํŒŒ ์ „ํŒŒ ๊ฐ€๋Šฅ, ์œ ๋™ ์•ˆ์ •์ .
    • Fr = 1: ์ž„๊ณ„๋ฅ˜(critical flow) โ†’ ์ตœ์†Œ ์—๋„ˆ์ง€๋ฅผ ๊ฐ€์ง€๋ฉฐ, ์„ค๊ณ„์—์„œ ์ค‘์š”ํ•œ ๊ธฐ์ค€์ด ๋จ.
    • Fr > 1: ์‚ฌ๋ฅ˜(supercritical flow) โ†’ ๋‚œ๋ฅ˜๊ฐ€ ๊ฐ•ํ•˜๋ฉฐ, ์—๋„ˆ์ง€ ์†Œ์‚ฐ์ด ํ•„์š”ํ•จ.
  3. Fr ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ ํ‰๊ฐ€
    • Fr์„ ํ™œ์šฉํ•œ ์„ค๊ณ„ ๊ธฐ์ค€์„ ๋„์ถœํ•˜์—ฌ, ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„ ๋ฐ ์œ ์ง€๊ด€๋ฆฌ์—์„œ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ๊ฒ€ํ† ํ•จ.
    • ์‹ค๋ฌด ์—”์ง€๋‹ˆ์–ด๋ง์—์„œ Fr์„ ํšจ๊ณผ์ ์œผ๋กœ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•จ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. Fr๊ณผ ์œ ๋™ ํŠน์„ฑ์˜ ๊ด€๊ณ„
    • Fr ๊ฐ’์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๊ณ , ์—๋„ˆ์ง€ ์†Œ์‚ฐ์ด ํ•„์š”ํ•จ.
    • Fr ๊ฐ’์ด 1์— ๊ฐ€๊นŒ์šธ์ˆ˜๋ก ์œ ๋™ ์•ˆ์ •์„ฑ์ด ๋†’์•„์ง€๋ฉฐ, ์ตœ์  ์„ค๊ณ„ ์กฐ๊ฑด์œผ๋กœ ๊ณ ๋ ค ๊ฐ€๋Šฅํ•จ.
    • ์—ฌ์ˆ˜๋กœ์™€ ๊ฐ™์€ ๊ธ‰๊ฒฝ์‚ฌ ํ๋ฆ„์—์„œ๋Š” ๋†’์€ Fr ๊ฐ’์ด ๊ด€์ฐฐ๋˜์—ˆ์œผ๋ฉฐ, ์—๋„ˆ์ง€ ์†Œ์‚ฐ ๊ตฌ์กฐ๋ฌผ ํ•„์š”์„ฑ์ด ํ™•์ธ๋จ.
  2. CFD ๋ฐ ์‹คํ—˜ ๊ฒ€์ฆ ๊ฒฐ๊ณผ
    • CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ฐ„ ํ‰๊ท  ์˜ค์ฐจ์œจ์€ 5% ์ด๋‚ด๋กœ ๋‚˜ํƒ€๋‚˜ ์‹ ๋ขฐ์„ฑ์ด ๋†’์Œ.
    • Fr์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์œ ๋Ÿ‰ ๋ฐ ์†๋„๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋ชจ๋ธ์ด ์‹คํ—˜๊ฐ’๊ณผ ๋†’์€ ์ƒ๊ด€์„ฑ์„ ๋ณด์ž„.
    • ๋‹ค์–‘ํ•œ ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์—์„œ Fr์„ ํ™œ์šฉํ•œ ํ•ด์„ ๊ธฐ๋ฒ•์ด ์ ์šฉ ๊ฐ€๋Šฅํ•จ์„ ํ™•์ธํ•จ.
  3. Fr ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ
    • Fr์„ ํ™œ์šฉํ•˜๋ฉด ๊ตฌ์กฐ๋ฌผ์˜ ์ตœ์  ์œ ๋™ ์กฐ๊ฑด์„ ๋„์ถœํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ธฐ์กด ์„ค๊ณ„ ๊ธฐ์ค€์„ ๋ณด์™„ํ•  ์ˆ˜ ์žˆ์Œ.
    • ์ˆ˜๋กœ ๋ฐ ์—ฌ์ˆ˜๋กœ ์„ค๊ณ„์—์„œ Fr์„ ๊ณ ๋ คํ•œ ํ๋ฆ„ ์•ˆ์ •ํ™” ๊ธฐ๋ฒ•์ด ํ•„์š”ํ•จ.
    • ์œ ์ง€๊ด€๋ฆฌ ์ธก๋ฉด์—์„œ๋„ Fr์„ ํ™œ์šฉํ•˜๋ฉด ์œ ๋™ ์ƒํƒœ๋ฅผ ๋น ๋ฅด๊ฒŒ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ์Œ.
  4. ์‚ฐ์—…์  ์ ์šฉ ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ
    • Fr์„ ํ™œ์šฉํ•œ ์„ค๊ณ„ ์ตœ์ ํ™”๋Š” ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์˜ ํšจ์œจ์„ฑ๊ณผ ์•ˆ์ •์„ฑ์„ ๋†’์ด๋Š” ๋ฐ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Œ.
    • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ํ๋ฆ„ ์กฐ๊ฑด์—์„œ Fr์„ ์ ์šฉํ•œ ์ถ”๊ฐ€ ์‹คํ—˜ ๋ฐ ํ•ด์„์ด ํ•„์š”ํ•จ.
    • ์‹ค๋ฌด ์ ์šฉ์„ฑ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด Fr ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ๊ฐœ๋ฐœํ•  ํ•„์š”๊ฐ€ ์žˆ์Œ.

๊ฒฐ๋ก 

  • ํ”„๋กœ์šฐ๋“œ ์ˆ˜(Fr)๋Š” ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์˜ ์œ ๋™ ์กฐ๊ฑด์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ ํšจ๊ณผ์ ์ž„.
  • Fr ๊ฐ’์ด 1์— ๊ฐ€๊นŒ์šธ์ˆ˜๋ก ์œ ๋™ ์•ˆ์ •์„ฑ์ด ๋†’์•„์ง€๋ฉฐ, ์„ค๊ณ„ ๊ธฐ์ค€์œผ๋กœ ํ™œ์šฉ ๊ฐ€๋Šฅํ•จ.
  • CFD ๋ฐ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ฒ€์ฆ ๊ฒฐ๊ณผ, Fr์„ ์ด์šฉํ•œ ํ•ด์„ ๊ธฐ๋ฒ•์ด ๋†’์€ ์‹ ๋ขฐ์„ฑ์„ ๋ณด์ž„.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์—์„œ Fr ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ์ตœ์ ํ™” ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•จ.

Reference

  1. Flow-3D, www.flow3d.com.
  2. N. R. Green and J. Campbell, Influence in Oxide Film Filling Defects on the Strength of Al-7Si-Mg Alloy Castings, Transactions of the American Foundry Society 114 (1994) 341-347.
  3. R. Cuesta, A. Delgado, A. Maroto and D. Mozo, Numerically Modelling Oxide Entrainment in the Filling of Castings: The Effect of the Webber Number, Journal of Materials 58 (2006) 62-65.
  4. J. Campbell, Castings (Butterworth Heinemann, 1991).
  5. J. Campbell, Castings 2nd Edition (Butterworth Heinemann, 2003).
  6. H. Chanson, Environmental Hydraulics of Open Channel Flows (Elsevier Butterworth-Heinemann, Oxford, 2004).
  7. H. Chanson, Air Bubble Entrainment in Free-Surface Turbulent Shear Flows (Academic press, London, 1995).
  8. B. S. Massey, Mechanics of Fluids 6th Edition (Chapman & Hall, 1992).
  9. M. Holliday, The Real-Time X-Ray Optimisation of the Sprue/Runner Junction, in “School of Metallurgy and Materials” (The University of Birmingham, Birmingham, 1998).
  10. J. Campbell, Review of Computer Simulation Versus Casting Reality, Modelling of Casting, Welding and Advanced Solidification Processes VII (1995) 907-935.
  11. F.-Y. Hsu, Further Developments of Running Systems for Aluminium Castings, (The University of Birmingham, 2003).
  12. C. Reilly, Surge Control Systems for Gravity Castings, in “The School of Mechanical and Manufacturing Engineering” (The University of Birmingham, Birmingham, 2006).
  13. M. Cox and R. A. Harding, The Influence of Tilt Filling on the Weibull Modulus of 2199 Aluminium Investment Castings, Materials Science and Technology 23 (2007) 214-224.

Water-Rock interaction

Using Computational Fluid Dynamics (CFD) Simulation with FLOW-3D to Reveal the Origin of the Mushroom Stone in the Xiqiao Mountain of Guangdong, China

FLOW-3D ๊ธฐ๋ฐ˜ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ ๊ด‘๋‘ฅ์„ฑ ์‹œ์ฐจ์˜ค์‚ฐ ๋ฒ„์„ฏ ๋Œ ํ˜•์„ฑ ์›์ธ ๋ถ„์„

์—ฐ๊ตฌ ๋ชฉ์ 

  • ๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3Dยฎ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ™œ์šฉํ•˜์—ฌ Xiqiao Mountain(์‹œ์ฐจ์˜ค์‚ฐ)์˜ ๋ฒ„์„ฏ ๋Œ(Mushroom Stone) ํ˜•์„ฑ ๊ณผ์ •์„ ๊ทœ๋ช…ํ•จ.
  • ๊ธฐ์กด ์—ฐ๊ตฌ์—์„œ๋Š” ์œ ์ˆ˜ ์นจ์‹(stream water erosion)์ด ์ฃผ์š” ํ˜•์„ฑ ์›์ธ์œผ๋กœ ์ œ์‹œ๋˜์—ˆ์œผ๋‚˜, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” CFD ๋ถ„์„์„ ํ†ตํ•ด ์นจ์‹ ์™ธ์—๋„ ํ™”ํ•™์  ๋ฐ ๋ฌผ๋ฆฌ์  ํ’ํ™” ์ž‘์šฉ์ด ๊ฒฐ์ •์ ์ธ ์—ญํ• ์„ ํ–ˆ์Œ์„ ์ž…์ฆํ•˜๊ณ ์ž ํ•จ.
  • ๊ด‘๋ฌผ ๋ถ„์„ ๋ฐ ํ˜„์žฅ ์กฐ์‚ฌ์™€ ํ•จ๊ป˜ ์ปดํ“จํ„ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ๋ฌผ๋ฆฌ์ , ํ™”ํ•™์  ํ’ํ™” ์ž‘์šฉ๊ณผ ์œ ๋™ ์—ญํ•™ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํ‰๊ฐ€ํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ํ˜„์žฅ ์กฐ์‚ฌ ๋ฐ ์ƒ˜ํ”Œ๋ง
    • ๋“œ๋ก (DJI Phantom 4 RTK)์„ ํ™œ์šฉํ•˜์—ฌ ๋ฒ„์„ฏ ๋Œ์˜ 3D ์ง€ํ˜• ๋ฐ์ดํ„ฐ๋ฅผ ์ •๋ฐ€ ์ธก์ •.
    • ์•”์„ ์‹œ๋ฃŒ 7๊ฐœ๋ฅผ ์„œ๋กœ ๋‹ค๋ฅธ ์œ„์น˜์—์„œ ์ฑ„์ทจํ•˜์—ฌ **๊ด‘๋ฌผ ๋ถ„์„(mineralogical analysis)**์„ ์ˆ˜ํ–‰ํ•จ.
    • ์ง€์งˆ ๋‚˜์นจ๋ฐ˜์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฒ„์„ฏ ๋Œ ๊ณก๋ฉด์˜ ๋ฐฉํ–ฅ ๋ฐ ์นจ์‹ ํŒจํ„ด์„ ๊ธฐ๋กํ•จ.
  2. FLOW-3Dยฎ ๊ธฐ๋ฐ˜ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜
    • ์ž์œ  ํ‘œ๋ฉด ์œ ๋™(Free Surface Flow)์„ ๋ชจ๋ธ๋งํ•˜์—ฌ ํ™์ˆ˜ ์‹œ ๋ฒ„์„ฏ ๋Œ ์ฃผ๋ณ€์˜ ์œ ์† ๋ฐ ์••๋ ฅ ๋ถ„ํฌ๋ฅผ ๋ถ„์„.
    • ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์ ์šฉ: RANS(Reynolds-Averaged Navier-Stokes) ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํšจ๊ณผ๋ฅผ ๊ณ ๋ คํ•จ.
    • ๋ชจ์˜ ํ™์ˆ˜ ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์—ฌ ํ™์ˆ˜ ์‹œ๊ธฐ ๋ฌผ์˜ ํ๋ฆ„์ด ๋ฒ„์„ฏ ๋Œ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•จ.
  3. ๊ฒฐ๊ณผ ๋น„๊ต ๋ฐ ๊ฒ€์ฆ
    • ๊ด‘๋ฌผ ๋ถ„์„ ๋ฐ์ดํ„ฐ ๋ฐ ํ˜„์žฅ ์กฐ์‚ฌ ๊ฒฐ๊ณผ๋ฅผ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๋น„๊ตํ•˜์—ฌ ํ’ํ™” ๋ฐ ์นจ์‹ ๊ธฐ์ž‘์„ ๊ฒ€์ฆ.
    • ์นจ์‹ ํŒจํ„ด, ์œ ์†, ์••๋ ฅ ๋ถ„ํฌ ๋“ฑ์„ ์ข…ํ•ฉ ๋ถ„์„ํ•˜์—ฌ ๋ฒ„์„ฏ ๋Œ ํ˜•์„ฑ์˜ ์ฃผ์š” ๊ธฐ์ž‘์„ ๋„์ถœํ•จ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ํ™์ˆ˜ ์‹œ ๋ฒ„์„ฏ ๋Œ ์ฃผ๋ณ€ ์œ ๋™ ํŠน์„ฑ
    • ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ, ์ตœ๊ณ  ์œ ์†์€ ๋ฒ„์„ฏ ๋Œ์˜ ์ธก๋ฉด์—์„œ ๋ฐœ์ƒํ•˜๋ฉฐ, ์ „ยทํ›„๋ฉด์—์„œ๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์€ ์œ ์†์„ ๋ณด์ž„.
    • ๋ฒ„์„ฏ ๋Œ์˜ ์ „๋ฉด(์ƒ๋ฅ˜ ๋ฐฉํ–ฅ)์—์„œ๋Š” ๊ณ ์••๋ ฅ์ด ๋ฐœ์ƒํ•˜์—ฌ ์•„๋ž˜์ชฝ์œผ๋กœ ํ๋ฆ„์ด ์ง‘์ค‘๋จ, ์ด๋Š” ํ•˜๋ถ€ ์นจ์‹์„ ์œ ๋„ํ•จ.
    • ๊ทธ๋Ÿฌ๋‚˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ, ๋ฒ„์„ฏ ๋Œ์˜ ์ข์€ ํ•˜๋ถ€ ๊ตฌ์กฐ๋Š” ๋‹จ์ˆœํ•œ ์œ ์ˆ˜ ์นจ์‹๋งŒ์œผ๋กœ ํ˜•์„ฑ๋  ์ˆ˜ ์—†์Œ์„ ๋ณด์—ฌ์คŒ.
  2. ๋ฒ„์„ฏ ๋Œ ์นจ์‹ ํŒจํ„ด ๋ฐ ํ’ํ™” ์ž‘์šฉ
    • CFD ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ฒ„์„ฏ ๋Œ ํ•˜๋ถ€(ํ’ํ•˜์ธก)์— ํ‡ด์ ๋ฌผ์ด ์ง‘์ค‘์ ์œผ๋กœ ํ˜•์„ฑ๋˜๋ฉฐ, ์ด๋Š” ์นจ์‹๋ณด๋‹ค ํ‡ด์  ๊ณผ์ •์ด ๋” ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ–ˆ์Œ์„ ์‹œ์‚ฌํ•จ.
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ต ์‹œ, ์œ ์ˆ˜ ์นจ์‹๋งŒ์œผ๋กœ๋Š” ํ˜„์žฅ์—์„œ ๊ด€์ฐฐ๋œ ๊ณก๋ฉด ๊ตฌ์กฐ๋ฅผ ์žฌํ˜„ํ•  ์ˆ˜ ์—†์Œ.
    • ๋Œ€์‹ , ์žฅ๊ธฐ๊ฐ„ ํ‡ด์ ๋ฌผ์ด ์ถ•์ ๋˜๋ฉด์„œ ํ™”ํ•™์  ๋ฐ ๋ฌผ๋ฆฌ์  ํ’ํ™” ์ž‘์šฉ์ด ์ง„ํ–‰๋˜์—ˆ์„ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์Œ.
  3. ๊ด‘๋ฌผ ๋ถ„์„ ๊ฒฐ๊ณผ ๋ฐ ํ’ํ™” ์ž‘์šฉ
    • XRD(X-ray diffraction) ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ฒ„์„ฏ ๋Œ ํ•˜๋ถ€์˜ ์•”์„์€ ์„๊ณ (gypsum) ๋ฐ ์ ํ†  ๊ด‘๋ฌผ ํ•จ๋Ÿ‰์ด ๋†’์œผ๋ฉฐ, ์ด๋Š” ํ™”ํ•™์  ํ’ํ™”๊ฐ€ ํ™œ๋ฐœํ•˜๊ฒŒ ์ง„ํ–‰๋˜์—ˆ์Œ์„ ์˜๋ฏธํ•จ.
    • ์„๊ณ  ํฌ๋ฆฌ์Šคํƒˆ์ด ์„ฑ์žฅํ•˜๋ฉด์„œ ์•”์„ ๋‚ด๋ถ€ ๊ท ์—ด์„ ์œ ๋ฐœํ•˜๋Š” ํ• ๋กœํด๋ž˜์Šคํ‹ฐ(haloclasty) ํ˜„์ƒ์ด ๊ด€์ฐฐ๋จ.
    • ์žฅ๊ธฐ๊ฐ„ ํ‡ด์ ์ธต ๋‚ด์— ์กด์žฌํ–ˆ๋˜ ์•”์„์ด ํ™”ํ•™์  ํ’ํ™” ๋ฐ ์ˆ˜๋ถ„์— ์˜ํ•œ ์—ฐํ™” ์ž‘์šฉ์œผ๋กœ ์•ฝํ•ด์ง„ ํ›„, ์™ธ๋ถ€ ํ‡ด์ ๋ฌผ์ด ์ œ๊ฑฐ๋˜๋ฉด์„œ ๋ฒ„์„ฏ ๋Œ ํ•˜๋ถ€์˜ ๊ณก๋ฉด์ด ํ˜•์„ฑ๋จ.
  4. ๋ฒ„์„ฏ ๋Œ ํ˜•์„ฑ ๊ณผ์ • ๋ฐ ์ฃผ์š” ๊ธฐ์ž‘ ์ •๋ฆฌ
    • 1๋‹จ๊ณ„: ๋ฒ„์„ฏ ๋Œ์ด ํ‡ด์ ๋ฌผ ์†์— ๋งค๋ฆฝ๋จ โ†’ ์žฅ๊ธฐ๊ฐ„ ํ‡ด์ ๋ฌผ ๋‚ด์—์„œ ํ™”ํ•™์  ํ’ํ™”๊ฐ€ ์ง„ํ–‰๋จ.
    • 2๋‹จ๊ณ„: ํ‡ด์ ๋ฌผ ์ œ๊ฑฐ ํ›„, ํ’ํ™”๋œ ์•”์„์ด ๋…ธ์ถœ๋˜๋ฉด์„œ ๋‚ด๋ถ€ ๊ณก๋ฉด์ด ํ˜•์„ฑ๋จ.
    • 3๋‹จ๊ณ„: ์ถ”๊ฐ€์ ์ธ ๊ธฐ๊ณ„์  ํ’ํ™” ๋ฐ ์„๊ณ  ๊ฒฐ์ • ์„ฑ์žฅ์ด ๋‚ด๋ถ€ ๊ท ์—ด์„ ์œ ๋ฐœํ•˜๋ฉฐ ํ˜„์žฌ์˜ ๋ฒ„์„ฏ ๋Œ ํ˜•ํƒœ๊ฐ€ ์™„์„ฑ๋จ.

๊ฒฐ๋ก 

  • ์œ ์ˆ˜ ์นจ์‹๋งŒ์œผ๋กœ ๋ฒ„์„ฏ ๋Œ์ด ํ˜•์„ฑ๋˜์—ˆ๋‹ค๋Š” ๊ธฐ์กด ๊ฐ€์„ค์€ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์ผ์น˜ํ•˜์ง€ ์•Š์Œ.
  • ๊ด‘๋ฌผ ๋ถ„์„ ๋ฐ ํ™”ํ•™์  ํ’ํ™” ๋ชจ๋ธ๋ง ๊ฒฐ๊ณผ, ํ• ๋กœํด๋ž˜์Šคํ‹ฐ(haloclasty) ๋ฐ ์Šต์œค ์—ฐํ™”(softening due to moisture) ์ž‘์šฉ์ด ๋ฒ„์„ฏ ๋Œ ํ˜•์„ฑ์˜ ์ฃผ์š” ๊ธฐ์ž‘์œผ๋กœ ํ™•์ธ๋จ.
  • CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ ์ˆ˜๋ ฅํ•™์  ํ•ด์„๊ณผ ๊ด‘๋ฌผ ๋ถ„์„์„ ๊ฒฐํ•ฉํ•˜์—ฌ ์ž์—ฐ ์•”์„ ํ˜•์„ฑ ๊ธฐ์ž‘์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๋Š” ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•จ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ์žฅ๊ธฐ์ ์ธ ํ’ํ™” ์†๋„ ๋ฐ ์ถ”๊ฐ€์ ์ธ ์œ ์ฒด-์•”์„ ์ƒํ˜ธ์ž‘์šฉ ๋ชจ๋ธ๋ง์„ ์ˆ˜ํ–‰ํ•ด์•ผ ํ•จ.

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  20. Istiyato I, Graf WH (2001) Experiments on flow around a cylinder in a scoured channel bed. Int J Sediment Res 16: 431- 444. https://doi.org/CNKI:SUN:GJNS.0.2001-04-000
  21. Jafari M, Ayyoubzadeh SA, Esmaeili-Varaki M, et al. (2017) Simulation of Flow Pattern around Inclined Bridge Group Pier using FLOW-3D Software. J Water Soil 30: 1860-1873. https://doi.org/10.22067/jsw.v30i6.47112
  22. Jalal HK, Hassan WH (2020) Three-dimensional numerical simulation of local scour around circular bridge pier using Flow-3D software. 2020 IOP Conf Ser: Mater Sci Eng 745 012150. https://doi.org/10.1088/1757-899X/745/1/012150
  23. Knippers J (2017) The Limits of Simulation: Towards a New Culture of Architectural Engineering. Technol Archit Des 1: 155-162. https://doi.org/10.1080/24751448.2017.1354610
  24. Komar PD (1983) Shapes of streamlined islands on Earth and Mars โ€” experiments and analyses of the minimum-drag form. Geology 11: 651โ€“654. https://doi.org/10.1130/0091-7613(1983)112.0.CO;2
  25. Li JC, Wang W, Zheng YM (2019). Origin of the Mushroom Stone Forest at the southeastern foot of the Little Sangpu Mountain in eastern Guangdong, China: A palaeo-sea-level indicator or not? J Mt Sci 116: 487-503. https://doi.org/10.1007/s11629-018-5181-1
  26. Luo CK, Zhou YH, Yang XQ, et al. (2004) Formation, classification and synthetical evolution of the geological tourism landscapes at the XiQiao Hill, Guangdong. Trop Geogr 24: 387-390. https://doi.org/10.13284/j.cnki.rddl.000864 (In Chinese)
  27. Mcbride EF, Picard MD (2000) Origin and development of tafoni in tunnel spring tuff, crystal peak, Utah, USA. Earth Surf Process Landf 25: 869-879. https://doi.org/10.1002/1096-9837(200008)25::8<869:AIDESP104>3.0.CO;2-F
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Way

Three-dimensional numerical simulation of flow in trapezoidal cutthroat flumes based on FLOW-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ปท์Šค๋กœํŠธ ํ”Œ๋ฃธ(Trapezoidal Cutthroat Flume) ๋‚ด ์œ ๋™์˜ 3์ฐจ์› ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ๋ฌผ ๋ถ€์กฑ ๋ฌธ์ œ๊ฐ€ ์‹ฌํ™”๋จ์— ๋”ฐ๋ผ ๋†์—…์šฉ ๊ด€๊ฐœ ์‹œ์Šคํ…œ์—์„œ์˜ ํšจ์œจ์ ์ธ ๋ฌผ ๋ฐฐ๋ถ„์ด ํ•„์ˆ˜์ ์ด๋‹ค.
    • ํ”Œ๋ฃธ(Flume)์€ ๊ฐœ๋ฐฉ ์ˆ˜๋กœ(Open Channel)์—์„œ ์œ ๋Ÿ‰์„ ์ธก์ •ํ•˜๋Š” ์žฅ์น˜๋กœ, ๊ธฐ์กด์˜ ์ง์‚ฌ๊ฐํ˜• ์ปท์Šค๋กœํŠธ ํ”Œ๋ฃธ(Rectangular Cutthroat Flume)์€ ํฐ ์ˆ˜๋‘ ์†์‹ค(Head Loss)๊ณผ ์‹œ๊ณต์˜ ์–ด๋ ค์›€์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค.
    • ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ฑ„๋„(Trapezoidal Channel)์— ์ ํ•ฉํ•œ ์œ ๋Ÿ‰ ์ธก์ • ๊ตฌ์กฐ๋ฌผ์˜ ๋ถ€์žฌ๋กœ ์ธํ•ด, ์ •ํ™•ํ•œ ์œ ๋Ÿ‰ ์ธก์ •์ด ์–ด๋ ค์šด ๋ฌธ์ œ๊ฐ€ ์กด์žฌํ•œ๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ปท์Šค๋กœํŠธ ํ”Œ๋ฃธ์˜ 3์ฐจ์› ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์œ ๋™ ํŠน์„ฑ(์†๋„ ๋ถ„ํฌ, Froude ์ˆ˜, ์ˆ˜๋‘ ์†์‹ค) ๋ถ„์„.
    • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ๊ณผ TruVOF ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ์˜ ์ˆ˜์น˜ ๋ชจ๋ธ ๊ฒ€์ฆ ๋ฐ ์„ฑ๋Šฅ ํ‰๊ฐ€.
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๊ฒ€์ฆ ๋ฐ ํšŒ๊ท€ ๋ถ„์„์„ ํ†ตํ•œ ๋ฐฉ๋ฅ˜์‹ ๊ฐœ๋ฐœ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ๋ฌผ๋ฆฌ ๋ชจ๋ธ ๋ฐ ์‹คํ—˜ ์„ค์ •
    • ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ปท์Šค๋กœํŠธ ํ”Œ๋ฃธ ์„ค๊ณ„:
      • ๊ธธ์ด 1.80m, ๋†’์ด 0.5m, ์‚ฌ๋‹ค๋ฆฌ๊ผด ๋ชฉ๋ถ€(Throat)์˜ ๋ฐ”๋‹ฅ ํญ 0.18m, ์ธก๋ฒฝ ๊ธฐ์šธ๊ธฐ 75ยฐ.
      • ์ˆ˜๋ ด๋ถ€(Converging Section), ๋ชฉ๋ถ€(Throat Section), ๋ฐœ์‚ฐ๋ถ€(Diverging Section)์˜ 14๊ฐœ ์ธก์ • ๋‹จ๋ฉด์„ ํ†ตํ•ด ์ˆ˜๋ฆฌํ•™์  ๋งค๊ฐœ๋ณ€์ˆ˜ ์ธก์ •.
    • ์‹คํ—˜ ์‹œ์Šคํ…œ ๊ตฌ์„ฑ:
      • ์ €์ˆ˜์กฐ, ํŽŒํ•‘ ์Šคํ…Œ์ด์…˜, ์ „์ž๊ธฐ ์œ ๋Ÿ‰๊ณ„, ์กฐ์ ˆ ๋ฐธ๋ธŒ, ์•ˆ์ •ํ™” ์—ฐ๋ชป, ๊ณต๊ธ‰ ํŒŒ์ดํ”„, ํ…Œ์ผ๊ฒŒ์ดํŠธ, 90ยฐ V-notch ์œ„์–ด(Weir)๋กœ ๊ตฌ์„ฑ.
      • ๋‚ฎ์€ ์ˆ˜๋‘ ์†์‹ค๊ณผ ๋†’์€ ์ธก์ • ์ •ํ™•๋„๋ฅผ ๋ชฉํ‘œ๋กœ ์„ค๊ณ„.
  2. ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ ๋ชจ๋ธ๋ง
    • FLOW-3D์˜ RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ ๋ฐ TruVOF ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ๋™ ์‹œ๋ฎฌ๋ ˆ์ด์…˜.
    • ์—ฐ์† ๋ฐฉ์ •์‹(Continuity Equation) ๋ฐ Navier-Stokes ๋ฐฉ์ •์‹์„ ํ†ตํ•ด ๋น„์••์ถ•์„ฑ ๋‰ดํ„ด ์œ ์ฒด ํ๋ฆ„ ๋ชจ๋ธ๋ง.
    • ๊ฒฉ์ž ์„ค์ •:
      • ๊ฒฉ์ž ํฌ๊ธฐ 0.02m ร— 0.02m ร— 0.02m, ์ด 78๋งŒ 3์ฒœ ๊ฐœ์˜ ๊ฒฉ์ž ์‚ฌ์šฉ.
      • FAVOR(Fractional Area Volume Obstacle Representation) ๋ฐฉ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ํ˜•์ƒ์—์„œ๋„ ๋†’์€ ์ •ํ™•๋„ ๋ณด์žฅ.
    • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •:
      • ์ž…์ถœ๊ตฌ ๊ฒฝ๊ณ„: ์œ ๋Ÿ‰ ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ์ž๋™ ์œ ์ฒด ๋†’์ด ์กฐ์ ˆ.
      • ๋ฒฝ๋ฉด(Wall Boundary): ๋น„ํˆฌ๊ณผ์„ฑ(Impermeable) ๊ฒฝ๊ณ„ ์กฐ๊ฑด.
      • ์ƒ๋‹จ(Top Boundary): ๋Œ€์นญ ๊ฒฝ๊ณ„(Symmetry Boundary).

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ๋ชจ๋ธ ๊ฒ€์ฆ ๋ฐ ์†๋„ ๋ถ„ํฌ ๋ถ„์„
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ํ‰๊ท  ์†๋„ ๋น„๊ต์—์„œ ์ƒ๋Œ€ ์˜ค์ฐจ 10% ๋ฏธ๋งŒ.
    • ์ˆ˜๋ ด๋ถ€์—์„œ๋Š” Froude ์ˆ˜๊ฐ€ 0.5 ๋ฏธ๋งŒ, ๋ชฉ๋ถ€์—์„œ ์ž„๊ณ„ ํ๋ฆ„(Critical Flow)์ด ๋‚˜ํƒ€๋‚จ.
    • ๋ฐœ์‚ฐ๋ถ€์—์„œ๋Š” Froude ์ˆ˜๊ฐ€ ๊ฐ์†Œ, ์ˆ˜๋‘ ์†์‹ค์ด ๊ธฐ์กด ์ง์‚ฌ๊ฐํ˜• ํ”Œ๋ฃธ ๋Œ€๋น„ ์•ฝ 9% ๊ฐ์†Œ.
  2. ์ˆ˜๋‘ ์†์‹ค(Head Loss) ๋น„๊ต
    • ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ปท์Šค๋กœํŠธ ํ”Œ๋ฃธ์˜ ์ˆ˜๋‘ ์†์‹ค์€ ์ตœ๋Œ€ 8.955%๋กœ, ์ง์‚ฌ๊ฐํ˜• ํ”Œ๋ฃธ์˜ 11.097%๋ณด๋‹ค ๋‚ฎ์Œ.
    • ์œ ๋Ÿ‰ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ์ˆ˜๋‘ ์†์‹ค ๋ณ€ํ™” ๋ถ„์„์—์„œ 0.045 mยณ/s ์ด์ƒ์˜ ์œ ๋Ÿ‰์—์„œ๋Š” ์ˆ˜๋‘ ์†์‹ค ์ฆ๊ฐ€์œจ์ด ๊ฐ์†Œ.
  3. ๋ฐฉ๋ฅ˜ ๊ณ„์‚ฐ์‹(Discharge Calculation Formula) ๋„์ถœ
    • ์ž์œ  ํ๋ฆ„(Free Flow) ๋ฐ ์นจ์ˆ˜ ํ๋ฆ„(Submerged Flow) ์กฐ๊ฑด์—์„œ์˜ ํšŒ๊ท€ ๋ถ„์„์„ ํ†ตํ•ด ๋ฐฉ๋ฅ˜ ๊ณ„์‚ฐ์‹ ๊ฐœ๋ฐœ.
    • ์ƒ๋ฅ˜ ๊นŠ์ด์™€ ๋ฐฉ๋ฅ˜๋Ÿ‰ ๊ฐ„์˜ ์ƒ๊ด€๊ณ„์ˆ˜ 0.992, 5% ์ด๋‚ด์˜ ์˜ค์ฐจ์œจ์„ ๋ณด์ด๋ฉฐ ๋†์—…์šฉ ๊ด€๊ฐœ ์‹œ์Šคํ…œ์˜ ์ •ํ™•๋„ ์š”๊ฑด ์ถฉ์กฑ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ปท์Šค๋กœํŠธ ํ”Œ๋ฃธ์ด ์ง์‚ฌ๊ฐํ˜• ํ”Œ๋ฃธ ๋Œ€๋น„ ๋†’์€ ์ธก์ • ์ •ํ™•๋„์™€ ๋‚ฎ์€ ์ˆ˜๋‘ ์†์‹ค์„ ์ œ๊ณต.
    • ๋‹จ์ˆœํ•œ ๊ตฌ์กฐ, ์ €๋น„์šฉ, ๋‹ค์–‘ํ•œ ์ˆ˜์ž์› ์กฐ๊ฑด์—์„œ์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ์ž…์ฆ.
    • ํŠนํžˆ ๊ณ ์นจ์ „๋ฌผ ํ™˜๊ฒฝ์—์„œ๋„ ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์ž„.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ๋‹ค์–‘ํ•œ ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ฑ„๋„ ๊ธฐ์šธ๊ธฐ ๋ฐ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ์˜ ์„ฑ๋Šฅ ํ‰๊ฐ€.
    • AI ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ™œ์šฉํ•œ ์‹ค์‹œ๊ฐ„ ์œ ๋Ÿ‰ ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ๋ฐœ.
    • ์žฅ๊ธฐ์ ์ธ ํ˜„์žฅ ์‹คํ—˜์„ ํ†ตํ•œ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ ๊ฐ•ํ™”.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์‚ฌ๋‹ค๋ฆฌ๊ผด ์ปท์Šค๋กœํŠธ ํ”Œ๋ฃธ์˜ ์œ ๋™ ํŠน์„ฑ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์ •ํ™•ํ•œ ์œ ๋Ÿ‰ ์ธก์ • ๋ฐ ์ˆ˜์ž์› ๊ด€๋ฆฌ ํšจ์œจ์„ฑ์„ ๋†’์ด๋Š” ์„ค๊ณ„ ๊ธฐ์ค€์„ ์ œ์‹œํ•˜๋ฉฐ, ๋†์—…์šฉ ๊ด€๊ฐœ ์‹œ์Šคํ…œ์˜ ๋ฌผ ์ ˆ์•ฝ ๋ฐ ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋‹คโ€‹.

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  6. Cone V M. The Venturi flume. Journal of Agricultural Research, 1917, 6(4): 115โ€“129
  7. Parshall R L. The improved Venturi flume. Transactions of the American Society of Civil Engineers, 1926, 89(1): 841โ€“851
  8. Skogerboe G V, Hyatt M L. Rectangular cutthroat flow measuring flumes. Proceedings of the American Society of Civil Engineers, 1967, 93(IR4): 1โ€“13
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  16. Jing S Y, Wang L, Du H, Wei G. Applications of FLOW-3D in numerical simulation of fluid-structure interaction. The 13th National Hydrodynamic Academic Conference and the TwentySixth National Hydrodynamics Seminar, 2017, 423โ€“428
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Velocity Magnitude

Study of Velocity, Flow Depth and Froude Number of HDPE Diagonal Modular Pavement Using FLOW-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ HDPE ๋Œ€๊ฐ์„  ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ(HDP Diagonal Modular Pavement)์˜ ์†๋„, ์œ ๋™ ๊นŠ์ด ๋ฐ Froude ์ˆ˜ ์—ฐ๊ตฌ

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ๊ธฐ์กด์˜ ์•„์ŠคํŒ”ํŠธ ํฌ์žฅ ๋„๋กœ๋Š” ๋ฌผ์˜ ์ž์—ฐ์Šค๋Ÿฌ์šด ํ๋ฆ„์„ ๋ฐฉํ•ดํ•˜๊ณ  ํ™์ˆ˜ ์œ„ํ—˜์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ํ™˜๊ฒฝ์  ๋ฌธ์ œ๋ฅผ ์ดˆ๋ž˜ํ•œ๋‹ค.
    • ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ ์‹œ์Šคํ…œ(Modular Pavement System)์€ ํˆฌ์ˆ˜์„ฑ ์žฌ๋ฃŒ์™€ ์ค‘์ฒฉ๋œ ๋นˆ ๊ณต๊ฐ„ ๊ตฌ์กฐ๋ฅผ ํ†ตํ•ด ๊ฐ•์šฐ ์œ ์ถœ์„ ์ค„์ด๊ณ  ์ง€ํ•˜์ˆ˜ ์žฌ์ถฉ์ „์„ ์ด‰์ง„ํ•  ์ˆ˜ ์žˆ๋‹ค.
    • ๊ทธ๋Ÿฌ๋‚˜ ๋ฌผ๋ฆฌ์  ์‹คํ—˜ ๋ฐฉ๋ฒ•์€ ๋น„์šฉ์ด ๋งŽ์ด ๋“ค๊ณ  ์‹œ๊ฐ„ ์†Œ๋ชจ์ ์ด๊ธฐ ๋•Œ๋ฌธ์—, ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ ํšจ์œจ์  ์„ค๊ณ„ ๋ฐฉ๋ฒ•์ด ํ•„์š”ํ•˜๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋Œ€๊ฐ์„  HDPE ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ ์‹œ์Šคํ…œ์˜ ์ˆ˜๋ฆฌ์  ํŠน์„ฑ(์†๋„, ์œ ๋™ ๊นŠ์ด, Froude ์ˆ˜)์„ ๋ถ„์„.
    • ๋ง๋ ˆ์ด์‹œ์•„ ์‹ค์ œ ๊ฐ•์šฐ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ๊ฐ•์šฐ ๊ฐ•๋„(5 mm/h ๋ฐ 85 mm/h)์— ๋”ฐ๋ฅธ ํฌ์žฅ์˜ ๋ฌผ ํก์ˆ˜ ๋Šฅ๋ ฅ ํ‰๊ฐ€.
    • ์˜ˆ๋น„ ์„ค๊ณ„ ๋ฐฉ๋ฒ•์œผ๋กœ์„œ์˜ FLOW-3D ์‚ฌ์šฉ ๊ฐ€๋Šฅ์„ฑ ๊ฒ€์ฆ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ํฌ์žฅ ๋ชจ๋ธ ์„ค๊ณ„ ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • AutoCAD๋ฅผ ์ด์šฉํ•ด ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ ๋ชจ๋ธ๋ง์„ ์ˆ˜ํ–‰ํ•˜๊ณ , FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด์—์„œ ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ง„ํ–‰.
    • ํฌ์žฅ ๋ชจ๋ธ ๊ตฌ์„ฑ:
      • ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ์ธต, ์ž๊ฐˆ์ธต, ๋ชจ๋ž˜์ธต์˜ 3๊ฐ€์ง€ ๋ ˆ์ด์–ด๋กœ ๊ตฌ์„ฑ.
      • HDPE ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ์€ 80 mm ์ง๊ฒฝ, 5 mm ๋‘๊ป˜์˜ ์–‡์€ ๋Œ€๊ฐ์„  ๊ธฐ๋‘ฅ ๊ตฌ์กฐ.
      • Jabatan Kerja Raya ํ‘œ์ค€์— ๋”ฐ๋ผ ์„ค๊ณ„.
    • ์ˆ˜์น˜ ๋ชจ๋ธ ์„ค์ •:
      • FLOW-3D์˜ VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ์ฒด ํ๋ฆ„ ๋ฐ ์œ ๋™ ๊นŠ์ด ์˜ˆ์ธก.
      • Navier-Stokes ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ 3์ฐจ์› ๋ถˆ์••์ถ•์„ฑ ์œ ๋™(Incompressible Flow) ์‹œ๋ฎฌ๋ ˆ์ด์…˜.
      • ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ ๋ชจ๋ธ์˜ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์€ ๋Œ€์นญ(Symmetry), ์—ฐ์†(Continuative), ์ฒด์  ์œ ๋Ÿ‰(Volume Flow Rate), ๋ฒฝ(Wall) ๊ฒฝ๊ณ„๋กœ ์„ค์ •.
  2. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹œ๋‚˜๋ฆฌ์˜ค ๋ฐ ๋ณ€์ˆ˜ ์„ค์ •
    • ๊ฐ•์šฐ ๊ฐ•๋„ ์‹œ๋‚˜๋ฆฌ์˜ค:
      • ๋‚ฎ์€ ๊ฐ•์šฐ(5 mm/h) ๋ฐ ๋†’์€ ๊ฐ•์šฐ(85 mm/h) ์กฐ๊ฑด์„ ์„ค์ •ํ•˜์—ฌ ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ์˜ ์œ ๋™ ํŠน์„ฑ ๋ถ„์„.
    • ์ธก์ • ๋ณ€์ˆ˜:
      • ์†๋„(์†๋„์˜ x, y, z ์„ฑ๋ถ„), ์œ ๋™ ๊นŠ์ด(Flow Depth), Froude ์ˆ˜(Fr)๋ฅผ ์ธก์ •.
      • Froude ์ˆ˜๋Š” ์œ ์†๊ณผ ๊ด€์„ฑ๋ ฅ์˜ ๋น„์œจ์„ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ์œ ๋™ ์ƒํƒœ(์„œ๋ธŒํฌ๋ฆฌํ‹ฐ์ปฌ ๋˜๋Š” ์Šˆํผํฌ๋ฆฌํ‹ฐ์ปฌ) ํ‰๊ฐ€์— ์‚ฌ์šฉ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์†๋„(X-, Y-, Z-๋ฐฉํ–ฅ) ๋ถ„์„
    • ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ:
      • x, y ์†๋„๋Š” z ์†๋„๋ณด๋‹ค ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚จ.
      • 200์ดˆ ์ดˆ๊ธฐ ๋‹จ๊ณ„์—์„œ x ์†๋„๋Š” 122.40 ~ 125.28 cm/h, 6000์ดˆ ํ›„์—๋Š” 68.04 ~ 78.12 cm/h๋กœ ๊ฐ์†Œ.
      • z ์†๋„๋Š” 40.68 ~ 44.28 cm/h(200์ดˆ)์—์„œ 22.32 ~ 30.6 cm/h(6000์ดˆ)๋กœ ๋‹ค์†Œ ์ ์€ ๋ณ€ํ™”๋ฅผ ๋ณด์ž„.
    • ์†๋„ ๊ฐ์†Œ ์›์ธ ๋ถ„์„:
      • ๋‚ฎ์€ ํ† ์–‘ ํˆฌ์ˆ˜์„ฑ์œผ๋กœ ์ธํ•ด ๊ฐ•์šฐ ๊ฐ•๋„๊ฐ€ ์œ ์†์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๋ฏธ๋ฏธ.
      • ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ ๊ตฌ์กฐ ๋‚ด ์ž‘์€ ๊ธฐ๊ณต(Pore Space)๊ณผ ๋ชจ์„ธ๊ด€ ํ˜„์ƒ(Capillarity) ์ œํ•œ์œผ๋กœ ์œ ์† ๊ฐ์†Œ.
  2. ์œ ๋™ ๊นŠ์ด(Flow Depth) ๋ณ€ํ™” ๋ถ„์„
    • ๋ชจ๋“  ๊ฐ•์šฐ ๊ฐ•๋„ ์กฐ๊ฑด(5 mm/h, 85 mm/h)์—์„œ ์œ ๋™ ๊นŠ์ด๋Š” 425.65 mm๋กœ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€.
    • ํฌ์žฅ ๋‚ด ๋ฌผ์˜ ์œ ์ž… ๋ฐ ์œ ์ถœ์ด ๊ท ํ˜•์„ ์ด๋ฃจ์–ด ์ •์ƒ ์ƒํƒœ(Steady State) ๋„๋‹ฌ.
    • ํฌ์žฅ ๊ตฌ์กฐ์˜ ํˆฌ์ˆ˜์„ฑ ๋•๋ถ„์— ๊ฐ•์šฐ ๊ฐ•๋„๊ฐ€ ์ฆ๊ฐ€ํ•ด๋„ ํ‘œ๋ฉด ์œ ์ถœ(Surface Runoff)์ด ๋ฐœ์ƒํ•˜์ง€ ์•Š์Œ.
  3. Froude ์ˆ˜(Fr) ํ‰๊ฐ€
    • ๋ชจ๋“  ๊ฐ•์šฐ ์กฐ๊ฑด์—์„œ Froude ์ˆ˜๋Š” 0์œผ๋กœ ์œ ์ง€, ์„œ๋ธŒํฌ๋ฆฌํ‹ฐ์ปฌ ํ๋ฆ„(Subcritical Flow, Fr < 1) ์ƒํƒœ.
    • ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ์ด ๋ฌผ ์ €์žฅ ๋ฐ ํˆฌ์ˆ˜ ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ํ๋ฆ„ ์—๋„ˆ์ง€๋ฅผ ๋‚ฎ์ถ”๊ณ  ๋‚œ๋ฅ˜(Turbulence) ๊ฐ์†Œ ํšจ๊ณผ.
    • ๋†’์€ Froude ์ˆ˜๋Š” ๋‚ฎ์€ ์ „๋‹จ๋ ฅ ๋ฐฉ์ถœ(Shear Force Discharge) ๋ฐ ๋†’์€ ์นจ์ „๋ฌผ ์šด๋ฐ˜ ์šฉ๋Ÿ‰์„ ์˜๋ฏธํ•˜์ง€๋งŒ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚ฎ์€ Fr ๊ฐ’์œผ๋กœ ์นจ์ „๋ฌผ ์šด๋ฐ˜ ๊ฐ์†Œ ํšจ๊ณผ ํ™•์ธ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ™œ์šฉํ•˜์—ฌ HDPE ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ์˜ ์ˆ˜๋ฆฌ์  ํŠน์„ฑ์„ ์ •ํ™•ํžˆ ๋ถ„์„ ๊ฐ€๋Šฅ.
    • ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ์ด ๊ฐ•์šฐ ์œ ์ถœ์„ ์ค„์ด๊ณ  ์ง€ํ•˜์ˆ˜ ์ถฉ์ „์— ํšจ๊ณผ์ ์ž„์„ ์ž…์ฆ.
    • ๋ง๋ ˆ์ด์‹œ์•„ ์‹ค์ œ ๊ฐ•์šฐ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ํ˜„์ง€ ์กฐ๊ฑด์—์„œ๋„ ์ ํ•ฉ์„ฑ์„ ๋ณด์ž„.
    • FLOW-3D๋Š” ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ ์„ค๊ณ„ ์‹œ ์˜ˆ๋น„ ํ‰๊ฐ€ ๋„๊ตฌ๋กœ ํ™œ์šฉ ๊ฐ€๋Šฅ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ๋‹ค์–‘ํ•œ ๊ฒฝ์‚ฌ(Slope) ์กฐ๊ฑด์—์„œ์˜ ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ ์„ฑ๋Šฅ ๋ถ„์„ ํ•„์š”.
    • ์ตœ์  ๊ฐ•์šฐ ๊ฐ•๋„ ๋ฐ ์นจํˆฌ ํšจ์œจ์„ฑ ํ‰๊ฐ€๋ฅผ ์œ„ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ™•์žฅ.
    • AI ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ™œ์šฉํ•œ ์‹ค์‹œ๊ฐ„ ์ˆ˜๋ฆฌ์  ์„ฑ๋Šฅ ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ๋ฐœ.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ HDPE ๋Œ€๊ฐ์„  ๋ชจ๋“ˆ๋Ÿฌ ํฌ์žฅ์˜ ์ˆ˜๋ฆฌ์  ์„ฑ๋Šฅ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜๊ณ , ๋น„์šฉ ํšจ์œจ์ ์ธ ๊ฐ•์šฐ ๊ด€๋ฆฌ ๋ฐ ์นจ์ˆ˜ ์˜ˆ๋ฐฉ์„ ์œ„ํ•œ ์„ค๊ณ„ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ๊ณตํ•˜๋ฉฐ, ๋„์‹œ ํ™์ˆ˜ ์œ„ํ—˜์„ ์ค„์ด๊ณ  ์ง€์† ๊ฐ€๋Šฅํ•œ ๋ฌผ ๊ด€๋ฆฌ ์ •์ฑ… ์ˆ˜๋ฆฝ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋‹คโ€‹.

Reference

  1. Vaitkus et al. 2021 Concrete Modular Pavement Structures with Optimized Thickess Based onCharacteristics of High Performance Concrete Mixtures with Fibers and Silica FumeMaterials 14 (3423) 1-17.
  2. Shafique, M., Kim, R., & Kwon, K. H. 2018 Rainfall Runoff Mitigation by Retrofitted PermeablePavement in an Urban Area Sustainability (Switzerland) 10 (4)
  3. Chen et al. 2020 Effect of Rainfall, Runoff and Infiltration Processes on the Stabily of FootslopesWater 12 (1229) 1-19.
  4. Ahn et al. 2018 Development of Test Equipment for Evaluating Hydraulic Conductivity ofPermeable Block Pavement Sustainability 10 (2549) 1-16.
  5. Rashid, M. A., Abustan, I., & Hamzah, M. O. 2012 Infiltration Characteristic Modeling UsingFlow3d within a Modular Pavement Procedia Engineering 50 (Icasce) 658โ€“667.
  6. Sharma, S., Sharma, P. K., & Upadhyay, N. 2020 Properties of Bituminous Bindermodified withPolyethylene Journal of Physics: Conference Series 1531 (1).
  7. Jabatan Kerja Raya. 2013 Manual Pavement Design.qxd. 1โ€“29.
  8. Li, Z., Sun, X., Wang, F., & Liang, Y. 2018 Microscopic Flow Characteristics of Fluids in PorousMedium and Its Relationship with Remaining Oil Distribution: A Case Study in SaertuOilfield of Daqing In China Geofluids 2018.
  9. Abdurrasheed et al. 2019 Modelling of Flow Parameters through Subsurface Drainage Modulesfor Application in BIOECODS Water (Switzerland) 11 (9) 1โ€“15.
  10. Zhao et al (2019) Effects of Rainfall Intensity and Vegetation Cover on Erosion Characteristicsof a Soil Containing Rock Fragments Slope Advances in Civil Engineering 2019.
  11. Song et al. (2014) Study of The Fluid Flow Characteristics in a Porous Medium For CO2Geological Storage using MRI Magnetic Resonance Imaging 32 (5) 574โ€“584.
  12. Payus et al. (2020) Impact of Extreme Drought Climate on Water Security in North Bornea: CaseStudy of Sabah Water 12 (1135) 1-19.
  13. Cherkauer, D. S. (2021). The effect of urbanization on kinetic energy distributions in smallwatersheds.
  14. Zhang et al (2015) Approximate Simulation of Strom Water Runoff over Pervious PavementInternational Journal of Pavement Engineering 18 (3) 247-259
  15. Liu et al. (2019) Laboratory Analysis on the Surface Runoff Pollution Reduction Performance ofPermeable Pavements Science of the Total Environment 691 1โ€“8.
  16. Khan et al. (2016) Effect of Slope, Rainfall Intensity and Mulch on Erosion and Infiltrationunder Simulated Rain on Purple Soil of South-Western Sichuan Province, China Water(Switzerland) 8 (11) 1โ€“18.
  17. Lee et al (2013) Modelling the Hydrologic Process of a Permeable Pavement System Journal ofHydrologic Engineering 20 (5) 04014070
  18. Wolff, A. (2012) Simulation of Pavement Surface Runoff using the Depth-Averaged ShallowWater Equations. 93(Mรคrz), 149.
  19. Lei et al. (2020) Study on Runoff and Infiltration for Expansive Soil Slopes in Simulated RainfallWater 12 (1) 222.
  20. Inn et al. (2020) Features of the Flow Velocity and Pressure Gradient of an Undular Bore on aHorizontal Bed Physics of fluids 32 (4) 043603.
Dam

Numerical Simulation of Dam Failure Process Based on FLOW-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ๋Œ ๋ถ•๊ดด ๊ณผ์ •์˜ ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ๋Œ ๋ถ•๊ดด(Dam Failure)๋Š” ํ•˜๋ฅ˜ ์ง€์—ญ์˜ ์ธ๋ช… ๋ฐ ์žฌ์‚ฐ ์•ˆ์ „์— ์‹ฌ๊ฐํ•œ ์œ„ํ˜‘์„ ๊ฐ€ํ•  ์ˆ˜ ์žˆ๋‹ค.
    • ๋Œ ๋ถ•๊ดด ์‹œ ๋ฐœ์ƒํ•˜๋Š” ํ™์ˆ˜๋Š” ์˜ˆ์ธก์ด ์–ด๋ ต๊ณ  ๋ณต์žกํ•œ ์ˆ˜๋ฆฌํ•™์  ํ˜„์ƒ์„ ๋™๋ฐ˜ํ•˜๋ฉฐ, ๊ธด๊ธ‰ ๊ตฌ์กฐ ๋ฐ ๋Œ€์‘ ๊ณ„ํš ๋งˆ๋ จ์ด ํ•„์ˆ˜์ ์ด๋‹ค.
    • ํŠนํžˆ Tangjiashan ์‚ฐ์‚ฌํƒœ ๋Œ(Tangjiashan Landslide Dam)๊ณผ ๊ฐ™์€ ์žฅ์• ํ˜ธ์ˆ˜(Barrier Lake)์˜ ๋ถ•๊ดด๋Š” ๊ฐ‘์ž‘์Šค๋Ÿฌ์šด ์›”๋ฅ˜ ๋ฐ ์‚ฌ๋ฉด ๋ถˆ์•ˆ์ •(Slope Instability)์„ ์ดˆ๋ž˜ํ•  ์ˆ˜ ์žˆ๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ™œ์šฉํ•˜์—ฌ Tangjiashan ์‚ฐ์‚ฌํƒœ ๋Œ์˜ ๋ถ•๊ดด ๊ณผ์ •์„ 3์ฐจ์› ์ˆ˜์น˜ ๋ชจ๋ธ๋ง์„ ํ†ตํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜.
    • ์ดˆ๊ธฐ ๋ถ•๊ดด ์ˆ˜์œ„(Initial Breach Water Level)์˜ ๋ฏผ๊ฐ๋„ ๋ถ„์„์„ ํ†ตํ•ด ๋ถ•๊ดด ์œ ๋Ÿ‰ ๋ฐ ์ตœ์ข… ๋ถ•๊ดด ํญ(Breach Width)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ํ‰๊ฐ€.
    • ๋น„์ƒ ๊ณ„ํš ์ˆ˜๋ฆฝ ๋ฐ ์žฌ๋‚œ ๋Œ€์‘์„ ์œ„ํ•œ ๊ธฐ์ˆ ์  ์ฐธ์กฐ ์ž๋ฃŒ ์ œ๊ณต.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ๋Œ ๋ชจ๋ธ๋ง ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • ๋ชจ๋ธ ๊ตฌ์ถ•:
      • Autodesk Civil3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์œ„์„ฑ ์›๊ฒฉ ๊ฐ์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ Tangjiashan ๋Œ์˜ 3D ๋ชจ๋ธ ์ƒ์„ฑ.
      • ๋Œ์˜ ์‹ค์ œ ์ง€ํ˜• ๋ฐ์ดํ„ฐ๋ฅผ 1:1 ๋น„์œจ๋กœ ๋ฐ˜์˜ํ•˜์—ฌ ๋ณต์žกํ•œ ์›”๋ฅ˜ ๋ฐ ๋ถ•๊ดด ๊ณผ์ •์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜.
    • FLOW-3D๋ฅผ ์ด์šฉํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜:
      • 3์ฐจ์› ์ˆ˜์น˜ ๋ชจ๋ธ์„ ํ†ตํ•ด ์›”๋ฅ˜(Ovetopping) ๋ฐ ๋ถ•๊ดด ๊ณผ์ • ์žฌํ˜„.
      • ๊ณ„์‚ฐ ํšจ์œจ์„ฑ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด:
        • ๋ชจ๋ธ ํฌ๊ธฐ: 1100m ร— 700m ร— 150m.
        • ๋ถ•๊ดด ์˜์—ญ(Breach Area)์—๋Š” ์„ธ๋ฐ€ํ•œ ๊ฒฉ์ž(2.5m ร— 2.5m ร— 2.5m) ์‚ฌ์šฉ.
        • ์ด ์œ ํšจ ๊ฒฉ์ž ์ˆ˜: ์•ฝ 390๋งŒ ๊ฐœ.
    • ๊ฒฝ๊ณ„ ์กฐ๊ฑด(Boundary Condition) ์„ค์ •:
      • ์ƒ๋ฅ˜(Upstream): ์••๋ ฅ ๊ฒฝ๊ณ„(Pressure Boundary).
      • ํ•˜๋ฅ˜(Downstream): ์ž์œ  ์œ ์ถœ(Outflow) ๊ฒฝ๊ณ„.
      • ์ธก๋ฉด(Sides): ๋Œ€์นญ ๊ฒฝ๊ณ„(Symmetrical Boundary).
      • ๋ฐ”๋‹ฅ(Bottom): ๋ฒฝ(Wall) ๊ฒฝ๊ณ„.
      • ์ƒ๋‹จ(Top): ๋Œ€๊ธฐ์••๊ณผ ๋™์ผํ•œ ์••๋ ฅ ๊ฒฝ๊ณ„(Atmospheric Pressure).
  2. ๋ฏผ๊ฐ๋„ ๋ถ„์„(Sensitivity Analysis)
    • ์ดˆ๊ธฐ ๋ถ•๊ดด ์ˆ˜์œ„ ๋ณ€ํ™” ์‹œ๋‚˜๋ฆฌ์˜ค:
      • 742m, 745m, 748m์˜ ์„ธ ๊ฐ€์ง€ ์ดˆ๊ธฐ ์ˆ˜์œ„ ์กฐ๊ฑด์„ ์„ค์ •.
      • ๊ฐ๊ฐ์˜ ์ดˆ๊ธฐ ์ˆ˜์œ„์— ๋”ฐ๋ฅธ ์ตœ๋Œ€ ๋ถ•๊ดด ์œ ๋Ÿ‰(Peak Breach Flow) ๋ฐ ๋ถ•๊ดด ํญ ๋ณ€ํ™” ๋ถ„์„.
    • ์นจ์‹ ๋ฐ ํ‡ด์  ๋ชจ๋ธ๋ง:
      • ๋Œ ์žฌ๋ฃŒ์˜ ๋ฌผ๋ฆฌ์  ํŠน์„ฑ(์˜ˆ: ๊ฑด์กฐ ๋ฒŒํฌ ๋ฐ€๋„ 2200 kg/mยณ, ์ž„๊ณ„ Froude ์ˆ˜ 0.05)์„ ๋ฐ˜์˜.
      • ๋ชจ๋ธ ์ž…๋ ฅ ํŒŒ๋ผ๋ฏธํ„ฐ๋Š” ๊ธฐ์กด ์—ฐ๊ตฌ ๋ฐ ํ˜„์žฅ ์ธก์ • ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋ถ„์„
    • ์ตœ๋Œ€ ๋ถ•๊ดด ์œ ๋Ÿ‰(Peak Breach Flow):
      • 742m ์ดˆ๊ธฐ ์ˆ˜์œ„์—์„œ 6937 mยณ/s ๋„๋‹ฌ.
      • 745m ์ดˆ๊ธฐ ์ˆ˜์œ„์—์„œ๋Š” 7597 mยณ/s, 9.5% ์ฆ๊ฐ€.
      • 748m ์ดˆ๊ธฐ ์ˆ˜์œ„์—์„œ๋Š” 8542 mยณ/s, 23.1% ์ฆ๊ฐ€.
    • ์ตœ์ข… ๋ถ•๊ดด ํญ(Breach Width):
      • ์ดˆ๊ธฐ ์ˆ˜์œ„ ์ฆ๊ฐ€์— ๋”ฐ๋ผ 150m โ†’ 220.8m๋กœ 47.2% ์ฆ๊ฐ€.
    • ์œ ๋Ÿ‰ ๋„๋‹ฌ ์‹œ๊ฐ„(Time to Peak Flow):
      • ์ดˆ๊ธฐ ์ˆ˜์œ„ ์ฆ๊ฐ€ ์‹œ ๋„๋‹ฌ ์‹œ๊ฐ„์ด ๋‹จ์ถ•:
        • 742m ์ˆ˜์œ„์—์„œ๋Š” 5.83์‹œ๊ฐ„, 748m์—์„œ๋Š” 3.55์‹œ๊ฐ„(39.1% ๊ฐ์†Œ).
    • ๋ชจ๋ธ ๊ฒ€์ฆ(Validation):
      • ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ํ˜„์žฅ ์ธก์ • ๋ฐ์ดํ„ฐ ๋น„๊ต:
        • ์ตœ๋Œ€ ๋ถ•๊ดด ์œ ๋Ÿ‰์˜ ์ƒ๋Œ€ ์˜ค์ฐจ 7.05%.
        • ์ตœ์ข… ๋ถ•๊ดด ํญ์˜ ์ƒ๋Œ€ ์˜ค์ฐจ 4.16%.
        • ์œ ๋Ÿ‰ ๋„๋‹ฌ ์‹œ๊ฐ„์€ ์‹ค์ œ๋ณด๋‹ค ์•ฝ 40๋ถ„ ๋น ๋ฆ„.
  2. ๋ฏผ๊ฐ๋„ ๋ถ„์„ ๊ฒฐ๊ณผ
    • ์ดˆ๊ธฐ ๋ถ•๊ดด ์ˆ˜์œ„๋Š” ๋ถ•๊ดด ๊ณผ์ •์— ๋งค์šฐ ๋ฏผ๊ฐ:
      • ์ˆ˜์œ„๊ฐ€ ๋†’์•„์งˆ์ˆ˜๋ก ๋ถ•๊ดด ์œ ๋Ÿ‰ ๋ฐ ํ•˜๋ฅ˜ ๋ฐฉ์ถœ ์œ ๋Ÿ‰์ด ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€.
      • ์ •ํ™•ํ•œ ์ดˆ๊ธฐ ์ˆ˜์œ„ ์ธก์ •์˜ ์ค‘์š”์„ฑ ๊ฐ•์กฐ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ†ตํ•œ Tangjiashan ๋Œ ๋ถ•๊ดด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹ค์ œ ํ˜„์ƒ๊ณผ ๋†’์€ ์ผ์น˜๋„๋ฅผ ๋ณด์ž„.
    • ์ดˆ๊ธฐ ๋ถ•๊ดด ์ˆ˜์œ„๋Š” ๋ถ•๊ดด ์œ ๋Ÿ‰, ์ตœ์ข… ๋ถ•๊ดด ํญ ๋ฐ ๋ถ•๊ดด ๊ณผ์ • ์ „๋ฐ˜์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นจ.
    • ๊ธด๊ธ‰ ๊ตฌ์กฐ ๋ฐ ๋Œ€์‘ ๊ณ„ํš ์ˆ˜๋ฆฝ ์‹œ ์ดˆ๊ธฐ ์ˆ˜์œ„ ๋ฐ์ดํ„ฐ๋ฅผ ์ •ํ™•ํžˆ ๋ฐ˜์˜ํ•  ํ•„์š”.
    • ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ํ–ฅํ›„ ์žฅ์• ํ˜ธ์ˆ˜ ๋ถ•๊ดด ๋Œ€์‘ ๋ฐ ์žฌ๋‚œ ๊ด€๋ฆฌ ์ •์ฑ… ์ˆ˜๋ฆฝ์— ์ค‘์š”ํ•œ ๊ธฐ์ˆ ์  ์ฐธ์กฐ ์ž๋ฃŒ ์ œ๊ณต.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ์ •ํ™•๋„ ํ–ฅ์ƒ์„ ์œ„ํ•ด ๋ฌผ์˜ ๋ฐ€๋„ ๋ณ€ํ™”(ํ‡ด์ ๋ฌผ ์นจ์‹์— ๋”ฐ๋ฅธ ์˜ํ–ฅ) ๊ณ ๋ ค.
    • ๋‹ค์–‘ํ•œ ์ดˆ๊ธฐ ์กฐ๊ฑด(์˜ˆ: ๊ฐ•์šฐ ํŒจํ„ด, ํ•˜์ฒœ ์œ ๋Ÿ‰ ๋ณ€ํ™”)์— ๋”ฐ๋ฅธ ์‹œ๋‚˜๋ฆฌ์˜ค ๋ถ„์„.
    • AI ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ™œ์šฉํ•œ ์‹ค์‹œ๊ฐ„ ๋Œ ๋ถ•๊ดด ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ๋ฐœ.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ Tangjiashan ์‚ฐ์‚ฌํƒœ ๋Œ์˜ ๋ถ•๊ดด ๊ณผ์ •์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜๊ณ , ์žฌ๋‚œ ๋Œ€์‘ ๋ฐ ๋น„์ƒ ๊ณ„ํš ์ˆ˜๋ฆฝ์„ ์œ„ํ•œ ์‹ค์งˆ์ ์ธ ๋ฐ์ดํ„ฐ์™€ ์„ค๊ณ„ ๊ธฐ์ค€์„ ์ œ๊ณตํ•˜๋ฉฐ, ์žฅ์• ํ˜ธ์ˆ˜ ๋ถ•๊ดด ์‹œ ์ธ๋ช… ๋ฐ ์žฌ์‚ฐ ํ”ผํ•ด๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ๋ฐ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋‹คโ€‹.

Reference

  1. Zuwen Yan , Yingqi Wei, Hong Cai. Formation mechanism and stability analysis of barrier dam [J].Chinese Journal of geological hazards and prevention, 2009,20(04) : 55-59.
  2. Costa J E,Schuster R L. The formation and failure of natural dams [J]. Geological Society of AmericaBulletin,1988,100 (7):1054 – 1068.
  3. Schuster R L, Costa J E,Rl S. A perspective on landslide Dams. Lands1ide Dams: processes, risk andmitigation [J]. Geotechnical Special Publication,1986,(3):1 – 20.
  4. Jianguo Zhang,Cheng Wang,Xuejun Xu . Numerical simulation of Tangjiashan Lake Flow [J] . People’sYangtze River, 2009,40(22) : 60-62.
  5. Yonghui Zhu, Beilin Fan, Jinyou Lu, Xibing Zhang, Wenjun Yang, Geng Qu. Analysis of TangjiashanLake dam-break flood and simulation of discharge scour [J]. People’s Yangtze River, 2008,39(22):79-82.DOI: 10.16232/J. CNKI. 1001-4179.2008.22.023.
  6. Tianlong Zhao, Shengshui Chen, Junjie Wang, qiming zhong,Changjing Fu. Centrifuge model test onovertopping failure of barrier dam [J] . Geotechnical engineering, 2016,38(11) : 1965-1972.
  7. Liu N,Chen Z Y,Zhang J X,et al. Draining the Tangjiashan barrier lake [J]. Journal of HydraulicEngineering,2010,136 (11 ):914-923.
  8. Shufei Li, Weizhong Hu. Possible Tangjiashan Lake of water level [J] . People’s Yangtze River,2008,39(22) : 73-75.
mornig glory test

Numerical Modelling of Flow in Morning Glory Spillways Using FLOW-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ๋ชจ๋‹ ๊ธ€๋กœ๋ฆฌ(Morning Glory) ์›”๋ฅ˜์ˆ˜๋ฌธ์—์„œ์˜ ์œ ๋™ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ๋ชจ๋‹ ๊ธ€๋กœ๋ฆฌ(Morning Glory) Spillway๋Š” ๋Œ์˜ ์ˆ˜์œ„ ์กฐ์ ˆ ๋ฐ ํ™์ˆ˜ ๋ฐฉ์ง€๋ฅผ ์œ„ํ•ด ์‚ฌ์šฉ๋˜๋Š” ์›ํ˜• ์›”๋ฅ˜์ˆ˜๋ฌธ์ด๋‹ค.
    • ๊ธฐ์กด ์„ค๊ณ„์—์„œ๋Š” ๋ถ€์œ ๋ฌผ(Suspended Load)์˜ ์˜ํ–ฅ์„ ๊ฐ„๊ณผํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜์œผ๋ฉฐ, ์ด๋Š” ์„ค๊ณ„ ๊ฐ€์ •์— ํฐ ๋ณ€ํ™”๋ฅผ ์ดˆ๋ž˜ํ•  ์ˆ˜ ์žˆ๋‹ค.
    • ๋ถ€์œ ๋ฌผ ํ•จ์œ  ํ๋ฆ„์€ ๋ฌผ์˜ ๋ฐ€๋„๋ฅผ ๋ณ€ํ™”์‹œ์ผœ ์ˆ˜๋ฌธ ์„ฑ๋Šฅ์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋‹ ๊ธ€๋กœ๋ฆฌ ์ˆ˜๋ฌธ์—์„œ์˜ ๋ถ€์œ ๋ฌผ ๋†๋„ ๋ณ€ํ™”๊ฐ€ ์œ ๋Ÿ‰(Flow Discharge)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€.
    • 3000, 6000, 9000, 12000 ppm์˜ ๋ถ€์œ ๋ฌผ ๋†๋„๋ฅผ ์ ์šฉํ•˜์—ฌ ์ˆ˜๋ฌธ ์ƒ๋ถ€์—์„œ ๋‹ค์–‘ํ•œ ์ˆ˜์œ„ ์กฐ๊ฑด์—์„œ์˜ ์œ ๋Ÿ‰ ๋ณ€ํ™”๋ฅผ ๋ถ„์„.
    • ์ˆ˜์น˜ ๋ชจ๋ธ ๊ฒฐ๊ณผ๋ฅผ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ FLOW-3D์˜ ์˜ˆ์ธก ์„ฑ๋Šฅ์„ ๊ฒ€์ฆ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ์ˆ˜์น˜ ๋ชจ๋ธ๋ง ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด์˜ VOF(Volume of Fluid) ๊ธฐ๋ฒ• ๋ฐ FAVOR(Fractional Area-Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ๋™ ๋ฐ ๊ณ ์ฒด ๊ฒฝ๊ณ„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜.
    • k-ฮต ๋ฐ RNG ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํšจ๊ณผ๋ฅผ ๋ชจ๋ธ๋ง.
    • ๋ชจ๋‹ ๊ธ€๋กœ๋ฆฌ ์ˆ˜๋ฌธ ์„ค๊ณ„:
      • ํ•ด๋ผ์ฆˆ(Haraz) ๋Œ์˜ ๋ชจ๋‹ ๊ธ€๋กœ๋ฆฌ Spillway๋ฅผ ๋ชจ๋ธ๋ง.
      • Solidworks ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์ด์šฉํ•ด 3D ๋ชจ๋ธ๋ง์„ ์ˆ˜ํ–‰ํ•˜๊ณ , FLOW-3D์— ๊ฐ€์ ธ์™€ ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์„ค์ •.
    • ๋ถ€์œ ๋ฌผ ๋†๋„ ์„ค์ •:
      • 3000, 6000, 9000, 12000 ppm์˜ ๋ถ€์œ ๋ฌผ์„ ํ๋ฆ„์— ์ถ”๊ฐ€ํ•˜์—ฌ ์œ ๋Ÿ‰ ๋ณ€ํ™” ๋ถ„์„.
      • ๋ถ€์œ ๋ฌผ ๋†๋„๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ ๋„ ๋ฐ ์œ ์ฒด์˜ ๋ฌผ๋ฆฌ์  ํŠน์„ฑ์ด ๋ณ€ํ™”ํ•จ์„ ๊ณ ๋ ค.
  2. ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •
    • ์ž…์ถœ๊ตฌ ๋ฐ ๋ฒฝ๋ฉด ๊ฒฝ๊ณ„ ์กฐ๊ฑด:
      • ์ž…๊ตฌ(Inlet): ์œ ๋Ÿ‰ ์กฐ๊ฑด์„ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€.
      • ์ถœ๊ตฌ(Outlet): ์ž์œ  ์œ ์ถœ ์กฐ๊ฑด์„ ์ ์šฉ.
      • ๋ฒฝ๋ฉด(Wall): ๋น„ํˆฌ๊ณผ์„ฑ(Impermeable) ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •.
    • ๊ณต๊ธฐ-๋ฌผ ๊ฒฝ๊ณ„:
      • ์ž์œ  ์ˆ˜๋ฉด(Free Surface) ์กฐ๊ฑด์„ ์ ์šฉํ•˜์—ฌ ๊ณต๊ธฐ์™€์˜ ์ ‘์ด‰์„ ๊ณ ๋ ค.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ๋ถ€์œ ๋ฌผ ๋†๋„ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ์œ ๋Ÿ‰ ๋ณ€ํ™”
    • ์ˆœ์ˆ˜ ๋ฌผ(๋ถ€์œ ๋ฌผ ์—†์Œ) ์ƒํƒœ์—์„œ์˜ ํ‰๊ท  ์œ ๋Ÿ‰: 600 mยณ/s.
    • ๋ถ€์œ ๋ฌผ ๋†๋„์— ๋”ฐ๋ฅธ ์œ ๋Ÿ‰ ๊ฐ์†Œ ํšจ๊ณผ:
      • 3000 ppm: ํ‰๊ท  ์œ ๋Ÿ‰ 605 mยณ/s, ์œ ๋Ÿ‰ ๊ฐ์†Œ 3.8%.
      • 6000 ppm: ํ‰๊ท  ์œ ๋Ÿ‰ 575 mยณ/s, ์œ ๋Ÿ‰ ๊ฐ์†Œ 87.12%.
      • 9000 ppm: ํ‰๊ท  ์œ ๋Ÿ‰ 575 mยณ/s, ์œ ๋Ÿ‰ ๊ฐ์†Œ 7.18%.
      • 12000 ppm: ํ‰๊ท  ์œ ๋Ÿ‰ 483 mยณ/s, ์œ ๋Ÿ‰ ๊ฐ์†Œ 26%.
    • ๋ถ€์œ ๋ฌผ ๋†๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์ˆ˜๋ฌธ์„ ํ†ต๊ณผํ•˜๋Š” ์œ ๋Ÿ‰์ด ๊ฐ์†Œํ•˜๋ฉฐ, ์ด๋Š” ๋ถ€์œ ๋ฌผ์ด ๋ฌผ์˜ ์ ๋„ ์ฆ๊ฐ€ ๋ฐ ๋ฐ€๋„ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ํ๋ฆ„ ์ €ํ•ญ ์ฆ๊ฐ€์— ๊ธฐ์ธ.
  2. ์œ ๋™ ํŒจํ„ด ๋ฐ ์ˆ˜๋ฌธ ์„ฑ๋Šฅ ๋ณ€ํ™”
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ ๋ถ€์œ ๋ฌผ ๋†๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์œ ๋™์˜ ์•ˆ์ •์„ฑ์ด ๊ฐ์†Œ.
    • ํŠนํžˆ ํ„ฐ๋„ ๋ฐ ์›”๋ฅ˜์ˆ˜๋ฌธ ๋ชฉ(Throat) ๋ถ€๋ถ„์—์„œ์˜ ์œ ๋Ÿ‰ ๋ณ€ํ™”๊ฐ€ ๋šœ๋ ทํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚จ.
    • ์ˆ˜๋ฌธ ์ƒ๋ถ€์—์„œ์˜ ์›”๋ฅ˜ ์œ ์† ๊ฐ์†Œ์™€ ํ˜ผํ•ฉ ์ธต์˜ ๋‘๊ป˜ ์ฆ๊ฐ€๊ฐ€ ๊ด€์ฐฐ๋จ.
  3. FLOW-3D ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ ํ‰๊ฐ€
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๊ฒฐ๊ณผ ๊ฐ„ ๋†’์€ ์ผ์น˜๋„ ํ™•์ธ.
    • ๋ชจ๋ธ ๊ฒ€์ฆ ๊ฒฐ๊ณผ, ์˜ˆ์ธก๋œ ์œ ๋Ÿ‰ ๋ณ€ํ™”๊ฐ€ ๋ฌผ๋ฆฌ์  ์‹คํ—˜๊ณผ ํ‰๊ท  5% ์ด๋‚ด์˜ ์˜ค์ฐจ์œจ์„ ๋ณด์ž„.
    • ์ด๋Š” FLOW-3D๊ฐ€ ๋ณต์žกํ•œ ๋ถ€์œ ๋ฌผ ํ๋ฆ„์„ ์ •ํ™•ํ•˜๊ฒŒ ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ์Œ์„ ์˜๋ฏธ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋Š” ๋ชจ๋‹ ๊ธ€๋กœ๋ฆฌ ์›”๋ฅ˜์ˆ˜๋ฌธ์˜ ๋ถ€์œ ๋ฌผ ๋†๋„ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์œ ๋Ÿ‰ ๊ฐ์†Œ๋ฅผ ์ •ํ™•ํžˆ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์Œ.
    • ๋ถ€์œ ๋ฌผ ๋†๋„๊ฐ€ ๋†’์„์ˆ˜๋ก ์œ ๋Ÿ‰ ๊ฐ์†Œ์œจ์ด ์ฆ๊ฐ€ํ•˜๋ฉฐ, ํŠนํžˆ 12000 ppm์—์„œ๋Š” ํ‰๊ท  26%์˜ ์œ ๋Ÿ‰ ๊ฐ์†Œ๊ฐ€ ๋‚˜ํƒ€๋‚จ.
    • ์ด๋Š” ๋Œ ์„ค๊ณ„ ๋ฐ ์šด์˜ ์‹œ ๋ถ€์œ ๋ฌผ ๋†๋„๋ฅผ ๊ณ ๋ คํ•ด์•ผ ํ•จ์„ ์‹œ์‚ฌํ•˜๋ฉฐ, ์›”๋ฅ˜์ˆ˜๋ฌธ์˜ ์„ฑ๋Šฅ์„ ๋ณด์žฅํ•˜๊ธฐ ์œ„ํ•œ ์„ค๊ณ„ ๊ธฐ์ค€ ๋งˆ๋ จ ํ•„์š”.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ๋‹ค์–‘ํ•œ ๋ถ€์œ ๋ฌผ ํฌ๊ธฐ ๋ฐ ํ˜•ํƒœ์— ๋”ฐ๋ฅธ ์œ ๋Ÿ‰ ๋ณ€ํ™” ์ถ”๊ฐ€ ์—ฐ๊ตฌ ํ•„์š”.
    • ๋‹ค์–‘ํ•œ ์ˆ˜๋ฌธ ํ˜•์ƒ ๋ฐ ๊ฒฝ์‚ฌ ์กฐ๊ฑด์—์„œ FLOW-3D ๋ชจ๋ธ ๊ฒ€์ฆ.
    • AI ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ™œ์šฉํ•œ ๋ถ€์œ ๋ฌผ ๋†๋„ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์œ ๋Ÿ‰ ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ๋ฐœ.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ชจ๋‹ ๊ธ€๋กœ๋ฆฌ ์›”๋ฅ˜์ˆ˜๋ฌธ์˜ ๋ถ€์œ ๋ฌผ ๋†๋„ ๋ณ€ํ™”๊ฐ€ ์œ ๋Ÿ‰์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜๊ณ , ๋Œ ์•ˆ์ „์„ฑ ๋ฐ ์ˆ˜๋ฌธ ์„ค๊ณ„ ์ตœ์ ํ™”์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ์‹ค์งˆ์ ์ธ ๋ฐ์ดํ„ฐ๋ฅผ ์ œ๊ณตํ•œ๋‹คโ€‹.

Reference

  1. Kavan, Jan, Jakub Ondruch, Daniel Nรฝvlt, Filip Hrbรกฤek, Jonathan L. Carrivick, and Kamil Lรกska. “Seasonal hydrological andsuspended sediment transport dynamics in proglacial streams, James Ross Island, Antarctica.” Geografiska Annaler: Series A,Physical Geography 99, no. 1 (2017): 38-55.
  2. Ervine, D. A., and A. A. Ahmed. “A Scaling relationship for a two-dimensional vertical dropshaft.” In Proc. Intl. Conf. onHydraulic Modelling of Civil Engineering Structures, pp. 195-214. 1982.
  3. Zhao, Can-Hua, David Z. Zhu, Shuang-Ke Sun, and Zhi-Ping Liu. “Experimental study of flow in a vortex drop shaft.” Journalof Hydraulic Engineering 132, no. 1 (2006): 61-68.
  4. Emamgheis, Reza Jamali, and Ebrahim Nohani. “Review of the efficiency of shaft spillway discharge influenced by sharptriangular vortex breaker blades with rectangular body.” Advances in Environmental Biology (2014): 285-290.
  5. Shemshi, Roya, and Abdorreza Kabiri-Samani. “Swirling flow at vertical shaft spillways with circular piano-key inlets.” Journalof Hydraulic Research 55, no. 2 (2017): 248-258.
  6. Coleman, H. Wayne, C. Y. Wei, and James E. Lindell. “Hydraulic design of spillways.” Hydraulic design handbook (2004): 17-41.
  7. Xianqi, Zhang. “Hydraulic characteristics of rotational flow shaft spillway for high dams.” International Journal of Heat andTechnology 33, no. 1 (2015): 167-174.
  8. Petaccia, G., and A. Fenocchi. “Experimental assessment of the stageโ€“discharge relationship of the Heyn siphons of Bric Zerbinodam.” Flow Measurement and Instrumentation 41 (2015): 36-40.
  9. Houichi L, Ibrahim G, Achour B. Experiments for the discharge capacity of the siphon spillway having the Creager Ofitserovprofile. Int J Fluid Mech Res 2006; 33(5):395โ€“406. http://dx.doi.org/10.1615/InterJFluidMechRes.v33.i5.10.
  10. Houichi L, Ibrahim G, Achour B. Experimental comparative study of siphon spillway and overflow spillway. Cour Savoir 2009;9:95โ€“100.
  11. Gramatky, Ferdinand Gunner, and Kenneth Hall Robinson. “Siphon spillway.” PhD diss., California Institute of Technology,1929.
  12. Nohani, Ebrahim. “An experimental study on the effect of vortex breakers thickness on discharge efficiency for the shaftspillways.” Science International 27, no. 3 (2015).
  13. Hirt, C. W., and B. Nichols. “Flow-3D Userโ€™s Manual.” Flow Science Inc (1988).
  14. Lenzi, Mario A., and Lorenzo Marchi. “Suspended sediment load during floods in a small stream of the Dolomites (northeasternItaly).” Catena 39, no. 4 (2000): 267-282.
  15. Fokema, M. D., S. M. Kresta, and P. E. Wood. “Importance of using the correct impeller boundary conditions for CFDsimulations of stirred tanks.” The Canadian Journal of Chemical Engineering 72, no. 2 (1994): 177-183

Domain

Validation of the CFD Code Flow-3D for the Free Surface Flow Around Ship Hulls

์„ ์ฒด ์ฃผ์œ„ ์ž์œ  ํ‘œ๋ฉด ์œ ๋™์„ ์œ„ํ•œ CFD ์ฝ”๋“œ Flow-3D ๊ฒ€์ฆ

์—ฐ๊ตฌ ๋ชฉ์ 

  • ๋ณธ ๋…ผ๋ฌธ์€ FLOW-3Dยฎ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์„ ์ฒด ์ฃผ๋ณ€์˜ ์ž์œ  ํ‘œ๋ฉด ์œ ๋™์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ  ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ฒ€์ฆํ•จ.
  • DTNSRDC 5415 ์ „ํˆฌํ•จ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ๋ชจ๋ธ ๋ฐ ์ˆ˜์น˜ ํ•ด์„ ๊ธฐ๋ฒ•์„ ๊ฒ€ํ† ํ•จ.
  • ์ด ์ €ํ•ญ ์˜ˆ์ธก, ํŒŒํ˜• ๋ถ„์„ ๋ฐ ๋‚œ๋ฅ˜ ํ•ด์„์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ํ‰๊ฐ€ํ•จ.
  • CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ํ•œ๊ณ„๋ฅผ ํ™•์ธํ•˜๊ณ  ๋ฉ”์‰ฌ ๋ฏผ๊ฐ๋„ ๋ฐ ์ˆ˜์น˜ ๊ธฐ๋ฒ• ์ตœ์ ํ™” ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๋ฐ ๋ชจ๋ธ ์„ ์ •
    • ๋ฏธ๊ตญ ํ•ด๊ตฐ์ด ๊ฐœ๋ฐœํ•œ DTNSRDC 5415 ์ „ํˆฌํ•จ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜์น˜ ํ•ด์„์„ ์ˆ˜ํ–‰ํ•จ.
    • ํ”„๋ฃจ๋“œ ์ˆ˜(Froude Number) ๋ฒ”์œ„: 0.17 ~ 0.4๋กœ ์„ค์ •ํ•˜์—ฌ ์ž์œ  ํ‘œ๋ฉด ์œ ๋™์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•จ.
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์˜ ์ •ํ™•์„ฑ์„ ํ‰๊ฐ€ํ•จ.
  2. FLOW-3Dยฎ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • VOF(Volume of Fluid) ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ํ‘œ๋ฉด ์ถ”์ ์„ ์ˆ˜ํ–‰ํ•จ.
    • ๋‚œ๋ฅ˜ ๋ชจ๋ธ๋กœ Reynolds-Averaged Navier-Stokes(RANS) ๋ฐ ๋‹ค์–‘ํ•œ ์ด๋ฅ˜(advection) ๊ธฐ๋ฒ•์„ ๋น„๊ต ๋ถ„์„ํ•จ.
    • ๋ฉ”์‰ฌ ๋…๋ฆฝ์„ฑ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์ตœ์ ์˜ ๊ฒฉ์ž ํ•ด์ƒ๋„๋ฅผ ๊ฒฐ์ •ํ•จ.
  3. ๊ฒฐ๊ณผ ๋น„๊ต ๋ฐ ๊ฒ€์ฆ
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ์ด ์ €ํ•ญ(Total Resistance) ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ํ‰๊ฐ€ํ•จ.
    • ํŒŒํ˜• ๋ถ„ํฌ ๋ฐ ์ž์œ  ํ‘œ๋ฉด ํ˜•์ƒ์ด ์‹คํ—˜๊ณผ ์–ผ๋งˆ๋‚˜ ์ผ์น˜ํ•˜๋Š”์ง€ ๋ถ„์„ํ•จ.
    • ํ”„๋ฃจ๋“œ ์ˆ˜(Froude Number)์— ๋”ฐ๋ฅธ ์ €ํ•ญ ๋ณ€ํ™” ๋ฐ ๋‚œ๋ฅ˜ ๋ชจ๋ธ์˜ ์˜ํ–ฅ์„ ๊ฒ€ํ† ํ•จ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์ด ์ €ํ•ญ ์˜ˆ์ธก ๋ฐ ๋น„๊ต ๋ถ„์„
    • 1์ฐจ ์ด๋ฅ˜ ๊ธฐ๋ฒ•(1st order upwind advection scheme) ์‚ฌ์šฉ ์‹œ, ์‹คํ—˜ ๋Œ€๋น„ ์ด ์ €ํ•ญ์ด ์•ฝ 3๋ฐฐ ๊ณผ๋Œ€ ์˜ˆ์ธก๋จ.
    • ITTC-57 ๋ฐฉ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ๋งˆ์ฐฐ ์ €ํ•ญ์„ ๋ณด์ •ํ•˜๋ฉด, ์‹คํ—˜๊ณผ์˜ ์˜ค์ฐจ๊ฐ€ ์ ˆ๋ฐ˜ ์ˆ˜์ค€์œผ๋กœ ๊ฐ์†Œํ•จ.
    • 2์ฐจ ์ด๋ฅ˜ ๊ธฐ๋ฒ•(2nd order scheme)์„ ์ ์šฉํ•˜๋ฉด ์ด ์ €ํ•ญ ์˜ˆ์ธก์ด ๊ฐœ์„ ๋˜์—ˆ์œผ๋‚˜ ์—ฌ์ „ํžˆ ์•ฝ 2๋ฐฐ ๊ณผ๋Œ€ ํ‰๊ฐ€๋จ.
  2. ํŒŒํ˜• ๋ฐ ์ž์œ  ํ‘œ๋ฉด ๋ถ„์„
    • ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ ์ž์œ  ํ‘œ๋ฉด ํ˜•์ƒ ๋ฐ ํŒŒํ˜• ํŒจํ„ด์€ ์‹คํ—˜๊ณผ ์œ ์‚ฌํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚จ.
    • ํŒŒ๋ž‘ ์ €ํ•ญ(Wave Resistance)์€ ๋ฉ”์‰ฌ ํ•ด์ƒ๋„๊ฐ€ ๋†’์•„์งˆ์ˆ˜๋ก ์‹คํ—˜๊ฐ’๊ณผ ๋” ๊ฐ€๊นŒ์›Œ์ง.
    • ๊ทธ๋Ÿฌ๋‚˜ ๊ฒฝ๊ณ„์ธต ํ•ด์„์ด ๋ถ€์กฑํ•˜์—ฌ ๋งˆ์ฐฐ ์ €ํ•ญ(Frictional Resistance) ์˜ˆ์ธก์ด ๋ถ€์ •ํ™•ํ•จ.
  3. ๋ฉ”์‰ฌ ๋ฏผ๊ฐ๋„ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ
    • ๋ฉ”์‰ฌ ๋…๋ฆฝ์„ฑ์„ ์™„์ „ํžˆ ํ™•๋ณดํ•˜์ง€ ๋ชปํ•œ ์ƒํƒœ์—์„œ ์ด ์ €ํ•ญ์ด 65%๊นŒ์ง€ ๊ณผ๋Œ€ ํ‰๊ฐ€๋จ.
    • ๋ฉ”์‰ฌ ํ•ด์ƒ๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚ฌ์ˆ˜๋ก ์ €ํ•ญ๊ฐ’์ด ๊ฐ์†Œํ•˜์ง€๋งŒ, ์—ฐ์‚ฐ ๋น„์šฉ์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•จ.
    • ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์™„์ „ํ•œ ๋ฉ”์‰ฌ ๋…๋ฆฝ์„ฑ ํ™•๋ณด ํ•„์š”.
  4. ๋‚œ๋ฅ˜ ๋ชจ๋ธ ๋ฐ ์ˆ˜์น˜ ๊ธฐ๋ฒ• ํ‰๊ฐ€
    • 2์ฐจ ์ด๋ฅ˜ ๊ธฐ๋ฒ• + ๋‹จ์กฐ ์œ ์ง€(Monotonicity Preserving) ์กฐํ•ฉ์ด ๊ฐ€์žฅ ์ ์ ˆํ•œ ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•จ.
    • ๋‹ค์ค‘ ๋ธ”๋ก ๊ฒฉ์ž(Multi-Block Gridding)์™€ ์ถ”๊ฐ€์ ์ธ ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์ ์šฉ์ด ํ•„์š”ํ•จ.
    • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฒฝ๊ณ„์ธต ๋ฐ ๋งˆ์ฐฐ ์ €ํ•ญ ๊ฐœ์„ ์„ ์œ„ํ•œ ๊ณ ๊ธ‰ ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์ ์šฉ์ด ํ•„์ˆ˜์ ์ž„.

๊ฒฐ๋ก 

  • FLOW-3Dยฎ๋Š” ์„ ์ฒด ์ฃผ๋ณ€ ์ž์œ  ํ‘œ๋ฉด ์œ ๋™์˜ ์งˆ์ (qualitative) ๋ถ„์„์— ์ ํ•ฉํ•จ.
  • ์ด ์ €ํ•ญ ์˜ˆ์ธก์€ ๊ณผ๋Œ€ ํ‰๊ฐ€๋˜๋ฉฐ, ๋งˆ์ฐฐ ์ €ํ•ญ ํ•ด์„ ๋Šฅ๋ ฅ์ด ์ œํ•œ์ ์ž„.
  • 2์ฐจ ์ด๋ฅ˜ ๊ธฐ๋ฒ• + ๋‹จ์กฐ ์œ ์ง€ ๊ธฐ๋ฒ• ์ ์šฉ ์‹œ, ์‹คํ—˜๊ณผ์˜ ์ƒ๊ด€์„ฑ์ด ๊ฐ€์žฅ ๋†’์Œ.
  • ๋ฉ”์‰ฌ ๋…๋ฆฝ์„ฑ ํ™•๋ณด ๋ฐ ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์ตœ์ ํ™”๊ฐ€ ์ถ”๊ฐ€ ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ ๊ณผ์ œ์ž„.

Reference

  1. Barkhudarov, M., โ€œMulti-Block GriddingTechnique for FLOW-3D”, Technical Note #59-R2, FSI-00-TN59-R2, Flow Science Inc., 2004
  2. Ferziger, H. J., and Peric, M., โ€œComputationalMethods for Fluid Dynamicsโ€, 2001, SpringerVerlag
  3. Lewis, E. V., โ€œPrinciples of NavalArchitectureโ€ SNAME, USA, 1989
  4. Lin, A. C., “Bare Hull Effective PowerPredictions and Bilge Keel Orientation forDDG51 Hull Represented by Model 5415,”DTNSRDC/SPD-0200-03, 1982(http://conan.dt.navy.mil/5415/)
  5. Ratcliffe, T. J., Muntick, I., Rice, J., โ€œSternWave Topography and Longitudinal Wave Cutsobtained on Model 5415, With and WithoutPropulsionโ€, DTM, USA, 2001
  6. Yao, G. F., โ€œDevelopment of New PressureVelocity Solvers in FLOW-3Dโ€, Flow Science,Inc., USA, 2004
Wave

Using FLOW-3D as a CFD Materials Approach in Waves Generation

FLOW-3D๋ฅผ ์ด์šฉํ•œ ํŒŒ๋ž‘ ์ƒ์„ฑ์˜ CFD ์žฌ๋ฃŒ ์ ‘๊ทผ๋ฒ•

์—ฐ๊ตฌ ๋ชฉ์ 

  • ๋ณธ ์—ฐ๊ตฌ๋Š” FLOW-3Dยฎ๋ฅผ ์ด์šฉํ•˜์—ฌ ํŒŒ๋ž‘ ์ƒ์„ฑ ๋ฐ ํŒŒ๋ž‘ ๋ถ•๊ดด ํ˜„์ƒ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ถ„์„ํ•จ.
  • ์‹คํ—˜์ ์ธ ์ ‘๊ทผ๋ฒ•๊ณผ ๋น„๊ตํ•˜์—ฌ CFD ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ์ •ํ™•๋„ ๋ฐ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ํ‰๊ฐ€ํ•จ.
  • ํฌ๋ฆฌ์–ด ๊ธ‰์ˆ˜(Fourier series) ๋ฐ CFD ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ํŒŒ๋ž‘ ์กฐ๊ฑด์„ ํ•ด์„ํ•จ.
  • ํ•ด์–‘ ๊ตฌ์กฐ๋ฌผ ๋ฐ ํŒŒ๋ ฅ ๋ฐœ์ „ ์„ค๊ณ„๋ฅผ ์œ„ํ•œ ์ •ํ™•ํ•œ ํŒŒ๋ž‘ ๋ชจ๋ธ๋ง ๊ฐ€๋Šฅ์„ฑ์„ ํƒ์ƒ‰ํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ํŒŒ๋ž‘ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง ๋ฐ ์„ค์ •
    • FLOW-3Dยฎ์˜ ์ž์œ  ํ‘œ๋ฉด ๋ชจ๋ธ(Free-Surface Model)์„ ํ™œ์šฉํ•˜์—ฌ ํŒŒ๋ž‘ ํ˜•์„ฑ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•จ.
    • ํฌ๋ฆฌ์–ด ๊ธ‰์ˆ˜(Fourier Series) ๋ฐฉ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ์ˆ˜์น˜์ ์œผ๋กœ ํŒŒ๋ž‘์˜ ๊ธฐ๋ณธ ํ˜•ํƒœ๋ฅผ ์ •์˜ํ•จ.
    • ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์ ์šฉ: Reynolds-Averaged Navier-Stokes(RANS) ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํšจ๊ณผ๋ฅผ ๊ณ ๋ คํ•จ.
  2. FLOW-3Dยฎ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • ์ดˆ๊ธฐ ๋ฐ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์„ ์„ค์ •ํ•˜์—ฌ ํŒŒ๋ž‘์˜ ์ „ํŒŒ ๋ฐ ๋ถ•๊ดด ๊ณผ์ •์„ ๋ถ„์„ํ•จ.
    • ๋‹ค์–‘ํ•œ ํŒŒ๊ณ  ๋ฐ ์ฃผ๊ธฐ๋ฅผ ์ ์šฉํ•˜์—ฌ ํŒŒ๋ž‘์˜ ๋‹ค์–‘ํ•œ ํŠน์„ฑ(๋†’์ด, ์ฃผ๊ธฐ, ์†๋„ ๋“ฑ)์„ ํ‰๊ฐ€ํ•จ.
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์ฆํ•จ.
  3. ๊ฒฐ๊ณผ ๋น„๊ต ๋ฐ ๊ฒ€์ฆ
    • ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ์‹คํ—˜์  ์—ฐ๊ตฌ ๋ฐ ๊ธฐ์กด ๋ฌธํ—Œ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ต ๋ถ„์„ํ•จ.
    • ํŒŒ๋ž‘ ์ƒ์„ฑ ๋ฐ ๋ถ•๊ดด ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋™์—ญํ•™์  ๋ณ€ํ™”๋ฅผ ํ‰๊ฐ€ํ•จ.
    • ํ•ด์–‘ ๊ตฌ์กฐ๋ฌผ ๋ฐ ํŒŒ๋ ฅ ๋ฐœ์ „๊ณผ์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ๋…ผ์˜ํ•จ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ํŒŒ๋ž‘ ์ƒ์„ฑ ๋ฐ ๋ถ•๊ดด ํŠน์„ฑ ๋ถ„์„
    • FLOW-3Dยฎ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ๋†’์ด์™€ ์ฃผ๊ธฐ์˜ ํŒŒ๋ž‘์„ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์Œ.
    • ๋†’์€ ์ฃผํŒŒ์ˆ˜์˜ ํŒŒ๋ž‘์—์„œ๋Š” ๊ฐ•ํ•œ ๋ถ•๊ดด(breaking) ํ˜„์ƒ์ด ๋ฐœ์ƒํ•˜๋ฉฐ, ์ €์ฃผํŒŒ ํŒŒ๋ž‘์€ ์•ˆ์ •์ ์ธ ์ง„ํ–‰์„ฑ์„ ์œ ์ง€ํ•จ.
    • ํŒŒ๋ž‘ ๋ถ•๊ดด ์‹œ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ๋ฐ ํ๋ฆ„ ๋ณ€ํ™”๊ฐ€ ๋ช…ํ™•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚จ.
  2. ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ ํ‰๊ฐ€
    • ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ–ˆ์„ ๋•Œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ํ‰๊ท  ์˜ค์ฐจ์œจ์ด 5~10% ์ˆ˜์ค€์œผ๋กœ ํ™•์ธ๋จ.
    • ๋†’์€ ํŒŒ๊ณ (high wave height)์—์„œ๋Š” ์‹คํ—˜๊ฐ’๋ณด๋‹ค ์•ฝ๊ฐ„ ๋‚ฎ์€ ์ˆ˜์น˜๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Œ.
    • ์ถ”๊ฐ€์ ์ธ ๋ชจ๋ธ ๋ณด์ • ๋ฐ ๋‚œ๋ฅ˜ ํšจ๊ณผ ๊ฐœ์„ ์ด ํ•„์š”ํ•จ.
  3. ํ•ด์–‘ ๊ณตํ•™ ๋ฐ ์—๋„ˆ์ง€ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ
    • FLOW-3Dยฎ๋ฅผ ํ™œ์šฉํ•˜๋ฉด ํŒŒ๋ ฅ ๋ฐœ์ „ ์‹œ์Šคํ…œ์˜ ์„ค๊ณ„ ์ตœ์ ํ™” ๊ฐ€๋Šฅ.
    • ํ•ด์–‘ ๊ตฌ์กฐ๋ฌผ(๋ฐฉํŒŒ์ œ, ํ•ด์ƒ ํ”Œ๋žซํผ ๋“ฑ) ์„ค๊ณ„ ์‹œ ํŒŒ๋ž‘ ํ•˜์ค‘ ๋ถ„์„์— ์œ ์šฉํ•˜๊ฒŒ ์ ์šฉ ๊ฐ€๋Šฅ.
    • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ ์กฐ๊ฑด์—์„œ ์ถ”๊ฐ€์ ์ธ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒ€์ฆ ํ•„์š”.

๊ฒฐ๋ก 

  • FLOW-3Dยฎ๋ฅผ ํ™œ์šฉํ•œ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ํŒŒ๋ž‘ ์ƒ์„ฑ ๋ฐ ๋ถ•๊ดด ๋ถ„์„์— ํšจ๊ณผ์ ์ž„.
  • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ–ˆ์„ ๋•Œ ๋†’์€ ์‹ ๋ขฐ์„ฑ์„ ๋ณด์ด๋ฉฐ, ์ผ๋ถ€ ๋‚œ๋ฅ˜ ๋ชจ๋ธ ๊ฐœ์„ ์ด ํ•„์š”ํ•จ.
  • ํ•ด์–‘ ๊ณตํ•™ ๋ฐ ํŒŒ๋ ฅ ๋ฐœ์ „ ์„ค๊ณ„์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•จ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ํŒŒ๋ž‘ ์กฐ๊ฑด ๋ฐ ์‹ค์ œ ํ™˜๊ฒฝ ์ ์šฉ์„ฑ์„ ์ถ”๊ฐ€๋กœ ๊ฒ€ํ† ํ•ด์•ผ ํ•จ.

Reference

  1. Abd Alall, Mostafa. โ€˜โ€˜Numerical Investigation of hydrodynamic Performance ofDouble Submerged Breakwatersโ€, International Journal of Scientific &Engineering Research 11(3), (2020). ISSN 2229-5518
  2. Ahmed, Hany and Abo-Taha, M. โ€˜โ€˜Numerical Investigation of Regular WavesInteraction with Submerged Breakwaterโ€, International Journal of Scientific &Engineering Research 10(11), (2019). ISSN 2229-5518.
  3. S.T. Grilli, M.A. Losada, F. Martin, Characteristics of solitary wave breakinginduced by breakwaters, J. Waterway, Port, Coastal, Ocean Eng. 120 (1) (1994)74โ€“92.
  4. F. Hajivalie, A. Yeganeh-Bakhtiary, Numerical study of breakwater steepnesseffect on the hydrodynamics of standing waves and steady streaming, J.Coastal Res. (2009) 658โ€“662.
  5. F. Hajivalie, A. Yeganeh-Bakhtiary, J.D. Bricker, Numerical study of theeffect of submerged vertical breakwater dimension on wave hydrodynamicsand vortex generation, Coastal Eng. J. 57 (3) (2015) 1550009-1โ€“1550009-21.
  6. Hayakawa, Norio, Tokuzo Hosoyamada, Shigeru Yoshida, and GozoTsujimoto. โ€˜โ€˜Numerical simulation of wave fields around the submergedbreakwater with SOLA-SURF method.โ€ In Coastal Engieering 1998, pp. 843-852. (1999).
  7. D.-S. Hur, C.-H. Kim, D.-S. Kim, J.-S. Yoon, Simulation of the nonlinear dynamicinteractions between waves, a submerged breakwater and the seabed, OceanEng. 35 (5-6) (2008) 511โ€“522.
  8. D.-S. Hur, K.-H. Lee, D.-S. Choi, Effect of the slope gradient of submergedbreakwaters on wave energy dissipation, Eng. Appl. Comput. Fluid Mechanics 5(1) (2011) 83โ€“98.
  9. K. Kawasaki, Numerical simulation of breaking and post-breaking wavedeformation process around a submerged breakwater, Coastal Eng. J. 41 (3-4) (1999) 201โ€“223.
  10. B. Liang, G. Wu, F. Liu, H. Fan, H. Li, Numerical study of wave transmission overdouble submerged breakwaters using non-hydrostatic wave model,Oceanologia 57 (4) (2015) 308โ€“317.
  11. H.A.H. Petit, P. Tรถnjes, M.R.A. Van Gent, P. Van Den Bosch, Numericalsimulation and validation of plunging breakers using a 2D Navier-Stokesmodel, Coastal Eng. 1994 (1995) 511โ€“524.
  12. A. Sasikumar, A. Kamath, O. Musch, A. Erling Lothe, H. Bihs, Numerical studyon the effect of a submerged breakwater seaward of an existing breakwater forclimate change adaptation, ASME 2018 37th International Conference onOcean, Offshore and Arctic Engineering, American Society of MechanicalEngineers Digital Collection, 2018.
  13. Takahiro Uemura, A numerical simulation of the shape of submergedbreakwater to minimize mean water level rise and wave transmission,TVVR13/5004 (2013).
FLOW Vector

Analysis of Flow in the Pool of Fishway Using FLOW-3D Model

FLOW-3D ๋ชจํ˜•์„ ์ด์šฉํ•œ ์–ด๋„(Fishway) Pool ๋‚ด ํ๋ฆ„ ํ•ด์„

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ์–ด๋„(Fishway)๋Š” ๋Œ์ด๋‚˜ ํ•˜์ฒœ์— ์„ค์น˜๋˜์–ด ์–ด๋ฅ˜๊ฐ€ ์ƒ๋ฅ˜๋กœ ์ด๋™ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š” ์ˆ˜๋ฆฌ๊ตฌ์กฐ๋ฌผ์ด๋‹ค. ํ•˜์ง€๋งŒ ๊ธฐ์กด ์–ด๋„์˜ ์„ค๊ณ„๋Š” ์–ด๋ฅ˜์˜ ์ƒํƒœ์  ํŠน์„ฑ๊ณผ ๋ฌผ๋ฆฌ์  ํ™˜๊ฒฝ์„ ์ถฉ๋ถ„ํžˆ ๋ฐ˜์˜ํ•˜์ง€ ๋ชปํ•ด ๊ธฐ๋Šฅ์ด ๋ฏธํกํ•œ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ :
    • FLOW-3D CFD ๋ชจ๋ธ์„ ํ™œ์šฉํ•˜์—ฌ ์–ด๋„ ๋‚ด Pool(ํœด์‹ ๊ณต๊ฐ„)์˜ ์œ ๋™ ํŠน์„ฑ์„ ๋ถ„์„.
    • ์–ด๋ฅ˜์˜ ์†Œ์ƒ(Migration) ํ™˜๊ฒฝ์„ ์ตœ์ ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์›”๋ฅ˜ ์ˆ˜์‹ฌ(Overflow Depth)๊ณผ ์œ ์† ๋ถ„ํฌ๋ฅผ ํ‰๊ฐ€.
    • ๊ตฐ๋‚จํ™์ˆ˜์กฐ์ ˆ์ง€๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์–ด๋„์˜ ์„ค๊ณ„ ์กฐ๊ฑด์„ ๊ฒ€์ฆํ•˜๊ณ  ์ตœ์ ํ™” ๋ฐฉ์•ˆ์„ ์ œ์‹œ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ์ˆ˜์น˜ ๋ชจ๋ธ๋ง ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ™œ์šฉํ•˜์—ฌ 3์ฐจ์› CFD ํ•ด์„ ์ˆ˜ํ–‰.
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด์„ ์ •ํ™•ํžˆ ๋ชจ๋ธ๋ง.
    • RNG k-ฮต ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์ ์šฉํ•˜์—ฌ ๋‚œ๋ฅ˜ ํ๋ฆ„์„ ํ•ด์„.
    • ๊ฒฉ์ž ์„ค์ •:
      • ๊ณ„์‚ฐ ์˜์—ญ์€ 4m ร— 4m ํฌ๊ธฐ, ๊ฒฉ์ž๋Š” 200 ร— 120 ร— 30 (์ด 720,000๊ฐœ) ์‚ฌ์šฉ.
      • ๊ฒฉ์ž ๊ฐ„๊ฒฉ์€ x ๋ฐฉํ–ฅ 0.18m, y ๋ฐฉํ–ฅ 0.14m ~ 0.88m, z ๋ฐฉํ–ฅ 0.07m.
  2. ์–ด๋„ ์„ค๊ณ„ ๋ฐ ์‹คํ—˜ ์กฐ๊ฑด
    • ๋Œ€์ƒ์ง€: ๊ตฐ๋‚จํ™์ˆ˜์กฐ์ ˆ์ง€ ๋‚ด Pool์‹ ์–ด๋„.
    • ์ˆ˜์น˜ ๋ชจ๋ธ ๊ฒ€์ฆ:
      • ๊ธฐ์กด ์ž ์‹ค์ˆ˜์ค‘๋ณด ์–ด๋„์˜ ์ตœ์  ์›”๋ฅ˜ ์ˆ˜์‹ฌ์ธ 10 cm๋ฅผ ์ ์šฉ.
      • ์ดˆ๊ธฐ ์กฐ๊ฑด:
        • ํ’€ ๋‚ด ๋ฌผ์˜ ํ๋ฆ„์ด ์ •์ง€๋œ ์ƒํƒœ์—์„œ ๊ฒฉ๋ฒฝ ์ƒ๋‹จ๋ถ€์˜ ์›”๋ฅ˜๋ฅผ ์‹œ์ž‘์œผ๋กœ ๊ณ„์‚ฐ.
        • ๋ฌผ์˜ ๋ฌผ๋ฆฌ์  ์„ฑ์งˆ:
          • ์˜จ๋„ 20โ„ƒ, ๋ฐ€๋„ 1,000 kg/mยณ, ๋™์ ์„ฑ๊ณ„์ˆ˜ 1.005 ร— 10โปโถ mยฒ/s, ์ค‘๋ ฅ๊ฐ€์†๋„ 9.81 m/sยฒ, ์กฐ๋„๊ณ„์ˆ˜ 0.05.
  3. ๋ถ„์„ ํ•ญ๋ชฉ
    • ์œ ์† ๋ฐ ์œ ๋™ ํŒจํ„ด:
      • Pool ๋‚ด ์œ ์ž…์–ด๋„ ๋…ธ์น˜(Notch)์™€ ์ž ๊ณต(Orifice) ๋ถ€๋ถ„์—์„œ์˜ ์ตœ๋Œ€ ์œ ์† ๋ถ„์„.
      • ์ˆœํ™˜๋ฅ˜ ๋ฐœ์ƒ ์—ฌ๋ถ€ ๋ฐ ์œ ์†์˜ ๋ฒ”์œ„ ํ‰๊ฐ€.
    • ์›”๋ฅ˜ ์ˆ˜์‹ฌ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์˜ํ–ฅ:
      • ์›”๋ฅ˜ ์ˆ˜์‹ฌ 10 cm๋ฅผ ๊ธฐ์ค€์œผ๋กœ, ์œ ์ž… ์œ ์† ์ฆ๊ฐ€ ์‹œ ์–ด๋ฅ˜์˜ ์†Œ์ƒ ํ™˜๊ฒฝ ๋ณ€ํ™”๋ฅผ ๋ถ„์„.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์œ ์† ๋ฐ ์ˆœํ™˜๋ฅ˜ ๋ถ„์„
    • ์›”๋ฅ˜ ์ˆ˜์‹ฌ์ด 10 cm์ธ ๊ฒฝ์šฐ:
      • Pool ๋‚ด ์ตœ๋Œ€ ์œ ์† 0.4 m/s ์ดํ•˜ ์œ ์ง€.
      • ๊ตญ๋ถ€์  ์ง‘์ค‘ ์œ ์†์— ์˜ํ•ด ์ˆœํ™˜๋ฅ˜ ๋ฐœ์ƒ.
      • ์œ ์†์˜ ์ตœ๋Œ€ ๋ฒ”์œ„ 0.15 m/s๋ฅผ ๋„˜์ง€ ์•Š์Œ.
      • ์ด๋Š” ์–ด๋ฅ˜์˜ ์ค‘๊ฐ„ ํœด์‹์ฒ˜๋กœ์„œ ์ ์ ˆํ•œ ํ™˜๊ฒฝ์„ ์ œ๊ณต.
  2. ์›”๋ฅ˜ ์ˆ˜์‹ฌ ์ฆ๊ฐ€ ์‹œ ์–ด๋ฅ˜ ์†Œ์ƒ ํ™˜๊ฒฝ ๋ณ€ํ™”
    • ์›”๋ฅ˜ ์ˆ˜์‹ฌ์ด 10 cm๋ฅผ ์ดˆ๊ณผํ•  ๊ฒฝ์šฐ:
      • ํ’€ ๋‚ด ์œ ์ž… ์œ ์† ์ฆ๊ฐ€๋กœ ์–ด๋ฅ˜์˜ ์†Œ์ƒ ํ™˜๊ฒฝ์ด ๋ถˆ๋Ÿ‰ํ•ด์งˆ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ.
      • ํŠนํžˆ ์–ด๋ฅ˜์˜ ๋Œ์ง„ ์†๋„๋ฅผ ์ดˆ๊ณผํ•˜๋Š” ์œ ์† ๋ฐœ์ƒ ์‹œ ์ด๋™ ์–ด๋ ค์›€์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Œ.
  3. FLOW-3D ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ ํ‰๊ฐ€
    • ์ •์ƒ ์ƒํƒœ ๋„๋‹ฌ ์‹œ๊ฐ„์„ ์šด๋™์—๋„ˆ์ง€๊ฐ€ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€๋˜๋Š” ์‹œ์ ์œผ๋กœ ๊ฐ„์ฃผํ•˜์—ฌ ํšจ์œจ์ ์ธ ํ•ด์„์„ ์ˆ˜ํ–‰.
    • ๋ชจ๋ธ ๊ฒฐ๊ณผ์™€ ๊ธฐ์กด ์—ฐ๊ตฌ ๋น„๊ต:
      • ๊ธฐ์กด ์ž ์‹ค์ˆ˜์ค‘๋ณด ์–ด๋„์˜ ์ตœ์  ์ˆ˜์‹ฌ ๊ฒฐ๊ณผ์™€ ์ผ์น˜.
      • ์–ด๋ฅ˜ ์ด๋™์„ ์œ„ํ•œ ์•ˆ์ „ํ•˜๊ณ  ์•ˆ์ •์ ์ธ ์œ ์† ๋ถ„ํฌ๋ฅผ ํ™•๋ณด.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • FLOW-3D๋ฅผ ํ™œ์šฉํ•œ ์–ด๋„ ๋‚ด ์œ ๋™ ํ•ด์„์ด ์‹ค์งˆ์ ์ธ ์–ด๋ฅ˜ ์†Œ์ƒ ํ™˜๊ฒฝ ํ‰๊ฐ€์— ์œ ์šฉํ•จ์„ ์ž…์ฆ.
    • ์›”๋ฅ˜ ์ˆ˜์‹ฌ 10 cm๋ฅผ ์œ ์ง€ํ•  ๋•Œ ์–ด๋ฅ˜์˜ ํœด์‹์ฒ˜๋กœ ์ตœ์ ์˜ ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Œ.
    • ์›”๋ฅ˜ ์ˆ˜์‹ฌ์ด ์ฆ๊ฐ€ํ•  ๊ฒฝ์šฐ ์œ ์ž… ์œ ์†์ด ์ฆ๊ฐ€ํ•˜์—ฌ ์–ด๋ฅ˜ ์ด๋™์— ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ์Œ.
    • ๊ฒฉ๋ฒฝ๋ถ€์˜ ์›”๋ฅ˜ ์ˆ˜์‹ฌ์„ 10 cm๋กœ ์œ ์ง€ํ•˜์—ฌ ์–ด๋ฅ˜์˜ ์†Œ์ƒ ํ™˜๊ฒฝ์„ ์ตœ์ ํ™”ํ•  ํ•„์š”๊ฐ€ ์žˆ์Œ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ๋‹ค์–‘ํ•œ ์–ด๋ฅ˜์˜ ์ข…๋ฅ˜ ๋ฐ ํฌ๊ธฐ์— ๋”ฐ๋ฅธ ์ตœ์  ์œ ์† ๋ฐ ์ˆ˜์‹ฌ ์กฐ๊ฑด ์ถ”๊ฐ€ ๊ฒ€ํ† .
    • ๋‹ค์–‘ํ•œ ๋‚œ๋ฅ˜ ๋ชจ๋ธ(์˜ˆ: LES, k-ฯ‰ ๋ชจ๋ธ) ์ ์šฉ ๋ฐ ๋น„๊ต.
    • AI ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ™œ์šฉํ•œ ์–ด๋„ ๋‚ด ์œ ๋™ ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ๋ฐœ.
    • ๊ณ„์ ˆ ๋ฐ ์œ ๋Ÿ‰ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์–ด๋„ ์„ค๊ณ„ ์ตœ์ ํ™” ์—ฐ๊ตฌ.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์–ด๋„ ๋‚ด ์œ ๋™ ํŠน์„ฑ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜๊ณ , ์–ด๋ฅ˜ ์†Œ์ƒ ํ™˜๊ฒฝ์„ ์ตœ์ ํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์„ค๊ณ„ ์ง€์นจ์„ ์ œ์‹œํ•˜๋ฉฐ, ์ž์—ฐ ์ƒํƒœ๊ณ„ ๋ณด์ „ ๋ฐ ์ˆ˜์‚ฐ์ž์› ๋ณดํ˜ธ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋‹คโ€‹.

Reference

  1. ๊น€ํ˜œ์„ฑ, ์œค์šฉ์ง„, ์ด๋™ํ›ˆ, ์ด์€ํƒœ(2007).์–ด๋„ ๋ฐ ์œ ์ธ์ˆ˜๋กœ์˜ ๊ณต๊ฐ„์  ๋ฐฐ์น˜์™€ ํ๋ฆ„ ํ•œ๊ตญ์ˆ˜์ž์›ํ•™ํšŒ ํ•™์ˆ  ๋ฐœํ‘œํšŒ๋…ผ๋ฌธ์ง‘ ,ํ•œ๊ตญ์ˆ˜์ž์›ํ•™ํšŒ , pp. 602-606.
  2. ์ด์ง„์›, ๊ฐ•์ฐฝ์ˆ˜, ์ด์‚ผํฌ(2000). ํ˜ผํ•ฉํ˜• ์–ด๋„ ๊ฐœ๋ฐœ ๋ฐ FLUENT ์ˆ˜์น˜๋ชจํ˜•์— ์˜ํ•œ ์ ์ •์„ฑ ๊ฒ€ํ†  ํ•œ๊ตญ์ˆ˜
    ์ž์›ํ•™ํšŒ ํ•™์ˆ ๋ฐœํ‘œํšŒ๋…ผ๋ฌธ์ง‘ ํ•œ๊ตญ์ˆ˜์ž์›ํ•™ํšŒ , pp. 667-672.
  3. ํ•œ๊ตญ์ˆ˜์ž์›ํ•™ํšŒ (2005). ๋Œ์„ค๊ณ„๊ธฐ์ค€, ํ•œ๊ตญ์ˆ˜์ž์›ํ•™ํšŒ .
Numerical-modelling

A Study of the Conditions of Energy Dissipation in Stepped Spillways with ฮ›-shaped step Using FLOW-3D

FLOW-3D๋ฅผ ์ด์šฉํ•œ ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์˜ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ์กฐ๊ฑด ์—ฐ๊ตฌ

์—ฐ๊ตฌ ๋ชฉ์ 

  • ๋ณธ ๋…ผ๋ฌธ์€ FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ(stepped spillway)์˜ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•จ.
  • ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์™€ ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์˜ ์œ ๋™ ํŠน์„ฑ์„ ๋น„๊ตํ•˜์—ฌ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•จ.
  • ๋‹ค์–‘ํ•œ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ ๋‚œ๋ฅ˜ ๊ตฌ์กฐ ๋ฐ ์ˆ˜๋ ฅ ํŠน์„ฑ์„ ํ•ด์„ํ•˜์—ฌ ์ตœ์ ์˜ ์„ค๊ณ„ ์กฐ๊ฑด์„ ํƒ์ƒ‰ํ•จ.
  • ์ˆ˜์น˜ ํ•ด์„์„ ํ†ตํ•ด ์‹คํ—˜์  ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„๋ฅผ ๋ณด์™„ํ•˜๊ณ , ์—ฌ์ˆ˜๋กœ ์„ค๊ณ„ ์ตœ์ ํ™” ๊ฐ€๋Šฅ์„ฑ์„ ๊ฒ€ํ† ํ•จ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ์—ฌ์ˆ˜๋กœ ๋ชจ๋ธ๋ง ๋ฐ ์‹คํ—˜ ์„ค์ •
    • ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์™€ ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋ฅผ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด 3D ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•จ.
    • ๋‹ค์–‘ํ•œ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ ์ˆ˜๋ฉด ํ˜•์ƒ, ์†๋„ ๋ถ„ํฌ, ๊ณต๊ธฐ ํ˜ผ์ž… ํšจ๊ณผ ๋“ฑ์„ ํ‰๊ฐ€ํ•จ.
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ณ , ๋ชจ๋ธ์˜ ์‹ ๋ขฐ์„ฑ์„ ํ‰๊ฐ€ํ•จ.
  2. FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ •
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ์ž์œ ์ˆ˜๋ฉด ํ๋ฆ„์„ ํ•ด์„ํ•จ.
    • ๋‚œ๋ฅ˜ ๋ชจ๋ธ๋กœ RNG kโˆ’ฮตk-\varepsilonkโˆ’ฮต ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ๋™ ํŠน์„ฑ์„ ๋ถ„์„ํ•จ.
    • ๋ฉ”์‰ฌ ๋…๋ฆฝ์„ฑ ๊ฒ€ํ† ๋ฅผ ํ†ตํ•ด ์ตœ์ ์˜ ํ•ด์ƒ๋„๋ฅผ ์„ค์ •ํ•˜๊ณ  ๊ณ„์‚ฐ ์ •ํ™•๋„๋ฅผ ๋†’์ž„.
  3. ๊ฒฐ๊ณผ ๋น„๊ต ๋ฐ ๊ฒ€์ฆ
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์—๋„ˆ์ง€ ์†Œ์‚ฐ์œจ ๋ฐ ์œ ๋™ ํŒจํ„ด์„ ๋น„๊ต ๋ถ„์„ํ•จ.
    • ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์™€ ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ ๊ฐ„์˜ ์ฐจ์ด๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•จ.
    • ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ํ‰๊ท  ์˜ค์ฐจ์œจ์„ ๊ณ„์‚ฐํ•˜์—ฌ ๋ชจ๋ธ์˜ ์ •ํ™•์„ฑ์„ ๊ฒ€์ฆํ•จ.
  4. ์ถ”๊ฐ€ ๋ถ„์„
    • ์œ ๋Ÿ‰ ๋ณ€ํ™”๊ฐ€ ์—ฌ์ˆ˜๋กœ ๋‚ด ์œ ๋™ ํŠน์„ฑ ๋ฐ ์—๋„ˆ์ง€ ์†Œ์‚ฐ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์—ฐ๊ตฌํ•จ.
    • ๊ณต๊ธฐ ํ˜ผ์ž… ํ˜„์ƒ์ด ์—ฌ์ˆ˜๋กœ ์„ฑ๋Šฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•จ.
    • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ์œผ๋กœ ์ถ”๊ฐ€์ ์ธ ์‹คํ—˜์  ๊ฒ€์ฆ ๋ฐ ์ตœ์  ์„ค๊ณ„ ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•จ.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์—๋„ˆ์ง€ ์†Œ์‚ฐ ์„ฑ๋Šฅ ๋น„๊ต
    • ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋Š” ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋ณด๋‹ค ํ‰๊ท  12~18% ๋†’์€ ์—๋„ˆ์ง€ ์†Œ์‚ฐ์œจ์„ ๋ณด์ž„.
    • ๋†’์€ ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ๋„ ์•ˆ์ •์ ์ธ ์œ ๋™์„ ์œ ์ง€ํ•˜๋ฉฐ, ์›”๋ฅ˜(overflow) ๋ฐ ๋‚œ๋ฅ˜ ๊ฐ•๋„๊ฐ€ ๊ฐ์†Œํ•จ.
    • ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์— ๋น„ํ•ด ๋‚™ํ•˜ํ•œ ๋ฌผ์ด ๊ณ„๋‹จ ํ‘œ๋ฉด์—์„œ ๋ถ„์‚ฐ๋˜๋ฉด์„œ ์ถฉ๊ฒฉ ์—๋„ˆ์ง€๊ฐ€ ๊ฐ์†Œํ•จ.
  2. ์œ ๋™ ํŒจํ„ด ๋ฐ ๋‚œ๋ฅ˜ ๊ตฌ์กฐ
    • ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์—์„œ๋Š” ๋ฌผ์ด ๊ณ„๋‹จ ์ธก๋ฉด์œผ๋กœ ํ™•์‚ฐ๋˜๋ฉด์„œ ์œ ๋™์ด ๊ท ๋“ฑํ•˜๊ฒŒ ๋ถ„ํฌ๋จ.
    • ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์—์„œ๋Š” ์ˆ˜์ง ๋ฐฉํ–ฅ ๋‚œ๋ฅ˜๊ฐ€ ๊ฐ•ํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜๋ฉฐ, ๋ถˆ๊ท ํ˜•ํ•œ ํ๋ฆ„์ด ํ˜•์„ฑ๋จ.
    • ๊ณ„๋‹จ ํ˜•์ƒ์ด ๋‚œ๋ฅ˜ ๊ตฌ์กฐ ๋ฐ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ํšจ์œจ์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นจ.
  3. ๊ณต๊ธฐ ํ˜ผ์ž… ํšจ๊ณผ
    • ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ์—์„œ๋Š” ๊ณต๊ธฐ ํ˜ผ์ž…์ด ๊ท ์ผํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜์—ฌ ์••๋ ฅ ๋ณ€ํ™”๊ฐ€ ์™„ํ™”๋จ.
    • ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋ณด๋‹ค ๊ธฐํฌ ํ˜•์„ฑ์ด ๊ท ์ผํ•˜๋ฉฐ, ์ˆ˜์•• ๋ณ€๋™์ด ์ค„์–ด๋“ค์–ด ๊ตฌ์กฐ์  ์•ˆ์ •์„ฑ์ด ํ–ฅ์ƒ๋จ.
    • ๊ณต๊ธฐ ํ•จ์œ ๋Ÿ‰์ด ์ฆ๊ฐ€ํ•˜๋ฉด ์—๋„ˆ์ง€ ์†Œ์‚ฐ ํšจ๊ณผ๊ฐ€ ๋”์šฑ ๋†’์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์ž„.
  4. ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹คํ—˜ ๋น„๊ต
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๊ฐ„ ํ‰๊ท  ์˜ค์ฐจ์œจ์€ 4~7% ์ˆ˜์ค€์œผ๋กœ ๋‚˜ํƒ€๋‚จ.
    • ํŠน์ • ์œ ๋Ÿ‰ ์กฐ๊ฑด์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๊ฐ€ ์‹คํ—˜๊ฐ’๋ณด๋‹ค ๋‹ค์†Œ ๋‚ฎ๊ฒŒ ์˜ˆ์ธก๋˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Œ.
    • ๋ฉ”์‰ฌ ํ•ด์ƒ๋„ ๋ฐ ๋‚œ๋ฅ˜ ๋ชจ๋ธ ๋ณด์ •์„ ํ†ตํ•ด ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ.

๊ฒฐ๋ก 

  • ฮ›์žํ˜• ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋Š” ๊ธฐ์กด ๊ณ„๋‹จ์‹ ์—ฌ์ˆ˜๋กœ๋ณด๋‹ค ๋†’์€ ์—๋„ˆ์ง€ ์†Œ์‚ฐ ํšจ๊ณผ๋ฅผ ๋ณด์ž„.
  • ๊ณต๊ธฐ ํ˜ผ์ž…์ด ๊ท ์ผํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜์—ฌ ์ˆ˜์•• ๋ณ€๋™์ด ์ค„์–ด๋“ค๊ณ  ๊ตฌ์กฐ์  ์•ˆ์ •์„ฑ์ด ์ฆ๊ฐ€ํ•จ.
  • ์‹คํ—˜๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๊ฐ„์˜ ๋†’์€ ์ƒ๊ด€์„ฑ์„ ํ™•์ธํ•จ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ๊ณ„๋‹จ ํ˜•์ƒ๊ณผ ์ถ”๊ฐ€์ ์ธ ์‹คํ—˜์  ๊ฒ€์ฆ์ด ํ•„์š”ํ•จ.

Reference

  1. Chanson, Hubert. Hydraulics of stepped chutes and spillways. CRC Press, 2002.
  2. Cassidy, John J. “Irrotational flow over spillways of finite height.” Journal of the Engineering Mechanics Division 91, no. 6(1965): 155-176.
  3. Sorensen, Robert M. “Stepped spillway hydraulic model investigation.” Journal of Hydraulic Engineering 111, no. 12 (1985):1461-1472.
  4. Pegram, Geoffrey GS, Andrew K. Officer, and Samuel R. Mottram. “Hydraulics of skimming flow on modeled stepped spillways.”Journal of hydraulic engineering 125, no. 5 (1999): 500-510.
  5. Tabbara, Mazen, Jean Chatila, and Rita Awwad. “Computational simulation of flow over stepped spillways.” Computers &structures 83, no. 27 (2005): 2215-2224.
  6. Pedram, A and Mansoori, A. โ€œStudy on the end sill stepped spillway energy dissipationโ€, Seventh Iranian Hydraulic Conference,Power and Water University of Technology, Tehran, Iran, (2008) (In Persian).
  7. Naderi Rad, A et al. โ€œEnergy dissipation in various types of stepped spillways including simple, sills, and sloped ones usingFLUENT numerical modelโ€, journal of civil and environmental engineering 39, no 1 (2009) (In Persian).
  8. Stephenson, D. “Energy dissipation down stepped spillways.” International water power & dam construction 43, no. 9 (1991):27-30.
  9. Soori, S and Mansoori, A. โ€œcompared energy dissipation in Nappe flow and Skimming flow regime using FLOW-3Dโ€,International Conference on Civil, Architecture and Urban Development, Islamic Azad University, Tabriz, Iran, (2013) (In Persian).
  10. Pfister, Michael, Willi H. Hager, and Hans-Erwin Minor. “Bottom aeration of stepped spillways.” Journal of HydraulicEngineering 132, no. 8 (2006): 850-853.
  11. Pfister, Michael, and Willi H. Hager. “Self-entrainment of air on stepped spillways.” International Journal of Multiphase Flow37, no. 2 (2011): 99-107.
  12. Hamedi, Amirmasoud, Mohammad Hajigholizadeh, and Abbas Mansoori. “Flow Simulation and Energy Loss Estimation in theNappe Flow Regime of Stepped Spillways with Inclined Steps and End Sill: A Numerical Approach.” Civil Engineering Journal 2,no. 9 (2016): 426-437.
  13. Sedaghatnejad, S. โ€œInvestigation of energy dissipation in the end sill stepped spillwaysโ€, Master thesis, Sharif University ofTechnology, (2009)..
Comparison-of-waves-overtopping-discharge

Study on Wave Overtopping Discharge Affected by Guiding Wall Angle of Wave Dragon Device Using FLOW-3D Software

FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์ด์šฉํ•œ Wave Dragon ์žฅ์น˜์˜ ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„๊ฐ€ ์›”๋ฅ˜ ์œ ๋Ÿ‰์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ์—ฐ๊ตฌ


์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ํŒŒ๋ ฅ ์—๋„ˆ์ง€ ๋ณ€ํ™˜ ์žฅ์น˜(Wave Energy Converter, WEC)๋Š” ํŒŒ๋„์˜ ์—๋„ˆ์ง€๋ฅผ ์ „๊ธฐ๋กœ ๋ณ€ํ™˜ํ•˜๋Š” ์žฅ์น˜๋กœ, ๊ทธ์ค‘ Wave Dragon์€ ์›”๋ฅ˜ ๋ฐฉ์‹(overtopping)์„ ์ด์šฉํ•˜๋Š” ๋Œ€ํ‘œ์ ์ธ WEC ์ค‘ ํ•˜๋‚˜์ด๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ : Wave Dragon ์žฅ์น˜์˜ ์•ˆ๋‚ด๋ฒฝ(Reflector) ๊ฐ๋„๊ฐ€ ์›”๋ฅ˜ ์œ ๋Ÿ‰(overtopping discharge)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ณ , ์ตœ์ ์˜ ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„๋ฅผ ๋„์ถœํ•˜๋Š” ๊ฒƒ.
  • ์ ‘๊ทผ๋ฒ•: CFD(Computational Fluid Dynamics) ์†Œํ”„ํŠธ์›จ์–ด์ธ FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„์™€ ํŒŒ๊ณ (wave height) ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์›”๋ฅ˜ ์œ ๋Ÿ‰์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ต ๋ถ„์„.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. Wave Dragon ์žฅ์น˜ ๊ฐœ์š”
    • Wave Dragon์€ ์„ธ ๊ฐ€์ง€ ์ฃผ์š” ๊ตฌ์„ฑ ์š”์†Œ๋กœ ์ด๋ฃจ์–ด์ง:
      1. ์•ˆ๋‚ด๋ฒฝ(Guiding Walls): ํŒŒ๋„๋ฅผ ์œ ๋„ํ•˜์—ฌ ๊ฒฝ์‚ฌ๋ฉด(Ramp)์œผ๋กœ ํ–ฅํ•˜๊ฒŒ ํ•จ.
      2. ๊ฒฝ์‚ฌ๋ฉด(Ramp): ํŒŒ๋„๋ฅผ ์ €์ˆ˜์กฐ(Reservoir)๋กœ ์œ ์ž…์‹œํ‚ด.
      3. ์ˆ˜๋ ฅ ํ„ฐ๋นˆ(Hydro Turbines): ์ €์ˆ˜์กฐ์— ์ €์žฅ๋œ ๋ฌผ์ด ํ„ฐ๋นˆ์„ ํ†ต๊ณผํ•˜๋ฉด์„œ ์ „๊ธฐ๋ฅผ ์ƒ์‚ฐ.
  2. FLOW-3D ๊ธฐ๋ฐ˜ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง
    • Navier-Stokes ๋ฐฉ์ •์‹ ๋ฐ ์—ฐ์† ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์œ ์ฒด ํ๋ฆ„์„ ๋ชจ๋ธ๋ง.
    • VOF(Volume of Fluid) ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ์ž์œ  ์ˆ˜๋ฉด์„ ํ•ด์„.
    • ๋ฉ”์‰ฌ ์„ค์ •: ๊ฒฉ์ž ๋…๋ฆฝ์„ฑ ๊ฒ€ํ† ๋ฅผ ํ†ตํ•ด ์ตœ์ ์˜ ํ•ด์ƒ๋„๋ฅผ ํ™•๋ณด.
    • ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ฒ€์ฆ: ๊ธฐ์กด ์—ฐ๊ตฌ ๋ฐ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•˜์—ฌ ๋ชจ๋ธ ์‹ ๋ขฐ์„ฑ ํ‰๊ฐ€.
  3. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ณ€์ˆ˜
    • ํŒŒ๊ณ (Wave Height): 0.2m ~ 1.5m ๋ฒ”์œ„์—์„œ ๋ณ€ํ™”.
    • ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„(Guiding Wall Angle): 50ยฐ, 60ยฐ, 70ยฐ, 80ยฐ, 90ยฐ.
    • ์›”๋ฅ˜๋Ÿ‰ ์ธก์ •: ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„ ๋ฐ ํŒŒ๊ณ ์— ๋”ฐ๋ฅธ ์›”๋ฅ˜ ์œ ๋Ÿ‰์„ ๋น„๊ต ๋ถ„์„.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„์™€ ์›”๋ฅ˜๋Ÿ‰์˜ ๊ด€๊ณ„
    • ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„๊ฐ€ 80ยฐ์—์„œ ์ตœ๋Œ€ ์›”๋ฅ˜๋Ÿ‰์„ ๊ธฐ๋ก.
    • 50ยฐ, 60ยฐ, 70ยฐ์—์„œ๋Š” ์›”๋ฅ˜๋Ÿ‰์ด ๊ฐ์†Œํ•˜๋ฉฐ, 90ยฐ์—์„œ๋Š” ํŒŒ๋„์˜ ์†๋„๊ฐ€ ๋‚ฎ์•„์ ธ ์›”๋ฅ˜๋Ÿ‰์ด ๋‹ค์†Œ ๊ฐ์†Œ.
  2. ํŒŒ๊ณ ์™€ ์›”๋ฅ˜๋Ÿ‰์˜ ๊ด€๊ณ„
    • ํŒŒ๊ณ ๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์›”๋ฅ˜๋Ÿ‰์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์ž„.
    • 1.5m ํŒŒ๊ณ ์—์„œ ๊ฐ€์žฅ ๋†’์€ ์›”๋ฅ˜๋Ÿ‰์ด ๋ฐœ์ƒ.
  3. ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๋น„๊ต
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๊ฐ„ ์˜ค์ฐจ๋Š” ํ‰๊ท  15% ์ด๋‚ด๋กœ, ๋ชจ๋ธ์ด ์‹ ๋ขฐํ•  ๋งŒํ•œ ์ •ํ™•๋„๋ฅผ ๋ณด์ž„.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • Wave Dragon ์žฅ์น˜์˜ ์•ˆ๋‚ด๋ฒฝ ๊ฐ๋„๊ฐ€ ์›”๋ฅ˜ ์œ ๋Ÿ‰์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋ฉฐ, 80ยฐ๊ฐ€ ์ตœ์ ์˜ ๊ฐ๋„๋กœ ๋‚˜ํƒ€๋‚จ.
    • 90ยฐ ์ด์ƒ์—์„œ๋Š” ํŒŒ๋„ ๋ฐ˜์‚ฌ๊ฐ€ ์ค„์–ด๋“ค์–ด ํšจ์œจ์ด ๋‚ฎ์•„์ง€๊ณ , 50ยฐ~70ยฐ์—์„œ๋Š” ์›”๋ฅ˜ ์œ ๋Ÿ‰์ด ๊ฐ์†Œํ•จ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ์‹คํ—˜์  ๊ฒ€์ฆ์„ ํ™•์žฅํ•˜์—ฌ ๋‹ค์–‘ํ•œ ํ•ด์–‘ ์กฐ๊ฑด์—์„œ์˜ ์„ฑ๋Šฅ ํ‰๊ฐ€.
    • ํ„ฐ๋นˆ ํšจ์œจ์„ ๊ณ ๋ คํ•œ ์ตœ์ ์˜ ์ˆ˜๋ ฅ ์—๋„ˆ์ง€ ๋ณ€ํ™˜ ์„ค๊ณ„ ์—ฐ๊ตฌ.
    • ๋‹ค์ค‘ ์•ˆ๋‚ด๋ฒฝ ์„ค๊ณ„ ๋ฐ ์ถ”๊ฐ€์ ์ธ CFD ๊ธฐ๋ฒ• ์ ์šฉ์„ ํ†ตํ•œ ์„ฑ๋Šฅ ๊ฐœ์„ .

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” Wave Dragon๊ณผ ๊ฐ™์€ ์›”๋ฅ˜ํ˜• WEC์˜ ์„ฑ๋Šฅ์„ ์ตœ์ ํ™”ํ•˜๊ธฐ ์œ„ํ•œ CFD ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ํ‰๊ฐ€ ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜๋ฉฐ, ํŒŒ๋ ฅ ๋ฐœ์ „ ์‹œ์Šคํ…œ์˜ ํšจ์œจ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์‹ค์šฉ์ ์ธ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ๊ณตํ•œ๋‹ค.

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setting

Predicting and Optimizing the Infuenced Parameters for CulvertOutlet Scouring Utilizing Coupled FLOW 3Dโ€‘Surrogate Modeling

Culvert Outlet Scouring์˜ ์˜ํ–ฅ ๋งค๊ฐœ๋ณ€์ˆ˜ ์˜ˆ์ธก ๋ฐ ์ตœ์ ํ™”: FLOW-3D์™€ ์„œ๋กœ๊ฒŒ์ดํŠธ ๋ชจ๋ธ๋ง์„ ํ™œ์šฉํ•œ ์—ฐ๊ตฌ


์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ

  • ๋ฌธ์ œ ์ •์˜: ๋ฐ•์Šคํ˜• ์ˆ˜๋กœ(culvert) ์ถœ๊ตฌ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์นจ์‹(scouring)์€ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค.
  • ๋ชฉํ‘œ: ์นจ์‹ ๊นŠ์ด์™€ ์œ„์น˜๋ฅผ ์˜ˆ์ธกํ•˜์—ฌ ๊ตฌ์กฐ์  ์‹คํŒจ๋ฅผ ๋ฐฉ์ง€ํ•˜๊ณ , ์„ค๊ณ„๋ฅผ ์ตœ์ ํ™”ํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•œ๋‹ค.
  • ์ ‘๊ทผ๋ฒ•: ์ˆ˜์น˜ ๋ชจ๋ธ๋ง(FLOW-3D)๊ณผ Box-Behnken ์„ค๊ณ„ ๊ธฐ๋ฒ•์„ ์ด์šฉํ•œ ์„œ๋กœ๊ฒŒ์ดํŠธ ๋ชจ๋ธ๋ง์„ ๊ฒฐํ•ฉ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. FLOW-3D:
    • Reynolds ํ‰๊ท  Navier-Stokes ๋ฐฉ์ •์‹์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์œ ์ฒด ํ๋ฆ„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰.
    • ์นจ์‹ ์˜ˆ์ธก์„ ์œ„ํ•ด RNG ๋‚œ๋ฅ˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉ.
  2. Box-Behnken ์„ค๊ณ„:
    • ์„ธ ๊ฐ€์ง€ ์ฃผ์š” ๋ณ€์ˆ˜: ์œ ๋Ÿ‰(Flow Discharge, QQQ), ์ˆ˜๋กœ ๊ธฐ์šธ๊ธฐ(Slope, SSS), ํ† ์–‘ ์ž…์ž ํฌ๊ธฐ(d50d_{50}d50โ€‹).
    • ์ด 15๊ฐœ ๋ชจ๋ธ์„ ํ†ตํ•ด ๋ณ€์ˆ˜์™€ ์นจ์‹ ๊นŠ์ด ๋ฐ ์œ„์น˜ ๊ฐ„ ์ƒํ˜ธ์ž‘์šฉ ๋ถ„์„.
  3. ๋ฏผ๊ฐ๋„ ๋ถ„์„:
    • ๊ฐ ๋ณ€์ˆ˜์˜ ๋ณ€ํ™”๊ฐ€ ๊ฒฐ๊ณผ(์นจ์‹ ๊นŠ์ด์™€ ์œ„์น˜)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ •๋Ÿ‰ํ™”.
  4. ์ตœ์ ํ™”:
    • ์นจ์‹ ๊นŠ์ด ๋ฐ ์œ„์น˜๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ฑฐ๋‚˜ ์ตœ๋Œ€ํ™”ํ•˜๊ธฐ ์œ„ํ•œ ์„ค๊ณ„ ๋ณ€์ˆ˜์˜ ์กฐํ•ฉ ๋„์ถœ.

์ฃผ์š” ๊ฒฐ๊ณผ

  • ๋ชจ๋ธ ์„ฑ๋Šฅ:
    • ์นจ์‹ ๊นŠ์ด ์˜ˆ์ธก ์ •ํ™•๋„: R2=0.931R^2 = 0.931R2=0.931
    • ์นจ์‹ ์œ„์น˜ ์˜ˆ์ธก ์ •ํ™•๋„: R2=0.969R^2 = 0.969R2=0.969
  • ๋ฏผ๊ฐ๋„ ๋ถ„์„:
    • ์œ ๋Ÿ‰ ์ฆ๊ฐ€: ์นจ์‹ ๊นŠ์ด์™€ ์œ„์น˜์— ์„ ํ˜•์ (๋˜๋Š” ๋น„์„ ํ˜•์ ) ์˜ํ–ฅ์„ ๋ฏธ์นจ.
    • ๊ธฐ์šธ๊ธฐ ์ฆ๊ฐ€: ์ผ์ •ํ•œ ๋น„์„ ํ˜• ํŒจํ„ด ๊ด€์ฐฐ.
    • ํ† ์–‘ ์ž…์ž ํฌ๊ธฐ ์ฆ๊ฐ€: ๋ณต์žกํ•˜๊ณ  ๋น„์„ ํ˜•์ ์ธ ํŒจํ„ด ํ™•์ธ.
  • ์ตœ์  ์„ค๊ณ„:
    • ์นจ์‹ ๊นŠ์ด ์ตœ์†Œํ™”: ์œ ๋Ÿ‰๊ณผ ํ† ์–‘ ์ž…์ž ํฌ๊ธฐ๋ฅผ ๋‚ฎ๊ฒŒ, ๊ธฐ์šธ๊ธฐ๋ฅผ ๋†’๊ฒŒ ์„ค์ •.
    • ์นจ์‹ ์œ„์น˜ ์ตœ๋Œ€ํ™”: ์œ ๋Ÿ‰, ํ† ์–‘ ์ž…์ž ํฌ๊ธฐ, ๊ธฐ์šธ๊ธฐ์˜ ์กฐํ•ฉ์„ ์กฐ์ ˆ.

๊ฒฐ๋ก 

  • FLOW-3D์™€ ์„œ๋กœ๊ฒŒ์ดํŠธ ๋ชจ๋ธ๋ง: ์นจ์‹ ์˜ˆ์ธก๊ณผ ์ตœ์ ํ™”์— ํšจ๊ณผ์ ์ธ ๋„๊ตฌ๋กœ ํ™•์ธ.
  • ์„ค๊ณ„ ์ตœ์ ํ™” ๊ฐ€๋Šฅ์„ฑ: ๊ตฌ์กฐ์  ์นจ์‹ ๋ฌธ์ œ๋ฅผ ์˜ˆ๋ฐฉํ•˜๊ธฐ ์œ„ํ•ด ์„ค๊ณ„ ๋‹จ๊ณ„์—์„œ ์ฃผ์š” ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ์„ ์ •๋ฐ€ํžˆ ํ‰๊ฐ€.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ์ œ์•ˆ: ์ถ”๊ฐ€์ ์ธ ๋ณ€์ˆ˜ ๋„์ž… ๋ฐ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•œ ๋ชจ๋ธ ๊ฐœ์„ .

์ด ๋…ผ๋ฌธ์€ ์ˆ˜์น˜ ํ•ด์„๊ณผ ํ†ต๊ณ„์  ์„ค๊ณ„ ์ ‘๊ทผ๋ฒ•์„ ๊ฒฐํ•ฉํ•˜์—ฌ ์ˆ˜๋กœ ์„ค๊ณ„ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜๋ฉฐ, ํ–ฅํ›„ ๊ด€๋ จ ์—ฐ๊ตฌ์— ์ค‘์š”ํ•œ ๊ธฐ์ดˆ ์ž๋ฃŒ๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Reference

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  2. Ahmad N, Mohammed TA, Melville BW, Ali FH, Yusuf B (2017) Modelling the efect of sediment coarseness on local scour at wide bridge piers. Pertanika J Sci Technol 25(1):191โ€“200
  3. Amini A, Parto AA (2017) 3D numerical simulation of fow feld around twin piles. Acta Geophys 65(6):1243โ€“1251. https://doi.org/10.1007/s11600-017-0094-x
  4. Amini A, Solaimani N (2018) The efects of uniform and nonuniform pile spacing variations on local scour at pile groups. Mar Georesour Geotechnol 36(7):861โ€“866. https://doi.org/10.1080/1064119X.2017.1392658
  5. Bui DT, Shirzadi A, Amini A, Shahabi H, Al-Ansari N, Hamidi S, Ghazvinei PT et al (2020) A hybrid intelligence approach to enhance the prediction accuracy of local scour depth at complex bridge piers. Sustainability (switzerland). https://doi.org/10.3390/su12031063
  6. Chiew Y-M, Lim S-Y (1996) local scour by a deeply submerged horizontal circular jet. J Hydraul Eng 122(9):529โ€“532. https://doi.org/10.1061/(ASCE)0733-9429(1996)122:9(529)
  7. Dey S (2014) Bed-load transport. Fluv Hydrodyn Hydrodyn Sediment Transp Phenom. https://doi.org/10.1007/978-3-642-19062-9_5
  8. Elsebaie IH (2013) An experimental study of local scour around circular bridge pier in sand soil. Int J Civ Environ Eng IJCEE-IJENS 13(1):23โ€“28
  9. Falconer RA (1991) Computational fluid dynamics. By M. B. ABBOTT and D. R. BASCO. Longman, 1989. 425 pp. J Fluid Mech 229:689โ€“689. https://doi.org/10.1017/S0022112091213233
  10. Flow Science I (2012) FLOW-3D, version 12.0 userโ€™s manual. In: I Flow Science (ed). FLOW-3D [Computer software]. Flow Science, Inc, Santa Fe. https://www.fow3d.com
  11. Galรกn ร, Gonzรกlez J (2019) Efects of shape, inlet blockage and wing walls on local scour at the outlet of non-submerged culverts: undermining of the embankment. Environ Earth Sci 79(25):1โ€“16. https://doi.org/10.1007/s12665-019-8749-3
  12. Gรผnal M, Gรผnal AY, Osman K (2019) Simulation of blockage efects on scouring downstream of box culverts under unsteady fow conditions. Int J Environ Sci Technol 16(9):5305โ€“5310. https://doi.org/10.1007/s13762-019-02461-w
  13. Hariri-Ardebili MA, Seyed-Kolbadi SM, Noori M (2018) Response surface method for material uncertainty quantifcation of infrastructures. Shock Vib 2018:1โ€“14. https://doi.org/10.1155/2018/1784203
  14. Hosseini R, Fazloula R, Saneie M, Amini A (2018) Bagged neural network for estimating the scour depth around pile groups. Int J River Basin Manag 16(4):401โ€“412. https://doi.org/10.1080/15715124.2017.1372449
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  19. numerical model. Desert 20(1):47โ€“55 Najafzadeh M (2016) Neurofuzzy-based GMDH-PSO to predict maximum scour depth at equilibrium at culvert outlets. J Pipeline Syst Eng Pract 7(1):06015001
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  26. Iranian Journal of Science and Technology, Transactions of Civil Engineering
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FLOW

Numerical Modelling of Flow Characteristics Over Sharp Crested Triangular Hump

๋‚ ์นด๋กœ์šด ์ •์ƒ๋ถ€๋ฅผ ๊ฐ€์ง„ ์‚ผ๊ฐํ˜• ํ—ˆ๋“ค(Sharp-Crested Triangular Hump) ์œ„์˜ ์œ ๋™ ํŠน์„ฑ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง


์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ

  • ๋ฌธ์ œ ์ •์˜: ์ˆ˜๋ฆฌ ๊ตฌ์กฐ๋ฌผ์˜ ์„ฑ๋Šฅ ๋ฐ ์ˆ˜๋ฉด ํ”„๋กœํŒŒ์ผ์„ ์ •ํ™•ํžˆ ์˜ˆ์ธกํ•˜๋Š” ๊ฒƒ์€ ์‹คํ—˜์ ์œผ๋กœ ์–ด๋ ต๊ณ  ๋น„์šฉ์ด ๋งŽ์ด ๋“ฆ.
  • ๋ชฉํ‘œ: CFD(Computational Fluid Dynamics)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์‚ผ๊ฐํ˜• ํ—ˆ๋“ค ์œ„์˜ ์œ ๋™ ํŠน์„ฑ์„ ๋ณด๋‹ค ํšจ์œจ์ ์ด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ๋ถ„์„.
  • ์ ‘๊ทผ๋ฒ•: FLOW-3D ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ต ๊ฒ€์ฆ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ์‚ผ๊ฐํ˜• ํ—ˆ๋“ค(Weir) ๊ฐœ์š”
    • ์œ„์–ด(Weir)๋Š” ๊ฐœ์ˆ˜๋กœ์—์„œ ์œ ๋Ÿ‰ ์กฐ์ ˆ๊ณผ ๋ฐฉ๋ฅ˜ ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜๋Š” ์ค‘์š”ํ•œ ์ˆ˜๋ฆฌ ๊ตฌ์กฐ๋ฌผ.
    • ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํฌ๊ธฐ๊ฐ€ 50 cm ร— 30 cm ร— 7 cm์ธ Sharp-Crested Triangular Hump ๋ชจ๋ธ์„ ์‚ฌ์šฉ.
  2. ์ˆ˜์น˜ ๋ชจ๋ธ๋ง
    • FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ RANS(Reynolds-Averaged Navier-Stokes) ๋ฐฉ์ •์‹๊ณผ VOF(Volume of Fluid) ๋ฐฉ๋ฒ•์„ ์ ์šฉ.
    • FAVOR(Fractional Area-Volume Obstacle Representation) ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฉ”์‰ฌ ๋‚ด ์žฅ์• ๋ฌผ ์˜ํ–ฅ์„ ๋ฐ˜์˜.
    • ์ด 1,920,000๊ฐœ์˜ ๊ฒฉ์ž ์…€์„ ์‚ฌ์šฉํ•˜์—ฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ˆ˜ํ–‰.
  3. ์‹คํ—˜ ์„ค์ •
    • Universiti Teknologi PETRONAS(UTP)์˜ ์ˆ˜๋ฆฌ ์‹คํ—˜์‹ค์—์„œ ์‹คํ—˜ ์ˆ˜ํ–‰.
    • 30cm ํญ, 60cm ๋†’์ด, 10m ๊ธธ์ด์˜ ํ”Œ๋ฃธ(flume)์—์„œ ์‹คํ—˜ ์ง„ํ–‰.
    • 4๊ฐ€์ง€ ์œ ๋Ÿ‰ ์กฐ๊ฑด(30, 51.3, 75.3, 31 mยณ/h) ๋ฐ ๊ฒฝ์‚ฌ ์กฐ๊ฑด(0, 0.006, 0.01)์œผ๋กœ ์‹คํ—˜ ์„ค๊ณ„.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ vs ์‹คํ—˜ ๋ฐ์ดํ„ฐ ๋น„๊ต
    • ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹คํ—˜ ๊ฒฐ๊ณผ ๊ฐ„์˜ ์ฐจ์ด๋Š” 4~5% ์ด๋‚ด๋กœ ๋งค์šฐ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋ณด์ž„.
    • ์ˆ˜๋ฉด ํ”„๋กœํŒŒ์ผ, ํ‰๊ท  ์œ ์†, ํ”„๋กœ์šฐ๋“œ ์ˆ˜(Froude Number) ๋“ฑ์ด ์‹คํ—˜๊ณผ ์ž˜ ์ผ์น˜.
  2. ์œ ๋™ ํŠน์„ฑ ๋ถ„์„
    • ํ”„๋ผ์šฐ๋“œ ์ˆ˜(Froude Number) ๋ณ€ํ™”:
      • ์ƒ๋ฅ˜(Upstream)์—์„œ๋Š” Froude Number < 1.0 โ†’ ์„œ๋ธŒํฌ๋ฆฌํ‹ฐ์ปฌ(Subcritical) ํ๋ฆ„.
      • ํ•˜๋ฅ˜(Downstream)์—์„œ๋Š” Froude Number > 1.0 โ†’ ์Šˆํผํฌ๋ฆฌํ‹ฐ์ปฌ(Supercritical) ํ๋ฆ„.
    • ์œ ์†(Flow Velocity) ๋ณ€ํ™”:
      • ํ•˜๋ฅ˜๋กœ ๊ฐˆ์ˆ˜๋ก ์œ ์† ์ฆ๊ฐ€, ์‚ผ๊ฐํ˜• ํ—ˆ๋“ค์ด ํ๋ฆ„์„ ๋ฐฉํ•ดํ•˜๋ฉด์„œ ์••๋ ฅ ๋ณ€ํ™”๋ฅผ ์œ ๋ฐœ.
    • ์ˆ˜์‹ฌ(Flow Depth) ๋ณ€ํ™”:
      • ์ƒ๋ฅ˜์—์„œ๋Š” ๋†’์€ ์ˆ˜์‹ฌ ์œ ์ง€, ํ•˜๋ฅ˜์—์„œ๋Š” ๊ธ‰๊ฒฉํ•œ ๊ฐ์†Œ ํ™•์ธ.
  3. ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ์œ ์šฉ์„ฑ
    • FLOW-3D๊ฐ€ ์‚ผ๊ฐํ˜• ํ—ˆ๋“ค ๋ฐ ์ˆ˜๋ฆฌ ๊ตฌ์กฐ๋ฌผ์˜ ์œ ๋™ ํ•ด์„์— ํšจ๊ณผ์ ์ž„์„ ํ™•์ธ.
    • ๊ธฐ์กด์˜ ์‹คํ—˜์  ์ ‘๊ทผ๋ณด๋‹ค ๋น„์šฉ์ด ๋‚ฎ๊ณ  ์‹ ์†ํ•œ ์„ค๊ณ„ ๊ฒ€ํ†  ๊ฐ€๋Šฅ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • FLOW-3D ๊ธฐ๋ฐ˜ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‚ผ๊ฐํ˜• ํ—ˆ๋“ค์˜ ์œ ๋™ ํ•ด์„ ๋ฐ ์„ค๊ณ„ ์ตœ์ ํ™”์— ํšจ๊ณผ์ ์ž„์„ ๊ฒ€์ฆ.
  • ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ–ˆ์„ ๋•Œ ๋†’์€ ์ •ํ™•๋„(์˜ค์ฐจ 4~5%)๋ฅผ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ์ดˆ๊ธฐ ์„ค๊ณ„ ๊ฒ€ํ† ์— ์œ ์šฉํ•จ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ๋‚œ๋ฅ˜ ๋ชจ๋ธ(k-ฮต, RNG, LES) ์ ์šฉ ๋ฐ ์ถ”๊ฐ€์ ์ธ ์ˆ˜๋ฆฌ ๊ตฌ์กฐ๋ฌผ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” ์ˆ˜๋ฆฌ ๊ตฌ์กฐ๋ฌผ์˜ ์œ ๋™ ํ•ด์„์„ ์œ„ํ•ด CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‹คํ—˜์ ์œผ๋กœ ๊ฒ€์ฆํ•˜์—ฌ, ์œ„์–ด ๋ฐ ์‚ผ๊ฐํ˜• ํ—ˆ๋“ค ์„ค๊ณ„์˜ ์ตœ์ ํ™” ๋ฐ ์„ฑ๋Šฅ ์˜ˆ์ธก์„ ์œ„ํ•œ ์‹ ๋ขฐ์„ฑ ๋†’์€ ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ–ˆ๋‹ค๋Š” ์ ์—์„œ ํฐ ์˜๋ฏธ๊ฐ€ ์žˆ๋‹ค.

Reference

  1. R.L. France, Wetland Design: Principles and Practices for Landscape Architects andLand-Use Planners, WW Norton and Company, 2003.
  2. A. Ferrari, SPH simulation of free surface ow over a sharp-crested weir, Adv. WaterResour. 33 (3) (2010) 270โ€“276.
  3. R. Singh, D. Manivannan, T. Satyanarayana, Discharge coefficient of rectangularside weirs, J. Irrig. Drain. Eng. 120 (4) (1994) 814โ€“819.
  4. S.M. Borghei, M.R. Jalili, M. Ghodsian, Discharge coefficient for sharp-crested sideweir in subcritical ow, J. Hydraul. Eng. 125 (10) (1999) 1051โ€“1056.
  5. A. Al-Shukur, M. Al-jumaily, Z. Shaker, Experimental investigation of flow characteristics over crump weir with Different conditions, Saudi J. Eng. Technol. 2 (10)(2017) 373โ€“379.
  6. K.S. Erduran, G. Seckin, S. Kocaman, S. Atabay, 3D numerical modelling of owaround skewed bridge crossing, Eng. Appl. Comput. Fluid Mech. 6 (3) (2012)475โ€“489.
  7. A.S.I. Abdurrasheed, K.W. Yusof, H.B. Takaijudin, A. Ab, B.S. Iskandar, Effects ofbackwater on hydraulic performance evaluation of rainsmart modules in sustainable drainage systems, in: International Conference on Water Resources, Langkawi,Malaysia, November, 2018, pp. 27โ€“28.
  8. P.G. Chanel, J.C. Doering, Assessment of spillway modeling using computationaluid dynamics, Can. J. Civ. Eng. 35 (12) (2008) 1481โ€“1485.
  9. S. Dehdar-Behbahani, A. Parsaie, Numerical modeling of ow pattern in damspillways guide wall. Case study: balaroud dam, Iran, Alexandria Eng. J. 55 (1)(2016) 467โ€“473.
  10. A. Parsaie, A.H. Haghiabi, A. Moradinejad, CFD modeling of ow pattern in spillwaysapproach channel, Sustain. Water Resour. Manag. 1 (3) (2015) 245โ€“251.
  11. H.K. Versteeg, W. Malalasekera, An Introduction to Computational Uid Dynamics:the infinite Volume Method, Pearson education, 2007.
  12. A.S.I. Abdurrasheed, K.,W. Yusof, H.B. Takaijudin, A.A. Ghani, M.M. Muhammad,A.T. Sholagberu, Advances and challenging issues in subsurface drainage moduletechnology and BIOECODS: a review, in: MATEC Web of Conferences, 203, EDPSciences, 2018, 07005.
  13. S.Y. Kumcu, Investigation of ow over spillway modeling and comparison betweenexperimental data and CFD analysis, KSCE J. Civil Eng. 21 (3) (2017) 994โ€“1003.
  14. M. Darw, F. Moukalled, M. Luca, Finite Volume Method in Computational FluidDynamics: an Advanced Introduction with OpenFOAM an Matlab, Springer, 2015.
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pattern

Numerical Modeling of Flow Pattern in Dam Spillwayโ€™s Guide Wall. Case Study : Balaroud dam, Iran

๋Œ ๋ฐฉ์ˆ˜๋กœ(Spillway) ์•ˆ๋‚ด๋ฒฝ์˜ ์œ ๋™ ํŒจํ„ด ์ˆ˜์น˜ ๋ชจ๋ธ๋ง: ์ด๋ž€ Balaroud ๋Œ ์‚ฌ๋ก€ ์—ฐ๊ตฌ


์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ

  • ๋ฌธ์ œ ์ •์˜: ๋Œ ๋ฐฉ์ˆ˜๋กœ์˜ ์•ˆ๋‚ด๋ฒฝ(Guide Wall)์€ ํ๋ฆ„ ํŒจํ„ด์„ ์กฐ์ ˆํ•˜๋Š” ์ค‘์š”ํ•œ ๊ตฌ์กฐ๋ฌผ๋กœ, ์ตœ์ ์˜ ํ˜•์ƒ์„ ์„ค๊ณ„ํ•˜๋ฉด ๋ฐฉ์ˆ˜๋กœ์˜ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒํ•  ์ˆ˜ ์žˆ์Œ.
  • ๋ชฉํ‘œ: Balaroud ๋Œ์˜ ๋ฐฉ์ˆ˜๋กœ ์•ˆ๋‚ด๋ฒฝ์— ๋Œ€ํ•ด ๋ฌผ๋ฆฌ์  ๋ฐ ์ˆ˜์น˜์  ๋ชจ๋ธ๋ง์„ ์ˆ˜ํ–‰ํ•˜์—ฌ, ์ตœ์ ์˜ ์•ˆ๋‚ด๋ฒฝ ํ˜•์ƒ์„ ๋„์ถœ.
  • ์ ‘๊ทผ๋ฒ•: CFD(Computational Fluid Dynamics) ์†Œํ”„ํŠธ์›จ์–ด์ธ FLOW-3D๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์•ˆ๋‚ด๋ฒฝ ์„ค๊ณ„๋ฅผ ๋น„๊ต ๋ถ„์„.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ๋ชจ๋ธ๋ง ๊ฐœ์š”
    • AutoCAD๋ฅผ ์ด์šฉํ•˜์—ฌ 3D ๋ชจ๋ธ ์ƒ์„ฑ ํ›„ FLOW-3D๋กœ ๋‚ด๋ณด๋‚ด๊ธฐ(STL ํŒŒ์ผ ํ˜•์‹).
    • 1:110 ์ถ•์ฒ™์˜ ์‹คํ—˜์‹ค ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ  ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ์ˆ˜์น˜ ํ•ด์„์„ ๋น„๊ต.
  2. ์ˆ˜์น˜ ๋ชจ๋ธ๋ง ๊ณผ์ •
    • ๊ฒฉ์ž ์ƒ์„ฑ(Meshing): ๋‹ค์–‘ํ•œ ํ•ด์ƒ๋„๋กœ ์ˆ˜์น˜ ํ•ด์„์„ ์ง„ํ–‰.
    • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •: ์œ ์ž… ๋ฐ ์œ ์ถœ ์กฐ๊ฑด์„ ์„ค์ •ํ•˜๊ณ  ๋‚œ๋ฅ˜ ๋ชจ๋ธ ์„ ํƒ.
  3. ๋‚œ๋ฅ˜ ๋ชจ๋ธ ๋น„๊ต
    • K-epsilon, RNG K-epsilon, LES(Large Eddy Simulation) ๋ชจ๋ธ์„ ๋น„๊ต.
    • RNG K-epsilon ๋ชจ๋ธ์ด ๊ฐ€์žฅ ์ ํ•ฉํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์ž„.
  4. ์„ธ ๊ฐ€์ง€ ์•ˆ๋‚ด๋ฒฝ ์„ค๊ณ„ ํ‰๊ฐ€
    • ๋ชจ๋ธ 1: ์œ ๋™ ๋ถ„๋ฆฌ๊ฐ€ ์‹ฌํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜์—ฌ ๋ถ€์ ํ•ฉ.
    • ๋ชจ๋ธ 2: ์ ‘๊ทผ ์ฑ„๋„์—์„œ ๊ต์ฐจํŒŒ(Cross Waves) ํ˜•์„ฑ.
    • ๋ชจ๋ธ 3: ์ตœ์†Œํ•œ์˜ ์œ ๋™ ๋ถ„๋ฆฌ ๋ฐ ๊ต์ฐจํŒŒ ์ œ๊ฑฐ โ†’ ์ตœ์ ์˜ ์„ค๊ณ„๋กœ ์„ ์ •.

์ฃผ์š” ๊ฒฐ๊ณผ

  • ๋ชจ๋ธ 3์ด ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์ด๋ฉฐ, ๊ต์ฐจํŒŒ ๋ฐœ์ƒ์„ ์ตœ์†Œํ™”ํ•˜๊ณ  ์œ ๋Ÿ‰์„ ์›ํ™œํ•˜๊ฒŒ ์ „๋‹ฌ.
  • ์œ ๋Ÿ‰-์ˆ˜์œ„ ๊ณก์„ (Rating Curve) ๋ถ„์„์„ ํ†ตํ•ด ๋ชจ๋ธ 3์ด ๋‹ค๋ฅธ ์„ค๊ณ„๋ณด๋‹ค ํšจ์œจ์ ์ž„์„ ํ™•์ธ.
  • FLOW-3D์˜ RNG K-epsilon ๋‚œ๋ฅ˜ ๋ชจ๋ธ์ด ์œ ๋™ ํŒจํ„ด ํ•ด์„์— ๊ฐ€์žฅ ์ ํ•ฉ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ์ˆ˜์น˜ ๋ชจ๋ธ๋ง๊ณผ ๋ฌผ๋ฆฌ์  ์‹คํ—˜์„ ๊ฒฐํ•ฉํ•˜์—ฌ ์ตœ์ ์˜ ์•ˆ๋‚ด๋ฒฝ ํ˜•์ƒ์„ ๋„์ถœ.
  • ์ตœ์  ์„ค๊ณ„(๋ชจ๋ธ 3)๋ฅผ ํ†ตํ•ด ๋ฐฉ์ˆ˜๋กœ ์„ฑ๋Šฅ์„ ๊ฐœ์„ ํ•˜๊ณ , ์ˆ˜๋ ฅ ๊ตฌ์กฐ๋ฌผ์˜ ์•ˆ์ „์„ฑ์„ ํ–ฅ์ƒ ๊ฐ€๋Šฅ.
  • ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์œ ์ž… ์กฐ๊ฑด๊ณผ ์ถ”๊ฐ€์ ์ธ ์„ค๊ณ„ ๋ณ€์ˆ˜๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ๋”์šฑ ์ •๋ฐ€ํ•œ ์ตœ์ ํ™”๋ฅผ ์ˆ˜ํ–‰ํ•  ํ•„์š”.

์ด ์—ฐ๊ตฌ๋Š” ๋Œ ๋ฐฉ์ˆ˜๋กœ ์•ˆ๋‚ด๋ฒฝ ์„ค๊ณ„์˜ ์ตœ์ ํ™”๋ฅผ ๋ชฉํ‘œ๋กœ ํ•˜๋ฉฐ, ์ˆ˜์น˜ ํ•ด์„ ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•œ CFD ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ๊ฒ€์ฆ ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•œ๋‹ค๋Š” ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค.

Reference

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  8. C. Chinnarasri, D. Kositgittiwong, P.Y. Julien, Model of flowover spillways by computational fluid dynamics, Proc. ICE โ€“Water Manage. (2014) 164โ€“175.
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Weir

Discharge Formula and Hydraulics of Rectangular Side Weirs in the Small Channel and Field Inlet

์†Œ๊ทœ๋ชจ ์ˆ˜๋กœ ๋ฐ ์œ ์ž…๊ตฌ์—์„œ์˜ ์ง์‚ฌ๊ฐํ˜• ์ธก๋ฉด ์œ„์–ด์˜ ์œ ๋Ÿ‰ ๊ณต์‹ ๋ฐ ์ˆ˜๋ฆฌํ•™

Yingying Wang, Mouchao Lv, Wenโ€™e Wang, Ming Meng

Abstract


In this study, experimental investigations were conducted on rectangular side weirs with different widths and heights. Corresponding simulations were also performed to analyze hydraulic characteristics including the water surface profile, flow velocity, and pressure. The relationship between the discharge coefficient and the Froude number, as well as the ratios of the side weir height and width to upstream water depth, was determined. A discharge formula was derived based on a dimensional analysis. The results demonstrated good agreement between simulated and experimental data, indicating the reliability of numerical simulations using FLOW-3D software (version 11.1). Notably, significant fluctuations in water surface profiles near the side weir were observed compared to those along the center line or away from the side weir in the main channel, suggesting that the entrance effect of the side weir did not propagate towards the center line of the main channel. The proposed discharge formula exhibited relative errors within 10%, thereby satisfying the flow measurement requirements for small channels and field inlets.

1. Introduction


Sharp crested weirs are used to obtain discharge in open channels by solely measuring the water head upstream of the water. Side weirs, as a kind of sharp-crested weir, are extensively used for flow measurement, flow diversion, and flow regulation in open channels. Side weirs can be placed directly in the channel direction or field inlet, without changing the original structure of the channel. Thus, side weirs have certain advantages in the promotion and application of flow measurement facilities in small channels and field inlets. The rectangular sharp-crested weir is the most commonly available, and many scholars have conducted research on it.
Research on side weirs started in 1934. De Marchi studied the side weir in the rectangular channel and derived the theoretical formula based on the assumption that the specific energy of the main flow section of the rectangular channel in the side weir section was constant [1]. Ackers discussed the existing formulas for the prediction of the side weir discharge coefficient [2]. Chen concluded that the momentum theorem was more suitable for the analytical calculation of the side weir based on the experimental data [3]. Based on previous theoretical research, more and more scholars began to carry out experimental research on side weirs. Uyumaz and Muslu conducted experiments under subcritical and supercritical flow regimes and derived expressions for the side weir discharge and water surface profiles for these regimes by comparing them with experimental results [4]. Borghei et al. developed a discharge coefficient equation for rectangular side weirs in subcritical flow [5]. Ghodsian [6] and Durga and Pillai [7] developed a discharge coefficient equation of rectangular side weirs in supercritical flow. Mohamed proposed a new approach based on the video monitoring concept to measure the free surface of flow over rectangular side weirs [8]. Durga conducted experiments on rectangular side weirs of different lengths and sill heights and discussed the application of momentum and energy principles to the analysis of spatially varied flow under supercritical conditions. The results showed that the momentum principle was fitting better [7]. Omer et al. obtained sharp-crested rectangular side weirs discharge coefficients in the straight channel by using an artificial neural network model for a total of 843 experiments [9]. Emiroglu et al. studied water surface profile and surface velocity streamlines, and developed a discharge coefficient formula of the upstream Froude number, the ratios of weir length to channel width, weir length to flow depth, and weir height to flow depth [10]. Other investigators [11,12,13,14] have conducted experiments to study flow over rectangular side weirs in different flow conditions.
Numerous studies have been conducted in laboratories to this day. Compared to experimental methods, the numerical simulation method has many attractive advantages. We can easily obtain a wide range of hydraulic parameters of side weirs using numerical simulation methods, without investing a lot of manpower and resources. In addition, we can conduct small changes in inlet condition, outlet condition, and geometric parameters, and study their impact on the flow characteristics of side weirs. Therefore, with the development and improvement of computational fluid dynamics, the numerical simulation method has begun to be widely applied on side weirs. Salimi et al. studied the free surface changes and the velocity field along a side weir located on a circular channel in the supercritical regime by numerical simulation [15]. Samadi et al. conducted a three-dimensional simulation on rectangular sharp-crested weirs with side contraction and without side contraction and verified the accuracy of numerical simulation compared with the experimental results [16]. Aydin investigated the effect of the sill on rectangular side weir flow by using a three-dimensional computational fluid dynamics model [17]. Azimi et al. studied the discharge coefficient of rectangular side weirs on circular channels in a supercritical flow regime using numerical simulation and experiments [18]. The discharge coefficient over the two compound side weirs (Rectangular and Semi-Circle) was modeled by using the FLOW-3D software to describe the flow characteristics in subcritical flow conditions [19]. Safarzadeh and Noroozi compared the hydraulics and 3D flow features of the ordinary rectangular and trapezoidal plan view piano key weirs (PKWs) using two-phase RANS numerical simulations [20]. Tarek et al. investigated the discharge performance, flow characteristics, and energy dissipation over PK and TL weirs under free-flow conditions using the FLOW-3D software [21].
As evident from the aforementioned, the majority of studies have primarily focused on determining the discharge coefficient, while comparatively less attention has been devoted to investigating the hydraulic characteristics of rectangular side weirs. Numerical simulations were conducted on different types of side weirs, including compound side weirs and piano key weirs, in different cross-section channels under different flow regimes. It is imperative to derive the discharge formula and investigate other crucial flow parameters such as depth, velocity, and pressure near side weirs for their effective implementation in water measurement. In this study, a combination of experimental and numerical simulation methods was employed to examine the relationship between the discharge coefficient and its influencing factors; furthermore, a dimensionless analysis was utilized to derive the discharge formula. Additionally, water surface profiles near side weirs and pressure distribution at the bottom of the side channel were analyzed to assess safety operation issues associated with installing side weirs.

2. Principle of Flow Measurement


Flow discharge over side weirs is a function of different dominant physical and geometrical quantities, which is defined as

whereย Qย is flow discharge over the side weir,ย bย is the side weir width,ย Bย is the channel width,ย Pย is the side weir height,ย vย is the mean velocity,ย h1ย is water depth upstream the side weir in the main channel,ย gย is the gravitational acceleration,ย ฮผย is the dynamic viscosity of fluid,ย ฯย is fluid density, andย iย is the channel slope (Figure 1).

Figure 1.ย Definition sketch of parameters of rectangular side weir under subcritical flow. Note:ย h1ย andย h2ย represent water depth upstream and downstream of the side weir in the main channel, respectively;ย y1ย andย y2ย represent weir head upstream and downstream of the side weir in the main channel, respectively.

In experiments when the upstream weir head was over 30 mm, the effects of surface tension on discharge were found to be minor [22]. The viscosity effect was far less than the gravity effect in a turbulent flow. Henceย ฮผย andย ฯƒย were excluded from the analysis [23,24]. In addition, the channel width, the channel slope, and the fluid density were all constant, so the discharge formula can be simplified as:

According to the Buckingham ฯ€ theorem, the following relationship among the dimensionless parameters is established:

Selectedย h1ย andย gย as basic fundamental quantities, and the remaining physical quantities were represented in terms of these fundamental quantities as follows:

In which

Based on dimensional analysis, the following equations were derived.

Namely

So the discharge formula can be simplified as:

In a sharp-crested weir, discharge over the weir is proportional to ๐ป1.51H11.5 (H1 is the upstream total head above the crest, namely H1 = y1 + v2/2 g), so Equation (6) can be transformed as follows:

Consequently, the discharge formula over rectangular side weirs is defined as follows, in which ๐‘š=๐‘“(๐‘โ„Ž1m=f(bh1,๐‘ƒโ„Ž1,๐น๐‘Ÿ1)Ph1,Fr1). Parameter m represents the dimensionless discharge coefficient. Parameter Fr1 represents the Froude number at the upstream end of the side weir in the main channel.

3. Experiment Setup


The experimental setup contained a storage reservoir, a pumping station, an electromagnetic flow meter, a control valve, a stabilization pond, rectangular channels, a side weir, and a sluice gate. The layout of the experimental setup is shown in Figure 2. Water was supplied from the storage reservoir using a pump. The flow discharge was measured with an electromagnetic flow meter with precision of ยฑ3โ€ฐ. Water depth was measured with a point gauge with an accuracy of ยฑ0.1 mm. The flow velocity was measured with a 3D Acoustic Doppler Velocimeter (Nortek Vectrino, manufactured by Nortek AS in Rud, Norway). In order to eliminate accidental and human error, multiple measurements of the water depth and flow velocity at the same point were performed and the average values were used as the actual water depth and flow velocity of the point. The main and side channels were both rectangular open channels measuring 47 cm in width and 60 cm in height. The geometrical parameters of rectangular side weirs are shown in Table 1.

Figure 2.ย Layout of the test system.
Table 1.ย The geometrical parameters of rectangular side weirs.

When water passes through a side weir, its quality point is affected not only by gravity but also by centrifugal inertia force, leading to an inclined water surface within that particular cross-section before reaching the weir. In order to examine water profiles adjacent to side weirs, cross-sectional measurements were conducted at regular intervals of 12 cm both upstream and downstream of each side weir, denoted as sections โ‘  to โ‘ฉ, respectively. Measuring points were positioned near the side weir (referred to as โ€œSide Iโ€), along the center line of the main channel (referred to as โ€œSide IIโ€), and far away from the side weir (referred to as โ€œSide IIIโ€) for each cross-section. The schematic diagram illustrating these measuring points is presented inย Figure 3.

Figure 3.ย Schematic diagram of measurement points.

4. Numerical Simulation Settings

4.1. Mathematical Model

4.1.1. Governing Equations

Establishing the controlling equations is a prerequisite for solving any problem. For the flow analysis problem of water flowing over a side weir in a rectangular channel, assuming that no heat exchange occurs, the continuity equation (Equation (9)) and momentum equation (Equation (10)) can be used as the controlling equations as follows:

The continuity equation:

Momentum equation:

where:ย ฯย is the fluid density, kg/m3;ย tย is time, s;ย ui,ย ujย are average flow velocities,ย u1,ย u2,ย u3ย represent average flow velocity components in Cartesian coordinates x, y, and z, respectively, m/s;ย ฮผย is dynamic viscosity of fluid, Nยทs/m2;ย pย is the pressure, pa;ย Siย is the body force,ย S1ย = 0,ย S2ย = 0,ย S3ย = โˆ’ฯg, N [24].

4.1.2. RNG k-ฮต Model

The water flow in the main channel is subcritical flow. When the water flows through the side weir, the flow line deviates sharply, the cross section suddenly decreases, and due to the blocking effect of the side weir, the water reflects and diffracts, resulting in strong changes in the water surface and obvious three-dimensional characteristics of the water flow [25]. Therefore the RNGย kฮตย model is selected. The model can better handle flows with greater streamline curvature, and its correspondingย kย andย ฮตย equation is, respectively, as follows:

where: k is the turbulent kinetic energy, m2/s2ฮผeff is the effective hydrodynamic viscous coefficient; Gk is the generation item of turbulent kinetic energy k due to gradient of the average flow velocity; Cโˆ—1ฮตC1ฮต*, C2ฮต are empirical constants of 1.42 and 1.68, respectively; ฮต is turbulence dissipation rate, kgยทm2/s2.

4.1.3. TruVOF Model

Because the shape of the free surface is very complex and the overall position is constantly changing, the fluid flow phenomenon with a free surface is a typical flow phenomenon that is difficult to simulate. The current methods used to simulate free surfaces mainly include elevation function method, the MAC method [26] and the VOF (Volume of Fluid) method [27]. The VOF method is a method proposed by Hirt and Nichols to deal with the complex motion of the free surface of a fluid, which can describe all the complexities of the free surface with only one function. The basic idea of the method is to define functionsย ฮฑwย andย ฮฑa, which represent the volume percentage of the calculation area occupied by water and air, respectively. In each unit cell, the sum of the volume fractions of water and air is equal to 1, i.e.,

The TruVOF calculation method can accurately track the change of free liquid level and accurately simulate the flow problems with free interface. Its equation is:

where:ย u_ยฏmย is the average velocity of the mixture;ย tย is the time;ย Fย is the volume fraction of the required fluid.

4.2. Parameter Setting and Boundary Conditions

To streamline the iterative calculation and minimize simulation time, we selected a main channel measuring 7.5 m in length and a side channel measuring 2.5 m in length for simulation. Three-dimensional geometrical models were developed using the software AutoCAD (version 2016-Simplified Chinese). The spatial domain was meshed using a constructed rectangular hexahedral mesh and each cell size was 2 cm. A volume flow rate was set in the channel inlet with an auto-adjusted fluid height. An outflowโ€“outlet condition was positioned at the end of the side channel. A symmetry boundary condition was set in the air inlet at the top of the model, which represented that no fluid flows through the boundary. The lower Z (Zmin) and both of the side boundaries were treated as a rigid wall (W). No-slip conditions were applied at the wall boundaries.ย Figure 4ย illustrates these boundary conditions.

Figure 4.ย Diagram of boundary conditions.

5. Results

5.1. Water Surface Profiles

Water surface profiles were crucial parameters for selecting water-measuring devices. Upon analyzing the consistent patterns observed in different conditions, one specific condition was chosen for further analysis. To validate the reliability of numerical simulation, measured and simulated water depths of rectangular side weirs with different widths and heights at a discharge rate of 25 L/s were extracted for comparison (Table 2ย andย Figure 5). The results inย Table 2ย andย Figure 5ย indicate a maximum absolute relative error value of 9.97% and all absolute relative error values within 10%, demonstrating satisfactory agreement between experimental and simulated results.

Figure 5.ย Comparison between measured and simulated flow depth.
P/cmSection Positionb = 20 cmb = 30 cmb = 40 cmb = 47 cm
hm/cmhs/cmR/%hm/cmhs/cmR/%hm/cmhs/cmR/%hm/cmhs/cmR/%
7โ‘ฃ21.4919.49.7317.7416.94.7416.0714.519.7113.7912.509.35
โ‘ฃโ€ฒ20.4819.056.9817.7816.149.2215.6914.318.80
โ‘ฅ20.7119.028.1617.8216.318.4715.9214.538.7315.2313.809.39
โ‘งโ€ฒ22.0020.228.0918.2716.748.3716.5914.969.83
โ‘ง22.3720.179.8317.7316.805.2516.2715.087.3115.3614.366.51
10โ‘ฃ24.1522.66.4219.9618.845.6119.0318.582.3616.8315.855.82
โ‘ฃโ€ฒ24.2122.058.9219.4918.196.6718.7518.352.13
โ‘ฅ24.0121.789.2919.6518.346.6718.9518.631.6917.5216.098.16
โ‘งโ€ฒ24.8822.49.9720.6519.216.9720.1219.294.13
โ‘ง24.0322.964.4521.1619.348.6019.7119.431.4218.3917.365.60
15โ‘ฃ28.8527.564.4725.8624.096.8424.0521.898.9822.7320.808.49
โ‘ฃโ€ฒ28.4926.975.3425.1923.845.3623.4221.468.37
โ‘ฅ28.8526.986.4825.7223.996.7323.2321.826.0723.1021.058.87
โ‘งโ€ฒ28.9627.305.7326.3824.198.3024.1822.277.90
โ‘ง29.1827.964.1826.5724.547.6424.5722.339.1223.2021.109.05
20โ‘ฃ33.2932.342.8530.6329.025.2628.4926.875.6926.9925.814.37
โ‘ฃโ€ฒ33.1431.953.5929.7528.623.8028.1126.794.70
โ‘ฅ33.3231.794.5930.0428.455.2928.9926.867.3527.4226.722.55
โ‘งโ€ฒ34.0232.394.7930.6928.955.6729.5927.257.91
โ‘ง34.6232.845.1431.4429.296.8429.5127.317.4628.2127.004.29
Table 2.ย Comparison of measured and simulated water depths on Side I of each side weir at a discharge of 25 L/s

Due to the diversion caused by the side weir, there was a rapid variation in flow near the side weir in the main channel. In order to investigate the impact of the side weir on water flow in the main channel, water surface profiles on Side I, Side II, and Side III were plotted with a side weir width and height both set at 20 cm at a discharge rate of 25 L/s (Figure 6). As depicted inย Figure 6, within a certain range of the upstream end of the main channel, water depths on Side I, Side II, and Side III were nearly equal with almost horizontal profiles. As the distance between the location of water flow and the upstream end of the weir crest decreased gradually, there was a gradual decrease in water depth on Side I along with an inclined trend in its corresponding profile; however, both Side II and Side III still maintained almost horizontal profiles. When approaching closer to the side weir area with flowing water, there was an evident reduction in water depth on Side I accompanied by a significant downward trend visible across an expanded decline range. The minimum point occurred near the upstream end of the weir crest before gradually increasing again towards downstream sections. At the crest section of the side weir, there is an upward trend observed in the water surface. The water surface tended to stabilize downstream of the main channel within a certain range from the downstream end of the weir crest. There was no significant change in the water surface profiles of Side โ…ก and Side โ…ข in the crest section. It can be inferred that the side weir entrance effect occurred only between Side โ…  and Side โ…ก. M. Emin reported the same pattern [10].

Figure 6.ย Water surface profiles on Side I, Side II, and Side III with a side weir width of 20 cm and height of 15 cm at a discharge of 25 L/s.

For a more accurate study on the entrance effect of the side weir on the Water Surface Profile (WSP) for Side I; a comparative analysis conducted using different widths but the same height (15 cm) at a discharge rate of 25 L/s is presented throughย Figure 7,ย Figure 8,ย Figure 9ย andย Figure 10.

Figure 7.ย Water surface profile on Side โ…  with a side weir width of 20 cm and height of 15 cm at a discharge of 25 L/s.
Figure 8.ย Water surface profile on Side โ…  with a side weir width of 30 cm and height of 15 cm at a discharge of 25 L/s.
Figure 9.ย Water surface profile on Side โ…  with a side weir width of 40 cm and height of 15 cm at a discharge of 25 L/s.
Figure 10.ย Water surface profile on Side โ…  with a side weir width of 47 cm and height of 15 cm at a discharge of 25 L/s.

According toย Figure 7,ย Figure 8,ย Figure 9ย andย Figure 10, the water depth upstream of the main channel started to decrease as it approached the upstream end of the weir crest and then gradually increased at the weir crest section. In other words, the water surface profile exhibited a backwater curve along the length of the weir crest. The water depth remained relatively stable downstream of the main channel within a certain range from the downstream end of the weir crest. Additionally, there was a higher water depth downstream of the main channel compared to that upstream of the main channel. Furthermore, an increase in the width of the side weir led to a gradual reduction in fluctuations on its water surface.

5.2. Velocity Distribution

The law of flow velocity distribution near the side weir is the focus of research and analysis, so the simulated and measured values of flow velocity near the side weir were compared and analyzed. Take the discharge of 25 L/s, the height of 15 cm, and the width of 30 cm of the side weir as an example to illustrate.ย Figure 11ย shows the measured and simulated velocity distribution in the x-direction of cross-section โ‘ฃ. As can be seen fromย Figure 11, the diagrams of the measured and simulated velocity distribution were relatively consistent, and the maximum absolute relative error between the measured and simulated values at the same measurement point was 9.37%, and the average absolute relative error was 3.97%, which indicated a satisfactory agreement between the experimental and simulated results.

Figure 11.ย Velocity distribution in the x-direction of section โ‘ฃ: when the discharge is 25 L/s, the height of the side weir is 15 cm and the width of the side weir is 30 cm. (a) Measured velocity distribution; (b) Simulated velocity distribution.

Fromย Figure 11, it can be seen that the flow velocity gradually increased from the bottom of the channel towards the water surface in the Z-direction, and the flow velocity gradually increased from Side โ…ข to Side โ…  in the Y-direction. The maximum flow velocity occurred near the weir crest.

Figure 12ย shows the distribution of flow velocity at different depths (z/Pย = 0.3, z/Pย = 0.8, z/Pย = 1.6) with a side weir width of 30 cm and height of 15 cm at a discharge of 25 L/s. The water flow line began to bend at a certain point upstream of the main channel, and the closer it was to the upstream end of the weir crest, the greater the curvature. The maximum curvature occurred at the downstream end of the weir crest. The flow patterns at the bottom, near the side weir crest, and above the side weir crest were significantly different. There was a reverse flow at the bottom of the main channel, where the forward and reverse flows intersect, resulting in a detention zone. The maximum flow velocity at the bottom layer occurred at the upstream end of the side weir crest. When the location of water flow approached the weir crest, the maximum flow velocity occurred at the upstream end of the weir crest. The maximum flow velocity on the water surface occurred at the downstream end of the weir crest. As the water depth decreased, the position of the maximum flow velocity gradually moved from the upstream end of the side weir to the downstream end of the side weir.

Figure 12.ย Distribution of flow velocity at different depths with a side weir width of 30 cm and height of 15 cm at a discharge of 25 L/s. (a) z/Pย = 0.3; (b) z/Pย = 0.8; (c) z/Pย = 1.6.

5.3. Side Channel Pressure Distribution

When water flowed through the side weir, an upstream water level was formed, resulting in a pressure zone at the junction with the side channel. This pressure zone led to increased water pressure on the floor of the side channel, which affected its stability and durability. In small channels or fields where erosion resistance is weak, excessive pressure can cause scour holes. Therefore, analyzing the pressure distribution in the side channel is necessary to select an appropriate height and width for the side weir that effectively reduces its impact on the bottom plate.

To investigate the impact of side weir width on hydraulic characteristics, pressure data was collected at a discharge rate of 25 L/s for side weirs with heights of 20 cm and widths ranging from 20 cm to 47 cm. The pressure distribution map was drawn, as shown inย Figure 13.

Figure 13.ย Comparison of pressure distribution on the bottom plate of the side channel with different widths of side weirs when the discharge is 25 L/s and the height of side weirs is 20 cm. (a)ย Pย = 20 cm,ย bย = 20 cm; (b)ย Pย = 20 cm,ย bย = 30 cm; (c)ย Pย = 20 cm,ย bย = 40 cm; (d)ย Pย = 20 cm,ย bย = 47 cm.

As can be seen fromย Figure 13, the pressure at the bottom of the side channel decreased as the width of the side weir increased. This uneven distribution of water flow on the weir was caused by the sharp bending of water flow lines and the influence of centrifugal inertia force over a short period. After passing through the side weir, the water flow became symmetrically distributed with respect to the axis of the side channel, leaning towards the right bank at a certain distance. As we increased the width of the side weir, we noticed that its position gradually approached the side weir and maximum pressure decreased at this location where the water tongue formed due to flowing through it (Figure 13). For a constant height (20 cm) but varying widths (20 cm, 30 cm, 40 cm, and 47 cm), we measured maximum pressures at these positions as follows: 103,713 Pa, 103,558 Pa, 103,324 Pa, and 103,280 Pa, respectively. Consequently, increasing width reduced the impact on the side channel from water flowing through it while changing pressure distribution from concentration to dispersion in a vertical direction. In the practical application of side weirs, appropriate height should be selected based on the bottom plateโ€™s capacity to withstand the pressure exerted by flowing water within channels.

To investigate how height affects the hydraulic characteristics of rectangular side weirs further (Figure 14), we extracted pressures on bottom plates when discharge was fixed at 25 L/s while varying heights were set as follows: 7 cm, 10 cm, 15 cm, and 20 cm, respectively.

Figure 14.ย Comparison of pressure distribution on the bottom plate of the side channel with different heights of side weirs when discharge is 25 L/s and the width of side weirs is 20 cm. (a)ย Pย = 7 cm,ย bย = 20 cm; (b)ย Pย = 10 cm,ย bย = 20 cm; (c)ย Pย = 15 cm,ย bย = 20 cm; (d)ย Pย = 20 cm,ย bย = 20 cm.

As shown inย Figure 14, when the width of the side weir was constant, the pressure at the bottom of the side channel increased with the height of the side weir. As the height of the side weir increased, the water tongue formed by flow through the side weir gradually moved away from it in a downstream direction. In terms of vertical water flow, as the height of the side weir increased, the position of maximum pressure at which the water tongue falls shifted closer to the axis of the side channel from its right bank. Moreover, an increase in height resulted in higher maximum pressure at this falling point. For a constant width (20 cm) and varying heights (7 cm, 10 cm, 15 cm, and 20 cm), corresponding maximum pressures at this landing point were measured as 102,422 Pa, 102,700 Pa, 103,375 Pa, and 103,766 Pa, respectively. Consequently, increasing width led to a greater impact on both flow through and pressure distribution within the side channel; transforming it from scattered to concentrated along its lengthwise direction. Therefore, when applying such weirs practically one should select an appropriate width based on what pressure can be sustained by their respective channel bottom plates.

5.4. Discharge Coefficient

Based on dimensionless analysis, the influencing parameters of the discharge coefficient were obtained. To study the effect of parametersย Fr1,ย b/h1, andย P/h1, discharge coefficient values were plotted againstย Fr1,ย b/h1, andย P/h1, shown inย Figure 15,ย Figure 16ย andย Figure 17. The discharge coefficient decreased as parametersย Fr1ย andย b/h1ย increased. The discharge coefficient increased as parameterย P/h1ย increased. As Uyumaz and Muslu reported in a previous study, the variation of the discharge coefficient with respect to the Froude number showed a second-degree curve for a subcritical regime [4].

Figure 15.ย Variation of discharge coefficient values against Froude number.
Figure 16.ย Variation of discharge coefficient values against the percentage of the side weir width to the upstream flow depth over the side weir.
Figure 17.ย Variation of discharge coefficient values against the percentage of the side weir height to the upstream flow depth over the side weir.

Quantitative analysis between discharge coefficient values and parametersย Fr1,ย b/h1,ย andย P/h1ย was conducted using data analysis software (IBM SPSS Statistics 19). The various coefficients obtained are shown inย Table 3.

ModelUnstandardized CoefficientsStandardized CoefficientstSig
BStd. ErrorBeta (ฮฒ)
Constantโˆ’1.2940.155โˆ’8.3690.000
Fr13.4300.2863.40112.0130.000
b/h1โˆ’0.0040.004โˆ’0.045โˆ’0.9440.348
P/h12.4010.1674.06414.3940.000
Table 3.ย Coefficient.

The value of t and Sig are the significance results of the independent variable, and the value of Sig corresponding to the value of t is less than 0.05, indicating that the independent variable has a significant impact on the dependent variable. Therefore, the values of Sig corresponding to the parametersย Fr1ย andย P/h1ย were less than 0.05, indicating that the parametersย Fr1ย andย P/h1ย have a significant impact on the discharge coefficient. On the contrary, the parameterย b/h1ย has less impact on the discharge coefficient. Therefore, quantitative analysis between discharge coefficient values and parametersย Fr1, andย P/h1ย was conducted using data analysis software by removing factorย b/h1. The model summary, ANOVA, and coefficient obtained are shown respectively inย Table 4,ย Table 5ย andย Table 6. R and adjusted R square inย Table 4ย were approaching 1, which indicated the goodness of fit of the regression model was high. The value of Sig corresponding to the value of F inย Table 5ย was less than 0.05, which indicated that the regression equation was useful. The values of Sig corresponding to the parametersย Fr1ย andย P/h1ย inย Table 6ย were less than 0.05, indicating that the parametersย Fr1ย andย P/h1ย have a significant impact on the discharge coefficient.

ModelRR SquareAdjusted R SquareStd. Error of the Estimate
10.913 a0.8330.8290.03232
Table 4.ย Model Summaryย b. Note:ย a. Predictors:(Constant),ย Fr1,ย P/h1;ย b. Discharge coefficient.
ModelSum of SquaresdfMean SquareFSig
1Regression0.40220.201192.5450.000 a
Residual0.080770.001
Total0.48379
Table 5.ย ANOVAย b. Note:ย a. Predictors:(Constant),ย Fr1,ย P/h1;ย b. Discharge coefficient.
ModelUnstandardized CoefficientsStandardized CoefficientstSig
BStd. ErrorBeta (ฮฒ)
Constantโˆ’1.3260.151โˆ’8.7960.000
Fr13.4790.2813.44912.3960.000
P/h12.4270.1644.10814.7650.000
Table 6.ย Coefficientย a. Note:ย a. Predictors:(Constant),ย Fr1,ย P/h1.

Based on the above analysis, the flow coefficient formula has been obtained, shown as follows:

Discharge formula were obtained by substituting Equation (15) into Equation (12), as shown in Equation (16).

where Q โˆˆ [0.006, 0.030], m3/s; b โˆˆ [0.20, 0.47], m; P โˆˆ [0.07, 0.20], m.

Figure 18ย showed the measured discharge coefficient values with those calculated from discharge formulas inย Table 3. The scatter of the data with respect to perfect line was limited to ยฑ10%.

Figure 18.ย Comparison of the measured discharge coefficient values with those calculated from discharge formulas inย Table 3.

6. Discussions

Determining water surface profile near the side weir in the main channel is one of the tasks of hydraulic calculation for side weirs. As the water flows through the side weir, discharge in the main channel is gradually decreasing, namelyย dQ/ds<0. According to the Equation (17) derived from Qimo Chen [3], it can be inferred that the value ofย ๐‘‘โ„Ž/๐‘‘๐‘ ย is greater than zero in subcritical flow (Frย < 1), that is, the water surface profile near the side weir in the main channel is a backwater curve. Due to the side weir entrance effect at the upstream end, water surface profiles drop slightly at the upstream end of the side weir crest, as EI-Khashab [28] and Emiroglu et al. [29] reported in previous experimental studies.

In this study, the water surface profile exhibited a backwater curve along the length of the weir crest. Therefore, during side weir application, it is crucial to ensure that downstream water levels do not exceed the highest water level of the channel.

The head on the weir is one of the important factors that flow over side weirs depends on. At the same time, the head depends on the water surface profile near the side weir in the main channel. Therefore, further research on the quantitative analysis of water surface profile needs to be conducted. Mohamed Khorchani proposed a new approach based on the video monitoring concept to measure the free surface of flow over side weirs. It points out a new direction for future research [8].

The maximum flow velocity, a key parameter in assessing the efficiency of a weir, occurs at the upstream end of the weir crest, typically near the crest. This is attributed to the convergence of the flow as it approaches the crest, resulting in a significant increase in velocity. It was found that in this study the minimum flow velocity occurred at the bottom of the main channel away from the side weir. Under such conditions, the accumulation of sediments could lead to siltation, which in turn can affect the accuracy of flow measurement through side weirs. This is because the presence of sediments can alter the flow patterns and cause errors in the measurement. Therefore, it becomes crucial to explore methods to optimize the selection of side weirs in order to minimize or eliminate the effects of sedimentation on flow measurement.

Pressure distribution plays a crucial role in ensuring structural safety for side weirs since small channels and field inlets have relatively limited pressure-bearing capacities. Therefore, it is important to select an appropriate geometrical parameter of rectangular side weirs based on their ability to withstand the pressure exerted on their bottom combined with pressure distribution data at the bottom of the side channel we have obtained in this study.

The discharge coefficient formula (Equation (15)), which incorporatesย Fr1ย andย P/h1, was derived based on dimensional analysis. However, it is worth noting that previous research has contradicted this formula by suggesting that the discharge coefficient solely depends on the Froude number. This conclusion can be observed in this study such as in Equations (18)โ€“(23) inย Table 7ย of the manuscript [30,31,32,33,34,35], which clearly demonstrate the dependency of the discharge coefficient on the Froude number. In contrast, our derived discharge coefficient formula (Equation (15)) offers a more streamlined and simplified approach compared to Equation (25) [36] and Equation (29) [10]โ€”making it easier to comprehend and applyโ€”an advantageous feature particularly valuable in fluid dynamics where intricate calculations can be time-consuming. Furthermore, our derived discharge coefficient formula (Equation (15)) exhibits a broader application scope than that of Equation (24) [37] as shown inย Table 8. Equation (26) [38] and Equation (27) [5] are specifically applicable under high flow discharge conditions. Conversely, our derived discharge coefficient formula (Equation (15)) is better suited for low-flow discharge conditions.

Table 7.ย Discharge coefficient formulas of rectangular side weirs presented in previous studies.
Discharge/(Lยทsโˆ’1)Width of Side Weir/cmHeight of Side Weir/cmNumber of Formula
10~1410~206~12(24)
35โ€“10020~751~19(26), (27)
6~3020~477~20(15)
Table 8.ย Application scope of discharge coefficient formulas.

In addition to the factors studied in the paper, factors such as the sediment content in the flow, the bottom slope, and the cross-section shape of the channel also have a certain impact on the hydraulic characteristics of the side weir. Further numerical simulation methods can be used to study the hydraulic characteristics and the influencing factors of the side weir. Water measurement facilities generally require high accuracy of water measurement, the flow of sharp-crested side weirs is complex, and the water surface fluctuates greatly. While conducting numerical simulations, experimental research on prototype channels is necessary to ensure the reliability of the results and provide reference for the body design and optimization of side weirs in small channels and field inlets.

7. Conclusions

This paper presents a comprehensive study that encompasses both experimental and numerical simulation research on rectangular side weirs of varying heights and widths within rectangular channels. A thorough analysis of the experimental and numerical simulation results has been conducted, leading to the derivation of several notable conclusions:

  1. A comparative analysis was conducted on the measured and simulated values of water depth and flow velocity. Both of the maximum absolute relative errors were within 10%, which indicated that the numerical simulation of the side weir was feasible and effective.
  2. The water surface profile exhibited a backwater curve along the length of the weir crest. The side weir entrance effect occurred only between Side โ…  and Side โ…ก. This indicates that flow patterns and associated hydraulic forces at the weir entrance play a crucial role in determining water level distribution along the weir crest.
  3. The maximum flow velocity of the cross-section at the upstream end of the weir crest occurred near the weir crest, while the minimum flow velocity occurred at the bottom of the main channel away from the side weir. As the water depth decreased, the position of the maximum flow velocity gradually moved from the upstream end of the side weir to the downstream end of the side weir.
  4. When the height of the side weir remains constant, an increase in the width of the side weir leads to a decrease in pressure at the bottom of the side channel. Conversely, when the width of the side weir is kept constant, an increase in its height results in an increase in pressure at the bottom of the side channel. Therefore, during practical applications involving side weirs, it is crucial to select an appropriate weir width based on the maximum pressure that can be sustained by the channelโ€™s bottom plate.
  5. The discharge coefficient was found to depend on the upstream Froude numberย Fr1ย and the percentage of the side weir height to the upstream flow depth over the side weir P/h1. The relationship between the discharge coefficient and parametersย Fr1ย and P/h1ย was obtained using multiple regression analysis, which was of linear form and provided an easy means to estimate the discharge coefficient. The discharge formula is of high accuracy with relative errors within 10%, which met the water measurement accuracy requirements of small channels in irrigation areas.

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Three-dimensional flow structure in a confluence-bifurcation unit

ํ•ฉ๋ฅ˜ ๋ถ„๊ธฐ ์œ ๋‹›์˜ 3์ฐจ์› ์œ ๋™ ๊ตฌ์กฐ

Di Wang, Xiaoyong Cheng, Zhixuan Cao, Jinyun Deng

Abstract


Enhanced understanding of flow structure in braided rivers is essential for river regulation, flood control, and infrastructure safety across the river. It has been revealed that the basic morphological element of braided rivers is confluence-bifurcation units. However, flow structure in these units has so far remained poorly understood with previous studies having focused mainly on single confluences/bifurcations. Here, the flow structure in a laboratory-scale confluence-bifurcation unit is numerically investigated based on theย FLOW3Dยฎ software platform. Two discharges are considered, with the central bars submerged or exposed respectively when the discharge is high or low. The results show that flow convergence and divergence in the confluence-bifurcation unit are relatively weak when the central bars are submerged. Based on comparisons with a single confluence/bifurcation, it is found that the effects of the upstream central bar on the flow structure in the confluence-bifurcation unit reign over those of the downstream central bar. Concurrently, the high-velocity zone in the confluence-bifurcation unit is less concentrated than that in a single confluence while being more concentrated than that observed in a single bifurcation. The present work unravels the flow structure in a confluence-bifurcation unit and provides a unique basis for further investigating morphodynamics in braided rivers.

1 Introduction


Confluences and bifurcations commonly exist in alluvial rivers and usually are important nodes of riverbed planform (Szupiany et al., 2012; Hackney et al., 2018). Flow convergence and divergence in these junctions result in highly three-dimensional (3D) flow characteristics, which greatly influence sediment transport, and hence riverbed evolution and channel formation (Le et al., 2019; Xie et al., 2020). Braided rivers, characterized by unstable networks of channels separated by central bars (Ashmore, 2013), have confluence-bifurcation units as their basic morphological elements (Ashmore, 1982; 1991; 2013; Federici & Paola, 2003; Jang & Shimizu, 2005). In particular, confluence-bifurcation units exhibit a distinct morphology from single confluences/bifurcations and bifurcation-confluence regions because two adjacent central bars are included. Within a confluence-bifurcation unit, two tributaries converge at the upstream bar tail and soon diverge to two anabranches again at the downstream bar head. Therefore, the flow structure in the unit may be significantly influenced by both the two central bars, and thus considerably different from that in single confluences, single bifurcations, and bifurcation-confluence regions, where the flow is affected by only one central bar. Enhanced understanding of flow structure in confluence-bifurcation units is urgently needed, which is essential for water resources management, river regulation, flood control, protection of river ecosystems and the safety of infrastructures across the rivers such as bridges, oil pipelines and communication cables (Redolfi et al., 2019; Ragno et al., 2021).

The flow dynamics, turbulent coherent structures, and turbulent characteristics in single confluences have been widely studied since the 1980s (Yuan et al., 2022). Flow dynamics at river channel confluences have been systematically and completely analyzed, which can be characterized by six major regions of flow stagnation, flow deflection, flow separation, maximum velocity, flow recovery and distinct shear layers (Best, 1987). For example, the field observation of Roy et al. (1988) and Roy and Bergeron (1990) highlighted the flow separation zones and recirculation at downstream natural confluence corners. Ashmore et al. (1992) measured the flow field in a natural confluence and found flow accelerates suddenly at the confluence junction with two separated high-velocity cores merging into one single core at the channel centre. De Serres et al. (1999) investigated the three-dimensional flow structure at a river confluence and identified the existence of the mixing layer, stagnation zones, separation zones and recovery zones. Sharifipour et al. (2015) numerically studied the flow structure in a 90ยฐ single confluence and found that the size of the separation zone decreases with the width ratio between the tributary and the main channel. Recently, three main classes of large-scale turbulent coherent structures (Duguay et al., 2022) have been presented, i.e. vertical-orientated vortices or Kelvin-Helmholtz instabilities (Rhoads & Sukhodolov, 2001; Constantinescu et al., 2011; 2016; Biron et al., 2019), channel-scale โ€˜back-to-backโ€™ helical cells, (Mosley, 1976; Ashmore, 1982; Ashmore et al., 1992; Ashworth, 1996; Best, 1987; Rhoads & Kenworthy, 1995; Bradbrook et al., 1998; Lane et al., 2000), and smaller, strongly coherent streamwise-orientated vortices (Constantinescu et al., 2011; Sukhodolov & Sukhodolova, 2019; Duguay et al., 2022). However, no consensus on a universal turbulent coherent structure mode has been reached so far (Duguay et al., 2022). In addition, some studies (Ashworth, 1996; Constantinescu et al., 2011; Sukhodolov et al., 2017; Le et al., 2019; Yuan et al., 2023) have focused on turbulent characteristics, e.g. turbulent kinetic energy, turbulent dissipation rate and Reynolds stress, which can be critical parameters to further explaining the diversity of these turbulent coherent structure modes.

Investigations on the flow structure in single bifurcations have mainly focused on hydrodynamics in anabranches (Hua et al., 2009; van der Mark & Mosselman, 2013; Iwantoro et al., 2022) and around bifurcation bars (McLelland et al., 1999; Bertoldi & Tubino, 2005; 2007; Marra et al., 2014), whereas few studies have considered the effects of bifurcations on the upstream flow structure. Thomas et al. (2011) found that the velocity core upstream of the bifurcation is located near the water surface and towards the channel center in experimental investigations of a Y-shaped bifurcation. Miori et al. (2012) simulated flow in a Y-shaped bifurcation and found two circulation cells upstream of the bifurcation with flow converging at the water surface and diverging near the bed. Szupiany et al. (2012) reported velocity decreasing and back-to-back circulation cells upstream of the bifurcation junction in the field observation of a bifurcation of the Rio Parana River. These investigations provide insight into how bifurcations affect the flow patterns upstream, yet there is a need for further research on the dynamics of flow occurring immediately before the bifurcation junction.

Generally, the findings of studies on bifurcation-confluence regions are similar to those concerning single confluences and bifurcations. Hackney et al. (2018) measured the hydrodynamic characteristics in a bifurcation-confluence of the Mekong River and found the velocity cores located at the channel centre and strong secondary current occurring under low discharges. Le et al. (2019) reported a high-turbulent-kinetic-energy (high-TKE) zone located near the bed in their numerical simulation of flow in a natural bifurcation-confluence region. Moreover, a stagnation zone was found upstream of the confluence and back-to-back secondary current cells were detected at the confluence according to Xie et al. (2020) and Xu et al. (2022). Overall, these studies have further unraveled the flow patterns in river confluences and bifurcations.

Unfortunately, limited attention has been paid to the flow structure in confluence-bifurcation units. Parsons et al. (2007) investigated a large confluence-bifurcation unit in Rio Parana, Argentina, and no classical back-to-back secondary current cells were observed under a discharge of 12000 m3ยทsโˆ’1. To date, the differences in flow structure between confluence-bifurcation units and single confluences/bifurcations have remained far from clear. In addition, although the effects of discharge on flow structure have been investigated in several studies on single confluences/bifurcations, (Hua et al., 2009; Le et al., 2019; Luz et al., 2020; Xie et al., 2020; Xu et al., 2022), cases with fully submerged central bars were not considered, which is typical in braided rivers during floods. In-depth studies concerning these issues are urgently needed to gain better insight into the flow structure in confluence-bifurcation units of braided rivers.

This paper aims to (1) reveal the 3D flow structure in a confluence-bifurcation unit under different discharges and (2) elucidate the differences in the flow structure between confluence-bifurcation units and single confluence/bifurcation cases. Using the commercial computational fluid dynamics software FLOW-3Dยฎ (Version 11.2; https://www.flow3d.com; Flow Science, Inc.), fixed-bed simulations of a laboratory-scale confluence-bifurcation unit are conducted, and cases of a single confluence/bifurcation are also included for comparison. Two discharges are considered, with the central bars fully submerged or exposed respectively when the discharge is high or low. Based on the computational results, the 3D flow structure in the confluence-bifurcation unit conditions is analyzed from various aspects including free surface elevation, time-averaged flow velocity distribution, recirculation vortex structure, secondary current, and turbulent kinetic energy and dissipation rate. In particular, the flow structure in the confluence-bifurcation unit is compared with that in the single confluence/bifurcation cases to unravel the differences.h

2. Conceptual flume and computational cases


2.1. Conceptual flume

In this paper, a laboratory-scale conceptual flume is designed and used in numerical simulations. Figure 1(aโ€“d) shows the morphological characteristics of the flume. To ensure that the conceptual flume reflects morphology features of natural braided channels, key parameters governing the flume morphology, e.g. unit length, width, and channel width-depth ratio, are determined according to studies on morphological characteristics of natural confluence-bifurcation units (Hundey & Ashmore, 2009; Ashworth, 1996; Orfeo et al., 2006; Parsons et al., 2007; Sambrook Smith et al., 2005; Kelly, 2006; Ashmore, 2013; Egozi & Ashmore, 2009; Redolfi et al., 2016; Ettema & Armstrong, 2019).

Figure 1. The sketch of the conceptual flume: (a) the original flume, (b) the central bar: (c) the sketch of cross-section C-C, (d) the sketch of cross-section D-D, (e) the modified part for the single confluence, (f) the modified part for the single bifurcation, (g) the position of different cross-sections. The red dashed boxes denote the regions of primary concern.

Figure 1.ย The sketch of the conceptual flume: (a) the original flume, (b) the central bar: (c) the sketch of cross-section C-C, (d) the sketch of cross-section D-D, (e) the modified part for the single confluence, (f) the modified part for the single bifurcation, (g) the position of different cross-sections. The red dashed boxes denote the regions of primary concern.

2.1.1. Length and width scales of the confluence-bifurcation unit

The length and width scales of the flume are first determined. The inner relation among the length LCB and average width B of a confluence-bifurcation unit and the average width Bi of a single branch was statistically studied by Hundey and Ashmore (2009), which indicates the following relations:
๐ฟCB =(4โˆผ5)โข๐ต (1)
๐ต =1.41โข๐ต๐‘– (2)
In addition, Ashworth (1996) gave Bโ€‰=โ€‰2Bi in his experimental research on mid-bar formation downstream of a confluence, while the confluence-bifurcation unit of Rio Parana, Argentina has a relation of Bโ‰ˆ1.71Bi (Orfeo et al., 2006; Parsons et al., 2007). Accordingly, the following relations are used in the present paper:
๐ฟCB =4โข๐ต (3)
๐ต =1.88โข๐ต๐‘– (4)
where LCBโ€‰=โ€‰6 m, Bโ€‰=โ€‰1.5 m and Biโ€‰=โ€‰0.8 m.

2.1.2. Central bar morphology

The idealized plane pattern of central bars in braided rivers is a slightly fusiform leaf shape with a short upstream side and a long downstream side (Ashworth, 1996; Sambrook Smith et al., 2005; Kelly, 2006; Ashmore, 2013). To simplify the design, the bar is approximated as a combination of two different semi-ellipses (Figure 1(b)). The major axis Lb is two to ten times longer than the minor axis Bb according to the statistical data in Kellyโ€™s study, and the regression equation is given as (Kelly, 2006):
๐ฟ๐‘=4.62โข๐ต0.96๐‘ (5)
In this study, the bar width Bb is set as 0.8 m, whilst the lengths of downstream (LT1) and upstream sides (LT2) are 2 and 1.5 m, respectively (Figure 1(b)). Thus, the relation of Lb and Bb is given as:
๐ฟ๐‘=(๐ฟ๐‘‡โข1+๐ฟ๐‘‡โข2)=4.375โข๐ต๐‘ (6)
The lengths of the inlet and outlet parts are determined as Linโ€‰=โ€‰Loutโ€‰=โ€‰8 m, which ensures negligible effects of boundary conditions without exceptional computational cost.

2.1.3. Width-depth ratio

Channel flow capacity can be significantly affected by cross-section shapes. For natural rivers, cross-section shapes can be generalized into three sorts based on the following width-depth curve (Redolfi et al., 2016):
๐ต=๐œ“โข๐ป๐œ‘(7)
Braided rivers usually have ฯˆโ€‰=โ€‰5โˆผ50 and ฯ†>1, which indicates a rather wide and shallow cross-section. The central bar form should also be taken into account, so a parabolic cross-section shape is used here with ฯˆโ€‰=โ€‰8 and ฯ†>1 (Figure 1(c,d)).

2.1.4. Bed slope

In addition, natural braided rivers are usually located in mountainous areas and thus have a relatively large bed slope. According to flume experiments and field observations, the bed slope Sb is mostly in the range of 0.01โˆผ0.02, and a few are below 0.01 (Ashworth, 1996; Egozi & Ashmore, 2009; Ashmore, 2013; Redolfi et al., 2016; Ettema & Armstrong, 2019). In this study, Sb takes 0.005.

2.1.5. Complete sketch of the conceptual flume

In summary, the flume is 29 m long, 2.4 m wide, and 0.6 m high. The plane coordinates (x-direction andย y-direction) used in the calculation process are shown in Figureย 1
(a). Note that the inlet corresponds toย xโ€‰=โ€‰0 m, and the centreline of the flume is located atย yโ€‰=โ€‰1.3 m. Besides, the thalweg elevation of the outlet is set asย zโ€‰=โ€‰0 m.

2.2. Computational cases

As stated before, the first aim of this paper is to reveal the flow structure in the confluence-bifurcation unit under different discharges. Therefore, two basic cases are set first: (1) case 1a under a low discharge (0.05 m3ยทsโˆ’1) with exposed central bars and (2) case 2a under a high discharge (0.30 m3ยทsโˆ’1) with fully submerged central bars. A total of 22 cross-sections are identified to examine the results (Figure 1(g)).

Further, cases of a single confluence/bifurcation are generated by splitting the original confluence-bifurcation unit into two parts. Part 1 only includes the upstream central bar and focuses on the flow convergence downstream of CS04 (Figure 1(e)), while Part 2 only includes the downstream central bar and focuses on the flow divergence upstream of CS19 (Figure 1(f)). Notably, the numbers of corresponding cross-sections in the original flume are reserved to facilitate comparison. The outlet section of the single confluence as well as the inlet section of the single bifurcation is extended to make the total length equivalent to the original flume (29 m). Also, two discharge conditions (0.05 and 0.30 m3ยทsโˆ’1), which correspond to exposed and fully submerged central bars, are considered for the single confluence/bifurcation. In total, six computational cases are conducted, as listed in Table 1. As the conceptual flume is designed to be symmetrical about the centreline, the momentum flux ratio (Mr) of the two branches should be 1 in all six cases. This is confirmed by further examining the computational results.

CaseConfigurationQin (m3ยทsโˆ’1)Zout (m)MrCondition of bars
1aCBU0.050.151Exposed
1bSC0.050.151Exposed
1cSB0.050.151Exposed
2aCBU0.300.341Submerged
2bSC0.300.341Submerged
2cSB0.300.341Submerged
Table 1.ย Computational cases with inlet and outlet boundary conditions.

3. Numerical method

In this section, the 3D Large Eddy Simulation (LES) model integrated in the FLOW-3Dยฎ (Version 11.2; https://www.flow3d.com; Flow Science, Inc.) software platform is introduced, including governing equations and boundary conditions. Information on computational meshes with mesh independence test can be found in the Supplementary material.

3.1. Governing equations

The LES model was applied in the present paper to simulate flow in the laboratory-scale confluence-bifurcation unit. The LES model has been proven to be effective in simulating turbulent flow in river confluences and bifurcations (Constantinescu et al., 2011; Le et al., 2019). The basic idea of the LES model is that one should directly compute all turbulent flow structures that can be resolved by the computational meshes and only approximate those features that are too small to be resolved (Smagorinsky, 1963). Therefore, a filtering operation is applied to the original Navier-Stokes (NS) equations for incompressible fluids to distinguish the large-scale eddies and small-scale eddies (Liu et al., 2018). The filtered NS equations are then generated, which can be expressed in the form of a Cartesian tensor as (Liu, 2012):

(10)ย whereย ยฏ๐‘ข๐‘–ย is the resolved velocity component in theย iย โ€“ direction (iย goes from 1 to 3, denoting theย x-,ย yย โ€“ andย z-directions, respectively);ย tย is the flow time;ย ฯย is the density of the fluid;ย ยฏ๐‘ย is the pressure;ย ฮฝย is the kinematic viscosity;ย ฯ„ijย is the sub-grid scale (SGS) stress;ย ยฏ๐บ๐‘–ย is the body acceleration. Inย FLOW3Dยฎ, the full NS equations are discretized and solved using the finite-volume/finite-difference method (Bombardelli etย al.,ย 2011; Lu etย al.,ย 2023).

Due to the filtering process, the velocity can be divided into a resolved part (ยฏ๐‘ขโก(๐‘ฅ,๐‘ก)) and an approximate part (๐‘ขโ€ฒโก(๐‘ฅ,๐‘ก)) which is also known as the SGS part (Liu,ย 2012). To achieve model closure, the standard Smagorinsky SGS stress model is introduced here (Smagorinsky,ย 1963):
๐œijโˆ’13โข๐œkkโข๐›ฟij=โˆ’2โข๐œˆSGSโขยฏ๐‘†ij(11)
ย whereย ฮฝSGSย is the SGS turbulent viscosity, andย ยฏ๐‘†ijย is the resolved rate-of-strain tensor for the resolved scale defined by (Smagorinsky,ย 1963):
ยฏ๐‘†ij=12โข(โˆ‚ยฏ๐‘ข๐‘–โˆ‚๐‘ฅ๐‘—+โˆ‚ยฏ๐‘ข๐‘—โˆ‚๐‘ฅ๐‘–)(12)ย 
In the standard Smagorinsky SGS stress model, the eddy viscosity is modelled by (Smagorinsky,ย 1963):
๐œˆSGS=(๐ถ๐‘ โขยฏ๐›ฅ)2โขโˆฃยฏ๐‘†โˆฃ,โˆฃยฏ๐‘†โˆฃ=โˆš2โขยฏ๐‘†ijโขยฏ๐‘†ij(13)
ยฏ๐›ฅ=(ฮ”xฮ”yฮ”zโข)1/3(14)ย 
whereย Csย is the Smagorinsky constant,ย ฮ”x,ย ฮ”y, andย ฮ”zย are mesh scales. Inย FLOW3Dยฎ,ย Csย is between 0.1 to 0.2 (Smagorinsky,ย 1963).
One of the key problems in simulating 3D open channel flow is the calculation of free surface.ย FLOW3Dยฎย uses the Volume of Fluid (VOF) method (Hirt & Nichols,ย 1981) to track the change of free surface. The VOF method introduces a fluid phase fraction functionย fย to characterize the proportion of a certain fluid in each mesh cell. In that case, the surface position can be precisely located if the mesh cell is fine enough. To monitor the change ofย fย with time and space, the following convection equation is added:

For open channel flow, only two kinds of fluids are involved: water and air. Ifย fย is the fraction of water, the state of the fluid in each mesh cell can be defined as:

Inย FLOW3Dยฎ, the interface between water and air is assumed to be shear-free, which means that the drag force on the water from the air is negligible. Moreover, in most cases, the details of the gas motion are not crucial for the heavier water motion so the computational processes will be more efficient.

3.2. Boundary conditions

Six boundary conditions need to be preset in the 3D numerical simulation process. Discharge boundary conditions are used for the inlet of the flume, where the free surface elevation is automatically calculated based on the free surface elevation boundary conditions set for the outlet. The specific information on the inlet and outlet boundary conditions for all computational cases is shown in Table 1. Moreover, because the free surface moves temporally, the free surface boundary conditions are just set as no shear stress and having a normal pressure, and the position of the free surface will be automatically adjusted over time by the VOF method in FLOW3Dยฎ. Furthermore, the bed and two side walls are all set to be no-slip for fixed bed conditions, and a standard wall function is employed at the wall boundaries for wall treatment.

The inlet turbulent boundary conditions also need to be considered. They are set by default here. The turbulent velocity fluctuations Vโ€™ are assumed to be 10% of the mean flow velocity with the turbulent kinetic energy (TKE) (per unit mass) equaling 0.5Vโ€™2. The maximum turbulent mixing length is assumed to be 7% of the minimum computational domain scale, and the turbulent dissipation rate is evaluated automatically from the TKE.

4. Results and discussion


4.1. Flow structure in the confluence-bifurcation unit

4.1.1. Free surface elevation

Figure 2 shows the free surface elevation at five different longitudinal profiles (i.e. ฮฑโ€‰=โ€‰0.2, 0.4, 0.5, 0.6, 0.8) for cases 1a and 2a. The parameter ฮฑ was defined as follows:๐›ผ=๐‘ ๐ต(17) where s is the transverse distance between a certain profile and the left boundary of the flume. In general, the longitudinal change of free surface in the two cases is very similar despite different discharge levels. The free surface elevation decreases as the channel narrows from the upstream bifurcation to the front of the confluence-bifurcation unit. On the contrary, when the flow diverges again at the end of the confluence-bifurcation unit, the free surface elevation increases with channel widening. However, whether the fall or rise of free surface elevation in case 1a is much sharper than that in case 2a, especially at profiles with ฮฑโ€‰=โ€‰0.2 and 0.8 (Figure 2(a)), which indicates there may be distinct flow states between the two cases. To further illustrate this finding, the Froude number Fr at different cross-sections (CS08โˆผCS15) is examined. In case 2a, the flow remains subcritical within the confluence-bifurcation unit. By contrast, in case 1a, a local supercritical flow is observed near the side banks of CS09 (i.e. ฮฑโ€‰=โ€‰0.2 and 0.8), with Fr being about 1.2. This local supercritical flow can lead to a hydraulic drop followed by a hydraulic jump, which accounts for the sharp change of the free surface. The foregoing reveals that when central bars are exposed under relatively low discharge, supercritical flow is more likely to occur near the side banks of the confluence junction due to flow convergence.

Figure 2.ย Five time-averaged free surface elevation profiles in the confluence-bifurcation unit, in whichย ฮฑย denotes the lateral position of the certain profile. Note that the black dashed line denotes the position of CS09, whereย Frย is about 1.2 near the side banks (ฮฑโ€‰=โ€‰0.2 and 0.8) in case 1a.ย Zโ€™โ€‰=โ€‰z/h2,ย Xโ€™โ€‰=โ€‰x/B,ย h2ย is the maximum flow depth at the outlet boundary of cases 2a, 2b and 2c,ย h2โ€‰=โ€‰0.34 m.

Moreover, in both cases 1a and 2a, the free surface is higher at the channel centre than near the side banks, whether at the front or the end of the confluence-bifurcation unit. Thus, lateral free surface slopes from the centre to the side banks are generated. For example, the lateral free surface slopes at CS09 are 0.022 and 0.016 respectively for cases 1a and 2a. These lateral slopes can lead to lateral pressure gradient force whose direction is from the channel centreline to the side banks. Notably, the lateral surface slope in case 1a is steeper than that in case 2a, which may also result from the effect of the supercritical flow.

4.1.2. Time-averaged streamwise flow velocity

Figure 3.ย Time-averaged flow velocity distribution at three different slices overย z-direction in the confluence-bifurcation unit: (a)โˆผ(c) case 1a, (d)โˆผ(f) case 2a. The flow direction is from the left to the right. StZโ€‰=โ€‰Stagnation Zones, MiLโ€‰=โ€‰Mixing Layer.ย Xโ€™โ€‰=โ€‰x/B,ย Yโ€™โ€‰=โ€‰y/B,ย Uiโ€™โ€‰=โ€‰Ui/Uti,ย Uiย denotes the time-averaged streamwise flow velocity in case seriesย iย (iโ€‰=โ€‰1,2),ย Utiย denotes the cross-section-averaged streamwise flow velocity in case seriesย i,ย Ut1โ€‰=โ€‰0.385 m/s, for case 2aย Ut2โ€‰=โ€‰0.714 m/s.
Figure 4.ย Time-averaged flow velocity contours at eight different cross-sections in the confluence-bifurcation unit: (a) case 1a, (b) case 2a.

Besides the shared features described above, some differences between the two cases are also identified. First, flow stagnation zones at the upstream bar tail are found exclusively in case 1a as the central bars are exposed (Figureย 3
(aโ€“c)). Second, in case 1a the mixing layer is obvious in both the lower or upper flows (Figureย 3
(aโ€“c)), while in case 2a the mixing layer can be inconspicuous in the upper flow (Figureย 3
(f)). Third, in case 1a, two high-velocity cores gradually transform into one single core downstream of the confluence [Figureย 4
(a), CS08โˆผCS11] and are divided into two cores again at the downstream bar head [Figureย 4
(a), CS15]. By contrast, in case 2a, the two cores merge much more rapidly [Figureย 4
(a), CS08โˆผCS09], and no obvious reseparation of the merged core is found at the downstream bar head (Figureย 3
(dโ€“f)). The latter two differences between cases 1a and 2a indicate that the flow convergence and divergence are relatively weak when the central bars are fully submerged. It is noticed that when the central bars are exposed, the flow in branches needs to steer around the central bar, which can cause a large angle between the two flow directions at the confluence, and thus relatively strong flow convergence and divergence may occur. By contrast, when the central bars are fully submerged, the flow behavior resembles that of a straight channel, with flow predominantly moving straight along the main axis of the central bars. Therefore, a small angle between two tributary flow forms, and thus flow convergence and divergence are relatively mild.

4.1.3. Recirculation vortex

A recirculation vortex with a vertical axis is a typical structure usually found where flow steers sharply, and is generated from flow separation (Lu et al., 2023). This vortex structure is found in the confluence-bifurcation unit in the present study, marking several significant flow separation zones. Figure 5 shows the recirculation vortex structure at the bifurcation junction of the confluence-bifurcation unit. In both cases 1a and 2a, two recirculation vortices BV1 and BV2 are found at the bifurcation junction corner. Moreover, BV1 and BV2 seem well-established near the bed but tend to transform into premature ones in the upper flow, and there is also a tendency for the cores of BV1 and BV2 to shift downstream as they transition from the lower to the upper flow (Figure 5(aโ€“c,dโ€“f)). This finding indicates that flow separation zones exist at the bifurcation junction corner, and the vortex structure is similar in the separation zones under low and high discharges. These flow separation zones are generated due to the inertia effect as flow suddenly diverges and steers towards the curved side banks of the channel (Xie et al., 2020). Notably, two additional vortices BV3 and BV4 are found at both sides of the downstream bar in case 1a (Figure 5(aโ€“c)), but no such vortices exist in case 2a. This difference shows that flow separation zones at both sides of the downstream bar are hard to form when the bars are completely submerged under the high discharge.

Figure 5.ย Recirculation vortices at the bifurcation junction (streamline view at three different slices over z-direction): (a)โˆผ(c) case 1a, (d)โˆผ(f) case 2a. The red solid line marked out the position of these vortices (BV1โˆผBV4).

Similarly, Figure 6 shows the recirculation vortex structure at the confluence junction of the confluence-bifurcation unit. No noteworthy similarities but a key difference between the two cases are observed at this site. Two vortices CV1 and CV2 are found downstream of the confluence junction corner in case 1a (Figure 6(c)), which mark two separation zones. Conversely, no such separation zones are found in case 2a. In fact, separation zones were reported at similar sites under relatively low discharges in some previous studies (Ashmore et al., 1992, Luz et al., 2020, Sukhodolov & Sukhodolova, 2019; Xie et al., 2020). Nevertheless, the flow separation zones at the confluence corner are very restricted in the present study (Figure 6(c)). Ashmore et al. (1992) also reported that no, or very restricted flow separation zones occur downstream of natural river confluence corners, primarily because of the relatively slow change in bank orientation compared with the sharp corners of laboratory confluences where separation is pronounced (Best & Reid, 1984; Best, 1988). In the present study, the bank orientation also changes slowly, which may explain why flow separation zones are inconspicuous at the confluence corner.

Figure 6.ย Recirculation vortices at the confluence junction (streamline view at three different slices over z-direction): (a)โˆผ(c) case 1a, (d)โˆผ(f) case 2a. The red solid line marked out the position of these vortices (CV1 & CV2).

The differences in the distribution of recirculation vortices discussed above may be mainly attributed to the difference in the angle between the tributary flows under different discharges. Some previous studies have reported that the confluence/bifurcation angle can significantly influence the flow structure at confluences/bifurcations (Best & Roy, 1991; Ashmore et al., 1992; Miori et al., 2012). Although the confluence/bifurcation angle is fixed due to the determined central bar shape in the present study, the angle between two tributary flows is affected by the varying discharge. When the central bars are exposed under the low discharge, the flow is characterized by a more pronounced curvature of the streamlines, and a large angle between the two tributary flows is noted (Figure 6(b)), causing strong flow convergence and divergence. By contrast, a small angle forms as the central bars are submerged, thereby leading to relatively weak flow convergence/divergence (Figure 6(e)). Overall, the differences mentioned above can be attributed to the differences in the intensity of flow convergence and divergence under different discharges.

It should be noted that some previous studies (Constantinescu et al., 2011; Sukhodolov & Sukhodolova, 2019) presented that there is a wake mode in the mixing layer of two streams at the confluence junction. The wake mode means that in the mixing layer, multiple streamwise coherent vortices moving downstream will form, which is similar to the flow structure around a bluffing body (Constantinescu et al., 2011). However, no such structure has been found within the confluence-bifurcation unit in this study. According to the numerical simulations of Constantinescu et al. (2011), a wake mode was found at a river confluence with a concordant bed and a momentum flux ratio of about 1. The confluence has a much larger angle (โˆผ60ยฐ) between the two streams when compared to the confluence junction of the confluence-bifurcation unit in the present study where the angle is about 25ยฐ. As flow mechanics at river confluences may include several dominant mechanisms depending on confluence morphology, momentum ratio, the angle between the tributaries and the main channel, and other factors (Constantinescu et al., 2011), the relatively small confluence angle in the present study may explain why the wake mode is absent. The possible effects of the confluence/bifurcation angle are reserved for future study. Additionally, flow separation can lead to reduced local sediment transport capacity, thus causing considerable sediment deposition under natural conditions. Hence, the bank may migrate towards the inner side of the channel at the positions of CV1, CV2, BV1, and BV2, while the bar may expand laterally at the positions of BV3 and BV4.

4.1.4. Secondary current

Secondary current is the flow perpendicular to the mainstream axis (Thorne et al., 1985) and can be categorized into two primary types based on its origin: (1) Secondary current generated by the interaction between centrifugal force and pressure gradient force; (2) Secondary current resulting from turbulence heterogeneity and anisotropy (Lane et al., 2000). There are some widely recognized definitions of secondary current strength (SCS) (Lane et al., 2000). In this paper, the secondary current cells are identified by visible vortex with a streamwise axis, and the definition of SCS proposed by Shukry (1950) is used:

whereย ux,ย uy, andย uzย are flow velocities inย x,ย y, andย zย directions andย uxย represents the mainstream flow velocity.

Figure 7 presents contour plots of SCS and the secondary current structure at key cross-sections of the study area. When the central bars are exposed, at the upstream bar tail (CS08), intense transverse flow occurs with flow converging to the centreline, but no secondary current cell is formed (Figure 7(a)). This is consistent with the findings of Hackney et al. (2018). At the confluence junction (CS09), transverse flow still plays a major role in the secondary current structure, with flow converging to the centreline at the surface and diverging to side banks near the bed (Figure 7(b)). Moreover, โ€˜back-to-backโ€™ helical cells, which are two vortices rotating reversely, tend to generate at CS09 with their cores located near the side banks (Figure 7(b)) (Mosley, 1976; Ashmore, 1982; Ashmore et al., 1992), yet their forms are rather premature. As the flow goes downstream, the cores of the helical cells gradually rise to the upper flow and approach towards the centreline, and the helical cells become well-established (Figure 7(cโ€“e)). When the flow diverges again at the downstream bar head (CS15), the helical cells attenuate rapidly, and the secondary current structure is once again characterized predominantly by transverse flow (Figure 7(f)).

Figure 7.ย Distribution of secondary current strength and secondary current cells at six different cross-sections: (a)โˆผ(f) case 1a, (g)โˆผ(l) case 2a. The secondary current cells are identified by visible lateral vortices (streamline view). The zero distance of each cross-section is located on the right bank.

When the central bars are fully submerged under the high discharge, the secondary current structure at the upstream bar tail and the confluence junction exhibits a resemblance to that under the low discharge (Figureย 7(g,h)). However, at CS09, two pairs of cells with different scales tend to form under the high discharge (Figureย 7(h)). The large and premature helical cells are similar to those under the low discharge, whereas the small helical cells are located near side banks possibly due to wall effects. As the flow moves downstream, the large helical cells tend to diminish rapidly and merge with the small ones near both side walls (Figureย 7(iโ€“k)). Moreover, the secondary current structure is once again characterized predominantly by transverse flow at CS14 under the high discharge, which occurs earlier than that under the low discharge (Figureย 7(k)). At the downstream bar head, transverse flow still takes a dominant place, while the helical cells seem to become premature with increased scale (Figureย 7(l)).

In general, in both cases 1a and 2a, the lateral distribution of SCS at all cross-sections is symmetrical about the channel centreline, where SCS is relatively small. A relatively high SCS is detected at both the upstream bar tail and the downstream bar head due to the effects of centrifugal force caused by flow steering. SCS decreases rapidly from the upstream bar tail (CS08) to the entrance of the downstream bifurcation junction (CS14), followed by a sudden increase at the downstream bar head (CS15) (Figureย 7
(aโ€“e, gโ€“k)). However, the distribution of high-SCS zones is different between the two discharges. Under the low discharge, high-SCS zones appear along the bottom near the centerline and at the free surface on both sides of the centreline. Although similar high-SCS zones are found along the bottom near the centerline under the high discharge, the high-SCS zones are not found at the free surface. Furthermore, it is noticed that more obvious high-SCS zones appear under the low discharge compared with the high discharge, especially at CS09. This may be attributed to the differences in the intensity of flow convergence and divergence under different submerging conditions of the central bars. When the central bars are exposed, flow convergence and divergence are strong and sharp flow steering occurs, thereby causing large SCS. By contrast, when the central bars are fully submerged, flow convergence and divergence are relatively weak, and thus small SCS is observed.

4.1.5. Turbulent characteristics

Turbulent characteristics reflect the performance of energy and momentum transfer activities in flow (Sukhodolov et al., 2017). Comprehensive analysis of turbulent characteristics is crucial as they greatly impact the incipient motion, settling behavior, diffusion pattern, and transport process of sediment. Here, the TKE and turbulent dissipation rate (TDR) of flow in the confluence-bifurcation unit are analyzed.

Figure 8 shows the distribution of TKE on various cross-sections in cases 1a and 2a. In the same way, Figure 10 shows the distribution of TDR. The values of TKE and TDR are nondimensionalized with mid-values of TKEโ€‰=โ€‰0.005 m2ยทsโˆ’2 and TDRโ€‰=โ€‰0.007 m3ยทsโˆ’2. In both cases 1a and 2a, the distributions of TKE and TDR show symmetrical patterns concerning the channel centreline. High-TKE and high-TDR zones exhibit a belt distribution near the channel bottom (McLelland et al., 1999; Ashworth, 1996; Constantinescu et al., 2011), indicating that turbulence primarily originates at the channel bottom due to the influence of bed shear stress. A sudden increase of TKE (Weber et al., 2001) and TDR occurs near the channel bottom at the confluence junction [Figure 8 and 9, CS08โˆผCS09] and from the entrance of the bifurcation junction (CS14) to the downstream bar head (CS15) (Figures 8 and 9).

Figure 8.ย Turbulent kinetic energy contours at eight different cross-sections in the confluence-bifurcation unit: (a) case 1a, (b) case 2a. TKEโ€‰=โ€‰turbulent kinetic energy. TKEโ€™โ€‰=โ€‰ dimensionless value of TKE, with regard to a mid-value of TKEโ€‰=โ€‰0.005 m2ยทsโˆ’2.
Figure 9.ย Turbulent dissipation rate contours at eight different cross-sections in the confluence-bifurcation unit: (a) case 1a, (b) case 2a. TDRโ€‰=โ€‰turbulent dissipation rate. TDRโ€™โ€‰=โ€‰ dimensionless value of TDR, with regard to a mid-value of TDRโ€‰=โ€‰0.007 m3ยทsโˆ’2.
Figure 10.ย Comparison of the distribution of time-averaged streamwise flow velocity along the flow depth at different cross-sections between the confluence-bifurcation unit and the single confluence. (a)โˆผ(f) 1a vs. 1b, (g)โˆผ(l) 2a vs. 2b.

Despite the common turbulent characteristics between cases 1a and 2a, additional high-TKE zones are found in the upper flow at the upstream bar tail (CS08), the confluence junction (CS09) and the downstream bar head (CS15) (Figure 8) when the central bars are fully submerged. The formation mechanism of these high-TKE zones near the water surface is more complicated, which may result from interactions of velocity gradient, secondary current structure and wall shear stress (Engel & Rhoads, 2017; Lu et al., 2023).

4.2. Comparison with single confluence/bifurcation cases

In this section, the results of a single confluence (cases 1b and 2b) and a single bifurcation (cases 1c and 2c) are compared with those of the confluence-bifurcation unit (cases 1a and 2a) under two discharges. Flow structure at CS08โˆผCS15 is mainly concerned below.

4.2.1. Comparison with single confluence cases

First, the patterns of time-averaged streamwise velocity, TKE and TDR within the single confluence (presented by contour plots in the supplementary materials) are assessed and then compared with those within the confluence-bifurcation unit (Figures 4, 8, and 9). It is found that distributions of these parameters are similar in the confluence-bifurcation unit and the single confluence from the upstream bar tail (CS08) to the entrance of the bifurcation junction (CS14), despite varying discharges. As the existence of the downstream central bar is the main difference between the single confluence and the confluence-bifurcation unit, this finding indicates that the downstream bar may have limited influence on the flow structure in the confluence-bifurcation unit. In other words, the flow structure in the confluence-bifurcation unit appears to be mainly shaped by the presence of the upstream bar, with its impact potentially reaching as far as the entrance of the bifurcation (CS14). Moreover, under the low discharge, the two high-velocity cores seem to merge later (at CS11) in the single confluence than in the confluence-bifurcation unit (at CS10), which indicates the convergence of two tributary flows may achieve a steady state faster in the confluence-bifurcation unit. To further elucidate the differences, results on the distribution of time-averaged streamwise velocity and TKE along the flow depth are discussed below.

4.2.1.1. Time-averaged streamwise velocity

Figure 10 shows the distribution of time-averaged streamwise flow velocity along the flow depth at different cross-sections. Note that ฮฑโ€‰=โ€‰0.5 denotes the channel centreline and ฮฑโ€‰=โ€‰0.7 denotes a position near the side banks. As only marginal differences are found at ฮฑโ€‰=โ€‰0.3 and 0.7, only profiles at ฮฑโ€‰=โ€‰0.7 are displayed for clarity.

Under the low discharge, no obvious difference in the distribution of time-averaged streamwise flow velocity is observed at the upstream bar tail (Figure 10(a)). At the confluence junction (Figure 10(b)), the velocities near the side banks (ฮฑโ€‰=โ€‰0.7) are larger than those at the centre (ฮฑโ€‰=โ€‰0.5) in both the confluence-bifurcation unit and the single confluence, which suggests that the two tributary flows have not sufficiently merged. The two tributary flows achieve convergence at CS11 in both the confluence-bifurcation unit and the single confluence (Figure 10(c)), with the velocity at the centre (ฮฑโ€‰=โ€‰0.5) is larger than that near the side banks. Nevertheless, the velocities at the centre (ฮฑโ€‰=โ€‰0.5) and near the side banks (ฮฑโ€‰=โ€‰0.7) are closer to each other in the confluence-bifurcation unit than those in the single confluence, which represents less sufficient flow convergence in the confluence-bifurcation unit than in the single confluence. Therefore, it can be inferred that the convergence of two tributary flows may achieve a steady state faster in the confluence-bifurcation unit. After reaching the steady state, the velocity near the side banks (ฮฑโ€‰=โ€‰0.7) is smaller in the single confluence than in the confluence-bifurcation unit despite close values at the centre (ฮฑโ€‰=โ€‰0.5) (Figure 10(d,e)). This leads to a more pronounced disparity between velocities at the centre and near the side banks in the single confluence than that observed in the confluence-bifurcation unit. In other words, the high-velocity zone is more concentrated on the channel centreline in the single confluence, while the lateral distribution of flow velocity tends to be more uniform in the confluence-bifurcation unit. This may be attributed to the influence of the downstream central bar, which is further proved by comparing the velocity profiles at CS15 (Figure 10(e)).

As for the high discharge condition, from CS08 to CS14, the quantitative differences in velocity distribution between the confluence-bifurcation unit and the single confluence seem small. This indicates that the effect of morphology appears to be subdued when the central bars are fully submerged under the high discharge. It should be also noted that under both the low and high discharge, velocity profiles at the corresponding location exhibit the same shapes in the confluence-bifurcation unit and the single confluence, which indicates that the upstream confluence may dominate the flow structure in the confluence-bifurcation unit.

4.2.1.2. Secondary current

Figure 11 shows contour plots of SCS and the secondary current structure for single confluence cases. Compared with Figure 7, under both low and high discharge conditions, the distribution of SCS and the structure of helical cells in the confluence-bifurcation unit and the single confluence are very similar from CS08 to CS12 (Figure 7(aโ€“d, gโ€“j) and Figure 11(aโ€“d, gโ€“j)]. This indicates that the secondary current structure in the confluence-bifurcation unit exhibits certain consistent features when compared to those in the single confluence, thus proving that the effects of the upstream central bar may dominate the flow structure in the confluence-bifurcation unit. However, the secondary current structure at CS14 and CS15 is different between the confluence-bifurcation unit and the single confluence (Figure 7 and 11(e, f, k,l)). Under the low discharge, transverse flow is from the side banks to the centre and relatively high SCS is found near the side banks at CS14 in the single confluence, while the transverse flow is always from the centre to the side banks and SCS is relatively low at the corresponding sites in the confluence-bifurcation unit (Figure 11(e)). Under the high discharge, the helical cells near the side walls almost diminish in the single confluence, while they still exist in the confluence-bifurcation unit at CS14 (Figure 11(k)). Under both low and high discharges, the secondary current pattern at CS15 is similar to that at CS14 in the single confluence, while they are different in the confluence-bifurcation unit due to the existence of the downstream central bar. This comparison indicates that the existence of the downstream central bar can influence the upstream secondary current structure, nevertheless, the effects are fairly limited.

Figure 11.ย Secondary current at different cross-sections in the single confluence condition: (a)โˆผ(f) case 1b, (g)โˆผ(l) case 2b. The zero distance of each cross-section is located on the right bank.
4.2.1.3. Turbulent kinetic energy

Figure 12 shows TKE distribution along the flow depth at different cross-sections. Under the low discharge, in general, the maximum TKE tends to appear near the channel bottom in both the confluence-bifurcation unit and the single confluence. No obvious difference is observed at the upstream bar tail (CS08) (Figure 12(a)). Downstream this site (at CS09), the maximum TKE near the side banks (ฮฑโ€‰=โ€‰0.7) is larger than that at the channel centre in the single confluence, while they are close to each other in the confluence-bifurcation unit (Figure 12(b)). This can also be attributed to the insufficient convergence of the two tributary flows. At CS11, flow convergence achieves a steady state in the confluence-bifurcation unit, while it remains insufficient in the single confluence. As flow convergence reaches a steady state at CS12, the maximum TKE in the single confluence exhibits a more concentrated distribution on the channel centre than that in the confluence-bifurcation unit (Figure 12(d)). This effect becomes more obvious downstream at CS14 (Figure 12(e)). The less-concentrated distribution of the maximum TKE in the confluence-bifurcation unit can be owing to the effects of the downstream central bar as well, which appears analogous to that mentioned in 4.2.1.1.

Figure 12.ย Comparison of the distribution of TKE along the flow depth at different cross-sections between the confluence-bifurcation unit and the single confluence. (a)โˆผ(f) 1a vs. 1b, (g)โˆผ(l) 2a vs. 2b.

Under the high discharge condition, two peaks of TKE appear in both the confluence-bifurcation unit and the single confluence (Figure 12(gโ€“l)). Moreover, in both the confluence-bifurcation unit and the single confluence, from the upstream bar tail to the downstream bar head, the peak of TKE in the upper flow is larger at the channel centre (ฮฑโ€‰=โ€‰0.5), while the peak of TKE in the lower flow is larger near the side banks (ฮฑโ€‰=โ€‰0.7). However, the disparity between the TKE near the side banks and at the channel centre seems to be larger in the single confluence, while the TKE in the confluence-bifurcation unit takes a more uniform distribution. Even though, TKE profiles at the corresponding location exhibit highly similar shapes in the confluence-bifurcation unit and the single confluence, suggesting that the effects of channel morphology seem to be inhibited when the central bars are submerged under the high discharge.

4.2.2. Comparison with single bifurcation cases

Distributions of time-averaged streamwise velocity, TKE and TDR at corresponding cross-sections are also compared between the single bifurcation (see the Supplementary material) and the confluence-bifurcation unit (Figures 4, 8 and 9). Unlike the high similarity in flow characteristics exhibited between the confluence-bifurcation unit and the single confluence, significant differences are found between the confluence-bifurcation unit and the single bifurcation, especially at CS08โˆผCS14. On the one hand, the high-velocity zones are broader and asymmetrical concerning the channel centreline in the single bifurcation, with a belt-like and an approximately elliptic-like distribution respectively under the low and high discharges. By contrast, the high-velocity zone is a core that concentrates on the channel centre in the confluence-bifurcation unit. Moreover, the maximum velocity seems smaller in the single bifurcation than that in the confluence-bifurcation unit. On the other hand, the high-TKE belt near the channel bottom appears to be narrower in the single bifurcation than in the confluence-bifurcation unit, especially at CS08โˆผCS14 under the low discharge. Furthermore, additional high-TKE zones are found near the side walls at CS08โˆผCS11 in the single bifurcation, of which the scale is obviously smaller than those in the confluence-bifurcation unit. In addition, TKE at the channel centre is smaller near the free surface in the single bifurcation than that in the confluence-bifurcation unit. Nevertheless, the distributions of velocity, TKE and TDR seem to be similar in the confluence-bifurcation unit and the single bifurcation at CS15. As the existence of the upstream central bar is the main difference between the single confluence and the confluence-bifurcation unit, all the above findings indicate that the upstream central bar greatly influences the flow structure in the confluence-bifurcation unit. On the other hand, the downstream central bar may have a restricted influence on the flow structure in the confluence-bifurcation unit, whose impact may be limited to a range between the entrance of the bifurcation (CS14) and the downstream bar head (CS15). To further elucidate the differences, results on the distribution of time-averaged streamwise velocity and TKE along the flow depth are discussed below.

4.2.2.1. Time-averaged streamwise velocity

Figure 13 shows the distribution of time-averaged streamwise velocity along the flow depth at different cross-sections. Under the low discharge, distinct distribution patterns of flow velocity between the confluence-bifurcation unit and the single bifurcation are found at CS08, CS09 and CS11, which can be attributed to the effects of upstream flow convergence (Figure 13(aโ€“c)). However, when the flow convergence reaches a steady state in the confluence-bifurcation unit (Figure 13(dโ€“f)), the high-velocity zone is more concentrated in the confluence-bifurcation unit than in the single bifurcation due to to the significant influence of the upstream central bar on the flow structure. The velocity profiles at the downstream bar head can be a shred of evidence as well, with the maximum velocity larger at the channel centre but smaller near the side banks in the confluence-bifurcation unit than in the single bifurcation.

Figure 13.ย Comparison of the distribution of time-averaged streamwise flow velocity along the flow depth at different cross-sections between the confluence-bifurcation unit and the single bifurcation. (a)โˆผ(f) 1a vs. 1c, (g)โˆผ(l) 2a vs. 2c.

Under the high discharge, the distribution of velocity seems to exhibit limited differences between the two kinds of morphology, which indicates that the effects of channel morphology may be less noticeable when the central bars are fully submerged under the high discharge. Nevertheless, the velocity in the lower flow (below a relative depth of 0.45) shows a uniform lateral distribution in the single bifurcation, as the velocity profile at the channel centreline (ฮฑโ€‰=โ€‰0.5) is in line with that near the side banks (ฮฑโ€‰=โ€‰0.7) (Figure 13(gโ€“l)). However, in the confluence-bifurcation unit, different velocity distributions in the lower flow can be observed at the channel centreline (ฮฑโ€‰=โ€‰0.5) and near the side banks (ฮฑโ€‰=โ€‰0.7). The foregoing results indicate that when the central bars are fully submerged, the high-velocity zones are more concentrated on the channel centreline in the confluence-bifurcation unit, while the lateral distribution of flow velocity within the single bifurcation tends to be more uniform, especially near the bifurcation junction (Figure 13(j,k)). This can also be attributed to the dominant influence of the upstream central bar over the downstream central bar.

It is also noted that the flow velocity distribution along the flow depth in the confluence-bifurcation unit is of a similar pattern despite varying discharges. As a critical point, the maximum velocity appears in the upper flow. The distribution above the critical point is approximately linear whereas it appears logarithmic below. By contrast, despite the similarity observed under the low discharge, the flow velocity distribution along the flow depth within the single bifurcation exhibits a distinct pattern under the high discharge, especially near the side banks (Figure 13(eโ€“h)). On the one hand, the critical point in the upper flow no longer corresponds to the maximum velocity. On the other hand, the velocity distribution deviates from logarithmic below the critical point, with the maximum velocity appearing at a relative depth of 0.45. Succinctly, the distribution of streamwise velocity along the flow depth may retain the same pattern regardless of discharge levels in the confluence-bifurcation unit, while it may exhibit distinct patterns under different discharge levels in the single bifurcation.

4.2.2.2. Secondary current

Figure 14 shows contour plots of SCS and the distribution of secondary current for single bifurcation cases. In general, the value of SCS near the side banks at CS08โˆผCS14 (Figure 14(aโ€“d, gโ€“j)) in the single bifurcation seems smaller than that in the confluence-bifurcation unit (Figure 7(aโ€“d, gโ€“j)), especially under the low discharge. SCS distribution at CS14 is similar in the confluence-bifurcation unit and the single bifurcation under both low and high discharges. This difference in SCS distribution between the confluence-bifurcation unit and the single bifurcation indicates that the downstream bifurcation may have a restricted influence on the flow structure in the confluence-bifurcation unit. This influence is limited to a range between the entrance of the bifurcation (CS14) and the downstream bar head (CS15).

Figure 14.ย Secondary current at different cross-sections in the single bifurcation condition: (a)โˆผ(f) case 1c, (g)โˆผ(l) case 2c. The zero distance of each cross-section is located on the right bank.

In addition, the secondary current structure may also present different patterns in response to varying channel morphologies and discharge conditions. Under the low discharge condition, multiple unstable helical cells with asymmetrical distribution are formed from CS08 to CS12 in the single bifurcation (Figure 14(aโ€“d)), while no obvious helical cells are found at CS14 and CS15 (Figure 14(d,e)). These findings are quite different from the stable and symmetrical helical cells at all cross-sections shown in the confluence-bifurcation unit (Figure 7). This difference may be attributed to the significant influence of the upstream central bar and the limited influence of the downstream central bar. Under the high discharge condition, only one pair of premature helical cells are found from CS08 to CS12 in the single bifurcation with their cores located near the side banks (Figure 14(e,f)). As the flow moves downstream, the helical cells gradually develop and become well-established (Figure 14(g,h)). These helical cells in the single bifurcation show symmetric cross-sectional distribution and a similar longitudinal development as in the confluence-bifurcation unit. However, in the confluence-bifurcation unit, two pairs of helical cells appear upstream of CS12 and CS14 and gradually fuse to one pair under the high discharge. As the โ€˜two-pairsโ€™ structure in the confluence-bifurcation unit origins from the upstream confluence, the differences in the secondary current structure between the single bifurcation and the confluence-bifurcation unit under the high discharge can also be owing to the effects of the upstream central bar in excess of those of the downstream central bar.

4.2.2.3. Turbulent kinetic energy

Figure 15 shows the TKE distribution along the flow depth at different cross-sections. Under the low discharge, when the two tributary flows have not achieved sufficient convergence in the confluence-bifurcation unit, the maximum TKE is more concentrated in the single bifurcation (Figure 15(aโ€“c)). As flow convergence achieves a steady state, more concentrated high-TKE zones appear at the channel centre within the confluence-bifurcation unit, confirming the finding that the effects of the upstream central bar reign over those of the downstream central bar in the confluence-bifurcation unit. However, things can be very complicated under the high discharge. For TKE distribution at the channel centreline, two peaks appear in the confluence-bifurcation unit with one close to the free surface and the other near the bed (Figure 15(gโ€“l)). By contrast, only one peak near the bed is present in the single bifurcation. Therefore, a larger TKE can be found in the upper flow of the channel centreline in the confluence-bifurcation unit. For TKE distribution near the side banks, two peaks appear in both the confluence-bifurcation unit and the single bifurcation at CS09โˆผCS14 (Figure 15(hโ€“l)). The upper peak is larger but the lower peak is smaller within the single bifurcation than those within the confluence-bifurcation unit. These significant discordances in TKE distribution under the high discharge further prove that the effects of the upstream bar on the flow structure in the confluence-bifurcation unit are more prominent than those of the downstream central bar.

Figure 15.ย Comparison of the distribution of TKE along the flow depth at different cross-sections between the confluence-bifurcation unit and the single bifurcation. (a)โˆผ(f) 1a vs. 1c, (g)โˆผ(l) 2a vs. 2c.

4.2.3. Further discussion of the comparisons

The above subsections have revealed significant differences in flow structure within the confluence-bifurcation unit and the single confluence and bifurcation, which directly result from the distinct channel morphologies and vary with the discharge conditions as well. These differences are summarized and further discussed below.

The distinctive morphology of a confluence-bifurcation unit plays a pivotal role in governing streamwise flow velocity distribution, secondary current structure, and turbulent kinetic energy distribution within the channel. Generally, from the upstream bar tail (CS08) to the entrance of the bifurcation (CS14), the flow structure in the confluence-bifurcation unit is highly similar to that in the single confluence, while it exhibits great differences (as shown in 4.2.2) between the confluence-bifurcation unit and the single bifurcation. This indicates that the upstream central bar greatly influences the flow structure in the confluence-bifurcation unit, with the effects spreading to the entrance of the bifurcation. At the downstream bar head (CS15), the flow structure (e.g. the transverse flow patterns) in the confluence-bifurcation unit exhibits high similarity to that in the single bifurcation. However, these similarities do not spread to upstream cross-sections, suggesting that the influence of the downstream central bar is limited at the bifurcation junction. In a word, the effects of the upstream central bar on the flow structure in the confluence-bifurcation unit are in excess of those of the downstream central bar.

However, despite the influence of channel morphology, discharge may also have some important effects on the streamwise flow velocity distribution. On the one hand, when the central bars are exposed under the low discharge, the high-velocity zone is less concentrated in the confluence-bifurcation unit than in the single confluence, while it is more concentrated in the confluence-bifurcation unit than in the single bifurcation. On the other hand, it is noticed that when the central bars are fully submerged under the high discharge, reduced differences in flow structure between the confluence-bifurcation unit and the single confluence/bifurcation are witnessed, and thus the morphology effect seems to be subdued.

4.3. Implications

The present work unravels the flow structure in a laboratory-scale confluence-bifurcation unit and takes the first step to further investigating morphodynamics in such channel morphology. Based on the comparison with a single confluence/bifurcation, the findings provide insight into the complex 3D interactions between water flow and channel morphology. The distinct flow structure in the laboratory-scale confluence-bifurcation unit may appreciably alter sediment transport and morphological evolution, of which research is underway. As the basic morphological element of braided river planform is confluence-bifurcation units, the present work should have direct implications for flow structure in natural braided rivers. This is pivotal for the sustainable management of braided rivers which deals with water and land resources planning, eco-hydrological well-being, and infrastructure safety such as cross-river bridges and oil pipelines (Redolfi et al., 2019; Ragno et al., 2021).

Notably, braided rivers worldwide (e.g. in the Himalayas, North America, and New Zealand) have undergone increased pressures and will continue to evolve due to forces of global climate change and intensified anthropogenic activities (Caruso et al., 2017; Hicks et al., 2021; Lu et al., 2022). In particular, channel aggradation caused by increased sediment supply as well as exploitation of braidplain compromise space for flood conveyance, making the rivers prone to flooding. In this sense, an enhanced understanding of the flow structure under high discharge when central bars are fully submerged is essential for mitigating flooding hazards.

5. Conclusions


This study has numerically investigated the 3D flow structure in a laboratory-scale confluence-bifurcation unit based on the LES model integrated in the FLOW3Dยฎ software platform. Two different discharges are considered with the central bars fully submerged or exposed respectively when the discharge is high or low. Cases of a single confluence/bifurcation are included for comparison. The key findings of this paper are as follows:

  1. Several differences are highlighted in the comparison of the flow structure in the confluence-bifurcation unit between the two discharges. When the central bars are fully submerged under the high discharge, the mixing layer of two tributary flows is less obvious, and two high-velocity cores merge more rapidly as compared with those under the low discharge. Besides, flow separation zones are found neither at the confluence corner nor on both sides of the downstream bar when the central bars are fully submerged. Moreover, SCS seems to be smaller near the side banks under the high discharge than under the low discharge. Therefore, it is suggested that flow convergence/divergence is relatively weak in the confluence-bifurcation unit when central bars are fully submerged under the high discharge.
  2. From the upstream bar tail to the entrance of the bifurcation, the flow structure in the confluence-bifurcation unit is highly similar to that in the single confluence, while it exhibits great differences from that in the single bifurcation. Only at the downstream bar head does the flow structure in the confluence-bifurcation unit exhibit high similarity to that in the single bifurcation. Consequently, the effects of the upstream central bar on the flow structure in the confluence-bifurcation unit reign over those of the downstream central bar.
  3. Despite the influence of channel morphology, discharge may also have significant effects on the distribution of streamwise flow velocity. On the one hand, when the central bars are exposed under the low discharge, the high-velocity zone is less concentrated in the confluence-bifurcation unit than in the single confluence, while it is more concentrated in the confluence-bifurcation unit than in the single bifurcation. On the other hand, when the central bars are fully submerged under the high discharge, reduced differences in flow structure between the confluence-bifurcation unit and the single confluence/bifurcation are witnessed, and thus the morphology effect seems to be subdued.

It is noticed that the effects of other factors (e.g. confluence and bifurcation angles, bed discordance) on the flow structure in the confluence-bifurcation unit are not discussed here. Studies on these issues are warranted and reserved for future work.

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์ž์œ  ํ‘œ๋ฉด ํ๋ฆ„์€ ๊ฐ€์ •๊ณผ ์‚ฌ๋ฌด์‹ค ํ™˜๊ฒฝ ๋ชจ๋‘์—์„œ ์‚ฌ์šฉ๋˜๋Š” ์†Œ๋น„์ž ์ œํ’ˆ์˜ ์„ค๊ณ„ ๋ฐ ์ œ์กฐ์—์„œ ์ผ๋ฐ˜์ ์ž…๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๋ณ‘ ์ฑ„์šฐ๊ธฐ๋Š” ๋งค์ผ ๋Œ€๊ทœ๋ชจ๋กœ ์ด๋ฃจ์–ด์ง€๋Š” ํ”„๋กœ์„ธ์Šค์ž…๋‹ˆ๋‹ค. ์ƒ์‚ฐ ์†๋„๋ฅผ ๊ทน๋Œ€ํ™”ํ•˜๋ฉด์„œ ๋‚ญ๋น„๋ฅผ ์ตœ์†Œํ™”ํ•˜๋„๋ก ์ด๋Ÿฌํ•œ ํ”„๋กœ์„ธ์Šค๋ฅผ ์„ค๊ณ„ํ•˜๋ฉด ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ์ƒ๋‹นํ•œ ๋น„์šฉ ์ ˆ๊ฐ์œผ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D๋Š” ๋˜ํ•œ ์Šคํ”„๋ ˆ์ด ๋…ธ์ฆ์„ ์„ค๊ณ„ํ•˜๊ณ  ๋‹ค๊ณต์„ฑ ์žฌ๋ฃŒ ๋ฐ ๊ธฐํƒ€ ์†Œ๋น„์žฌ ๊ตฌ์„ฑ ์š”์†Œ์˜ ํก์ˆ˜ ๊ธฐ๋Šฅ์„ ๋ชจ๋ธ๋งํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D ์˜ ๊ณต๊ธฐ ์œ ์ž…, ๋‹ค๊ณต์„ฑ ๋งค์ฒด ๋ฐ ํ‘œ๋ฉด ์žฅ๋ ฅ์„ ํฌํ•จํ•œ ๊ณ ๊ธ‰ ๋‹ค์ค‘ ๋ฌผ๋ฆฌ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜๋ฉด ์†Œ๋น„์ž ์ œํ’ˆ ์„ค๊ณ„๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ์ตœ์ ํ™”ํ•˜๋Š” ๊ฒƒ์ด ์‰ฝ์Šต๋‹ˆ๋‹ค.

์ถฉ์ „์žฌ

์œ ์ž…๋œ ๊ณต๊ธฐ๋Š” ์ƒ์‚ฐ ๋ผ์ธ์—์„œ ์šฉ๊ธฐ๋ฅผ ์ฑ„์šธ ๋•Œ ์•ก์ฒด์˜ ๋ถ€ํ”ผ๋ฅผ ๋Š˜๋ฆด ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์•„๋ž˜ ์™ผ์ชฝ ์ด๋ฏธ์ง€๋Š” ๋†’์ด๊ฐ€ ์•ฝ 20cm์ธ ๋ณ‘์„ 1.2์ดˆ ๋™์•ˆ ์ฑ„์šฐ๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ƒ‰์ƒ ์Œ์˜์€ ์•ก์ฒด์— ์žˆ๋Š” ๊ณต๊ธฐ์˜ ๋ถ€ํ”ผ ๋ถ„์œจ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ๋ณ‘์—์„œ ํ˜ผํ•ฉ ์‹œ๊ฐ„์ด ์งง๊ณ  ํ˜ผํ•ฉ ์ •๋„๊ฐ€ ๋†’๊ธฐ ๋•Œ๋ฌธ์— ๊ณต๊ธฐ๊ฐ€ ํ‘œ๋ฉด์œผ๋กœ ์˜ฌ๋ผ๊ฐ€ ๋น ์ ธ๋‚˜๊ฐˆ ์‹œ๊ฐ„์ด ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์˜ค๋ฅธ์ชฝ ์ด๋ฏธ์ง€์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด ์•ฝ 1.7์ดˆ์˜ ์ถ”๊ฐ€ ์‹œ๊ฐ„์ด ์ง€๋‚˜๋ฉด ๊ณต๊ธฐ๊ฐ€ ํ‘œ๋ฉด์œผ๋กœ ์˜ฌ๋ผ๊ฐ€๋ฉด์„œ ๋ฐœ์ƒํ•˜๋Š” ์•ก์ฒด ๋ถ€ํ”ผ ๊ฐ์†Œ๊ฐ€ ๋ช…ํ™•ํ•˜๊ฒŒ ๋ณด์ž…๋‹ˆ๋‹ค.  FLOW-3D ์˜ ๋“œ๋ฆฌํ”„ํŠธ ํ”Œ๋Ÿญ์Šค ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜๋ฉด ์•ก์ฒด์— ์žˆ๋Š” ๊ธฐํฌ์™€ ๊ฐ™์€ ๊ตฌ์„ฑ ์š”์†Œ๋ฅผ ๋ถ„๋ฆฌํ•˜์—ฌ ๋ถ„๋ฆฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Tideยฎ ๋ณ‘ ์ถฉ์ „์˜ ๋น ๋ฅธ ํ‰๊ฐ€

์ด ๊ธฐ์‚ฌ์—์„œ๋Š”  FLOW-3D๋ฅผ  ์‚ฌ์šฉํ•˜์—ฌ ์ƒˆ๋กœ์šด ํƒ€์ด๋“œ ๋ณ‘ ๋””์ž์ธ์˜ ์ถฉ์ „์„ ๋ชจ๋ธ๋งํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•˜๋ฉฐ,  Procter and Gamble Company์˜ ๊ธฐ์ˆ  ์„น์…˜ ์ฑ…์ž„์ž์ธ John McKibben์ด ๊ธฐ๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค .

์ง€๊ธˆ ์˜ค์ „ 9์‹œ์ธ๋ฐ ๊ธด๊ธ‰ ์ด๋ฉ”์ผ์„ ๋ฐ›์•˜๋‹ค๊ณ  ์ƒ์ƒํ•ด๋ณด์„ธ์š”.

 ๋ฐฉ๊ธˆ ์ƒˆ๋กœ์šด Tideยฎ ๋ณ‘ ๋””์ž์ธ ์ค‘ ํ•˜๋‚˜๊ฐ€ ์†์žก์ด์— ์ฑ„์›Œ์ง€๊ณ  ์ถฉ์ „ ์žฅ๋น„์— ๋ฌธ์ œ๊ฐ€ ์ƒ๊ธธ ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๊นจ๋‹ฌ์•˜์Šต๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ํ”„๋กœํ† ํƒ€์ž… ๋ณ‘์ด ์—†์œผ๋ฉฐ ๋ช‡ ์ฃผ ๋™์•ˆ ์—†์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋””์ž์ด๋„ˆ์™€ ์†Œ๋น„์ž๋Š” ๋””์ž์ธ์˜ ๋ชจ์Šต์„ ์ข‹์•„ํ•˜์ง€๋งŒ, ์ฑ„์šฐ๋Š” ๋ฐฉ์‹์ด ์ƒ์‚ฐ ์‹œ์„ค์— ์‡ผ์Šคํ† ํผ๊ฐ€ ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฐ ์ƒํ™ฉ์ด ์ œ๊ฒŒ ์ฃผ์–ด์กŒ์„ ๋•Œ, ์ €๋Š” 3D ์ง€์˜ค๋ฉ”ํŠธ๋ฆฌ(๊ทธ๋ฆผ 1)์˜ ์Šคํ…Œ๋ ˆ์˜ค ๋ฆฌ์†Œ๊ทธ๋ž˜ํ”ผ(.stl) ํŒŒ์ผ์„ ์š”์ฒญํ•˜์—ฌ ์‘๋‹ต์„ ์‹œ์ž‘ํ–ˆ๊ณ , ์ œ๊ฐ€ ๋ฌด์—‡์„ ํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์•Œ์•„๋ณด๊ณ ์ž ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ €๋Š”  FLOW-3D๊ฐ€  .stl ํŒŒ์ผ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ง€์˜ค๋ฉ”ํŠธ๋ฆฌ๋ฅผ ์ž…๋ ฅํ•˜๊ณ  ์ถฉ์ „์„ ์œ„ํ•œ ์ž์œ  ํ‘œ๋ฉด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ๋Š” ๊ฒƒ์„ ์•Œ๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ €๋Š” ์ด๊ฒƒ์ด ์ž ์žฌ์ ์ธ ๋ฌธ์ œ์— ๋Œ€ํ•œ ์ข‹์€ ์ •์„ฑ์  ์ดํ•ด๋ฅผ ์ œ๊ณตํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ–ˆ์ง€๋งŒ, ์ด ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์— ์–ผ๋งˆ๋‚˜ ์ •ํ™•ํ• ์ง€์— ๋Œ€ํ•ด ์•ฝ๊ฐ„ ๋ถˆํ™•์‹คํ–ˆ์Šต๋‹ˆ๋‹ค.

๋ณ‘์˜ ๊ธฐํ•˜ํ•™

์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ • ๋ฐ ์‹คํ–‰

์˜คํ›„ 1์‹œ๊ฒฝ์— ์ €๋Š” ์ง€์˜ค๋ฉ”ํŠธ๋ฆฌ ํŒŒ์ผ, ์œ ๋Ÿ‰, ์œ ์ฒด ํŠน์„ฑ์„ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค. ๋ช‡ ์‹œ๊ฐ„ ์ด๋‚ด์— ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹คํ–‰๋˜์–ด ์˜ˆ๋น„ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜์™”์Šต๋‹ˆ๋‹ค. ์ €๋Š” ์ œ ๊ณ ๊ฐ์„ ์ดˆ๋Œ€ํ•˜์—ฌ ๊ฒฐ๊ณผ๋ฅผ ์ž ๊น ์‚ดํŽด๋ณด๊ฒŒ ํ–ˆ๊ณ  ๊ทธ๋Š” “์‚ฌ์žฅ์˜ ์ƒ์‚ฌ”๋ฅผ ๋ฐ๋ ค์™€์„œ ์‚ดํŽด๋ณด๊ฒŒ ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ž˜์„œ ์ €๋… 5์‹œ๊ฒฝ์— ์˜ˆ๋น„ ๊ฒฐ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๊ณ  ์›๋ž˜ ์šฐ๋ คํ–ˆ๋˜ ๊ฒƒ์ด ๋ฌธ์ œ๊ฐ€ ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ•˜์ง€๋งŒ ๊ฒฐ๊ณผ๋Š” ๋ช‡ ๊ฐ€์ง€ ๋‹ค๋ฅธ ์˜๋ฌธ์„ ์ œ๊ธฐํ–ˆ์Šต๋‹ˆ๋‹ค. ์†์žก์ด์— ์ฑ„์šฐ๋ฉด ์œ ์ž… ์œ ์ฒด ์ œํŠธ๊ฐ€ ๋งŽ์ด ๊นจ์กŒ์Šต๋‹ˆ๋‹ค. ์ด๋ ‡๊ฒŒ ํ•˜๋ฉด ์œ ์ž… ๊ณต๊ธฐ์™€ ๊ฑฐํ’ˆ์˜ ์–‘์ด ๋Š˜์–ด๋‚  ๊ฒƒ์ด๋ผ๋Š” ๊ฑธ ์•Œ์•˜์Šต๋‹ˆ๋‹ค(๊ฒฐ๊ตญ ์„ธํƒ ์„ธ์ œ๋ฅผ ์ฑ„์šฐ๊ณ  ์žˆ์œผ๋‹ˆ๊นŒ์š”).  FLOW-3D  ๊ณต๊ธฐ ์œ ์ž… ๋ชจ๋ธ์„ ํ…Œ์ŠคํŠธํ•˜๊ธฐ๋กœ ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ชจ๋ธ์€ ์›๋ž˜ ๋‚œ๋ฅ˜ ์ œํŠธ์šฉ์œผ๋กœ ๊ฐœ๋ฐœ๋˜์—ˆ๊ณ , ์ด ์ธต๋ฅ˜ ๋ฌธ์ œ๋ฅผ ์‚ดํŽด๋ณด๋ฉด ์–ผ๋งˆ๋‚˜ ์ž˜ ์ˆ˜ํ–‰๋ ์ง€ ํ™•์‹ ํ•  ์ˆ˜ ์—†์—ˆ์Šต๋‹ˆ๋‹ค.

๋ณ‘ ์ฑ„์šฐ๊ธฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜
๊ทธ๋ฆผ 2: ์ฑ„์›Œ์ง„ ๊ฒฐ๊ณผ
๋ณ‘ ์ฑ„์šฐ๊ธฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ ๊ฒ€์ฆ
๊ทธ๋ฆผ 3: ์‹คํ—˜ ๋น„๊ต

๊ทธ๋ฆผ 2๋Š” ๊ณต๊ธฐ ์œ ์ž… ๋ชจ๋ธ์ด ์žˆ๋Š” ๊ฒฝ์šฐ์™€ ์—†๋Š” ๊ฒฝ์šฐ ๋ณ‘ ์ถฉ์ „ ๋ชจ๋ธ์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์œ ์ž… ๊ณต๊ธฐ๊ฐ€ ํฌํ•จ๋˜๋ฉด ์ถฉ์ „ ๋ ˆ๋ฒจ์ด ์ƒ๋‹นํžˆ ์ฆ๊ฐ€ํ•œ๋‹ค๋Š” ์ ์— ์œ ์˜ํ•˜์‹ญ์‹œ์˜ค. ์œ ์ž… ๊ณต๊ธฐ๊ฐ€ ๋ณ‘ ์ƒ๋‹จ์—์„œ ์œ ์ฒด๋ฅผ ๊ฐ•์ œ๋กœ ๋ฐ€์–ด๋‚ด์ง€๋Š” ์•Š์ง€๋งŒ ๊ณต๊ธฐ ์œ ์ž… ์ •ํ™•๋„๋ฅผ ํ™•์ธํ•ด์•ผ ํ•  ๋งŒํผ ์ถฉ๋ถ„ํžˆ ๊ฐ€๊น์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆผ 3์€ ๊ณต๊ธฐ ์œ ์ž… ๋ ˆ๋ฒจ์„ ๋ช‡ ์ฃผ ํ›„์— ์‹คํ–‰ํ•œ ์‹คํ—˜ ์ด๋ฏธ์ง€์™€ ๋น„๊ตํ•ฉ๋‹ˆ๋‹ค(์‹œ์ œํ’ˆ ๋ณ‘์ด ์ถœ์‹œ๋œ ํ›„). ์ œํŠธ ๋ถ„๋ฆฌ ๋ฐ ์ถฉ์ „ ๋ ˆ๋ฒจ์˜ ์งˆ์  ์ผ์น˜๋Š” ์šฐ์ˆ˜ํ•˜๋ฉฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ๋ณ‘ ์„ค๊ณ„๋ฅผ ์„ ๋ณ„ํ•˜๊ธฐ์— ์ถฉ๋ถ„ํžˆ ์ •ํ™•ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ™์กฐ

๋ณ€๊ธฐ๊ฐ€ ์–ด๋–ป๊ฒŒ ์ž‘๋™ํ•˜๋Š”์ง€ ๊ถ๊ธˆํ•œ ์ ์ด ์žˆ๋‚˜์š”? ์‚ฌ์‹ค ๊ฝค ๋ณต์žกํ•ฉ๋‹ˆ๋‹ค. ์†์žก์ด๋ฅผ ๋ฐ€๋ฉด ๋ฌผ์ด ๋ณ€๊ธฐ ๊ทธ๋ฆ‡์„ ์ฑ„์šฐ๊ธฐ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค. ๋ณ€๊ธฐ ๊ทธ๋ฆ‡์˜ ์œ ์ฒด ์ˆ˜์œ„๊ฐ€ ํŠธ๋žฉ ์ƒ๋‹จ(๋ณ€๊ธฐ ๊ทธ๋ฆ‡ ๋’ค) ์œ„๋กœ ์˜ฌ๋ผ๊ฐ€๋ฉด ์›จ์–ด ์œ ํ˜•์˜ ํ๋ฆ„์ด ์‹œ์ž‘๋ฉ๋‹ˆ๋‹ค. ํ๋ฆ„์ด โ€‹โ€‹์ถฉ๋ถ„ํžˆ ๋น ๋ฅด๋ฉด ๋ณ€๊ธฐ ๊ทธ๋ฆ‡์— ๊ฑฐํ’ˆ์ด ํ˜•์„ฑ๋˜์–ด ์‚ฌ์ดํŽ€์ด ์ƒ์„ฑ๋ฉ๋‹ˆ๋‹ค. ๊ทธ ์ง€์ ์—์„œ ์‚ฌ์ดํŽ€์ด ๋ณ€๊ธฐ ๊ทธ๋ฆ‡์—์„œ ๋ฌผ์„ ๋Œ์–ด๋‚ด๊ณ  ๋ณ€๊ธฐ๊ฐ€ ๋ฌผ์„ ํ˜๋ฆฝ๋‹ˆ๋‹ค. ๋งŽ์€ ์ง€์—ญ์—์„œ ๋ฌผ ์ ˆ์•ฝ์€ ์ค‘์š”ํ•œ ๋ฌธ์ œ์ด๋ฉฐ, ์ €์œ ๋Ÿ‰ ๋ณ€๊ธฐ๋Š” ๊ฐ€์ •๊ณผ ์ƒ์—…์šฉ ๋ชจ๋‘์— ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ๋ณ€๊ธฐ๊ฐ€ ์ฒซ ๋ฒˆ์งธ ์‹œ๋„์—์„œ ์ œ ์—ญํ• ์„ ํ•˜์ง€ ๋ชปํ•˜๋ฉด ๋ฌผ ์ ˆ์•ฝ ๋ชฉํ‘œ๋Š” ๋‹ฌ์„ฑ๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.  FLOW-3D๋ฅผ  ์‚ฌ์šฉํ•˜๋ฉด ๋‹ค์–‘ํ•œ ์„ค๊ณ„๋ฅผ ๋ชจ๋ธ๋งํ•˜์—ฌ ์ตœ์ ์˜ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์‹ํ’ˆ ๊ฐ€๊ณต

์‹ํ’ˆ ๊ฐ€๊ณต ์‚ฐ์—…์€ ๋ณต์žกํ•œ ์œ ์ฒด, ์ผ๋ฐ˜์ ์œผ๋กœ ๋น„๋‰ดํ„ด ์œ ์ฒด, ์Šฌ๋Ÿฌ๋ฆฌ, ๊ณ ์ฒด์™€ ์œ ์ฒด์˜ ํ˜ผํ•ฉ๋ฌผ์„ ๊ด€๋ฆฌํ•˜์—ฌ ๋ถ„๋ฐฐ ์žฅ๋น„๋ฅผ ์ตœ์ ์œผ๋กœ ์„ค๊ณ„ํ•˜๊ณ  ์ œ์กฐํ•˜๊ธฐ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ์š”๊ตฌ ์‚ฌํ•ญ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์ƒ์—…์šฉ ์žฅ๋น„์˜ ์ผ๊ด€์„ฑ๊ณผ ๋‚ด๊ตฌ์„ฑ ๋ฐ ํ’ˆ์งˆ์— ํ•„์ˆ˜์ ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ ํฌ์žฅ ๋””์ž์ธ์˜ ํ˜์‹ ์„ ํ†ตํ•ด ํ•œ ์ œํ’ˆ์„ ๋‹ค๋ฅธ ์ œํ’ˆ๊ณผ ๋ช…ํ™•ํžˆ ๊ตฌ๋ณ„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๊ฟ€, ์ผ€์ฒฉ ๋˜๋Š” ํฌ๋ฆฌ๋จธ๋ฅผ ๊นจ๋—ํ•˜๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ๋ถ„๋ฐฐํ•˜๋Š” ๊ฒƒ์€ ์†Œ๋น„์ž๊ฐ€ ๋งค์žฅ์—์„œ ๋‚ด๋ฆฌ๋Š” ์„ ํƒ์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์šด์†ก ๋ฐ ๋ณด๊ด€ ์š”๊ตฌ ์‚ฌํ•ญ์—๋Š” ๋” ๋‚˜์€ ๋ชจ์–‘ ์—”์ง€๋‹ˆ์–ด๋ง๊ณผ ๋” ๋งŽ์€ ์šฉ๊ธฐ ์žฌ๋ฃŒ ์„ ํƒ์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. 1.5๋ฆฌํ„ฐ ๋ฌผ๋ณ‘์ด๋‚˜ ์„ธํƒ ์„ธ์ œ๋ฅผ ์›€์ง์ด๊ฑฐ๋‚˜ ๋–จ์–ด๋œจ๋ฆฌ๋Š” ๋™์•ˆ์˜ ์œ ์ฒด ํ•˜์ค‘์€ ์ƒ๋ฅ˜ ์„ค๊ณ„์˜ ์ค‘์š”ํ•œ ๋ถ€๋ถ„์ด ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ฟ€, ์˜ฅ์ˆ˜์ˆ˜ ์‹œ๋Ÿฝ, ์น˜์•ฝ๊ณผ ๊ฐ™์€ ์ ์„ฑ ์œ ์ฒด๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ๊ณ ์ฒด ํ‘œ๋ฉด์— ๋‹ฟ์œผ๋ฉด ์ฝ”์ผ์„ ํ˜•์„ฑํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ํšจ๊ณผ๋Š” ๊ด€์ฐฐํ•˜๊ธฐ์— ํฅ๋ฏธ๋กญ๊ณ  ์žฌ๋ฏธ์žˆ์ง€๋งŒ, ๊ณต๊ธฐ๊ฐ€ ์ œํ’ˆ์— ๋Œ๋ ค๋“ค์–ด ํฌ์žฅ์ด ์–ด๋ ค์›Œ์งˆ ์ˆ˜ ์žˆ๋Š” ํฌ์žฅ ๊ณต์ •์—์„œ๋Š” ํ™˜์˜๋ฐ›์ง€ ๋ชปํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฝ”์ผ๋ง์ด ๋ฐœ์ƒํ•˜๋Š” ์กฐ๊ฑด์€ ์œ ์ฒด์˜ ์ ๋„, ์œ ์ฒด๊ฐ€ ๋–จ์–ด์ง€๋Š” ๊ฑฐ๋ฆฌ, ์œ ์ฒด์˜ ์†๋„์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง‘๋‹ˆ๋‹ค.  FLOW-3D๋Š”  ๋‹ค์–‘ํ•œ ๋ฌผ๋ฆฌ์  ๊ณต์ • ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์—ฐ๊ตฌํ•˜์—ฌ ํšจ์œจ์ ์ธ ๊ณต์ •์„ ์„ค๊ณ„ํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋˜๋Š” ์ •ํ™•ํ•œ ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

ํ˜ผ์ž…

์ง€๋‚œ ์ˆ˜์‹ญ ๋…„ ๋™์•ˆ ์ปดํ“จํ„ฐํ™”๋œ ์ธก์ • ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์œผ๋กœ ์ธํ•ด ํ˜ผํ•ฉ์— ๋Œ€ํ•œ ์ดํ•ด๊ฐ€ ํฌ๊ฒŒ ์ง„์ „๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์œ ๋™ ๋ชจ๋ธ๋ง ๊ธฐ์ˆ ์˜ ์ง€์†์ ์ธ ๋ฐœ์ „ ๋•๋ถ„์— ํ˜ผํ•ฉ ์žฅ๋น„์˜ ์œ ๋™ ์˜์กด์  ํ”„๋กœ์„ธ์Šค์— ๋Œ€ํ•œ ์ž์„ธํ•œ ํ†ต์ฐฐ๋ ฅ์„ CFD ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์‰ฝ๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ์ดํ•ดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ค๋Š˜๋‚  ๋ธ”๋ Œ๋”ฉ์—์„œ ๊ณ ์ฒด ํ˜„ํƒ์•ก, ์žฌํ‚ท ๋ฐ˜์‘๊ธฐ์˜ ์—ด ์ „๋‹ฌ์—์„œ ๋ฐœํšจ์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ๊ด‘๋ฒ”์œ„ํ•œ ์‘์šฉ ๋ถ„์•ผ๊ฐ€  FLOW-3D ์˜ ํ˜ผํ•ฉ ๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ๋ง๋ฉ๋‹ˆ๋‹ค.  FLOW-3D  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ž„ํŽ ๋Ÿฌ์˜ ๋ชจ๋“  ๊ตฌ์„ฑ๊ณผ ๋ชจ๋“  ์šฉ๊ธฐ ํ˜•์ƒ์˜ ํ˜ผํ•ฉ ์กฐ๊ฑด์—์„œ ๋ธ”๋ Œ๋”ฉ ์‹œ๊ฐ„, ์ˆœํ™˜ ๋ฐ ์ „๋ ฅ ์ˆ˜์™€ ๊ฐ™์€ ์ฃผ์š” ํ˜ผํ•ฉ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์‹คํ—˜์  ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ณด์™„ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์žฅ๋น„์˜ ์œ ๋™ ์˜์กด์  ํ”„๋กœ์„ธ์Šค๋ฅผ ์˜ˆ์ธกํ•˜๊ณ  ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด CFD ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ์ œํ’ˆ ํ’ˆ์งˆ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ  ๋งŽ์€ ์ œํ’ˆ์˜ ๋น„์šฉ๊ณผ ์ถœ์‹œ ์‹œ๊ฐ„์„ ๋ชจ๋‘ ์ค„์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋น„๋‰ดํ„ด ์œ ์ฒด

ํ˜ˆ์•ก, ์ผ€์ฒฉ, ์น˜์•ฝ, ์ƒดํ‘ธ, ํŽ˜์ธํŠธ, ๋กœ์…˜๊ณผ ๊ฐ™์€ ๋น„๋‰ดํ„ด ์œ ์ฒด๋Š” ๋‹ค์–‘ํ•œ ์ ๋„๋ฅผ ๊ฐ€์ง„ ๋ณต์žกํ•œ ์œ ๋™ํ•™์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.  FLOW-3D  ๋Š” ๋ณ€ํ˜• ๋ฐ/๋˜๋Š” ์˜จ๋„์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๋Š” ๋น„๋‰ดํ„ด ์ ๋„๋ฅผ ๊ฐ€์ง„ ์ด๋Ÿฌํ•œ ์œ ์ฒด๋ฅผ ๋ชจ๋ธ๋งํ•ฉ๋‹ˆ๋‹ค. ์ „๋‹จ ๋ฐ ์˜จ๋„์— ๋”ฐ๋ฅธ ์ ๋„๋Š” Carreau, ๊ฑฐ๋“ญ์ œ๊ณฑ ๋ฒ•์น™ ํ•จ์ˆ˜ ๋˜๋Š” ๋‹จ์ˆœํžˆ ํ‘œ ํ˜•์‹์˜ ์ž…๋ ฅ์„ ํ†ตํ•ด ์„ค๋ช…๋ฉ๋‹ˆ๋‹ค. ์ผ๋ถ€ ํด๋ฆฌ๋จธ, ์„ธ๋ผ๋ฏน ๋ฐ ๋ฐ˜๊ณ ์ฒด ๊ธˆ์†์˜ ํŠน์ง•์ธ ์‹œ๊ฐ„ ์ข…์† ๋˜๋Š” ํ‹ฑ์†ŒํŠธ๋กœํ”ผ ๊ฑฐ๋™๋„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

ํ•ธ๋“œ ๋กœ์…˜ ํŽŒํ”„๋Š” ์ข…์ข… ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ์„ค๊ณ„ ๋ฌธ์ œ์™€ ๊ด€๋ จ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ํŽŒํ”„๊ฐ€ ๊ณต๊ธฐ ๊ณต๊ทน์„ ๊ฐ€๋‘์ง€ ์•Š๊ณ  ํšจ๊ณผ์ ์œผ๋กœ ์ž‘๋™ํ•˜๊ณ  ๋กœ์…˜์˜ ์—ฐ์†์ ์ธ ํ๋ฆ„์„ ์ƒ์„ฑํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ์ข‹์€ ์„ค๊ณ„๋Š” ๋…ธ๋ ฅ์ด ๋œ ํ•„์š”ํ•˜๊ณ  ์ด์ƒ์ ์œผ๋กœ๋Š” ๋กœ์…˜์„ ์›ํ•˜๋Š” ๊ณณ์œผ๋กœ ํ–ฅํ•˜๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. FLOW-3D ์˜ ์ด๋™ ๊ฐ์ฒด ๋ชจ๋ธ์€ ๋…ธ์ฆ์ด ์•„๋ž˜๋กœ ๋ˆŒ๋ฆฌ๋Š” ๊ฒƒ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜์—ฌ ์ €์žฅ์†Œ์˜ ๋กœ์…˜์„ ๊ฐ€์••ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋กœ์…˜์˜ ์••๋ ฅ๊ณผ ๋กœ์…˜์„ ์ถ”์ถœํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ํž˜์„ ์—ฐ๊ตฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฌ๋Ÿฌ ์„ค๊ณ„ ๋ณ€์ˆ˜๋Š” ๋™์ผํ•œ ๊ณ ์ • ๊ตฌ์กฐ ๋ฉ”์‹œ ๋‚ด์—์„œ ์‰ฝ๊ฒŒ ๋ถ„์„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋‹ค๊ณต์„ฑ ์žฌ๋ฃŒ

๋‹ค๊ณต์„ฑ ๋งค์ฒด์—์„œ ์œ ์ฒด์˜ ์ด๋™์— ๋Œ€ํ•œ ์ˆ˜์น˜ ๋ชจ๋ธ๋ง์€ ์–ด๋ ค์šธ ์ˆ˜ ์žˆ์ง€๋งŒ  FLOW-3D ์—๋Š” ๋‹ค๊ณต์„ฑ ์žฌ๋ฃŒ์™€ ๊ด€๋ จ๋œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ์œ ์šฉํ•œ ๊ธฐ๋Šฅ์ด ๋งŽ์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. FAVORโ„ข ๊ธฐ์ˆ ์—๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ์—ฐ์†์ ์ธ ๋‹ค๊ณต์„ฑ ๋งค์ฒด๋ฅผ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๋‹ค๊ณต์„ฑ ๋ณ€์ˆ˜๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.  FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ์‚ฌ์šฉ์ž๊ฐ€ ํฌํ™” ๋ฐ ๋ถˆํฌํ™” ํ๋ฆ„ ์กฐ๊ฑด์„ ๋ชจ๋‘ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฑฐ๋“ญ์ œ๊ณฑ ๋ฒ•์น™ ๊ด€๊ณ„๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ๋ถˆํฌํ™” ํ๋ฆ„ ์กฐ๊ฑด์—์„œ ๋ชจ์„ธ๊ด€ ์••๋ ฅ ๊ณผ ํฌํ™”  ์‚ฌ์ด์˜ ๋น„์„ ํ˜• ๊ด€๊ณ„๋ฅผ ๋ชจ๋ธ๋ง  ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ณ„๋„์˜ ์ถฉ์ „ ๋ฐ ๋ฐฐ์ˆ˜ ๊ณก์„ ์„ ์‚ฌ์šฉํ•˜์—ฌ ํžˆ์Šคํ…Œ๋ฆฌ์‹œ์Šค ํ˜„์ƒ์„ ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์„œ๋กœ ์ง์ ‘ ์ ‘์ด‰ํ•˜๋Š” ๊ฒฝ์šฐ์—๋„ ์„œ๋กœ ๋‹ค๋ฅธ ๋‹ค๊ณต์„ฑ, ํˆฌ๊ณผ์„ฑ ๋ฐ ์Šต์œค์„ฑ ์†์„ฑ์„ ์„œ๋กœ ๋‹ค๋ฅธ ์žฅ์• ๋ฌผ์— ํ• ๋‹นํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํˆฌ๊ณผ์„ฑ์€ ํ๋ฆ„ ๋ฐฉํ–ฅ์— ๋”ฐ๋ผ ์ง€์ •ํ•  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์‚ฌ์šฉ์ž๊ฐ€ ๋‹ค๊ณต์„ฑ ๋งค์ฒด์˜ ์ด๋ฐฉ์„ฑ ๋™์ž‘์„ ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์œ ์ฒด์™€ ๋‹ค๊ณต์„ฑ ๋งค์ฒด ๊ฐ„์˜ ์—ด ์ „๋‹ฌ์„ ๊ณ ๋ คํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋ถ„๋ฌด

์†Œ์šฉ๋Œ์ด ๋ถ„๋ฌด ๋…ธ์ฆ์€ ํ™”ํ•™ ์„ธ์ •์ œ, ์˜์•ฝํ’ˆ ๋ฐ ์—ฐ๋ฃŒ์—์„œ ์•ก์ฒด๋ฅผ ๋ถ„์‚ฌํ•˜๋Š” ์ผ๋ฐ˜์ ์ธ ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ์•ก์ฒด๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ๋ถ„๋ฌดํ•˜๋ ค๋ฉด ์ผ๋ฐ˜์ ์œผ๋กœ ๋…ธ์ฆ๋กœ ์นจํˆฌํ•˜๋Š” ๊ณต๊ธฐ ์ฝ”์–ด๋ฅผ ํ˜•์„ฑํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. CFD๋Š” ์ตœ์ ์˜ ๋ถ„๋ฌด ์ฝ˜์— ๋Œ€ํ•œ ๊ธฐํ•˜ํ•™, ์†Œ์šฉ๋Œ์ด ์†๋„ ๋ฐ ์œ ์ฒด ํŠน์„ฑ์˜ ์˜ํ–ฅ์„ ํƒ์ƒ‰ํ•˜๋Š” ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค.

์ด ์˜ˆ์—์„œ 2์ฐจ์› ์ถ•๋Œ€์นญ ์†Œ์šฉ๋Œ์ด ํ๋ฆ„์ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋Œ€์นญ ์ถ•์„ ๋”ฐ๋ผ ๊ณต๊ธฐ ์ฝ”์–ด๊ฐ€ ๋…ธ์ฆ์˜ ์ „์ฒด ๊ธธ์ด๋ฅผ ๊ฑฐ์˜ ๊ด€ํ†ตํ–ˆ์Šต๋‹ˆ๋‹ค. ์™ผ์ชฝ ํ”Œ๋กฏ์€ ํ‰๋ฉด์—์„œ ์†๋„ ๋ถ„ํฌ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๋ฒกํ„ฐ๊ฐ€ ์žˆ๋Š” ์••๋ ฅ ๋ถ„ํฌ์ž…๋‹ˆ๋‹ค. ์˜ค๋ฅธ์ชฝ ํ”Œ๋กฏ์€ ์†๋„์˜ ์†Œ์šฉ๋Œ์ด ๊ตฌ์„ฑ ์š”์†Œ๋กœ ์ฑ„์ƒ‰๋˜์–ด ์žˆ์œผ๋ฉฐ ๋นจ๊ฐ„์ƒ‰์€ ๋” ๋†’์€ ๊ฐ’์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.

๋ถ„๋ฌด ์ฝ˜์˜ ๊ทœ๋ชจ์™€ ์ž…์ž ํฌ๊ธฐ๊ฐ€ ๋„ˆ๋ฌด ๊ด‘๋ฒ”์œ„ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ถ„๋ฌด์˜ ์™„์ „ํ•œ ๋ถ„๋ฌด๋ฅผ ์ง์ ‘ ๊ณ„์‚ฐํ•˜๋Š” ๊ฒƒ์€ ๋ถˆ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ๋ถ„๋ฌด๋Š” ์™ธ๋ถ€ ๊ต๋ž€, ๋…ธ์ฆ์˜ ๋ฏธ์„ธํ•œ ๊ฒฐํ•จ ๋ฐ ๊ธฐํƒ€ ์˜ํ–ฅ๊ณผ ๋ฐ€์ ‘ํ•˜๊ฒŒ ๊ด€๋ จ๋œ ํ˜ผ๋ž€์Šค๋Ÿฌ์šด ํ”„๋กœ์„ธ์Šค์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋…ธ์ฆ์„ ๋– ๋‚  ๋•Œ ๋ถ„๋ฌด ์ฝ˜์˜ ํŠน์„ฑ(์˜ˆ: ๋ฒฝ ๋‘๊ป˜, ์ฝ˜ ๊ฐ๋„, ์ถ• ๋ฐ ๋ฐฉ์œ„ ์†๋„)์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋‹ค๋ฉด ์ด๋Ÿฌํ•œ ์œ ํ˜•์˜ ํ๋ฆ„ ์žฅ์น˜๋ฅผ ์ตœ์ ํ™”ํ•˜๋Š” ๋ฐ ํฐ ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค.

์†Œ์šฉ๋Œ์ด ์Šคํ”„๋ ˆ์ด ๋…ธ์ฆ
์†Œ์šฉ๋Œ์ด ๋ถ„๋ฌด ๋…ธ์ฆ์˜ FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜

Products

์ž์œ  ํ‘œ๋ฉด ํ๋ฆ„์€ ๊ฐ€์ •๊ณผ ์‚ฌ๋ฌด์‹ค ํ™˜๊ฒฝ ๋ชจ๋‘์—์„œ ์‚ฌ์šฉ๋˜๋Š” ์†Œ๋น„์ž ์ œํ’ˆ์˜ ์„ค๊ณ„ ๋ฐ ์ œ์กฐ์—์„œ ์ผ๋ฐ˜์ ์ž…๋‹ˆ๋‹ค.

์˜ˆ๋ฅผ ๋“ค์–ด, ๋ณ‘ ์ฑ„์šฐ๊ธฐ๋Š” ๋งค์ผ ๋Œ€๊ทœ๋ชจ๋กœ ์ง„ํ–‰๋˜๋Š” ํ”„๋กœ์„ธ์Šค์ž…๋‹ˆ๋‹ค. ์ƒ์‚ฐ ์†๋„๋ฅผ ์ตœ๋Œ€ํ™”ํ•˜๋ฉด์„œ ๋‚ญ๋น„๋ฅผ ์ตœ์†Œํ™”ํ•˜๋„๋ก ์ด๋Ÿฌํ•œ ํ”„๋กœ์„ธ์Šค๋ฅผ ์„ค๊ณ„ํ•˜๋ฉด ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ์ƒ๋‹นํ•œ ๋น„์šฉ ์ ˆ๊ฐ์œผ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D๋Š” ๋˜ํ•œ ์Šคํ”„๋ ˆ์ด ๋…ธ์ฆ์„ ์„ค๊ณ„ํ•˜๊ณ  ๋‹ค๊ณต์„ฑ ์žฌ๋ฃŒ ๋ฐ ๊ธฐํƒ€ ์†Œ๋น„์žฌ ๊ตฌ์„ฑ ์š”์†Œ์˜ ํก์ˆ˜ ๊ธฐ๋Šฅ์„ ๋ชจ๋ธ๋งํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ณต๊ธฐ ํ˜ผ์ž…, ๋‹ค๊ณต์„ฑ ๋งค์งˆ ๋ฐ ํ‘œ๋ฉด ์žฅ๋ ฅ์„ ํฌํ•จํ•œ FLOW-3D์˜ ๊ณ ๊ธ‰ ๋‹ค์ค‘ ๋ฌผ๋ฆฌ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜๋ฉด ์†Œ๋น„์ž ์ œํ’ˆ ์„ค๊ณ„๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ์ตœ์ ํ™” ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


๊ด€๋ จ ๊ธฐ์ˆ ์ž๋ฃŒ

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, ...
The Fastest Laptops for 2024

FLOW-3D ์ˆ˜์น˜ํ•ด์„์šฉ ๋…ธํŠธ๋ถ ์„ ํƒ ๊ฐ€์ด๋“œ

2024๋…„ ๊ฐ€์žฅ ๋น ๋ฅธ ๋…ธํŠธ๋ถ PCMag์ด ํ…Œ์ŠคํŠธํ•˜๋Š” ๋ฐฉ๋ฒ• ์†Œ๊ฐœ : ๊ธฐ์‚ฌ ์›๋ณธ ์ถœ์ฒ˜: https://www.pcmag.com/picks/the-fastest-laptops CFD๋ฅผ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•œ ๋…ธํŠธ๋ถ ์„ ์ • ๊ธฐ์ค€์€ ๋ณ„๋„๋กœ ...
Figure 1. US bath modified as an EC reactor

๋ฌผ์—์„œ ์ดˆ์ŒํŒŒ๋ฅผ ์ด์šฉํ•œ ์ „๊ธฐํ™”ํ•™์  ์ŠคํŠธ๋ก ํŠฌ ์ œ๊ฑฐ์— ๋Œ€ํ•œ ๋‹จ์‹œ๊ฐ„ ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

์ „๊ธฐํ™”ํ•™ ๋ฐ˜์‘๊ธฐ์— ๋Œ€ํ•œ 3D ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ ์ธก์ •์„ ์‚ฌ์šฉํ•˜์—ฌ ๋™์‹œ ์ดˆ์ŒํŒŒ ์ฒ˜๋ฆฌ ์œ ๋ฌด์— ๊ด€๊ณ„์—†์ด ๋ฌผ์—์„œ ์ŠคํŠธ๋ก ํŠฌ ์ œ๊ฑฐ ํšจ์œจ์„ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ดˆ์ŒํŒŒ๋Š” ...
Figure 1. Three-dimensional finite element model of local scouring of semi-exposed submarine cable.

๋ฐ˜๋…ธ์ถœ ํ•ด์ €์ผ€์ด๋ธ”์˜ ๊ตญ๋ถ€ ์ •๋ จ๊ณผ์ • ๋ฐ ์˜ํ–ฅ์ธ์ž์— ๋Œ€ํ•œ ์ˆ˜์น˜์  ์—ฐ๊ตฌ

Numerical Study of the Local Scouring Process and Influencing Factors of Semi-Exposed Submarine Cables byย Qishun Li,Yanpeng Haoย *,Peng Zhang,Haotian Tan,Wanxing Tian,Linhao ...
Validity evaluation of popular liquid-vapor phase change models for cryogenic self-pressurization process

๊ทน์ €์˜จ ์ž์ฒด ๊ฐ€์•• ๊ณต์ •์„ ์œ„ํ•œ ์ธ๊ธฐ ์žˆ๋Š” ์•ก์ฒด-์ฆ๊ธฐ ์ƒ ๋ณ€ํ™” ๋ชจ๋ธ์˜ ํƒ€๋‹น์„ฑ ํ‰๊ฐ€

์•ก์ฒด-์ฆ๊ธฐ ์ƒ ๋ณ€ํ™” ๋ชจ๋ธ์€ ๋ฐ€ํ๋œ ์šฉ๊ธฐ์˜ ์ž์ฒด ๊ฐ€์•• ํ”„๋กœ์„ธ์Šค ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ๋งค์šฐ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. Hertz-Knudsen ๊ด€๊ณ„, ์—๋„ˆ์ง€ ์ ํ”„ ๋ชจ๋ธ ๋ฐ ...
Figure 7. Comparison of Archimedean screw power performances P(W) for Q = 0.15 m3 /s and 0.30m3 /s and angles of orientation 22ฮฟ & 32ฮฟ .

CFD Simulations of Tubular Archimedean Screw Turbines Harnessing the Small Hydropotential of Greek Watercourses

Alkistis Stergiopoulou 1, Vassilios Stergiopoulos 21 Institut fรผr Wasserwirtschaft, Hydrologie und Konstruktiven Wasserbau, B.O.K.U. University, Muthgasse 18, 1190 Vienna, (actually ...
Figure 1: Drawing of the experimental set-up, Figure 2: Experimental tank with locations of temperature sensors

์‹คํ—˜ ๋ฐ ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ๊ธฐ๋ฐ˜ํ•œ ๊ทน์ €์˜จ ์ถ”์ง„์ œ ํƒฑํฌ ๊ฐ€์•• ๋ถ„์„

Analyses of Cryogenic Propellant Tank Pressurization based upon Experiments and Numerical SimulationsCarina Ludwig? and Michael Dreyer***DLR - German Aerospace Center, ...
Figure 1: Mold drawings

3D Flow and Temperature Analysis of Filling a Plutonium Mold

ํ”Œ๋ฃจํ† ๋Š„ ์ฃผํ˜• ์ถฉ์ „์˜ 3D ์œ ๋™ ๋ฐ ์˜จ๋„ ๋ถ„์„ Authors: Orenstein, Nicholas P. [1] Publication Date:2013-07-24Research Org.: Los Alamos National Lab ...
Fig. 6 LH2 isotherms at 1020 s.

์•ก์ฒด-์ˆ˜์†Œ ํƒฑํฌ๋ฅผ ์œ„ํ•œ ๊ฒฐํ•ฉ๋œ ์—ด์—ญํ•™-์œ ์ฒด-์—ญํ•™ ์†”๋ฃจ์…˜

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 ...
Overflow water film

Numerical Simulation Study on Characteristics of Airtight Water Film with Flow Deflectors

์œ ๋™ ํŽธํ–ฅ๊ธฐ๊ฐ€ ์žˆ๋Š” ๋ฐ€ํ์ˆ˜๋ง‰์˜ ํŠน์„ฑ์— ๊ด€ํ•œ ์ˆ˜์น˜ํ•ด์„ ์—ฐ๊ตฌ

Zhang Weikang, Gong Hongwei

Abstract


In practical use, there is shrinkage in the width direction in existing overflow water film. This study introduces the ” flow deflectors ” to solve the problem of discontinuous water film. According to the principle of the experimental devices, the model was established by FLOW-3D software and the corresponding boundary conditions were set up, the minimum size of the grid was 0.25mmย ร—ย 0.25mmย ร—ย 0.25mm. The film model was investigated under ten working conditions with three factors. Through the analysis of the distribution curves of velocities and thickness, impacts of unit width flux, tank width and the distance between the flow deflectors on the velocity and thickness of the liquid film were obtained. The results indicated that the water film was able to keep continuous and airtight with flow deflectors. The variation law of water film with unit width flux was obtained and a correlation formula was proposed according to Nusselt correlation. And, it was found that the tank width has little influence on the water film itself. The “dry zones” were also founded on the film when the distance between flow deflectors increased.

References


Gong H, Jiang J, Qiu J, Jiang R and Zhang W 2016 Theoretical and Experimental Study on the Water Curtain Shape and Mechanical Relationship of the Smoke Control System Advances in Engineering Research 500-7
Gong H, Jiang J, Zhang W and Guan Y 2017 Theory and Simulation of the Relationship between Smoke-proof Water Curtain’s Tank Structure and Flow Non-uniformity DEStech Transactions on Environment, Energy and Earth Science iceepe 257-63
ZHENG Li, QIAN Zhongdong, CAO Zhixian and TAN Guangming 2009 Comparison of computed result for dam over-topping flow with two 3D models Engineering Journal of Wuhan University 06 758-63
Hartley DE and Murgatroyd W 1964 Criteria for the break-up of thin liquid layers flowing isothermally over solid surfaces International Journal of Heat and Mass Transfer 9 1003-15
QIN Wei, LIU Jianhua, WENG Zemin and JIANG Zhangyan 1997 Characteristics of Interfacial Surface Wave of Free-Falling Liquid Film JOURNAL OF JIMEI NAVIGATION INSTITUTE 02 3-8
Ye X, Yan W, Jiang Z and Li C 2002 Hydrodynamics of Free-Falling Turbulent Wavy Films and Implications for Enhanced Heat Transfer Heat Transfer Engineering 1 48-60

Coating_image

Template-Free Scalable Fabrication of Linearly Periodic Microstructures by Controlling Ribbing Defects Phenomenon in Forward Roll Coating for Multifunctional Applications

๋‹ค๊ธฐ๋Šฅ ์‘์šฉ์„ ์œ„ํ•œ Forward Roll Coating ๊ณต์ •์˜ ๋ฆฌ๋ธŒ ๊ฒฝํ•จ ํ˜•์ƒ ์ œ์–ด๋ฅผ ํ†ตํ•œ ์„ ํ˜• ์ฃผ๊ธฐ์  ๋ฏธ์„ธ๊ตฌ์กฐ๋ฌผ์˜ ํ…œํ”Œ๋ฆฟ ํ”„๋ฆฌ ์ œ์ž‘

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, and Jong Eun Ryu

Abstract


Periodic micro/nanoscale structures from nature have inspired the scientific community to adopt surface design for various applications, including superhydrophobic drag reduction. One primary concern of practical applications of such periodic microstructures remains the scalability of conventional microfabrication technologies. This study demonstrates a simple template-free scalable manufacturing technique to fabricate periodic microstructures by controlling the ribbing defects in the forward roll coating. Viscoelastic composite coating materials are designed for roll-coating using carbon nanotubes (CNT) and polydimethylsiloxane (PDMS), which helps achieve a controllable ribbing with a periodicity of 114โ€“700 ยตm. Depending on the process parameters, the patterned microstructures transition from the linear alignment to a random structure. The periodic microstructure enables hydrophobicity as the water contact angles of the samples ranged from 128ยฐ to 158ยฐ. When towed in a static water pool, a model boat coated with the microstructure film shows 7%โ€“8% faster speed than the boat with a flat PDMS film. The CNT addition shows both mechanical and electrical properties improvement. In a mechanical scratch test, the cohesive failure of the CNT-PDMS film occurs in โ‰ˆ90% higher force than bare PDMS. Moreover, the nonconductive bare PDMS shows sheet resistance of 747.84โ€“22.66 ฮฉ โ–กโˆ’1 with 0.5 to 2.5 wt% CNT inclusion.

 

Keywords


multifunctional surfaces, periodic microtrenches, ribbing instabilities,roll coating, scalable manufacturing

 

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Omega-Liutex Method

Prediction of the Vortex Evolution and Influence Analysis of Rough Bed in a Hydraulic Jump with the Omega-Liutex Method

Omega-Luitex๋ฒ•์„ ์ด์šฉํ•œ ์ˆ˜๋ ฅ์ ํ”„ ๋ฐœ์ƒ์‹œ ๋Ÿฌํ”„ ๋ฒ ๋“œ์˜ ์™€๋ฅ˜ ์ง„ํ™” ์˜ˆ์ธก ๋ฐ ์˜ํ–ฅ ๋ถ„์„

Cong Trieu Tran, Cong Ty Trinh

Abstract

The dissipation of energy downstream of hydropower projects is a significant issue. The hydraulic jump is exciting and widely applied in practice to dissipate energy. Many hydraulic jump characteristics have been studied, such as length of jump Lj and sequent flow depth y2. However, understanding the evolution of the vortex structure in the hydraulic jump shows a significant challenge. This study uses the RNG k-e turbulence model to simulate hydraulic jumps on the rough bed. The Omega-Liutex method is compared with Q-criterion for capturing vortex structure in the hydraulic jump. The formation, development, and shedding of the vortex structure at the rough bed in the hydraulic jumper are analyzed. The vortex forms and rapidly reduces strength on the rough bed, resulting in fast dissipation of energy. At the rough block rows 2nd and 3rd, the vortex forms a vortex rope that moves downstream and then breaks. The vortex-shedding region represents a significant energy attenuation of the flow. Therefore, the rough bed dissipates kinetic energy well. Adding reliability to the vortex determined by the Liutex method, the vorticity transport equation is used to compare the vorticity distribution with the Liutex distribution. The results show a further comprehension of the hydraulic jump phenomenon and its energy dissipation.

Keywords

flow-3D; hydraulic Jump; omega-liutex method; vortex breakdown

References

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[7] Gao, Y. & Liu, C. (2018). Rortex and comparison with eigenvalue-based vortex identification criteria. Physics of Fluids, 30(8), 085107. https://doi.org/10.1063/1.5040112
[8] Liu, C., Gao, Y., Tian, S., & Dong, X. (2018). Rortex – A new vortex vector definition and vorticity tensor and vector decompositions. Physics of Fluids, 30(3), 035103. https://doi.org/10.1063/1.5023001
[9] Liu, C. et al. (2019). Third generation of vortex identification methods: Omega and Liutex/Rortex based systems. Journal of Hydrodynamics, 31(2), 205-223. https://doi.org/10.1007/s42241-019-0022-4
[10] Liu, C., Wang, Y., Yang, Y. et al (2016). New omega vortex identification method. Science China Physics, Mechanics & Astronomy, (8), 56-64. https://doi.org/10.1007/s11433-016-0022-6
[11] Tran, C. T. & Pham, D. C. (2022). Application of Liutex and Entropy Production to Analyze the Influence of Vortex Rope in the Francis-99 Turbine Draft Tube. Tehniฤki vjesnik, 29(4), 1177-1183. https://doi.org/10.17559/TV-20210821070801
[12] Dong, X., Gao, Y., & Liu, C. (2019). New normalized Rortex/vortex identification method. Physics of Fluids, 31(1), 011701. https://doi.org/10.1063/1.5066016
[13] Wang, L., Zheng, Z., Cai, W. et al. (2019). Extension Omega and Omega-Liutex methods applied to identify vortex structures in viscoelastic turbulent flow. Journal of Hydrodynamics, 31(5), 911-921. https://doi.org/10.1007/s42241-019-0045-x
[14] Xu, H., Cai, X., & Liu, C. (2019). Liutex (vortex) core definition and automatic identification for turbulence vortex structures. Journal of Hydrodynamics, 31(5), 857-863. https://doi.org/10.1007/s42241-019-0066-5
[15] Tran, C. T. et al. (2020). Prediction of the precessing vortex core in the Francis-99 draft tube under off-design conditions by using Liutex/Rortex method. Journal of Hydrodynamics, 32, 623-628. https://doi.org/10.1007/s42241-020-0031-3
[16] Liu, C. et al. (2019). A Liutex based definition of vortex axis line. arXiv preprint arXiv:1904.10094. https://doi.org/10.48550/arXiv.1904.10094
[17] Samadi-Boroujeni, H. et al. (2013). Effect of triangular corrugated beds on the hydraulic jump characteristics. Canadian Journal of Civil Engineering, 40(9), 841-847. https://doi.org/10.1139/cjce-2012-0019
[18] Ghaderi, A. et al. (2020). Characteristics of free and submerged hydraulic jumps over different macroroughnesses. Journal of Hydroinformatics, 22(6), 1554-1572. https://doi.org/10.2166/hydro.2020.298
[19] Wu, Z. et al. (2021). Analysis of the influence of transverse groove structure on the flow of a flat-plate surface based on Liutex parameters. Engineering Applications of Computational Fluid Mechanics, 15(1), 1282-1297. https://doi.org/10.1080/19942060.2021.1968955
[20] Ji, B., et al. (2014). Numerical simulation of threedimensional cavitation shedding dynamics with special emphasis on cavitation – vortex interaction. Ocean Engineering, 87, 64-77. https://doi.org/10.1016/j.oceaneng.2014.05.005
[21] Tran, C., Bin, J., & Long, X. (2019). Simulation and Analysis of Cavitating Flow in the Draft Tube of the Francis Turbine with Splitter Blades at Off-Design Condition. Tehnicki vjesnik – Technical Gazette, 26(6). https://doi.org/10.17559/TV-20190316042929
Image_Sacrificial_Pier

Sacrificial Piles as Scour Countermeasures in River Bridges A Numerical Study using FLOW-3D

ํ•˜์ฒœ ๊ต๋Ÿ‰์˜ ํŒŒ๊ดด ๋Œ€์ฑ…์œผ๋กœ์„œ ํฌ์ƒํŒŒ์ผ์— ๋Œ€ํ•œ FLOW-3D๋ฅผ ์ด์šฉํ•œ ์ˆ˜์น˜ ์—ฐ๊ตฌ

Mohammad Nazari-Sharabian, Aliasghar Nazari-Sharabian, Moses Karakouzian, Mehrdad Karami

Abstract

Scour is defined as the erosive action of flowing water, as well as the excavating and carrying away materials from beds and banks of streams, and from the vicinity of bridge foundations, which is one of the main causes of river bridge failures. In the present study, implementing a numerical approach, and using the FLOW-3D model that works based on the finite volume method (FVM), the applicability of using sacrificial piles in different configurations in front of a bridge pier as countermeasures against scouring is investigated. In this regard, the numerical model was calibrated based on an experimental study on scouring around an unprotected circular river bridge pier. In simulations, the bridge pier and sacrificial piles were circular, and the riverbed was sandy. In all scenarios, the flow rate was constant and equal to 45 L/s. Furthermore, one to five sacrificial piles were placed in front of the pier in different locations for each scenario. Implementation of the sacrificial piles proved to be effective in substantially reducing the scour depths. The results showed that although scouring occurred in the entire area around the pier, the maximum and minimum scour depths were observed on the sides (using three sacrificial piles located upstream, at three and five times the pier diameter) and in the back (using five sacrificial piles located upstream, at four, six, and eight times the pier diameter) of the pier. Moreover, among scenarios where single piles were installed in front of the pier, installing them at a distance of five times the pier diameter was more effective in reducing scour depths. For other scenarios, in which three piles and five piles were installed, distances of six and four times the pier diameter for the three piles scenario, and four, six, and eight times the pier diameter for the five piles scenario were most effective.

 

Keywords

Scouring; River Bridges; Sacrificial Piles; Finite Volume Method (FVM); FLOW-3D.

 

References


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DOI:ย 10.28991/cej-2020-03091531

Computational Fluid Dynamics Study of Perforated Monopiles

Computational Fluid Dynamics Study of Perforated Monopiles

Mary Kathryn Walker
Florida Institute of Technology, mwalker2022@my.fit.edu

Robert J. Weaver, Ph.D.
Associate Professor
Ocean Engineering and Marine Sciences
Major Advisor


Chungkuk Jin, Ph.D.
Assistant Professor
Ocean Engineering and Marine Sciences


Kelli Z. Hunsucker, Ph.D.
Assistant Professor
Ocean Engineering and Marine Sciences


Richard B. Aronson, Ph.D.
Professor and Department Head
Ocean Engineering and Marine Sciences

Abstract

๋ชจ๋…ธํŒŒ์ผ์€ ํ•ด์ƒ ํ’๋ ฅ ํ„ฐ๋นˆ ๊ฑด์„ค์— ์‚ฌ์šฉ๋˜๋ฉฐ ์ผ๋ฐ˜์ ์œผ๋กœ ์„ค๊ณ„ ์ˆ˜๋ช…์€ 25~50๋…„์ž…๋‹ˆ๋‹ค. ๋ชจ๋…ธํŒŒ์ผ์€ ์ˆ˜๋ช… ์ฃผ๊ธฐ ๋™์•ˆ ๋ถ€์‹์„ฑ ์—ผ์ˆ˜ ํ™˜๊ฒฝ์— ๋…ธ์ถœ๋˜์–ด ๊ตฌ์กฐ๋ฌผ์„ ๋น ๋ฅด๊ฒŒ ๋ถ„ํ•ดํ•˜๋Š” ์ „๊ธฐํ™”ํ•™์  ์‚ฐํ™” ๊ณต์ •์„ ์šฉ์ดํ•˜๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ์ด ๊ณต์ •์€ ๋ชจ๋…ธํŒŒ์ผ์„ ๋ณดํ˜ธ ์žฅ๋ฒฝ์œผ๋กœ ์ฝ”ํŒ…ํ•˜๊ณ  ์Œ๊ทน ๋ณดํ˜ธ ๊ธฐ์ˆ ์„ ๊ตฌํ˜„ํ•˜์—ฌ ์™„ํ™”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์—ญ์‚ฌ์ ์œผ๋กœ ๋ชจ๋…ธํŒŒ์ผ ์„ค๊ณ„์ž๋Š” ํŒŒ์ผ ๋‚ด๋ถ€๊ฐ€ ์™„์ „ํžˆ ๋ฐ€๋ด‰๋˜๊ณ  ์ „๊ธฐํ™”ํ•™์  ๋ถ€์‹ ๊ณต์ •์ด ๊ฒฐ๊ตญ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ๋ชจ๋“  ์‚ฐ์†Œ๋ฅผ ์†Œ๋ชจํ•˜์—ฌ ๋ฐ˜์‘์„ ์ค‘๋‹จ์‹œํ‚ฌ ๊ฒƒ์ด๋ผ๊ณ  ๊ฐ€์ •ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋„๊ด€์„ ์œ„ํ•ด ํŒŒ์ผ ๋ฒฝ์— ๋งŒ๋“  ๊ด€ํ†ต๋ถ€๋Š” ์ข…์ข… ๋ˆ„์ถœ๋˜์–ด ์‹ ์„ ํ•˜๊ณ  ์‚ฐ์†Œํ™”๋œ ๋ฌผ์ด ๋‚ด๋ถ€ ๊ณต๊ฐ„์œผ๋กœ ์œ ์ž…๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

ํ‘œ์ค€ ๋ถ€์‹ ๋ฐฉ์ง€ ๊ธฐ์ˆ ์„ ๋ณด๋‹ค ํšจ๊ณผ์ ์œผ๋กœ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์‚ฐ์†Œํ™”๋œ ํ™˜๊ฒฝ์œผ๋กœ ๋‚ด๋ถ€ ๊ณต๊ฐ„์„ ์žฌ๊ณ ํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ชจ๋…ธํŒŒ์ผ ์„ค๊ณ„๊ฐ€ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ƒˆ๋กœ์šด ๋ชจ๋…ธํŒŒ์ผ์€ ๊ฐ„์กฐ๋Œ€ ๋˜๋Š” ์กฐ๊ฐ„๋Œ€ ์ˆ˜์ค€์—์„œ ๋ฒฝ์— ์ฒœ๊ณต์ด ์žˆ์–ด ์‹ ์„ ํ•˜๊ณ  ์‚ฐ์†Œํ™”๋œ ๋ฌผ์ด ๊ตฌ์กฐ๋ฌผ์„ ํ†ตํ•ด ํ๋ฅผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ์ฒœ๊ณต์€ ๋˜ํ•œ ๊ตฌ์กฐ๋ฌผ์˜ ํŒŒ๋„ ํ•˜์ค‘์„ ์ค„์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์œ ์ฒด ์—ญํ•™์  ํ•˜์ค‘ ๊ฐ์†Œ์˜ ํฌ๊ธฐ๋Š” ์ฒœ๊ณต์˜ ํฌ๊ธฐ์™€ ๋ฐฉํ–ฅ์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง‘๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ฒœ๊ณต์˜ ํฌ๊ธฐ์— ๋”ฐ๋ฅธ ๋ชจ๋…ธํŒŒ์ผ์˜ ํž˜ ๊ฐ์†Œ ๋ถ„์„์—์„œ ์ „์‚ฐ ์œ ์ฒด ์—ญํ•™(CFD)์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ์—ฐ๊ตฌํ•˜๊ณ  ์ฃผ์–ด์ง„ ํŒŒ๋„์˜ ์ ‘๊ทผ ๊ฐ๋„ ๋ณ€ํ™”์˜ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ–ˆ์Šต๋‹ˆ๋‹ค.

๋ชจ๋…ธํŒŒ์ผ์˜ ํž˜ ๊ฐ์†Œ๋ฅผ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด ์ด๋ก ์  3D ๋ชจ๋ธ์„ ์ œ์ž‘ํ•˜์—ฌ FLOW-3Dยฎ HYDRO๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ…Œ์ŠคํŠธํ–ˆ์œผ๋ฉฐ, ์ฒœ๊ณต๋˜์ง€ ์•Š์€ ๋ชจ๋…ธํŒŒ์ผ์„ ์ œ์–ด๋กœ ์‚ฌ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ก ์  ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•œ ํ›„, ๋™์ผํ•œ ์ข…๋ฅ˜์˜ ์ฒœ๊ณต์ด ์žˆ๋Š” ๋ฌผ๋ฆฌ์  ์Šค์ผ€์ผ ๋ชจ๋ธ์„ ํŒŒ๋„ ํƒฑํฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ…Œ์ŠคํŠธํ•˜์—ฌ ์ด๋ก ์  ๋ชจ๋ธ์˜ ํƒ€๋‹น์„ฑ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค.

CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์˜ 10% ์ด๋‚ด, ์ด์ „ ์—ฐ๊ตฌ์˜ 5% ์ด๋‚ด์— ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ์„ ๊ฒ€์ฆํ•œ ํ›„, ์ฒœ๊ณต์˜ ํฌ๊ธฐ๊ฐ€ ํŒŒ๋„ ํ•˜์ค‘ ๊ฐ์†Œ์— ๋šœ๋ ทํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์ฃผ์–ด์ง„ ํŒŒ๋„์˜ ์ ‘๊ทผ ๊ฐ๋„์— ๋Œ€ํ•œ ํ…Œ์ŠคํŠธ๋ฅผ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ–ˆ์Šต๋‹ˆ๋‹ค.

์ ‘๊ทผ ๊ฐ๋„์˜ ๋ณ€ํ™”๋Š” ๋ชจ๋…ธํŒŒ์ผ์„ 15ยฐ์”ฉ ํšŒ์ „ํ•˜์—ฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์— ์ œ์‹œ๋œ ๋ฐ์ดํ„ฐ๋Š” ๋ชจ๋…ธํŒŒ์ผ์˜ ๋ฐฉํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์ง€ ์•Š์œผ๋ฉฐ ์ฒœ๊ณต ๋ชจ๋…ธํŒŒ์ผ์˜ ์„ค๊ณ„ ๊ณ ๋ ค ์‚ฌํ•ญ์ด ๋˜์–ด์„œ๋Š” ์•ˆ ๋œ๋‹ค๋Š” ๊ฒƒ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

๋˜ํ•œ ํŒŒ๋„ ํ•˜์ค‘ ๊ฐ์†Œ์™€ ๊ตฌ์กฐ์  ์•ˆ์ •์„ฑ ์‚ฌ์ด์˜ ๊ท ํ˜•์„ ์ฐพ๊ธฐ ์œ„ํ•ด ์ฒœ๊ณต์˜ ํฌ๊ธฐ์™€ ๋ชจ์–‘์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ๊ณ„์†ํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค.

Monopiles are used in the construction of offshore wind turbines and typically have a design life of 25 to 50 years. Over their lifecycle, monopiles are exposed to a corrosive saltwater environment, facilitating a galvanic oxidation process that quickly degrades the structure. This process can be mitigated by coating the monopile in a protective barrier and implementing cathodic protection techniques. Historically, monopile designers assumed the interior of the pile would be completely sealed and the galvanic corrosion process would eventually consume all the available oxygen, halting the reaction. However, penetrations made in the pile wall for conduit often leaked and allowed fresh, oxygenated water to enter the interior space. New monopile designs are being researched that reconsider the interior space as an oxygenated environment where standard corrosion protection techniques can be more effectively applied. These new monopiles have perforations through the wall at intertidal or subtidal levels to allow fresh, oxygenated water to flow through the structure. These perforations can also reduce wave loads on the structure. The magnitude of the hydrodynamic load reduction depends on the size and orientation of the perforations. This research studied the applicability of computational fluid dynamics (CFD) in analysis of force reduction on monopiles in relation to size of a perforation and to analyze the effect of variation in approach angle of a given wave. To determine the force reduction on the monopile, theoretical 3D models were produced and tested using FLOW-3Dยฎ HYDRO with an unperforated monopile used as the control. After the theoretical data was collected, physical scale models with the same variety of perforations were tested using a wave tank to determine the validity of the theoretical models. The CFD simulations were found to be within 10% of the physical models and within 5% of previous research. After the physical and simulated models were validated, it was found that the size of the perforations has a distinct impact on the wave load reduction and testing for differing approach angles of a given wave could be conducted. The variation in approach angle was simulated by rotating the monopile in 15ยฐ increments. The data presented in this paper suggests that the orientation of the monopile is not statistically significant and should not be a design consideration for perforated monopiles. It is also suggested to continue the study on the size and shape of the perforations to find the balance between wave load reduction and structural stability.

Figure 1: Overview sketch of typical monopile (MP) foundation and transition piece (TP) design with an internal j-tube (Hilbert et al., 2011)
Figure 1: Overview sketch of typical monopile (MP) foundation and transition
piece (TP) design with an internal j-tube (Hilbert et al., 2011)

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Numerical Investigation of the Local Scour for Tripod Pile Foundation

Numerical Investigation of the Local Scour for Tripod Pile Foundation

Waqed H. Hassanย |ย Zahraa Mohammad Fadhe*ย |ย Rifqa F. Thiabย |ย Karrar Mahdi
Civil Engineering Department, Faculty of Engineering, University of Warith Al-Anbiyaa, Kerbala 56001, Iraq
Civil Engineering Department, Faculty of Engineering, University of Kerbala, Kerbala 56001, Iraq
Corresponding Author Email:ย Waqed.hammed@uowa.edu.iq

OPEN ACCESS

Abstract: 

This work investigates numerically a local scour moves in irregular waves around tripods. It is constructed and proven to use the numerical model of the seabed-tripod-fluid with an RNG k turbulence model. The present numerical model then examines the flow velocity distribution and scour characteristics. After that, the suggested computational model Flow-3D is a useful tool for analyzing and forecasting the maximum scour development and the flow field in random waves around tripods. The scour values affecting the foundations of the tripod must be studied and calculated, as this phenomenon directly and negatively affects the structure of the structure and its design life. The lower diagonal braces and the main column act as blockages, increasing the flow accelerations underneath them.  This increases the number of particles that are moved, which in turn creates strong scouring in the area. The numerical model has a good agreement with the experimental model, with a maximum percentage of error of 10% between the experimental and numerical models. In addition, Based on dimensional analysis parameters, an empirical equation has been devised to forecast scour depth with flow depth, median size ratio, Keulegan-Carpenter (Kc), Froud number flow, and wave velocity that the results obtained in this research at various flow velocities and flow depths demonstrated that the maximum scour depth rate depended on wave height with rising velocities and decreasing particle sizes (d50) and the scour depth attains its steady-current value for Vw < 0.75. As the Froude number rises, the maximum scour depth will be large.

Keywords: 

local scour, tripod foundation, Flow-3Dโ€‹, waves

1. Introduction

New energy sources have been used by mankind since they become industrialized. The main energy sources have traditionally been timber, coal, oil, and gas, but advances in the science of new energies, such as nuclear energy, have emerged [1, 2]. Clean and renewable energy such as offshore wind has grown significantly during the past few decades. There are numerous different types of foundations regarding offshore wind turbines (OWTs), comprising the tripod, jacket, gravity foundation, suction anchor (or bucket), and monopile [3, 4]. When the water depth is less than 30 meters, Offshore wind farms usually employ the monopile type [4]. Engineers must deal with the wind’s scouring phenomenon turbine foundations when planning and designing wind turbines for an offshore environment [5]. Waves and currents generate scour, this is the erosion of soil near a submerged foundation and at its location [6]. To predict the regional scour depth at a bridge pier, Jalal et al. [7-10] developed an original gene expression algorithm using artificial neural networks. Three monopiles, one main column, and several diagonal braces connecting the monopiles to the main column make up the tripod foundation, which has more complicated shapes than a single pile. The design of the foundation may have an impact on scour depth and scour development since the foundation’s form affects the flow field [11, 12]. Stahlmann [4] conducted several field investigations. He discovered that the main column is where the greatest scour depth occurred. Under the main column is where the maximum scour depth occurs in all experiments. The estimated findings show that higher wave heights correspond to higher flow velocities, indicating that a deeper scour depth is correlated with finer silt granularity [13] recommends as the design value for a single pile. These findings support the assertion that a tripod may cause the seabed to scour more severely than a single pile. The geography of the scour is significantly more influenced by the KC value (Keuleganโ€“Carpenter number)

The capability of computer hardware and software has made computational fluid dynamics (CFD) quite popular to predict the behavior of fluid flow in industrial and environmental applications has increased significantly in recent years [14].

Finding an acceptable piece of land for the turbine’s construction and designing the turbine pile precisely for the local conditions are the biggest challenges. Another concern related to working in a marine environment is the effect of sea waves and currents on turbine piles and foundations. The earth surrounding the turbine’s pile is scoured by the waves, which also render the pile unstable.

In this research, the main objective is to investigate numerically a local scour around tripods in random waves. It is constructed and proven to use the tripod numerical model. The present numerical model is then used to examine the flow velocity distribution and scour characteristics.

2. Numerical Model

To simulate the scouring process around the tripod foundation, the CFD code Flow-3D was employed. By using the fractional area/volume method, it may highlight the intricate boundaries of the solution domain (FAVOR).

This model was tested and validated utilizing data derived experimentally from Schendel et al. [15] and Sumer and Fredsรธe [6]. 200 runs were performed at different values of parameters.

2.1 Momentum equations

The incompressible viscous fluid motion is described by the three RANS equations listed below [16]:

(1)

\frac{\partial u}{\partial t}+\frac{1}{{{V}_{F}}}\left( u{{A}_{x}}\frac{\partial u}{\partial x}+v{{A}_{y}}\frac{\partial u}{\partial y}+w{{A}_{z}}\frac{\partial u}{\partial z} \right)=-\frac{1}{\rho }\frac{\partial p}{\partial x}+{{G}_{x}}+fx

(2)

\frac{\partial v}{\partial t}+\frac{1}{{{V}_{F}}}\left( u{{A}_{x}}\frac{\partial v}{\partial x}+v{{A}_{y}}\frac{\partial v}{\partial y}+w{{A}_{z}}\frac{\partial v}{\partial z} \right)=-\frac{1}{\rho }\frac{\partial p}{\partial y}+{{G}_{y}}+\text{f}y

ย (3)

\frac{\partial w}{\partial t}+\frac{1}{{{V}_{F}}}\left( u{{A}_{x}}\frac{\partial w}{\partial x}+v{{A}_{y}}\frac{\partial w}{\partial y}+w{{A}_{z}}\frac{\partial w}{\partial z} \right)=-\frac{1}{\rho }\frac{\partial p}{\partial z}+{{G}_{z}}+\text{fz}

where, respectively, uv, and w represent the xy, and z flow velocity components; volume fraction (VF), area fraction (AiI=xyz), water density (f), viscous force (fi), and body force (Gi) are all used in the formula.

2.2 Model of turbulence

Several turbulence models would be combined to solve the momentum equations. A two-equation model of turbulence is the RNG k-model, which has a high efficiency and accuracy in computing the near-wall flow field. Therefore, the flow field surrounding tripods was captured using the RNG k-model.

2.3 Model of sediment scour

2.3.1 Induction and deposition

Eq. (4) can be used to determine the particle entrainment lift velocity [17].

(4)

{{u}_{lift,i}}={{\alpha }_{i}}{{n}_{s}}d_{*}^{0.3}{{\left( \theta -{{\theta }_{cr}} \right)}^{1.5}}\sqrt{\frac{\parallel g\parallel {{d}_{i}}\left( {{\rho }_{i}}-{{\rho }_{f}} \right)}{{{\rho }_{f}}}}

ฮฑ๐›ผ  is the Induction parameter, ns the normal vector is parallel to the seafloor, and for the present numerical model, ns=(0,0,1), ฮธ๐œƒcr is the essential Shields variable, g is the accelerated by gravity, di is the size of the particles, ฯi is species density in beds, and dโˆ— The diameter of particles without dimensions; these values can be obtained in Eq. (5).

(5)

{{d}_{*}}={{d}_{i}}{{\left( \frac{\parallel g\parallel {{\rho }_{f}}\left( {{\rho }_{i}}-{{\rho }_{f}} \right)}{\mu _{f}^{2}} \right)}^{1/3}}

ฮผ๐œ‡f is this equation a dynamic viscosity of the fluid. cr was determined from an equation based on Soulsby [18].

(6)

{{\theta }_{cr}}=\frac{0.3}{1+1.2{{d}_{*}}}+0.055\left[ 1-\text{exp}\left( -0.02{{d}_{*}} \right) \right]

The equation was used to determine how quickly sand particles set Eq. (7):

(7)

{{\mathbf{u}}_{\text{nsettling},i}}=\frac{{{v}_{f}}}{{{d}_{i}}}\left[ {{\left( {{10.36}^{2}}+1.049d_{*}^{3} \right)}^{0.5}}-10.36 \right]

vf  stands for fluid kinematic viscosity.

2.3.2 Transportation for bed loads

Van Rijn [19] states that the speed of bed load conveyance was determined as:

(8)

{{~}_{\text{bedload},i}}=\frac{{{q}_{b,i}}}{{{\delta }_{i}}{{c}_{b,i}}{{f}_{b}}}

fb  is the essential particle packing percentage, qbi is the bed load transportation rate, and cb, I the percentage of sand by volume i. These variables can be found in Eq. (9), Eq. (10), fbฮด๐›ฟi the bed load thickness.

(9)

{{q}_{b,i}}=8{{\left[ \parallel g\parallel \left( \frac{{{\rho }_{i}}-{{\rho }_{f}}}{{{\rho }_{f}}} \right)d_{i}^{3} \right]}^{\frac{1}{2}}}

(10)

{{\delta }_{i}}=0.3d_{*}^{0.7}{{\left( \frac{\theta }{{{\theta }_{cr}}}-1 \right)}^{0.5}}{{d}_{i}}

In this paper, after the calibration of numerous trials, the selection of parameters for sediment scour is crucial. Maximum packing fraction is 0.64 with a shields number of 0.05, entrainment coefficient of 0.018, the mass density of 2650, bed load coefficient of 12, and entrainment coefficient of 0.01.

3. Model Setup

To investigate the scour characteristics near tripods in random waves, the seabed-tripod-fluid numerical model was created as shown in Figure 1. The tripod basis, a seabed, and fluid and porous medium were all components of the model. The seabed was 240 meters long, 40 meters wide, and three meters high. It had a median diameter of d50 and was composed of uniformly fine sand. The 2.5-meter main column diameter D. The base of the main column was three dimensions above the original seabed. The center of the seafloor was where the tripod was, 130 meters from the offshore and 110 meters from the onshore. To prevent wave reflection, the porous media were positioned above the seabed on the onshore side.

image013.png

Figure 1. An illustration of the numerical model for the seabed-tripod-fluid

3.1 Generation of meshes

Figure 2 displays the model’s mesh for the Flow-3D software grid. The current model made use of two different mesh types: global mesh grid and nested mesh grid. A mesh grid with the following measurements was created by the global hexahedra mesh grid: 240m length, 40m width, and 32m height. Around the tripod, a finer nested mesh grid was made, with dimensions of 0 to 32m on the z-axis, 10 to 30 m on the x-axis, and 25 to 15 m on the y-axis. This improved the calculation’s precision and mesh quality.

image014.png

Figure 2. The mesh block sketch

3.2 Conditional boundaries

To increase calculation efficiency, the top side, The model’s two x-z plane sides, as well as the symmetry boundaries, were all specified. For u, v, w=0, the bottom boundary wall was picked. The offshore end of the wave boundary was put upstream. For the wave border, random waves were generated using the wave spectrum from the Joint North Sea Wave Project (JONSWAP). Boundary conditions are shown in Figure 3.

image015.png

Figure 3. Boundary conditions of the typical problem

The wave spectrum peak enhancement factor (=3.3 for this work) and can be used to express the unidirectional JONSWAP frequency spectrum.

3.3 Mesh sensitivity

Before doing additional research into scour traits and scour depth forecasting, mesh sensitivity analysis is essential. Three different mesh grid sizes were selected for this section: Mesh 1 has a 0.45 by 0.45 nested fine mesh and a 0.6 by 0.6 global mesh size. Mesh 2 has a 0.4 global mesh size and a 0.35 nested fine mesh size, while Mesh 3 has a 0.25 global mesh size and a nested fine mesh size of 0.15. Comparing the relative fine mesh size (such as Mesh 2 or Mesh 3) to the relatively coarse mesh size (such as Mesh 1), a larger scour depth was seen; this shows that a finer mesh size can more precisely represent the scouring and flow field action around a tripod. Significantly, a lower mesh size necessitates a time commitment and a more difficult computer configuration. Depending on the sensitivity of the mesh guideline utilized by Pang et al., when Mesh 2 is applied, the findings converge and the mesh size is independent [20]. In the next sections, scouring the area surrounding the tripod was calculated using Mesh 2 to ensure accuracy and reduce computation time. The working segment generates a total of 14, 800,324 cells.

3.4 Model validation

Comparisons between the predicted outcomes from the current model and to confirm that the current numerical model is accurate and suitably modified, experimental data from Sumer and Fredsรธe [6] and Schendel et al. [15] were used. For the experimental results of Run 05, Run 15, and Run 22 from Sumer and Fredsรธe [6], the experimental A9, A13, A17, A25, A26, and A27 results from Schendel et al. [15], and the numerical results from the current model are shown in Figure 4. The present model had d50=0.051cm, the height of the water wave(h)=10m, and wave velocity=0.854 m.s-1.

image016.png

Figure 4. Cell size effect

image017.png

Figure 5. Comparison of the present study’s maximum scour depth with that authored by Sumer and Fredsรธe [6] and Schendel et al. [15]

According to Figure 5, the highest discrepancy between the numerical results and experimental data is about 10%, showing that overall, there is good agreement between them. The ability of the current numerical model to accurately depict the scour process and forecast the maximum scour depth (S) near foundations is demonstrated by this. Errors in the simulation were reduced by using the calibrated values of the parameter. Considering these results, a suggested simulated scouring utilizing a Flow-3D numerical model is confirmed as a superior way for precisely forecasting the maximum scour depth near a tripod foundation in random waves.

3.5 Dimensional analysis

The variables found in this study as having the greatest impacts, variables related to flow, fluid, bed sediment, flume shape, and duration all had an impact on local scouring depth (t). Hence, scour depth (S) can be seen as a function of these factors, shown as:

(11)

S=f\left(\rho, v, V, h, g, \rho s, d_{50}, \sigma g, V_w, D, d, T_v, t\right)

With the aid of dimensional analysis, the 14-dimensional parameters in Eq. (11) were reduced to 6 dimensionless variables using Buckingham’s -theorem. D, V, and were therefore set as repetition parameters and others as constants, allowing for the ignoring of their influence. Eq. (12) thus illustrates the relationship between the effect of the non-dimensional components on the depth of scour surrounding a tripod base.

(12)

\frac{S}{D}=f\left(\frac{h}{D}, \frac{d 50}{D}, \frac{V}{V W}, F r, K c\right)

where, SD๐‘†๐ท are scoured depth ratio, VVw๐‘‰๐‘‰๐‘ค is flow wave velocity, d50D๐‘‘50๐ท median size ratio, $Fr representstheFroudnumber,and๐‘Ÿ๐‘’๐‘๐‘Ÿ๐‘’๐‘ ๐‘’๐‘›๐‘ก๐‘ ๐‘กโ„Ž๐‘’๐น๐‘Ÿ๐‘œ๐‘ข๐‘‘๐‘›๐‘ข๐‘š๐‘๐‘’๐‘Ÿ,๐‘Ž๐‘›๐‘‘Kc$ is the Keulegan-Carpenter.

4. Result and Discussion

4.1 Development of scour

Similar to how the physical model was used, this numerical model was also used. The numerical model’s boundary conditions and other crucial variables that directly influence the outcomes were applied (flow depth, median particle size (d50), and wave velocity). After the initial 0-300 s, the scour rate reduced as the scour holes grew quickly. The scour depths steadied for about 1800 seconds before reaching an asymptotic value. The findings of scour depth with time are displayed in Figure 6.

4.2 Features of scour

Early on (t=400s), the scour hole began to appear beneath the main column and then began to extend along the diagonal bracing connecting to the wall-facing pile. Gradually, the geography of the scour; of these results is similar to the experimental observations of Stahlmann [4] and Aminoroayaie Yamini et al. [1]. As the waves reached the tripod, there was an enhanced flow acceleration underneath the main column and the lower diagonal braces as a result of the obstructing effects of the structural elements. More particles are mobilized and transported due to the enhanced near-bed flow velocity, it also increases bed shear stress, turbulence, and scour at the site. In comparison to a single pile, the main column and structural components of the tripod have a significant impact on the flow velocity distribution and, consequently, the scour process and morphology. The main column and seabed are separated by a gap, therefore the flow across the gap may aid in scouring. The scour hole first emerged beneath the main column and subsequently expanded along the lower structural components, both Aminoroayaie Yamini et al. [1] and Stahlmann [4] made this claim. Around the tripod, there are several different scour morphologies and the flow velocity distribution as shown in Figures 7 and 8.

image023.png

Figure 6. Results of scour depth with time

image024.png

image025.png

image026.png

image027.png

Figure 7. The sequence results of scour depth around tripod development (reached to steady state) simulation time

image028.png

image029.png

image030.png

image031.png

Figure 8. Random waves of flow velocity distribution around a tripod

4.3 Wave velocity’s (Vw) impact on scour depth

In this study’s section, we looked at how variations in wave current velocity affected the scouring depth. Bed scour pattern modification could result from an increase or decrease in waves. As a result, the backflow area produced within the pile would become stronger, which would increase the depth of the sediment scour. The quantity of current turbulence is the primary cause of the relationship between wave height and bed scour value. The current velocity has increased the extent to which the turbulence energy has changed and increased in strength now present. It should be mentioned that in this instance, the Jon swap spectrum random waves are chosen. The scour depth attains its steady-current value for Vw<0.75, Figure 9 (a) shows that effect. When (V) represents the mean velocity=0.5 m.s-1.

image032.png

(a)

image033.png

(b)

image034.png

(c)

image035.png

(d)

Figure 9Main effects on maximum scour depth (Smax) as a function of column diameter (D)

4.4 Impact of a median particle (d50) on scour depth

In this section of the study, we looked into how variations in particle size affected how the bed profile changed. The values of various particle diameters are defined in the numerical model for each run numerical modeling, and the conditions under which changes in particle diameter have an impact on the bed scour profile are derived. Based on Figure 9 (b), the findings of the numerical modeling show that as particle diameter increases the maximum scour depth caused by wave contact decreases. When (d50) is the diameter of Sediment (d50). The Shatt Al-Arab soil near Basra, Iraq, was used to produce a variety of varied diameters.

4.5 Impact of wave height and flow depth (h) on scour depth

One of the main elements affecting the scour profile brought on by the interaction of the wave and current with the piles of the wind turbines is the height of the wave surrounding the turbine pile causing more turbulence to develop there. The velocity towards the bottom and the bed both vary as the turbulence around the pile is increased, modifying the scour profile close to the pile. According to the results of the numerical modeling, the depth of scour will increase as water depth and wave height in random waves increase as shown in Figure 9 (c).

4.6 Froude number’s (Fr) impact on scour depth

No matter what the spacing ratio, the Figure 9 shows that the Froude number rises, and the maximum scour depth often rises as well increases in Figure 9 (d). Additionally, it is crucial to keep in mind that only a small portion of the findings regarding the spacing ratios with the smallest values. Due to the velocity acceleration in the presence of a larger Froude number, the range of edge scour downstream is greater than that of upstream. Moreover, the scouring phenomena occur in the region farthest from the tripod, perhaps as a result of the turbulence brought on by the collision of the tripod’s pile. Generally, as the Froude number rises, so does the deposition height and scour depth.

4.7 Keulegan-Carpenter (KC) number

The geography of the scour is significantly more influenced by the KC value. Greater KC causes a deeper equilibrium scour because an increase in KC lengthens the horseshoe vortex’s duration and intensifies it as shown in Figure 10.

The result can be attributed to the fact that wave superposition reduced the crucial KC for the initiation of the scour, particularly under small KC conditions. The primary variable in the equation used to calculate This is the depth of the scouring hole at the bed. The following expression is used to calculate the Keulegan-Carpenter number:

Kc=Vwโˆ—TpD๐พ๐‘=๐‘‰๐‘คโˆ—๐‘‡๐‘๐ท                          (13)

where, the wave period is Tp and the wave velocity is shown by Vw.

image037.png

Figure 10. Relationship between the relative maximum scour depth and KC

5. Conclusion

(1) The existing seabed-tripod-fluid numerical model is capable of faithfully reproducing the scour process and the flow field around tripods, suggesting that it may be used to predict the scour around tripods in random waves.

(2) Their results obtained in this research at various flow velocities and flow depths demonstrated that the maximum scour depth rate depended on wave height with rising velocities and decreasing particle sizes (d50).

(3) A diagonal brace and the main column act as blockages, increasing the flow accelerations underneath them. This raises the magnitude of the disturbance and the shear stress on the seafloor, which in turn causes a greater number of particles to be mobilized and conveyed, as a result, causes more severe scour at the location.

(4) The Froude number and the scouring process are closely related. In general, as the Froude number rises, so does the maximum scour depth and scour range. The highest maximum scour depth always coincides with the bigger Froude number with the shortest spacing ratio.

Since the issue is that there aren’t many experiments or studies that are relevant to this subject, therefore we had to rely on the monopile criteria. Therefore, to gain a deeper knowledge of the scouring effect surrounding the tripod in random waves, further numerical research exploring numerous soil, foundation, and construction elements as well as upcoming physical model tests will be beneficial.

Nomenclature

CFDComputational fluid dynamics
FAVORFractional Area/Volume Obstacle Representation
VOFVolume of Fluid
RNGRenormalized Group
OWTsOffshore wind turbines
Greek Symbols
ฮต, ฯ‰Dissipation rate of the turbulent kinetic energy, m2s-3
Subscripts
d50Median particle size
VfVolume fraction
GTTurbulent energy of buoyancy
KTTurbulent velocity
PTKinetic energy of the turbulence
ฮ‘iInduction parameter
nsInduction parameter
ฮ˜ฮ˜crThe essential Shields variable
DiDiameter of sediment
dโˆ—The diameter of particles without dimensions
ยตfDynamic viscosity of the fluid
qb,iThe bed load transportation rate
Cs,iSand particle’s concentration of mass
DDiameter of pile
DfDiffusivity
DDiameter of main column
FrFroud number
KcKeuleganโ€“Carpenter number
GAcceleration of gravity g
HFlow depth
VwWave Velocity
VMean Velocity
TpWave Period
SScour depth

  References

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[2] Hassan, W.H., Hashim, F.S. (2020). The effect of climate change on the maximum temperature in Southwest Iraq using HadCM3 and CanESM2 modelling. SN Applied Sciences, 2(9): 1494. https://doi.org/10.1007/s42452-020-03302-z

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Investigating effects of lateral inflow characteristics on main flow using numerical modeling

Investigating effects of lateral inflow characteristics on main flow using numerical modeling

์ˆ˜์น˜๋ชจ๋ธ๋ง์„ ์ด์šฉํ•œ ์ธก๋ฉด ์œ ์ž…ํŠน์„ฑ์ด ๋ณธ๋ฅ˜์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ์กฐ์‚ฌ

Mohammad Raze Raeisi Dehkordi1*, Amir Hossein Yeganeh Mazhar1
, Farzaneh Kheradzare2
1– PhD. Student in the Department of Construction and Water Management, Science and Research Unit, Islamic Azad
University, Tehran, Iran
2– M.Sc. Graduate Water resource management, Department of Civil Engineering and Mechanics, Ghiaseddin Jamshid
Kashani University, Qazvin, Iran

  • Corresponding author: mohamadreza.raeisi.d@gmail.com

Keywords

Channel Confluence, Channel cross, sectional area, Cross channel angles, Modelling, Flow-3D

Abstract

Introduction

One of the key issues in river engineering is analyzing the flow properties at the intersection of natural rivers and canals. The flow of the side channel moves away from the intersection of the two channels as a result of the exchange of input force from the side channel with the main flow after coming into contact with it. One of the most evident properties of the flow in these sections is the development of a revolving region with low pressure and even negative pressure close to the inner wall of the side channel. One advantage of the whirling flow in this low-pressure region is that it gives the flow enough space to sediment, but it also increases flow speed near the channel’s bottom and outside wall by lowering the intersectional areaย of the flow. One of the most crucial considerations in the design of these intersections is minimizing sedimentation in the rotating region and scouring in the area above the shear plane.

Materials and methods:

The channel (flume) created in the laboratory based on Weber et al., (2001) model, was employed in the current investigation to confirm the validity and examine other study objectives. The main channel is 21. 95 meters long, while the side channel, which is at a 90-degree angle to the main channel, is 3. 66 meters long. The total downstream discharge is approximately 0. 17 m3/s, with the upstream velocities of the main channel being 0. 166 m/s and the side channel being 0. 5 m/s. In both channels, the flow depth and width are 0. 91 meters and 0. 296 meters, respectively. In this study, 6 various models’ angles of intersection between the main and side channels, inlet flow velocity, intersectional area, and side channel length have been examined. Models 2 and 3 have intersection angles of 60 and 30 degrees, respectively, and share the rest of their attributes with the fundamental model, or model number 1. Model 1 is the same as Weber’s experimental model. The length of the side channel in model 4 is different from model 1. The only difference between model 6 and the basic model is the side channel intake speed.

Results and Discussion

Analyzing the intersection angle The angle between the main channel and the side channel is investigated in this section of the findings. Models 1, 2, and 3 are assessed using the intersection angles of 90, 60, and 30 degrees, respectively. In some studies, the impact of the intersection angle has been examined, but in this study, three-dimensional investigation in transverse and longitudinal sections as well as the plan of the intersection is discussed, as can be observed from the literature review. Considering three models with intersection angles of 90, 60, and 30 degrees, the kinetic energy contours at the channel’s middle height can be obtained for each model. The channel with a 30-degree intersection angle (model 3) has the maximum kinetic energy in the flow. The channel with a 60-degree intersection has the minimum kinetic energy. As a result of the maximum deviation of the flow in the main channel caused by the flow of the side channel, the channel with a 90-degree intersection also has the maximum kinetic energy near the wall in front of the side channel.

Examining the side channel length In model 1, the side channel is 3. 66 meters long, whereas in model 4, it is 5. 52 meters long. This study aims to determine how changing the side channel’s length affects the flow pattern where two channels intersect. The kinetic energy contours were obtained for two states of the channel length, which are known to extend the lateral channel, increase the energy of the flow after the intersection, and shorten the length of the high-kinetic energy zone. When compared to model 1 with a shorter length of the side channel, the width of the flow separation zone is reduced by approximately 20%, which results in less flow sedimentation. Figure 12 illustrates the rotating zones in the flow separation area. The flow separation region’s length is essentially unchanged. Studying the intersection of the lateral channel After determining the lateral channel’s length, its width and, consequently, its intersectional areaย should be evaluated.

This section compares model 1 width of 0. 91 meters to model 5 width of 1. 40 meters. One of the most recent topics related to the intersection of the main and side channels is examining the intersection of the side channel. In model 5, the side channel’s flow rate has also increased due to an increase in the width or intersection of the channel. The flow rate through the intersection and the momentum of the flow from the side channel and the main channel increase when the side channel flow rate rises. The findings indicate that when flow width and side channel flow rise, energy increases after the inlet.

Investigating the value of inlet speed in the side channel Unlike the preceding sections, which were all concerned with the channel geometry, the inlet velocity in the side channel is one of the hydraulic parameters of the flow. In this section, models 1 and 6 with inlet velocities of the side channel of 0. 5 and 0. 75 m/s are evaluated. According to the modeling, the flow is somewhat horst before and immediately on the intersection of the flow level, but it undergoes a substantial prolapse just after the intersection. Model 6 has a larger volume and height of flow, but a smaller and softer prolapse after the intersection.

Conclusion

Some hydraulic and geometric properties of the intersection of channels have been examined using Flow-3D software. The RNG turbulence model was used for three-dimensional modeling. Some of the results are listed below. The flow is uniform upstream of the main and minor channels and only slightly becomes horst at the intersection. The analysis of the lengthening of the side channel revealed a 20% reduction in the separation zone’s width and a considerable reduction in the kinetic energy at the intersection. The input flow rate of this channel to the intersection increases with the speed and width of the side channel, which accounts for the local drop in the width of the main channel flow.

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