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๊ฒ€์ฆ๋œ ํŒŒํŠธ๋„ˆ ์ œํœด์‚ฌ ์ž๋ฃŒ

An Expert Finite Element Discretization for Time- Dependent Structural Problems

๋ฐฉ๋Œ€ํ•œ 850๋งŒ๊ฑด์˜ ์ž๋ฃŒ ์ค‘ ์ฃผ์ œ๋ณ„๋กœ ๋งŒ๋“ค์ˆ˜ ์žˆ๋Š” ์ตœ์ ์˜ ์‚ฐ์ถœ๋ฌผ์„ ํ•ดํ”ผ ์บ ํผ์Šค์—์„œ ์ฒดํ—˜ ํ•˜์„ธ์š” ์ „๋ฌธ๊ฐ€์˜ ์ง€์‹๊ณผ ์ธ์‚ฌ์ดํŠธ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์‰ฝ๊ณ  ํญ๋„“๊ฒŒ ์ดํ•ดํ•˜๊ณ  ์ ์šฉํ• ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๋ฅผ ๋†“์น˜์ง€ ๋งˆ์„ธ์š”
7 ํŽ˜์ด์งฟ’
์–ด๋„๋น„ PDF
์ตœ์ดˆ๋“ฑ๋ก์ผ 2023.04.05 ์ตœ์ข…์ ฟ’์ž‘์ผ 1990.09
7P ๋ฏธ๋้ฉ๋ณด๊ธฐ
An Expert Finite Element Discretization for
Time- Dependent Structural Problems
  • * ๋ณธ ๋ฌธ์„œ๋Š” ๋ฐฐํฌ์šฉ์œผ๋กœ ๋ณต์‚ฌ ๋ฐ ํŽธ์ง‘์ด ๋ถˆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค.

    ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์„œ์่ง์ •๋ต–

    ยท ๋ฐœํ–‰๊ธฐ๊ด€ : ํ•œ๊ตญ์ „์‚ฐ๊ตฌ์กฐ๊ณตํ•™ํšŒ
    ยท ์ˆ˜๋ก์ง€ ์ •๋ณด : ํ•œ๊ตญ์ „์‚ฐ๊ตฌ์กฐ๊ณตํ•™ํšŒ ๋…ผ๋ๅฉ์ง‘ / 3๊ถŒ / 3ํ˜ธ
    ยท ์ €์ž๋ช… : Joo Kuan Jung

    ์ดˆ๋ก

    ๋ณธ ๋…ผ๋ๅฉ์—์„œ๋Š” ์‹œ ๊ฐ„ ์ข…์† ํ•˜์ฆ์„ ๋ฐ›๋Š” ๋Œ€ํ˜• ์ „์‚ฐ๊ตฌ์กฐ์‘๋ ฅ ํ•ด์„ ๋ฌธ์ œ๋ฅผ ์œ„ํ•œ ์œ ํ•œ์š”์†Œ ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•
    ์ด ์†Œ ๊ฐœ๋œ๋‹ค ์œ ํ•œ์š”์†Œ ]ฮน ๋ฉ˜ i๊น…์˜ ๋ถ„ํ• ๊ธฐ์ค€์€ ๋ถ„์ œ์— ๋Œ€ํ•œ ํ•ด์„ ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ์˜ค์ฐจ์„ ์ •์— ๊ทผ๊ฑฐ๋ฅผ ๋‘”
    ๋‹ค. ์ด -์™ฟ’์ž์‚ฐ์ •์€ ํ•ด์‚ญ์…˜๊ณผ์น˜์— ์˜ํ•œ ์ž”์œ  ์—๋„ˆ์ง€์˜ ํฌ๊ธฐํ”Œ ์œ ํ•œ์š”์†Œ๋ณ„๋กœ ์‚ฐ์ •ํ•œ๋‹ค. ์ด์˜ ์‹œ๊ฐ„์กด์žฅ
    IL์กฐ์ดฌ์— ๋Œ€ํ•œ ์‘ ์šฉ๋ธโ€˜ ๊ตฌ์กฐ์—ฐ์†์ฒด์˜ Ritz ๊ณ ์œ ์ง„๋™ ๋ชจ๋“œ ๋ฅผ ๊ณ„์‚ฐํ•˜๊ณ  ์ด๋œฐ ์ง„๋™ ๋ชจ๋“œ ์ค‘์—์„œ ์ €์ฃผ๋”ฐ
    ์— ์ƒ์šฉํ•˜๋…ผ ์ง„๋™๊ผฌ๋“œ์— ๋Œ€ํ•ด ์ž”์œ  ์—๋„ˆ์ง€์˜ ํฌ๊ธฐ๊ฐ€ ๊ตฌ์กฐ์ฒด ์ „์ฒด์˜์—ญ์—์„œ ํ‰ํ˜•์„ ์œ ์ง€ํ•˜๋„๋ก ์œ ํ•œ์š”
    ์†Œ ๋ชจ๋ด๋ƒ‰์œค ์ˆ˜ํ–‰ํ•œ๋‹คโ€˜ ๋งˆ์ง€๋ง‰์œผ๋กœโ€˜ ์—ฌ๊ธฐ์„œ ์ œ์•ˆ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ๋ช‡ ์˜ˆ์ œํ”Œ์„ ํ†ตํ•ด์„œ ๊ฒ€์ฆ๋œ๋‹ค.

    ์˜์–ด์ดˆ๋ก

    A finite element technique for the time dependent large structural problems is presented. It is
    based on the error estimation for the bases of solution spaces. An a - posteriori energy norm of
    residual error serves as the the error indicator. Mode shapes which are calculated by scaling the
    Ritz vectors are applied to discretize the continuous spatial domain. Finally, the performance of the
    proposed methods is demonstrated by solving simple examples

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท ์—†์Œ
  • ์ž๋ฃŒํ›„๊ธฐ

    Ai ๋ฆฌ๋ทฐ
    ํŒ๋งค์ž๊ฐ€ ์ œ๊ณตํ•œ ์ž๋ฃŒ๋Š” ์ฒด๊ณ„์ ์ธ ๊ตฌ์„ฑ์œผ๋กœ ๋˜์–ด ์žˆ์–ด ๋ณต์žกํ•œ ๋‚ด์šฉ์„ ๊ณผ์ œ์— ์‰ฝ๊ฒŒ ํ™œ์šฉ ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์•ž์œผ๋กœ๋„ ์ด๋Ÿฌํ•œ ์ข‹์€ ์ž๋ฃŒ๋“ค์ด ๋งŽ์ด ๋“ฑ๋ก๋˜๊ธฐ๋ฅผ ๊ธฐ๋Œ€ํ•ฉ๋‹ˆ๋‹ค.
    • ์ž์ฃผ๋ฌป๋Š”์งˆ๋ๅฉ์˜ ๋‹ต๋ณ€์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”

      ํ•ดํ”ผ์บ ํผ์Šค FAQ ๋”๋ต–๊ธฐ

      ๊ผญ ์•Œ์•„์ฃผ์„ธ์š”

      • ๋ณธ ํ•™์ˆ ๋…ผ๋ๅฉ์€ (์ฃผ)์ฝ”๋้ฉ์•„์Šค์นผ๋ผ์™ฟ’ ๊ฐ ํ•™ํšŒ๊ฐ„์— ์ €์ž‘๊ถŒ๊ณ„์•ฝ์ด ์ฒด๊ฒฐ๋œ ๊ฒƒ์œผ๋กœ AgentSoft๊ฐ€ ์ œ๊ณต ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
        ๋ณธ ์ €์ž‘๋ฌผ์„ ๋ถˆ๋ฒ•์ ์œผ๋กœ ์ด์šฉ์‹œ๋Š” ๋ฒ•์ ์ธ ์ œ์žฌ๊ฐ€ ๊ฐ€ํ•ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
      • ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๊ตฌ๋งค์ž์™ฟ’ ํŒ๋งค์ž ๋ชจ๋‘๊ฐ€ ๋งŒ์กฑํ•˜๋Š” ์„œ๋น„์Šค๊ฐ€ ๋˜๋„๋ก ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์•„๋ž˜์˜ 4๊ฐ€์ง€ ์ž๋ฃŒํ™˜๋ถˆ ์กฐ๊ฑด์„ ๊ผญ ํ™•์ธํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
        ํŒŒ์ผ์˜ค๋ฅ˜ ์ค‘๋ณต์ž๋ฃŒ ์ €์ž‘๊ถŒ ์—†์Œ ์„ค๋ช…๊ณผ ์‹ค์ œ ๋‚ด์šฉ ๋ถˆ์ผ์น˜
        ํŒŒ์ผ์˜ ๋‹ค์šด๋กœ๋“œ๊ฐ€ ์ œ๋Œ€๋กœ ๋˜์ง€ ์•Š๊ฑฐ๋‚˜ ํŒŒ์ผํ˜•์‹์— ๋งž๋Š” ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ •์ƒ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ ๋‹ค๋ฅธ ์ž๋ฃŒ์™ฟ’ 70% ์ด์ƒ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜๋Š” ๊ฒฝ์šฐ (์ค‘๋ณต์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ ํ•„์š”ํ•จ) ์ธํ„ฐ๋„ท์˜ ๋‹ค๋ฅธ ์‚ฌ์ดํŠธ, ์—ฐ๊ตฌ๊ธฐ๊ด€, ํ•™๊ป“, ์„œ์  ๋“ฑ์˜ ์ž๋ฃŒ๋ฅผ ๋„์šฉํ•œ ๊ฒฝ์šฐ ์ž๋ฃŒ์˜ ์„ค๋ช…๊ณผ ์‹ค์ œ ์ž๋ฃŒ์˜ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ

    โ€œํ•œ๊ตญ์ „์‚ฐ๊ตฌ์กฐ๊ณตํ•™ํšŒ ๋…ผ๋ๅฉ์ง‘โ€์˜ ๋‹ค๋ฅธ ๋…ผ๋ๅฉ๋„ ํ™•์ธํ•ด ๋ณด์„ธ์š”!

    ๋ฌธ์„œ ์ดˆ์•ˆ์„ ์ƒ์„ฑํ•ด์ฃผ๋Š” EasyAI
    ์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค์˜ ๋ฐฉ๋Œ€ํ•œ ์ž๋ฃŒ ์ค‘์—์„œ ์„ ๋ณ„ํ•˜์—ฌ ๋‹น์‹ ๋งŒ์˜ ์ดˆ์•ˆ์„ ๋งŒ๋“ค์–ด์ฃผ๋Š” EasyAI ์ž…๋‹ˆ๋‹ค.
    ์ €๋Š” ์•„๋ž˜์™ฟ’ ๊ฐ™์ด ์ž‘์—…์„ ๋„์™ฟ’๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์ฃผ์ œ๋งŒ ์ž…๋ ฅํ•˜๋ฉด ๋ชฉ์ฐจ๋ถ€ํ„ฐ ๋ณธ๋ฌธ๋‚ด์šฉ๊นŒ์ง€ ์ž๋™ ์ƒ์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์žฅ๋ฌธ์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ์ž‘์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์Šคํ† ์–ด์—์„œ ๋ฌด๋ฃŒ ์บ์‹œ๋ฅผ ๊ณ„์ •๋ณ„๋กœ 1ํšŒ ๋ฐœ๊ธ‰ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ ๋ฐ”๋กœ ์ฒดํ—˜ํ•ด ๋ณด์„ธ์š”!
    ์ด๋Ÿฐ ์ฃผ์ œ๋“ค์„ ์ž…๋ ฅํ•ด ๋ณด์„ธ์š”.
    - ์œ ์•„์—๊ฒŒ ์ ํ•ฉํ•œ ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๊ธฐ์ค€๊ณผ ํŠน์„ฑ
    - ํ•œ๊ตญ์ธ์˜ ๊ฐ€์น˜๊ด€ ์ค‘์—์„œ ์ •์‹ ์  ๊ฐ€์น˜๊ด€์„ ์ด๋ฃจ๋Š” ๊ฒƒ๋“ค์„ ๋ฌธํ™”์  ๋ฌธ๋ฒ•์œผ๋กœ ์ •๋ฆฌํ•˜๊ณ , ํ˜„๋Œ€ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ผ์–ด๋‚˜๋Š” ์‚ฌ๊ฑด๊ณผ ์‚ฌ๊ณ ๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ž์‹ ์˜ ์˜๊ฒฌ์œผ๋กœ ๊ธฐ์ˆ ํ•˜์„ธ์š”
    - ์ž‘๋ณ„์ธ์‚ฌ ๋…ํ›„๊ฐ
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