전산구조공학 (Computational Structural Engineering)

한국전산구조공학회 (Computational Structural Engineering Institute of Korea)
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인공지능 홍수에서 살아남기

Surviving the Flood of Artificial Intelligence

  • 발행 : 2021.09.03
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참고문헌

  1. PS Lee, Development, success and vision in FEM (FEM의 발전, 성공과 비전), 한국전산구조공학회 학회지 Vol. 33 No.2, 2020.
  2. 동아사이언스 2016, https://www.dongascience.com/news.php?idx=10919
  3. Jung J, Yoon K, Lee PS. Deep learned finite elements, Computer Methods in Applied Mechanics and Engineering, Volume 372, 113401. 2020. https://doi.org/10.1016/j.cma.2020.113401
  4. Jung J, Jung H, Lee PS. Self-updated four-node finite element using deep learning, Computational Mechanics. 2021.
  5. Ko Y, Lee PS, Bathe KJ. A new 4-node MITC element for analysis of two-dimensional solids and its formulation in a shell element, Computers & Structures, 192: 34-49. 2017. https://doi.org/10.1016/j.compstruc.2017.07.003
  6. Lee C, Lee PS. A new strain smoothing method for triangular and tetrahedral finite elements, Computer Methods in Applied Mechanics and Engineering, 341: 939-955. 2018. https://doi.org/10.1016/j.cma.2018.07.022
  7. Kim S, Lee PS. A new enriched 4-node 2D solid finite element free from the linear dependence problem, Computers & Structures, 202: 25-43. 2018. https://doi.org/10.1016/j.compstruc.2018.03.001
  8. Ko Y, Lee PS. A 6-node triangular solid-shell element for linear and nonlinear analysis, International Journal for Numerical Methods and Engineering, 111: 1203-1230. 2017. https://doi.org/10.1002/nme.5498
  9. Lee Y, Lee PS, Bathe KJ. The MITC3+ shell finite element and its performance. Computers & Structures, 138, 12-23. 2014. https://doi.org/10.1016/j.compstruc.2014.02.005
  10. Lee C, Lee PS. The strain-smoothed MITC3+ shell element. Computers & Structures, 223, 106096. 2019. https://doi.org/10.1016/j.compstruc.2019.07.005
  11. Lee C, Lee PS. A new strain smoothing method for triangular and tetrahedron finite elements. Computer Methods in Applied Mechanics and Engineering, 341, 939-955. 2018. https://doi.org/10.1016/j.cma.2018.07.022
  12. Lee Y, Jeon HM, Lee PS, Bathe KJ. The modal behavior of the MITC3+ triangular shell element. Computers & Structures, 153, 148-164, 2015. https://doi.org/10.1016/j.compstruc.2015.02.033
  13. Yoon K, Lee PS. Nonlinear performance of continuum mechanics based beam elements focusing on large twisting behaviors. Computer Methods in Applied Mechanics and Engineering, 281, 106-130, 2014. https://doi.org/10.1016/j.cma.2014.07.023
  14. Yoon K, Lee PS. Modeling the warping displacement fields for discontinuously varying arbitrary cross-section beams. Computers & Structures, 131, 56-69, Jan 2014. https://doi.org/10.1016/j.compstruc.2013.10.013
  15. Shin S, Lee S, Hyun C, Kim JY, Lee PS. Lifetime prediction of bladder for tire curing using deep learning (딥러닝을 이용한 타이어용 가류 브라다의 수명 예측). COSEIK 2021 학술 심포지움. 2021.
  16. Kim Y, Lee PS. Prediction of sea condition in southwest Jeju sea using machine learning (파랑장 스냅샷을 이용한 기계 학습을 통한 해상상태 예측). COSEIK 2021 학술심포지움. 2021.
  17. Lee S, Hyun C, Shin S, Yoon J, Lee PS. Automatic setting of process parameters using deep learning (딥러닝을 이용한 공정 변수 자동 설정). COSEIK 2021 학술심포지움. 2021.
  18. Shin S, Lee PS. An internal crack detection method using machine learning algorithm. 2019 World Congress on Advances in Structural Engineering and Mechanics (ASEM2019). 2019.