딥러닝을 이용한 유한요소 개발 및 오차 추정

Finite Element Development and Error Estimation using Deep Learning

  • 정재호 (한국원자력연구원 혁신SMR계통개발부 )
  • 발행 : 2022.12.15

초록

키워드

참고문헌

  1. Jung, J., Yoon, K., Lee, P.S. (2020) Deep Learned Finite Elements, Computer Methods in Applied Mechanics and Engineering, 372, 113401. 
  2. Zienkiewicz, O.C., Taylor, R.L. (2000) The finite element method: the basis, Butterworth-Heinemann, Oxford, UK. 
  3. Jung, J., Jun, H., Lee, P.S. (2021) Self-updated Four-node Finite Element using Deep Learning, Computational Mechanics, 69, 23-44.  https://doi.org/10.1007/s00466-021-02081-7
  4. Jung, J., Park, S., Lee, C. (2022) A Posteriori Error Estimation via Mode Based Finite Element Formulation using Deep Learning, Structural Engineering and Mechanics, 83(2), 273-282.  https://doi.org/10.12989/SEM.2022.83.2.273
  5. Hinton, E., Campbell, J.S. (1974) Local and global smoothing of discontinuous finite element functions using a least squares method, International Journal for Numerical Methods in Engineering, 8, 461-480.  https://doi.org/10.1002/nme.1620080303
  6. Ozakca, M. (2003) Comparison of error estimation methods and adaptivity for plane stress/strain problems, Structural Engineering and Mechanics, 15(5), 579-608. https://doi.org/10.12989/sem.2003.15.5.579