A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics-Reference-Cited by-同舟云学术

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A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics

Published:2024-09 Issue: Volume:429 Page:117159
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Bai Jinshuai^ORCID,Liu Gui-Rong,Rabczuk Timon,Wang Yizheng^ORCID,Feng Xi-Qiao,Gu YuanTong^ORCID

Funder

National Natural Science Foundation of China

Australian Research Council

Publisher

Elsevier BV

Reference51 articles.

1. The Finite Element Method: A Practical Course;Liu,2013

2. Smoothed Finite Element Methods;Liu,2016

3. Historical development of the Newton–Raphson method;Ypma;SIAM Rev.,1995

4. An incremental approach to the solution of snapping and buckling problems;Riks;Int. J. Solids Struct.,1979

5. An arc-length method including line searches and accelerations;Crisfield;Int. J. Numer. Methods Eng.,1983

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