A robust physics-informed neural network approach for predicting structural instability-Reference-Cited by-同舟云学术

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A robust physics-informed neural network approach for predicting structural instability

Published:2023-04 Issue: Volume:216 Page:103893
ISSN:0168-874X
Container-title:Finite Elements in Analysis and Design
language:en
Short-container-title:Finite Elements in Analysis and Design

Author:

Mai Hau T.,Truong Tam T.,Kang Joowon,Mai Dai D.,Lee Jaehong^ORCID

Funder

Ministry of Education, Science and Technology

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Graphics and Computer-Aided Design,General Engineering,Analysis

Reference61 articles.

1. Computing critical points and secondary paths in nonlinear structural stability analysis by the finite element method;Shi;Comput. Struct.,1996

2. A general procedure for the direct computation of turning and bifurcation points;Wriggers;Internat. J. Numer. Methods Engrg.,1990

3. Comparison of theories for stability of truss structures. Part 1: Computation of critical load;Sun;Commun. Nonlinear Sci. Numer. Simul.,2009

4. Comparison of theories for stability of truss structures. Part 2: Computation of critical solution of stability;Sun;Commun. Nonlinear Sci. Numer. Simul.,2009

5. Calculation of bifurcation points via fold curves;Wagner,1991

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