Hybrid NN /FEM analysis of the elastoplastic plane stress problem
Abstract
The back-propagation neural network was trained off line in order to simulate operation of the return mapping algorithm. Selection of patterns and the neural network training as well as testing processes are discussed in detail. The network was incorporated into the FE computer code ANKA as a neural procedure. The hybrid neural-network/finite-element-method program ANKA-H was used for the analysis of two elastoplastic plane stress examples: i) perforated tension strip, ii) notched beam. The results of computations point out quite good accuracy of the hybrid analysis. Some prospects of development of hybrid NN/FEM programs are given at the end of paper.
Keywords
References
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Published
May 25, 2023
How to Cite
WASZCZYSZYN, Zenon; PABISEK, Ewa.
Hybrid NN /FEM analysis of the elastoplastic plane stress problem.
Computer Assisted Methods in Engineering and Science, [S.l.], v. 6, n. 2, p. 177-188, may 2023.
ISSN 2956-5839.
Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/1316>. Date accessed: 13 nov. 2024.
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This work is licensed under a Creative Commons Attribution 4.0 International License.