Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization

Fuente: arXiv

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Bibliographic Details
Main Authors:	Yin, Shunyu, Ferreira, Bernardo P., Kus, Gawel, Bessa, Miguel A.
Format:	Preprint
Published:	2025
Subjects:	Computational Physics Numerical Analysis
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2512.14963