Machine learning-based multi-objective optimization for efficient identification of crystal plasticity model parameters

A set of constitutive model parameters along with crystallography governs the activation of deformation mechanisms in crystal plasticity. The constitutive parameters are typically established by fitting of mechanical data, while microstructural data is used for verification. This paper develops a Pa...

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Vydané v:	Computer methods in applied mechanics and engineering Ročník 403; s. 115740
Hlavní autori:	Veasna, Khem, Feng, Zhangxi, Zhang, Qi, Knezevic, Marko
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2023
Predmet:	Crystal plasticity Machine learning Numerical algorithms Parameter identification Crystal plasticity Parameter identification Machine learning Numerical algorithms
ISSN:	0045-7825, 1879-2138
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