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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Veröffentlicht in:	Computer methods in applied mechanics and engineering Jg. 403; S. 115740
Hauptverfasser:	Veasna, Khem, Feng, Zhangxi, Zhang, Qi, Knezevic, Marko
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2023
Schlagworte:	Crystal plasticity Machine learning Numerical algorithms Parameter identification Crystal plasticity Parameter identification Machine learning Numerical algorithms
ISSN:	0045-7825, 1879-2138
Online-Zugang:	Volltext
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