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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Bibliographic Details

Published in:	Computer methods in applied mechanics and engineering Vol. 403; p. 115740
Main Authors:	Veasna, Khem, Feng, Zhangxi, Zhang, Qi, Knezevic, Marko
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2023
Subjects:	Crystal plasticity Machine learning Numerical algorithms Parameter identification Crystal plasticity Parameter identification Machine learning Numerical algorithms
ISSN:	0045-7825, 1879-2138
Online Access:	Get full text
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