Derivation of heterogeneous material laws via data-driven principal component expansions
Published 2019 View Full Article
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Title
Derivation of heterogeneous material laws via data-driven principal component expansions
Authors
Keywords
Computational data-driven, Artificial neural network, 3D objective material laws, Principal strain and stress space, Engineering structure with microstructure
Journal
COMPUTATIONAL MECHANICS
Volume 64, Issue 2, Pages 365-379
Publisher
Springer Science and Business Media LLC
Online
2019-05-23
DOI
10.1007/s00466-019-01728-w
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