Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches

AuthID
 P-00X-DV4
3
Author(s)
Bastos, N
·
Prates, P
·
2
Editor(s)
Vincze,G;Barlat,F
Document Type
Proceedings Paper
Year published
2022
Published
in Key Engineering Materials, ISSN: 1013-9826
Volume: 926 KEM, Pages: 2193-2200
Conference
25Th International Conference on Material Forming, Esaform 2022, Date: 27 April 2022 through 29 April 2022
Indexing
Scopus®
Crossref®2
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85140465229
Source Identifiers
ISSN: 1013-9826
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