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A data-driven approach for modeling tension–compression asymmetric material behavior: numerical simu...

A data-driven approach for modeling tension–compression asymmetric material behavior: numerical simu...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2624035655

A data-driven approach for modeling tension–compression asymmetric material behavior: numerical simulation and experiment

About this item

Full title

A data-driven approach for modeling tension–compression asymmetric material behavior: numerical simulation and experiment

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Computational mechanics, 2022-01, Vol.69 (1), p.299-313

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

In this paper, a direct data-driven approach for the modeling of isotropic, tension–compression asymmetric, elasto-plastic materials is proposed. Our approach bypasses the conventional construction of explicit mathematical function-based elasto-plastic models, and the need for parameter-fitting. In it, stress update is driven directly by a set of s...

Alternative Titles

Full title

A data-driven approach for modeling tension–compression asymmetric material behavior: numerical simulation and experiment

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2624035655

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2624035655

Other Identifiers

ISSN

0178-7675

E-ISSN

1432-0924

DOI

10.1007/s00466-021-02094-2

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