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Experimental validation of the sensitivity-based virtual fields for identification of anisotropic plasticity models

Experimental validation of the sensitivity-based virtual fields for identification of anisotropic plasticity models
Experimental validation of the sensitivity-based virtual fields for identification of anisotropic plasticity models
In this work, the sensitivity-based virtual fields have been applied to identify two anisotropic plasticity models (Hill48, Yld2000-2D) using a deep-notched tensile test performed on flat samples of cold-rolled sheet of DC04 steel. The material was characterised using the standard protocol to obtain the reference sets of parameters. Deformation data was obtained during deep-notched tests using stereo digital image correlation and the virtual fields method was employed to identify material parameters. It was found that the sensitivity-based virtual fields outperform the standard user-defined virtual fields in terms of accuracy
anisotropic plasticity, digital image correlation, inverse identification, sensitivity-based virtual fields, the virtual fields method
1741-2765
639-664
Marek, A.
7cfb1c40-2e95-4e2b-81e5-c515674bece6
Davis, F.M.
20f89066-bbac-42dc-908d-d89a747dc399
Kim, J.-H.
a9999993-21c2-4bf9-b98a-ac14e49a0440
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Marek, A.
7cfb1c40-2e95-4e2b-81e5-c515674bece6
Davis, F.M.
20f89066-bbac-42dc-908d-d89a747dc399
Kim, J.-H.
a9999993-21c2-4bf9-b98a-ac14e49a0440
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4

Marek, A., Davis, F.M., Kim, J.-H. and Pierron, F. (2020) Experimental validation of the sensitivity-based virtual fields for identification of anisotropic plasticity models. Experimental Mechanics, 60 (5), 639-664. (doi:10.1007/s11340-019-00575-3).

Record type: Article

Abstract

In this work, the sensitivity-based virtual fields have been applied to identify two anisotropic plasticity models (Hill48, Yld2000-2D) using a deep-notched tensile test performed on flat samples of cold-rolled sheet of DC04 steel. The material was characterised using the standard protocol to obtain the reference sets of parameters. Deformation data was obtained during deep-notched tests using stereo digital image correlation and the virtual fields method was employed to identify material parameters. It was found that the sensitivity-based virtual fields outperform the standard user-defined virtual fields in terms of accuracy

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Experimental validation of SBVFs_reviewed2 - Accepted Manuscript
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Marek 2020 Article Experimental Validation - Version of Record
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More information

Accepted/In Press date: 30 December 2019
e-pub ahead of print date: 19 February 2020
Published date: 19 February 2020
Keywords: anisotropic plasticity, digital image correlation, inverse identification, sensitivity-based virtual fields, the virtual fields method

Identifiers

Local EPrints ID: 438058
URI: http://eprints.soton.ac.uk/id/eprint/438058
ISSN: 1741-2765
PURE UUID: aa3b7de8-c53a-4148-8416-c8c361abcb79
ORCID for F. Pierron: ORCID iD orcid.org/0000-0003-2813-4994

Catalogue record

Date deposited: 27 Feb 2020 17:30
Last modified: 26 Nov 2021 07:15

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Contributors

Author: A. Marek
Author: F.M. Davis
Author: J.-H. Kim
Author: F. Pierron ORCID iD

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