Extension of the virtual fields method to elasto-plastic material identification with cyclic loads and kinematic hardening
Extension of the virtual fields method to elasto-plastic material identification with cyclic loads and kinematic hardening
The virtual fields method (VFM) has been specifically developed for solving inverse problems from dense full-field data. This paper explores recent improvements regarding the identification of elasto-plastic models. The procedure has been extended to cyclic loads and combined kinematic/isotropic hardening. A specific attention has also been given to the effect of noise in the data. Indeed, noise in experimental data may significantly affect the robustness of the VFM for solving such inverse problems. The concept of optimized virtual fields that minimize the noise effects, previously developed for linear elasticity, is extended to plasticity in this study. Numerical examples with models combining isotropic and kinematic hardening have been considered for the validation. Different load paths (tension, compression, notched specimen) have shown that this new procedure is robust when applied to elasto-plastic material identification. Finally, the procedure is validated on experimental data
virtual fields method, optimized virtual fields, full-field measurement, elasto-plastic behaviour, isotropic hardening, kinematic hardening, heterogeneous tests, cyclic loading, inverse problem
2993-3010
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Avril, S.
6c8490e9-2ae9-41c3-9bf8-bfbb3836c097
Tran, V. The
b3d758b8-2bb6-479a-b82b-f7ccb931e513
November 2010
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Avril, S.
6c8490e9-2ae9-41c3-9bf8-bfbb3836c097
Tran, V. The
b3d758b8-2bb6-479a-b82b-f7ccb931e513
Pierron, F., Avril, S. and Tran, V. The
(2010)
Extension of the virtual fields method to elasto-plastic material identification with cyclic loads and kinematic hardening.
International Journal of Solids and Structures, 47 (22-23), .
(doi:10.1016/j.ijsolstr.2010.06.022).
Abstract
The virtual fields method (VFM) has been specifically developed for solving inverse problems from dense full-field data. This paper explores recent improvements regarding the identification of elasto-plastic models. The procedure has been extended to cyclic loads and combined kinematic/isotropic hardening. A specific attention has also been given to the effect of noise in the data. Indeed, noise in experimental data may significantly affect the robustness of the VFM for solving such inverse problems. The concept of optimized virtual fields that minimize the noise effects, previously developed for linear elasticity, is extended to plasticity in this study. Numerical examples with models combining isotropic and kinematic hardening have been considered for the validation. Different load paths (tension, compression, notched specimen) have shown that this new procedure is robust when applied to elasto-plastic material identification. Finally, the procedure is validated on experimental data
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e-pub ahead of print date: 3 July 2010
Published date: November 2010
Keywords:
virtual fields method, optimized virtual fields, full-field measurement, elasto-plastic behaviour, isotropic hardening, kinematic hardening, heterogeneous tests, cyclic loading, inverse problem
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Engineering Mats & Surface Engineerg Gp
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Local EPrints ID: 210599
URI: http://eprints.soton.ac.uk/id/eprint/210599
ISSN: 0020-7683
PURE UUID: 5457214b-b573-49ec-93bc-5c8f026d559c
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Date deposited: 10 Feb 2012 15:44
Last modified: 15 Mar 2024 03:35
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Author:
S. Avril
Author:
V. The Tran
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