Application of the virtual fields method to large strain anisotropic plasticity
Application of the virtual fields method to large strain anisotropic plasticity
The identification of the plastic behaviour of sheet metals at severe deformation is extremely important for many industrial application such as metal forming, crashworthiness, automotive, aerospace, piping, etc. In this paper, the virtual fields method (VFM) was employed to identify the constitutive parameters of anisotropic plasticity models. The method was applied using the finite deformation theory in order to account for large strains. First the theoretical principles to implement the method are described in details, especially how to derive the stress field from the strain field. Afterwards a numerical validation was performed using the Hill48 model. Several aspects were studied with the numerical model: the effect of the used virtual fields, the minimum number of specimens required to identify the parameters, the stress distribution obtained from the specimen and its influence in the identification performance. A brief analysis on the influence of noise is also conducted. Finally a series of experiments was conducted on notched specimens of stainless steel, cut along different anisotropic directions. The displacement and strain fields were obtained by digital image correlation. Afterwards, the VFM was used to identify the parameters of the Hill48 model and the Yld2000-2D model. In this case, the Hill48 model was not able to correctly describe the material behaviour, while a rather good agreement was found with the Yld2000-2D model. The potential and the limitation of the proposed method are finally discussed.
322-335
Rossi, Marco
1fea52ac-027b-4309-82e5-dd9cba8249e6
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Štamborská, Michaela
6e868bba-e61d-4221-8123-8194d454cbbc
15 October 2016
Rossi, Marco
1fea52ac-027b-4309-82e5-dd9cba8249e6
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Štamborská, Michaela
6e868bba-e61d-4221-8123-8194d454cbbc
Rossi, Marco, Pierron, Fabrice and Štamborská, Michaela
(2016)
Application of the virtual fields method to large strain anisotropic plasticity.
International Journal of Solids and Structures, 97-98, .
(doi:10.1016/j.ijsolstr.2016.07.015).
Abstract
The identification of the plastic behaviour of sheet metals at severe deformation is extremely important for many industrial application such as metal forming, crashworthiness, automotive, aerospace, piping, etc. In this paper, the virtual fields method (VFM) was employed to identify the constitutive parameters of anisotropic plasticity models. The method was applied using the finite deformation theory in order to account for large strains. First the theoretical principles to implement the method are described in details, especially how to derive the stress field from the strain field. Afterwards a numerical validation was performed using the Hill48 model. Several aspects were studied with the numerical model: the effect of the used virtual fields, the minimum number of specimens required to identify the parameters, the stress distribution obtained from the specimen and its influence in the identification performance. A brief analysis on the influence of noise is also conducted. Finally a series of experiments was conducted on notched specimens of stainless steel, cut along different anisotropic directions. The displacement and strain fields were obtained by digital image correlation. Afterwards, the VFM was used to identify the parameters of the Hill48 model and the Yld2000-2D model. In this case, the Hill48 model was not able to correctly describe the material behaviour, while a rather good agreement was found with the Yld2000-2D model. The potential and the limitation of the proposed method are finally discussed.
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Accepted/In Press date: 8 July 2016
e-pub ahead of print date: 9 July 2016
Published date: 15 October 2016
Organisations:
Engineering Mats & Surface Engineerg Gp
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Local EPrints ID: 397942
URI: http://eprints.soton.ac.uk/id/eprint/397942
ISSN: 0020-7683
PURE UUID: ad0da125-b23c-4bfd-944b-928cf8c91eb7
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Date deposited: 20 Jul 2016 08:34
Last modified: 15 Mar 2024 05:44
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Author:
Marco Rossi
Author:
Michaela Štamborská
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