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A computational approach to design new tests for viscoplasticity characterization at high strain-rates

A computational approach to design new tests for viscoplasticity characterization at high strain-rates
A computational approach to design new tests for viscoplasticity characterization at high strain-rates

Rate-dependent behaviour characterization of metals at high strain rate remains challenging mainly because of the strong hypotheses when tests are processed with statically determinate approaches. As a non-standard methodology, Image-Based Inertial Impact (IBII) test has been proposed to take advantage of the dynamic Virtual Fields Method (VFM) which enables the identification of constitutive parameters with strain and acceleration fields. However, most of the test parameters (e.g. projectile velocity, specimen geometry) are not constrained. Therefore, an FE-based approach is addressed to optimize the identification over a wide range of strain and strain-rate, according to two design criteria: (1) the characterized viscoplastic spectra, (2) the identifiability of the parameters. Whereas the first criterion is assessed by processing the FEA simulations, the second is rated extracting material parameters using synthetic images to input the VFM. Finally, uncertainties regarding the identification of material constants are quantified for each IBII test configuration and different camera performances.

Impact, Optimization, Testing, Virtual field method, Viscoplasticity
0178-7675
1-16
Bouda, Pascal
1027e51c-52a6-4312-a4bb-d8a51355eda1
Langrand, Bertrand
37329eaa-5ae4-4464-b0d4-6261882804e2
Notta-Cuvier, Delphine
7fedc6e2-6e8f-4b95-9f4c-f05b7e88422f
Markiewicz, Eric
4613516d-05ba-4e06-91c9-fceefa05ac88
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Bouda, Pascal
1027e51c-52a6-4312-a4bb-d8a51355eda1
Langrand, Bertrand
37329eaa-5ae4-4464-b0d4-6261882804e2
Notta-Cuvier, Delphine
7fedc6e2-6e8f-4b95-9f4c-f05b7e88422f
Markiewicz, Eric
4613516d-05ba-4e06-91c9-fceefa05ac88
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4

Bouda, Pascal, Langrand, Bertrand, Notta-Cuvier, Delphine, Markiewicz, Eric and Pierron, Fabrice (2019) A computational approach to design new tests for viscoplasticity characterization at high strain-rates. Computational Mechanics, 1-16. (doi:10.1007/s00466-019-01742-y).

Record type: Article

Abstract

Rate-dependent behaviour characterization of metals at high strain rate remains challenging mainly because of the strong hypotheses when tests are processed with statically determinate approaches. As a non-standard methodology, Image-Based Inertial Impact (IBII) test has been proposed to take advantage of the dynamic Virtual Fields Method (VFM) which enables the identification of constitutive parameters with strain and acceleration fields. However, most of the test parameters (e.g. projectile velocity, specimen geometry) are not constrained. Therefore, an FE-based approach is addressed to optimize the identification over a wide range of strain and strain-rate, according to two design criteria: (1) the characterized viscoplastic spectra, (2) the identifiability of the parameters. Whereas the first criterion is assessed by processing the FEA simulations, the second is rated extracting material parameters using synthetic images to input the VFM. Finally, uncertainties regarding the identification of material constants are quantified for each IBII test configuration and different camera performances.

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More information

Accepted/In Press date: 27 May 2019
e-pub ahead of print date: 26 June 2019
Keywords: Impact, Optimization, Testing, Virtual field method, Viscoplasticity

Identifiers

Local EPrints ID: 434690
URI: http://eprints.soton.ac.uk/id/eprint/434690
ISSN: 0178-7675
PURE UUID: 99aa4c3b-8977-4e8a-ba94-d87797bf4945
ORCID for Fabrice Pierron: ORCID iD orcid.org/0000-0003-2813-4994

Catalogue record

Date deposited: 04 Oct 2019 16:30
Last modified: 16 Mar 2024 04:02

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Contributors

Author: Pascal Bouda
Author: Bertrand Langrand
Author: Delphine Notta-Cuvier
Author: Eric Markiewicz
Author: Fabrice Pierron ORCID iD

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