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

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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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Acknowledgements

The authors are grateful to Onera and the Région Hauts-de-France for cofunding this project. Prof. Pierron acknowledges support by EPSRC through Grant EP/L026910/1.

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Authors and Affiliations

  1. DMAS, ONERA, 59014, Lille, France

    Pascal Bouda & Bertrand Langrand

  2. LAMIH UMR CNRS 8201, UPHF Le Mont Houy, 59313, Valenciennes Cedex 9, France

    Pascal Bouda, Delphine Notta-Cuvier & Eric Markiewicz

  3. Faculty of Engineering and the Environment, University of Southampton, Highfield, SO171BJ, UK

    Fabrice Pierron

Authors
  1. Pascal Bouda
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  2. Bertrand Langrand
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  3. Delphine Notta-Cuvier
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  4. Eric Markiewicz
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  5. Fabrice Pierron
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Correspondence to Bertrand Langrand.

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Bouda, P., Langrand, B., Notta-Cuvier, D. et al. A computational approach to design new tests for viscoplasticity characterization at high strain-rates. Comput Mech 64, 1639–1654 (2019). https://doi.org/10.1007/s00466-019-01742-y

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