Characterization of the post-necking strain hardening behavior using the virtual fields method

By Jin-Hwan Kim, A. Serpantié, Frederic Barlat, Fabrice Pierron, Myoung-Gyu Lee. 2013

205 citations recorded by the source corpus.

The present study aims at characterizing the post-necking strain hardening behavior of three sheet metals having different hardening behavior. Standard tensile tests were performed on sheet metal specimens up to fracture and heterogeneous logarithmic strain fields were obtained from a digital image correlation technique. Then, an appropriate elasto-plastic constitutive model was chosen. Von Mises yield criterion under plane stress and isotropic hardening law were considered to retrieve the relationship between stress and strain. The virtual fields method (VFM) was adopted as an inverse method to determine the constitutive parameters by calculating the stress fields from the heterogeneous strain fields. The results show that the choice of a hardening law which can describe the hardening behavior accurately is important to derive the true stress–strain curve. Finally, post-necking hardening behavior was successfully characterized up to the initial stage of localized necking using the VFM with Swift and modified Voce laws.

Subfields: Materials Chemistry, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/1dfd2e40de21e7469f8ef083c45a8a00704bbec8

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In Materials Chemistry

In Mechanical Engineering

In Mechanics of Materials

Citations in the corpus

Stress–strain curves of metallic materials and post‐necking strain hardening characterization: A review (2019, background): “Inserting Equation (26) into Equation (25), the equivalent strain can be obtained and equals to ε11.”
Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements (2020, background): “Anisotropic elasticity for composite materials [45, 46, 47] and wood [48], elasticity or hyperlasticity of elastomers [49, 50] and biological materials [51, 52, 53, 54], elastoplasticity of plain metals [55, 56, 57, 58, 59, 60, 61] or welds [62], are typical examples.”
Estimation of Elastoplastic Parameters via Weighted FEMU and Integrated-DIC (2015, background): “This is particularly important when investigating localized phenomena associated with plasticity [54, 53, 35].”