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2024 | OriginalPaper | Chapter

A Multi-testing Approach for the Full Calibration of 3D Anisotropic Plasticity Models via Inverse Methods

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Abstract

Sheet metals are characterized by an anisotropic behavior which plays a crucial role in the prediction of their plastic and failure. The accurate description of their mechanical response generally requires the definition of advanced material models that often demand material information from several orientations and stress states. Recently, inverse methods such as the virtual fields method (VFM) or the finite element model updating (FEMU), coupled with a full-field measurement technique, have been distinguished as efficient strategies for the calibration of complex material model. The use of heterogeneous strain fields, in fact, offers a larger amount of material information compared to the classical standard test, enriching the identification process and, in general, reducing the experimental effort for the calibration.
In this study, a new inverse identification framework is proposed for the calibration of a full-scale anisotropic plasticity model. The idea is to include the data from different tests to overcome the main limitation of 3D plasticity models with the inclusion of constitutive information about the shear anisotropy along the thickness direction.
The inverse identification procedure employs full-field information from two main experiments: a biaxial tensile test on a cruciform specimen for the calibration of the coefficients expressing the planar anisotropy, and an innovative Iosipescu-like test for the through-thickness shear ones. Virtual experiments based on finite element simulations are used to evaluate the error associated to the identification procedure, with the aim to optimize of the whole characterization process.

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Metadata
Title
A Multi-testing Approach for the Full Calibration of 3D Anisotropic Plasticity Models via Inverse Methods
Authors
Attilio Lattanzi
Mattia Utzeri
Marco Rossi
Dario Amodio
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-50474-7_11

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