Development of a parameter identification strategy using Finite Element Model Updating on Digital Image Correlation measurements : towards the application to a non-local model

Abstract : This thesis proposes an identification strategy for plastic behaviour and damage up to the onset of fracture, for an application to ductile metals.A logarithmic finite strain formulation is used to simulate the large deformations undergone by the specimens, while a locking-free non-local formulation allows a mesh independent simulation of the softening behaviour.Digital Image Correlation is used to obtain heterogeneous full-field measurements from tensile tests on notched specimens.The identification strategy is based both on microscopic observations and on a Finite Element Model Updating (FEMU) technique, according to which the parameters are identified by minimizing the discrepancy between experiment and simulation. The discrepancy is quantified both in terms of displacement and force thanks to an appropriate normalization. The application of FEMU is guided using sensitivity analysis.The robustness of the comparison between simulation and measurement is ensured by prescribing measured displacements as boundary conditions for the simulation. The negative effect of the measurement uncertainty is underlined, and an innovative filtering approach is proposed.The proposed strategy is used to identify the materials' parameters of alloy Inconel625. It allows to reproduce the onset of fracture for flat specimens, both in terms of macroscopic response and crack initiation location.
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Francesco Bettonte. Development of a parameter identification strategy using Finite Element Model Updating on Digital Image Correlation measurements : towards the application to a non-local model. Materials. PSL Research University, 2017. English. ⟨NNT : 2017PSLEM022⟩. ⟨tel-01814212⟩

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