Optimisation et identification int\'egr\'ee \`a la corr\'elation d'images de param\`etres de lois \'elastoplastiques

TL;DR

This paper presents an integrated approach combining digital image correlation, experimental design, and uncertainty analysis to accurately identify parameters of elastic and elastoplastic laws with kinematic hardening from biaxial tests.

Contribution

It introduces an optimized experimental protocol that minimizes uncertainty in parameter identification by integrating measurement, simulation, and uncertainty quantification.

Findings

Optimized specimen geometry reduces parameter uncertainty.

Full field measurements improve identification accuracy.

Uncertainty-aware procedures enhance reliability of parameter estimation.

Abstract

Integrated digital image correlation (IDIC) is applied to identify the constitutive parameters of an elastic and two elastoplastic laws with kinematic hardening. An experiment is conducted on a cruciform specimen in a biaxial setup. The geometry of the specimen is optimized to allow for the least uncertainty in the identification of parameters of linear elastic law. The optimization takes into account the complete experimental and identification processes. Thus, full field measurements, direct numerical simulations and identification procedures accounting for uncertainties, all contribute at their best to the resulting experimental protocol.