Tools for multiaxial validation of behavior laws chosen for modeling hyper-elasticity of rubber-like materials

TL;DR

This paper introduces an experimental framework using digital image correlation and multiaxial testing to validate hyper-elastic models for rubber-like materials, enhancing accuracy in modeling their complex mechanical behavior.

Contribution

It presents a novel multiaxial validation approach for hyper-elastic models, combining experimental data with displacement field analysis to improve model discrimination.

Findings

Displacement fields effectively differentiate hyper-elastic models.

Biaxial tests provide comprehensive validation data.

Model predictions align closely with experimental results.

Abstract

We present an experimental approach to discriminate hyper-elastic models describing the mechanical behavior of rubber-like materials. An evaluation of the displacement field obtained by digital image correlation allows us to evaluate the heterogeneous strain field observed during these tests. We focus on the particular case of hyper-elastic models to simulate the behavior of some rubber-like materials. Assuming incompressibility of the material, the hyper-elastic potential is determined from tension and compression tests. A biaxial loading condition is obtained in a multiaxial testing machine and model predictions are compared with experimental results.