Inverse material model calibration of rubber bumper

Abstract

This study explores an inverse calibration process to find the material parameters of the constitutive model that will lead to accurate prediction of the bumper behavior based on an experimental dataset. An axisymmetric model of a rubber bumper and platens were utilized and simulated for compressive load using finite element method. The simulation dataset was used to predict the material model parameter by surrogate model based optimization method. For the simulation and optimization ANSYS was used. The fitted parameters were further validated by comparing stress and strain data to the specimen.