Automation of LCF material model parameters’ identification

Modeling of material behaviour has significant influence on design and optimization of mechanical structures and consequently calculation of their lifetime. When using complex constitutive material model that describes elastic–plastic behaviour of the cyclically loaded material and takes into account damage occurrence and accumulation, the process of parameter identification from experimental data is very complex and time-consuming. In this paper the damage occurrence and accumulation within the material are described by means of models of Bauschinger effect, kinematic and isotropic hardening (or softening) according to Chaboche material model and mean stress relaxation according to Ohno–Wang material model. Since the material model is highly non-linear, its parameter identification requires complex numerical procedures, carefully chosen algorithms and numerical operators, followed by software solution development. The developed automated system for material model parameter identification is validated by comparing the calculated with experimental response of the material. Its usage can make material behaviour modeling for numerous materials accurate, fast and user-friendly.