Abstract

Material models used in structural finite element analysis (FEA) are often one of the key aspects that engineers need to describe very accurately. Particularly in applications involving high levels of plastic deformation combined with temperature and strain rate effects, the description of material behaviour by means of appropriately calibrated models and parameters is mandatory.

Since the calibration process can be equally challenging and time-consuming due to the high degree of freedom in parameter dispersion, an automated approach is best to obtain robust and reliable results. For this task an optimization strategy based on genetic algorithms executed with modeFRONTIER is coupled with the LS-DYNA implicit solver to find the best set of parameters to correctly reproduce the behaviour of a metallic material from quasi-static conditions up to high strain rate regimes.