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.
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The Arvedi Group approached the University of Trieste to find a solution to the uneven distribution of material inside the hopper of their blast furnace in Trieste, Italy.
optimization modefrontier rocky mechanics
CASE STUDY
This article combines the use of the finite element method with a Design Thinking approach to reconstruct a road traffic accident for an traffic accident insurance report in order to analyse the outcome of the accident, compare the respective property damage, and the physical injuries to pedestrians or passengers in order to limit the quantity of large claims compensation for the insurance company, while ensuring the fairness of the compensation for the customer to foster greater trust and credibility in the insurance provider.
automotive ls-dyna