In recent years, the usage of HS-steels has risen significantly in the automotive field. Their characteristics, such as hardness and favourable weight to strength ratio, can increase safety, fuel efficiency and overall product profitability. In this context, for the design with this material, it has become crucial to be able to characterize precisely HS-steels and accurately predict their failure in many complex conditions, to fully exploit their capabilities. One of the most accredited ways to approach the prediction of failure for a wide range of materials is the generalized incremental stress-state dependent damage model GISSMO. The model is highly flexible and provides a framework inside LS-DYNA in which failure parameters can be tuned to reproduce experimental data.