This study investigated the ability of the GHBMC detailed female (F05) and male (M50) Finite Element models to predict a bdominal solid organ injuries observed in Post Mortem Human Surrogate tests. Using 19 loading configurations from the literature corresponding to 68 Post Mortem Human Surrogate and a database of 173 simulations, simulation‐based injury risk curves were developed for the liver and spleen of the GHBMC M50 and F05 models. A good or fair injury prediction capability (in the ISO rating sense) was attained for the liver when selecting carefully the loading condition based on the organ engagement. No equivalent result could be obtained on the spleen, most likely due to the insufficient number of injury points. The study highlights the critical importance of organ geometry and loading location to predict injury, and the limited effect of global model scaling on the injury prediction capability.
Keywords:
abdomen, human body model, injury, liver, risk curve