Search Results

Accurate prediction of the responses from the anthropomorphic test devices (ATDs) in vehicle crash tests is critical to achieving better vehicle occupant performances. In recent years, automakers have used finite element (FE) models of the ATDs in computer simulations to obtain early assessments of occupant safety, and to aid in the development of occupant restraint systems. However, vehicle crash test results have variation, sometimes significant. This presents a challenge to assessing the accuracy of the ATD FE models, let alone improving them. To resolve this issue, it is important to understand the test variation and carefully select the target data for model improvement. This paper presents the work carried out by General Motors and Humanetics Innovative Solutions (formerly FTSS) in a joint project, aimed at improving the FE model of the Hybrid III-50 ATD (HIII-50) v5.1.

As part of the Federal Motor Vehicle Safety Standards, requirements for roof strength need to be met for all vehicles. On the other hand, automobile manufactures need to minimize vehicle mass for fuel economy and other objectives. It is important, therefore, for manufacturers to have a good understanding of the sources of variation in measured roof strength. An accurate estimation of such variation is important to achieving these objectives. This paper presents a method of using CAE simulation and vehicle tests to effectively estimate the range of variability in the roof crush tests. A number of vehicle and test variables which could potentially affect the measured roof strength were chosen, and their sensitivity was evaluated through CAE simulation. This knowledge of the sensitivity was then used to design a small number of vehicle tests, producing an estimation of the variation range in roof strength.