Developing a Three Step Method to Improve CAE Correlation of ATD Responses in Frontal Crash Tests 2019-01-1035
The quality of the interior components of a CAE model is very important in the prediction of anthropomorphic test device (ATD) responses and in all efforts to reduce physical tests. These components include seatbelt, airbag, steering wheel, steering column, seats and instrument panel. CAE correlations to physical tests involving interaction of an ATD with these components are still challenging. To capture the physics in a crash test, the values of material constants used in constitutive models and other CAE parameters used in various crash mode simulations have to be accurately determined.. This study resulted in enhancing the CAE prediction capability and model accuracy in simulations involving the interaction of an ATD with critical interior components leading to a better correlation of ATD responses between tests and simulations. Different levels of component and subsystem tests were conducted. Test fixtures and setups were carefully designed, in order to create a controlled environment through which the properties of the interior and restraint system components could accurately be determined. This paper presents a three step approach: at the material level (step one), at the component level (step two), and at the system level (step three). Each step focused on the performance of all components involved at a controlled environment to reduce extraneous factors to a minimum. This method exclusively determined the primary interior component properties and parameters, which can later be applied to sub-system and full-vehicle models to achieve high confidence results. This is a joint project with LSTC and Humanetics in order to best utilize the solver capability and LSTC expertise as well as using the latest dummy models.
CONG CHEN, Stephen Kang, Sarba Guha, Srinivas Sunkarapalli, Anthony Rencher, Sushanth Ramavath, Krishnakanth Aekbote, Fuchun Zhu
Ford Motor Company, Livermore Software Technology Corp., Humanetics Innovative Solutions Inc.