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Development of frontal impact airbag sensor algorithms/calibrations requires crash signals, which can be obtained from vehicle crash testing and/or CAE simulations. This paper presents the development of finite element sensor models to generate CAE simulated crash pulses/signals at the sensing location during frontal impacts. These signals will be evaluated for potential used in the airbag sensor algorithm/calibration.

This paper describes the development of a simulation methodology to predict body mount functional stiffness. The method provides some improvement over the one previously developed by Cheng and Le. Advantages of this method are 1) user's expertise is not a requirement, 2) elimination of trial-and-error runs for tuning the stiffness characteristics and 3) a predictive tool applicable prior to crash tests. Verification of the method is carried out by comparing the numerical results with those obtained from trial-and-error method and tests. The method leads to promising results in full vehicle crash simulations.