Evaluation and Improvement of Side Impact Occupant Safety using Optimization and Stochastic Analysis 2007-01-0365
Side impact occupant safety has been evaluated and optimized using a MADYMO vehicle compartment model with prescribed structural motion. A CPU efficient approach is presented where reliability is optimized in three stages:
Stochastic (random) analysis to calculate the scatter that could be expected for the initial design
Optimization taking scatter into account by safety margins derived from the first stage
To evaluate scatter resulting from dummy hardware variations a stochastic model of the ES-2 dummy was used. Variation of dummy & seat position and variation of airbag and door trim properties were included using the scatter database developed in the EC projects VITES and APROSYS.
Two sets of 150 simulations were used for the scatter analysis (including 23 scatter parameters) and 120 simulations were necessary in the optimization (including 3 design parameters). The CPU per analysis was 2 hours and the total process took 9 days using up to 6 processors. These numbers prove that this method can be used in a vehicle development process. In this project the EuroNCAP side impact sub-score has been evaluated. The initial stochastic analysis showed results ranging from 3-5 stars where in particular the parameters related to dummy and seat position have a major influence. The optimization showed results ranging from 4-5 stars, with an increased probability of obtaining 5 stars.
Citation: Rutjes, N., van Hassel, E., Happee, R., and Cappon, H., "Evaluation and Improvement of Side Impact Occupant Safety using Optimization and Stochastic Analysis," SAE Technical Paper 2007-01-0365, 2007, https://doi.org/10.4271/2007-01-0365. Download Citation
Nelis Rutjes, Edwin van Hassel, Riender Happee, Hans Cappon
TNO Automotive Safety Solutions
SAE World Congress & Exhibition
Safety: Rear Impact, Rollover, Side Impact, Crashworthiness, Air Bags and Bumper Systems-SP-2117