Enhanced Robust Design Optimization in Seat Belt Anchorage Strength for Front Crash Safety of Multi-Purpose Vehicle

This paper deals with an enhanced robust design optimization (RDO) method and its application to the strength problem of seat belt anchorage, related front crash safety multi-purpose vehicles. In order determine rational newly developed automotive part, such as seat, in which reliability evaluation data is not sufficient at stage, it necessary implement a probabilistic considering uncertainties. Thickness size variables frame structure’s members were considered random variables, including uncertainties manufacturing tolerance, are inevitable hazard parts. Probabilistic constraints selected from performances anchorage test, regulated Economic Commission for Europe (ECE) Federal Motor Vehicle Safety Standard (FMVSS), evaluated by finite element analyses. The RDO was formulated that determined minimizing weight subject performance Three sigma level quality robustness side constraints. mean value (MVRM) adaptive importance sampling (AISM) used analyses RDO, probabilities MVRM AISM on optimum assessed Monte Carlo simulation (MCS). results according analysis methods compared results. case AISM, structure fully satisfied all constraint functions, so most reliable structural guaranteed design.