Multi-Objective and Non-deterministic Optimization of Vehicle Restraint Systems
Résumé
Procedures for Multi-Objective Non-deterministic Optimization (MONO) of complex engineering systems are discussed and the optimization of a Vehicle Restraint System (VRS) is realized with Finite Element (FE) simulation. In the previous studies: performances of a VRS have been tested by crashing with a vehicle and the FE model of the crash test has been created; the critical factors whose uncertainties contribute the most to the performance uncertainties of the VRS have been identified through sensitivity analysis. In this article: the inputs? space of design variables and outputs uncertainties are studied to define design intervals and the constraints of optimization; Kriging interpolation method is used to create the surrogate model and the precision of the surrogate model is estimated with a new approach; uncertainties of the critical factors are considered and the VRS is optimized through MONO with the surrogate model; performances of the optimized device are evaluated under different crash conditions.