The Uncertainty Of A Minicar Constraint System Optimization Design

With the popularity of vehicle, traffic accidents are occurring with increasingfrequency which caused a large number of casualties and enormous property loss. Sovehicle safety has become one of the key issues in modern vehicle engineering field.With the development of computer and the ripeness of simulation theories, numericalsimulation technique was widely used in the vehicle safety design field. Therefore,Searching for a simulation optimal deign method which is more suitable tocrashworthiness and safety design is significant and valuable. Occupant restraintsystem is an important part of automotive passive safety design. In order to optimaldesign the occupant restraint system of a minibus; this research is carried out asfollowing.(1)The simulation model of driver occupant restraint system of a minibus is builtbased on the multi-body and finite element theories. The model is consists of vehiclebody, safe-belt and Hybird Ⅲ dummy(50%). The input and output of the model weregetted from the real car collision test and component test. Then, the model is validatedby the frontal crash test.(2)An inverse technical for parameters identification of occupant restraintsystem is developed based on Intergeneration Progection Genetic Algorithm. Thereare many parameters in the MADYMO model of occupant restraint system. Some ofthem can hardly be acquired through traditional methods. To slove this problem, andacquire accurate simulation model of occupant restraint system， The IP-GA isemployed to adjust the parameters to make the calculated responses meet themeasured in a least-square sense. Then the parameters can be identified effectively.(3)An uncertain optimal design technique of occupant restraint system isdeveloped based on non-probabilistic interval methods. Accounting for the effect ofmanufacture and measurement, Uncertainty unavoidably exists in the occupantrestraint system. Based on describing the uncertainty using interval, the uncertainoptimization model of occupant restraint system is built and nonlinear intervalnumber programming (NINP) algorithm based on the sequential linear programmingtechnique is employed to solve the optimization model. Comparing with thetraditional deterministic optimization, it can not only improve the safety performance,but also enhance the reliability of the occupant restraint system.