Multi-parameter Match Design And Robust Research Of Vehicle Occupant Restraint System

This issue is subsidized by the National Natural Science Foundation of China(51275164) named "Robust optimization for human injury based on global sensitivityanalysis and metamodel of fitting basic function in vehicle collision".Automotive occupant restraint system is a major safety device to protect vehicleoccupant, rational design of automotive occupant restraint system can significantlyreduce occupant injury in vehicle collision. Traditional design for occupant restraintsystems is primarily focus on the analysis of several parameters of seat belts andairbags, few researches have done on all parameters considered of these twosub-systems. If the impact of design factors considered only while ignoring otherparameters, it usually leads to that the design of the occupant restraint system can notreach the expected protective effect. Both the impact of design parameters andfluctuations in the design parameters are considered, the rational and robust system isachieved.On the basis of previous studies, this paper mainly focuses on parameters matchdesign and robust design analysis of automotive occupant restraint system, the mainresearch methods and contents are as follows:Firstly, this paper summarizes and analyzes the research methods and content ofautomotive occupant restraint system studied by the domestic and foreigners and thedeficiency and drawback of their research works.Secondly, automotive frontal crash restraint system is built based on multi-bodysoftware MADYMO, and the accuracy of the calculation model is validated. Itindicates that the model can replace real car model in design and analysis.Thirdly, aiming at the complex and cumbersome match design of passengerrestraint system under the condition of multi-parameter, a method of global sensitivityanalysis based on divided variables in groups is proposed. By making relevantvariables in one group and keeping each other independent among sets of variables,global sensitivity analysis is conducted in grouped variables and the importance ofparameters is evaluated by calculating the contribution value of each parameter to thetotal variance of system response.Fourthly, by ranking the importance of input parameters, relatively importantparameters are chosen to conduct robust design analysis of the system. The injury value of robust optimization is relative higher than deterministic design optimization,but the response fluctuation of objective function is reduced, which means that therobustness of the occupant restraint system is improved obviously.Finally, this paper analyzes this global sensitivity analysis method based ongrouped variables and robust design method, and the author note the superiority andadvance of this method on occupant restraint system. Moreover, some more complexquestions and deficiencies in this study are introduced for further research.