汽车正面高速耐撞性设计中存在着大量的不确定性因素,为了确保车内乘员的人身安全需要提高车辆结构强度,在对汽车碰撞模型车辆结构强度进行可靠性优化设计时,由于无法得到显示表达式,需要调用有限元分析而非常耗时,降低了求解效率。为解决上述问题,采用拉丁超立方抽样中的均匀设计方法在设计变量不确定区间内进行采样,用LSDYNA软件对样本进行仿真分析计算,采用径向基函数拟合碰撞过程中各响应的近似模型,然后调用可靠性优化设计算法对碰撞模型车辆结构强度进行优化。通过优化计算,提高了汽车正面高速耐撞性。
There are lots of uncertainties in vehicle frontal high-speed crashworthiness design.To ensure the safety of vehicle occupants,the vehicles' structural strength needs to be improved.When we do reliability optimization design of vehicles' structural strength about the vehicle crash model,it is very time-consuming to call finite element analysis for the lack of the expression.To solve the problem,this paper uses uniform design of Latin Hypercube sampling method to generate the sampling points.These points are used to do LSDYNA simulation analysis.And then a radial basis function respond surface is constructed to approximate the vehicle collision response which is used to calculate the vehicles' structural strength in collision model by using algorithm of reliability-based design optimization.Through optimization,the crashworthiness of Vehicle frontal high-speed has been improved.