摘要
提出了一种基于反求理论的汽车碰撞安全性优化方法。为了提高有限元仿真在汽车安全性分析方面的准确性,通过有限元仿真与试验验证相结合的方法,利用反求技术求出材料的特性参数。将得到的特性参数应用于某种卡车驾驶室的相同材料,对驾驶室的结构参数进行优化。选取卡车翻滚时对驾驶员安全影响较大的参数作为优化目标,利用遗传算法对构造的多目标优化模型进行计算。通过计算结果可知,有限元仿真中默认的材料特性参数与试验结果有一定的差别,将试验得出的数据应用于优化中可以得到更准确的结果。
This paper presents an optimization method for vehicle crash safty based on reverse theory. To improve the accuracy of finite element simulation on the analysis of vehicle safty,an inverse problem is established to obtain the material characteristic parameters by combining finite element simulation and test verification. Then,the structure optimization of a truck cab is conducted,in which the real parameters are utilized. The parameters which have great impact on the safety of driver are selected as optimization objectives and a genetic algorithm is adopted to solve this multi-objective optimization problems. The result indicates that there is some differences between the default material parameters of the finite element simualtion software and the experimental data. The optimized results by using experimental data will be more accurate than those obtianed by using the default material parameters.
出处
《机械科学与技术》
CSCD
北大核心
2014年第9期1393-1396,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学优秀青年基金项目(51222502)
国家自然科学基金项目(11172096)
教育部新世纪优秀人才支持计划项目(NCET-11-0124)
湖南省自然科学创新研究群体基金项目(12JJ7001)资助
关键词
汽车安全性
反求
优化
材料特性参数
computer simulation
crashworthiness
experiments
finite element method
genetic algorithms
inverse problems
multiobjective optimization
optimization
structural optimization
material characteristic parameter
vehicle security
