摘要
汽车轻量化是汽车产业发展方向之一,也是一个汽车厂商和国家技术进步、先进程度的重要标志。优化汽车的结构设计是实现汽车轻量化的有效途径之一,文中采用拉丁方试验设计方法进行样本数据设计,同时,为了提高了计算效率,将基于移动最小二乘拟合的响应面近似模型引入到整车正碰优化设计的复杂系统中,并利用序列响应面优化方法对近似模型进行优化,避免了整车碰撞传统优化设计方法计算量大,且在碰撞非线性系统优化中常常易导致收敛缓慢甚至不收敛的缺点。在满足了CMVDR294安全法规的同时,使汽车车身一些部件的板厚达到合理的配置,从而达到使汽车重量得到一定程度的减轻的目的。
The automobile lightweight is one of the development directions of automobile industry, and also is an important symbol of technical progress and advanced extent of an automobile manufacturer and a country. The structural design optimization of the automobile is an effective way of realizing the automobile lightweight. The sample data design is carried out by adopting Latin-square experiment design method, moreover, in order to improve computing efficiency, a response surface approximate model based on moving least square fitting is introduced into the complex system of optimization design of complete vehicle frontal crash, and the sequential response surface optimization method is used to optimize the approximate model, thus avoiding the disadvantages of large amount of circulation in the traditional optimization method and slow convergence or even no convergence in the optimization of nonlinear crash system. While making the vehicle meet the requirements of Regulation CMVDR 294, it also makes the plate thickness of some components of automobile body achieve rational distribution, thus reducing the vehicle weight to some extent.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2008年第11期192-196,共5页
Journal of Mechanical Engineering
基金
国家自然科学基金重点(60635020)
长江学者创新团队发展计划资助项目。
关键词
移动最小二乘
序列响应面
轻量化
拉丁方试验设计
Moving least square Sequential response surface Lightweight Latin-square experiment design
