摘要
采用最优拉丁方法进行试验设计,基于Kriging模型建立汽车耐撞性评价指标的替代模型,然后利用替代模型建立耐撞性优化的数学模型并进行耐撞性优化。结果表明,基于Kriging的替代模型的拟合精度较高,采用该模型进行的优化可提高汽车的耐撞性。
The method of optimal Latin Hypercube design of experiments is adopted. A Kriging-based surrogate model for the evaluation indicators of vehicle crashworthiness is built, which is then used to set up the mathematical model for vehicle crashworthiness optimization, and a simulation is performed. The results show that Kriging-based surrogate model has higher fitting accuracy, and the optimization based on the model can improve the crashworthiness of vehicle.
出处
《汽车工程》
EI
CSCD
北大核心
2010年第1期17-21,共5页
Automotive Engineering
基金
上海市数字化汽车车身工程重点实验室开放基金(2008005)资助。