基于Kriging近似模型的车架轻量化优化

LIGHTWEIGHT OPTIMIZATION OF VEHICLE FRAME STRUCTURE BASED ON THE KRIGING APPROXIMATE MODEL

为了在减轻车架重量的同时尽可能提高其动、静态结构性能,以车架纵梁、横梁结构参数为设计变量,特别采用最优拉丁实验设计方法进行了样本数据设计,并运用Kriging方法构建了车架NVH、扭转刚度、弯曲刚度及车架质量等性能参数的多目标优化系统的近似模型,利用模糊多目标粒子群算法对近似模型进行了优化,得到了Pereto最优解集。结果表明,所建立的Kriging近似模型适合解决组合优化问题,在多个性能指标满足设计要求的同时,成功实现了车架结构的轻量化。

In order to reduce the weight of the frame and improve the static and dynamic performance of frame structure,the structure parameters of frame beam,crossbeam were served as the design variables,sampling points were obtained by using optimal Latin squares design of experimental method.The Kriging method was adopted for the multi-objective system of the frame NVH,torsional stiffness,bending stiffness and frame quality,an approximate model was optimized by using NSGA,and then the Pareto optimal solution set was obtained.