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

REN Ming; SUN Tao; SHI YongJin; ZHENG SongLin; LI YuGang

doi:10.16579/j.issn.1001.9669.2019.06.017

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

更新时间：2022-09-22

- LIGHTWEIGHT OPTIMIZATION OF VEHICLE FRAME STRUCTURE BASED ON THE KRIGING APPROXIMATE MODEL
- Journal of Mechanical Strength Vol. 41, Issue 6, Pages: 1372-1377(2019)
- 作者机构：
  
  1. 上海理工大学机械工程学院
  2. 上汽商用车技术中心
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2019.06.017
  CLC：
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REN Ming, SUN Tao, SHI YongJin, et al. LIGHTWEIGHT OPTIMIZATION OF VEHICLE FRAME STRUCTURE BASED ON THE KRIGING APPROXIMATE MODEL. [J]. 41(6):1372-1377(2019)
DOI：

REN Ming, SUN Tao, SHI YongJin, et al. LIGHTWEIGHT OPTIMIZATION OF VEHICLE FRAME STRUCTURE BASED ON THE KRIGING APPROXIMATE MODEL. [J]. 41(6):1372-1377(2019) DOI： 10.16579/j.issn.1001.9669.2019.06.017.

摘要

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。

Abstract

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.

关键词

车架近似模型最优拉丁实验设计Kriging方法模糊多目标粒子群算法轻量化

Keywords

FrameApproximate modelOptimal Latin squares designKriging methodNSGALightweight

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