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汽车安全与节能学报 ›› 2025, Vol. 16 ›› Issue (4): 620-628.DOI: 10.3969/j.issn.1674-8484.2025.04.012

• 智能驾驶与智慧交通 • 上一篇    下一篇

基于SIMP和GRSM算法的重型货车车架多目标结构优化

张逍1,2(), 刘勇1, 蒋雪生3, 廖益龙4, 何锋1,*()   

  1. 1 贵州大学 机械工程学院贵阳 550025, 中国
    2 比亚迪股份有限公司深圳 518119, 中国
    3 贵州长江汽车有限公司贵阳 550025, 中国
    4 贵阳信息科技学院贵阳 550025, 中国
  • 收稿日期:2024-11-15 修回日期:2025-03-25 出版日期:2025-08-30 发布日期:2025-08-27
  • 通讯作者: *何锋,教授,E-mail:15117615608@163.com
  • 作者简介:张逍(1998—),男(汉),贵州,高级工程师。E-mail:3281387843@qq.com
  • 基金资助:
    贵州省科技计划项目(黔科合支撑[2024]一般069);贵州省科技计划项目(黔科合支撑DXGA);贵州省科技计划项目(2025一般010)

Multi-objective structural optimization of heavy truck frame based on SIMP algorithm and GRSM algorithm

ZHANG Xiao1,2(), LIU Yong1, JIANG Xuesheng3, LIAO Yilong4, HE Feng1,*()   

  1. 1 School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
    2 BYD Company Limited, Shenzhen 518119, China
    3 Guizhou Changjiang Automobile Co., Ltd., Guiyang 550025, China
    4 Guiyang University of Information Technology, Guiyang 550025, China
  • Received:2024-11-15 Revised:2025-03-25 Online:2025-08-30 Published:2025-08-27

摘要:

为了解决重型货车车架的变形开裂问题,对车架进行高强度轻量化的多目标结构优化研究。以某11 m重型货车车架为研究对象,通过Hypermesh前处理软件建立有限元模型。利用固体各向同性惩罚微结构材料法(SIMP)对原车架进行多工况多目标拓扑优化,找到车架的最佳受力结构。利用全局响应面法(GRSM)对车架进行多目标尺寸优化,以降低车架质量。在满载弯曲、满载扭转、满载转弯和满载制动工况下,对车架进行静力学分析与模态分析。结果表明:优化后的重型货车车架综合平均刚度至少提高了21.1%,低阶平均动态频率至少提高8.9%,车架质量减少3.2%;从而,实现了重型货车车架高强度轻量化。

关键词: 重型货车, 车架结构, 固体各向同性惩罚微结构材料法(SIMP), 全局响应面法(GRSM), 多目标尺寸优化

Abstract:

A multi-objective structural optimization on high-strength lightweight design was conducted to address the issues of the deformation and cracking in heavy truck frames. A finite element model of the frame was established by using a pre-processing software Hypermesh with taking a specific 11-meter heavy truck frame as the research subjects. The original heavy truck frame underwent multi-condition multi-objective topology optimization using the Solid Isotropic Material with Penalization (SIMP) method to identify the optimal load-bearing structure. The global response surface method (GRSM) was employed for multi-objective dimensional optimization of the heavy truck frame to reduce its mass. The static and the modal analyses were performed on the frame under the conditions of the full-load bending, the full-load torsion, the full-load cornering, and the full-load braking. The results show that the optimized frame achieves an average stiffness increase of at least 21.1%, a minimum increase of 8.9% in low-order average dynamic frequency, and a mass reduction of 3.2%. Therefore, this has enabled the high-strength lightweighting of heavy truck frames.

Key words: heavy truck, frame construction, solid isotropic material with penalization (SIMP), global response surface method (GRSM), multi-objective size optimization

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