| 注册
首页|期刊导航|重庆理工大学学报|特种车辆伸缩臂力学特性分析与多目标优化设计

特种车辆伸缩臂力学特性分析与多目标优化设计

房占鹏 赵留凯 熊忠林 肖艳秋 姚雷

重庆理工大学学报2026,Vol.40Issue(11):98-106,9.
重庆理工大学学报2026,Vol.40Issue(11):98-106,9.DOI:10.3969/j.issn.1674-8425(z).2026.06.012

特种车辆伸缩臂力学特性分析与多目标优化设计

Mechanical characterization and multi-objective optimization design of telescopic boom for special vehicles

房占鹏 1赵留凯 1熊忠林 2肖艳秋 1姚雷1

作者信息

  • 1. 郑州轻工业大学 智能隧道掘进装备河南省协同创新中心,郑州 450002
  • 2. 深蓝汽车科技有限公司,重庆 401133
  • 折叠

摘要

Abstract

To improve static and dynamic performance and lightweight design of forklift telescopic booms,this paper proposes a multi-objective optimization method based on hybrid surrogate model and combined weighting-grey correlation method.Taking the cross-sectional parameters of the telescopic boom as input variables,this paper employs Spearman correlation analysis to identify the design variables that markedly influence the output responses.Using mass,total deformation,maximum stress,and second-order modal frequency as responses,a RBFNN-RSM hybrid surrogate model is built and combined with the NSGA-Ⅱ algorithm to perform multi-objective optimization of the telescopic boom.For the Pareto solution set generated by the optimization,a game theory-based subjective-objective weighting method is employed to determine the weights of the output responses.All non-dominated Pareto solutions are ranked by the gray correlation analysis to select the global optimal solution.Results show the mass of the optimized telescopic boom is down by 15.22%whereas the second natural frequency is up by 7.59%compared with the original design.

关键词

伸缩臂/多目标优化/组合赋权-灰色关联法/混合近似模型/相关性分析

Key words

telescopic boom/multi-objective optimization/combined weighting-grey correlation method/hybrid surrogate model/correlation analysis

分类

机械制造

引用本文复制引用

房占鹏,赵留凯,熊忠林,肖艳秋,姚雷..特种车辆伸缩臂力学特性分析与多目标优化设计[J].重庆理工大学学报,2026,40(11):98-106,9.

基金项目

国家自然科学基金面上项目(52477227) (52477227)

河南省高等教育重点项目计划(24A460024) (24A460024)

重庆理工大学学报

1674-8425

访问量0
|
下载量0
段落导航相关论文