基于高维模型的矿用自卸车驾驶室非线性优化

中国机械工程 ›› 2014, Vol. 25 ›› Issue (17): 2408-2413.

基于高维模型的矿用自卸车驾驶室非线性优化

李伟平;窦现东;张宝珍;王振兴

湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082

出版日期:2014-09-10 发布日期:2014-09-22
基金资助:
国家高技术研究发展计划（863计划）资助项目（2012AA111802）；教育部长江学者与创新团队发展计划资助项目（531105050037）

Nonlinear Optimization of Mining Dump Truck's Cab Based on High Dimensional Model Representation

Li Weiping;Dou Xiandong;Zhang Baozhen;Wang Zhenxing

State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University,Changsha,410082

Online:2014-09-10 Published:2014-09-22
Supported by:
National High-tech R&D Program of China (863 Program) （No. 2012AA111802）

摘要/Abstract

摘要：

采用非线性有限元分析方法，对安全驾驶室翻车保护装置的强度进行了分析。选取对强度和总质量影响较大的矩形管厚度作为设计变量，利用基于薄板样条插值的高维模型（TPS-HDMR）构建设计变量与目标函数之间的近似模型。采用加入精英保持策略和去除重复个体的非支配排序遗传算法（NSGA-Ⅱ）对变形量和质量两目标进行优化。优化结果验证了该方法的可行性。

关键词: 安全驾驶室, 高维模型, 遗传算法, 结构优化

Abstract:

A nonlinear finite element analysis methodology was utilized to analyse the strength of ROPS of a safety cab herein. Additionally, some rectangular tube's thicknesses that influenced the structural strength and total weight considerably was selected as the design variables. An approximate model among design variables and objective function was established by high dimensional model representation(HDMR) based on thin plate spline interpolation（TPS-HDMR). Moreover, this paper adopted non-dominate sorting genetic algorithm(NSGA-Ⅱ) which was improved by adding elitist preserve strategy and removed duplicate individuals, for the sake of optimizing the deformation and weight simultaneously of the cab. The optimized results, the feasibility of the method proposed herein was verified.

Key words: safety cab, high dimensional model, genetic algorithm(GA), structural optimization

中图分类号:

U462.3

李伟平, 窦现东, 张宝珍, 王振兴. 基于高维模型的矿用自卸车驾驶室非线性优化[J]. 中国机械工程, 2014, 25(17): 2408-2413.

Li Weiping, Dou Xiandong, Zhang Baozhen, Wang Zhenxing. Nonlinear Optimization of Mining Dump Truck's Cab Based on High Dimensional Model Representation[J]. China Mechanical Engineering, 2014, 25(17): 2408-2413.

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链接本文: https://www.cmemo.org.cn/CN/

https://www.cmemo.org.cn/CN/Y2014/V25/I17/2408

参考文献

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