基于NSGA-Ⅱ算法的平板清障车结构多目标优化  

Multi-objective structure optimization of flat wrecker based on NSGA-Ⅱalgorithm

作　　者：谢周平 王龙珠 朱春东 金弘睿 Xie Zhouping;Wang Longzhu;Zhu Chundong;Jin Hongrui

机构地区：[1]中国重汽集团湖北华威专用汽车有限公司,随州441300 [2]武汉理工大学交通与物流工程学院,武汉430000 [3]随州武汉理工大学工业研究院,随州441300

出　　处：《起重运输机械》2025年第4期35-41,共7页Hoisting and Conveying Machinery

摘　　要：文中提出了一种基于NSGA-Ⅱ算法的平板清障车结构多目标优化方法,在保证清障车在实现结构轻量化的同时拥有更好的安全性能。首先在Ansys中建立有限元模型,获得了输入输出变量的参数文件,其中包括结构的优化设计样本点。然后借助Matlab平台使用NSGA-Ⅱ算法进行多目标优化,在Isight平台上对迭代过程进行监控,从托盘和托梁的Pareto解集中获得最优方案。最后与初始值进行比较,显示整车减重率为14.49%。A novel multi-objective structural optimization approach for flat wreckers,leveraging the NSGA-Ⅱ algorithm,has been developed to ensure a lightweight design while enhancing safety performance.The process began with the construction of a finite element model in Ansys,from which input and output parameter files were generated,encompassing the optimal design sample points for the structure.Subsequently,utilizing the Matlab platform,the NSGA-Ⅱ algorithm was deployed for multi-objective optimization.The iterative optimization process was overseen by the iSIGHT platform,yielding the optimal scheme from the Pareto solution sets for both the tray and joist.Ultimately,the optimized design resulted in a 14.49%reduction in the vehicle’s weight compared to the initial configuration.

关 键 词：平板清障车 有限元分析 多目标优化 NSGA-Ⅱ ISIGHT 

分 类 号：U469.6[机械工程—车辆工程]