交通锥收放装置设计及关键部件优化

王义清¹，张洪丽^1*，王庆先^1,2，刘泽源¹

1.山东交通学院工程机械学院，山东 济南  250357；

2.江苏省产业技术研究院道路工程技术与装备研究所，江苏 徐州  221001

摘要：为解决交通锥收放装置存在收放不稳定、通用性较差、施放效率较低等问题，提出一种新型交通锥收放装置设计及关键部件优化方案，采用有限元分析软件ANSYS Workbench对交通锥收放装置中质量占比最大的一体式框架进行优化设计。在极限工况下对一体式框架进行静力学分析，基于最优空间填充设计方法进行试验设计，采用基因聚合法进行响应面拟合，得出设计点、拟合优度和相关灵敏度图，获取结构尺寸参数对几何质量、总变形、等效应力的影响关系。采用多目标遗传算法NSGA-II寻优，获得最佳优化方案。结果表明：与原模型相比，优化模型质量减少30.6%，且满足材料屈服强度和结构刚度设计要求。

关键词：交通锥收放装置；一体式框架；静力学分析；响应面拟合；多目标遗传算法NSGA-II

Design of traffic cone retractable device and optimization of key components

WANG Yiqing¹, ZHANG Hongli^1*, WANG Qingxian^1,2, LIU Zeyuan¹

1.School of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China;

2.Road Engineering Technology and Equipment Research Institute, Jiangsu Industry Research Institute, Xuzhou 221001, China

Abstract: To address the issues of unstable deployment and retrieval, poor versatility, and low deployment efficiency in traffic cone retractable device, a new design of traffic cone retractable device and optimization of key components are proposed. The finite element analysis software ANSYS Workbench is used to optimize the design of the integrated framework, which accounts for the largest proportion of mass in the traffic cone retractable device. Static analysis is performed on the integrated framework under extreme working conditions. Based on the optimal space-filling design method, the experimental design is carried out, and the response surface fitting is carried out by genetic aggregation method. The design point, goodness of fit and related sensitivity diagram are obtained, and the influence of structural size parameters on geometric quality, total deformation and equivalent stress is revealed. The multi-objective genetic algorithm NSGA-II is employed for optimization to obtain the best optimization scheme. The results show that compared with the original model, the optimized model reduces mass by 30.6% while meeting the requirements for material yield strength and structural stiffness design.

Keywords: traffic cone retractable device; integrated framework; static analysis; response surface fitting; multi-objective genetic algorithm NSGA-II