塔架滑移系统受力拉板多目标优化设计  

Multi-objective optimization design of tension plate for tower sliding system

作　　者：鞠成伟 胡弦旋 孙旋[1,2] 张更娥[4] 毛立青 Ju Chengwei;Hu Xianxuan;Sun Xuan;Zhang Genge;Mao Liqing

机构地区：[1]桂林理工大学机械与控制工程学院,桂林541000 [2]广西高校先进制造与自动化技术重点实验室(桂林理工大学),桂林541006 [3]广西壮族自治区特种设备检验研究院,南宁5303004 [4]南宁学院智能制造学院,南宁530000 [5]中国石油天然气第六建设有限公司,桂林541004

出　　处：《起重运输机械》2025年第2期29-36,共8页Hoisting and Conveying Machinery

基　　金：广西重点研发计划(桂科AB22080008);广西特种工程装备与控制重点实验室2024年开放基金(2411KFYB02)。

摘　　要：文中以无晃动塔架滑移系统中的主要承重核心——滑移拉板为研究对象,针对滑移拉板在承重50tf后出现不同程度的应力、形变大的问题,在保证结构满足强度要求的情况下,利用Solid Works软件进行三维建模,并结合Ansys软件搭建仿真分析平台。以滑移拉板厚度、滑移拉板宽度、滑移拉板长度为设计变量,以滑移拉板的最大应力、最大变形和质量为响应,并基于响应面利用多目标遗传(MOGA)优化算法对滑移拉板进行多目标优化设计。结果表明,优化后的滑移拉板最大应力降低了23.55%,最大变形降低了27.1%,几何结构质量降低了0.3%。优化后减少了无晃动塔架滑移系统关键部件的应变和应力集中,能够快速有效地获得滑移拉板多目标优化的最优解。Taking the sliding tension plate,which is a main load-bearing part in the sliding system of sway-free tower,as the research object,considering the problems of different degrees of stress and large deformation of the sliding tension plate after bearing 50 tf,under the condition of ensuring that the structure meets relevant strength requirements,threedimensional modeling was performed by using the SolidWorks software,and a simulation analysis platform was built with Ansys software.Taking the thickness,width and length of sliding plate as design variables,the maximum stress,maximum deformation and mass of sliding plate as response data,and based on response surface,the multi-objective optimization design of sliding plate was carried out by using multi-objective genetic(MOGA)optimization algorithm.The results show that the maximum stress,the maximum deformation and the geometric structure quality of the optimized sliding plate were reduced by 23.55%,27.1%and 0.3%,respectively.After optimization,the strain and stress concentration of key components of the sliding system of the sway-free tower were reduced,and the optimal solution of multi-objective optimization of sliding plate can be obtained quickly and effectively.

关 键 词：塔架 滑移拉板 响应面法 多目标遗传算法 多目标优化 

分 类 号：TM315[电气工程—电机]