动车组电机吊架多目标可靠性优化设计  

Multi-objective Reliability Optimization Design of Motor Hanger for EMU

作　　者：李永华[1] 李东明[1] 宫琦[1] 吴永鑫 LI Yonghua;LI Dongming;GONG Qi;WU Yongxin(School of Locomotive and Rolling Stock Engineering,Dalian Jiaotong University,Dalian 116028,Liaoning,China)

机构地区：[1]大连交通大学机车车辆工程学院,辽宁大连116028

出　　处：《机械科学与技术》2021年第7期1100-1105,共6页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(51875073);辽宁省教育厅科学研究项目(JDL2019005);辽宁省高等学校创新团队支持计划(LT2016010);大连市科技创新基金计划(2019J11CY017)。

摘　　要：为提高高速动车组电机吊架的承载能力,考虑几何参数的随机性,将响应面法和多目标遗传算法相结合对其进行可靠性优化设计。首先,对电机吊架进行静强度和位移灵敏度分析,找出设计变量;其次,对设计变量进行中心组合试验设计,根据试验设计点来拟合静强度和位移的多项式响应面模型;然后,将几何参数的随机性转化为可靠度,运用最小二乘法拟合可靠度函数方程作为约束条件;最后,运用多目标遗传算法对电机吊架进行可靠性优化设计。研究结果表明:响应面法与结构可靠性优化方法相结合,可以简化求解过程,提高优化结果的可靠度。In order to improve the bearing capacity of high-speed electric multiple units(EMU)motor hangers,considering the randomness of geometric parameters,the response surface method is combined with multi-objective genetic algorithm to optimize its reliability.Firstly,the static strength and displacement sensitivity analysis of the motor hanger are finished to find the design variables;secondly,the central combination test design is carried out for the design variables,and the polynomial response surface model of static strength and displacement is fitted according to the test design points;then,the randomness of geometric parameters is transformed into reliability,and the least square method is used to fit the reliability function equation as the constraint condition;finally,the multi-objective genetic algorithm is used to optimize the reliability of the motor hanger.The research results show that the combination of response surface method and structural reliability optimization method can simplify the solution process and improve the reliability of optimization results.

关 键 词：电机吊架 响应面模型 可靠性优化 多目标遗传算法 

分 类 号：U271.91[机械工程—车辆工程]