Structural optimization of the levitation bogie longitudinal beam of a med-low speed maglev train

被引：0
|
作者：
Zhang, Mingkang [1 ,2 ]
Xiao, Qian [1 ]
Lei, Cheng [2 ]
Shi, Xiaodie [1 ]
Wang, Aibin [3 ]
Fu, Yuanhang [1 ]
机构：
[1] Key Lab. of Railway Industry on Intelligent Operation and Maintenanee for Locomotive and Vehicle, East China Jiaotong University, Nanchang,330013, China
[2] Henan Engineering Research Center of Rail Transit Intelligent Security, Zhengzhou,451460, China
[3] CRRC Changchun Railway Vehicles Co., Ltd., Changchun,130062, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2024年 / 43卷 / 14期
关键词：
To optimize the levitation bogie structure of a med-low speed maglev vehicle for obtaining ideal bearing capacity and meeting the lightweight design requirements; the finite element model of the levitation bogie was established by using a finite element software. Under key working conditions; the levitation bogie structure was numerically analyzed; and the reliability of the finite element model was verified by a strength test. The longitudinal beam of the levitation bogie was selected as the analisis object; and the surrogate models of the target parameters with respect to the design variables were constructed based on the polynomial response surface method and Kriging method respectively. Three surrogate models were compared to obtain the optimal one. The optimal solution set of the surrogate model was obtained by using a multi-objective optimization algorithm; and the optimal results were verified by the numerical simulation of examples. The results indicate that the fitting accuracy of the Kriging response surface model is higher than that of the polynomial linear and quadratic response surface model. Compared to the original design scheme; the optimized levitation bogie frame structure reduces the mass of the longitudinal beam structure by 16. 9% under the premise of meeting the strength and reliability requirements. © 2024 Chinese Vibration Engineering Society. All rights reserved;
D O I：
10.13465/j.cnki.jvs.2024.14.021
中图分类号：
学科分类号：
摘要：
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页码：180 / 188
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