Chapter
Jul 2, 2019
A Global Optimization Method for Suspension Parameters of High-Speed Rail Vehicle Based on RBF Surrogate Model
Authors: Yue Yang, Chuanxin Li [email protected], Daole Wu, Xiaobin Wei, Panpan Wang, and Wenlong LiuAuthor Affiliations
Publication: CICTP 2019
Abstract
Considering the influence of running conditions on the running performance of high-speed rail vehicles, the global optimization of rail vehicle suspension parameters can improve the adaptability of rail vehicles under multiple running conditions. The parameters that have a significant effect on the rail vehicle running performance are selected via the sensitivity analysis of rail vehicle suspension parameters. Taking account of four typical running conditions in the process of rail vehicle running, the rail vehicle running performance surrogate model under multiple running conditions based on the RBF surrogate model method is employed. This study vitally provides the theory and databases for the global optimization of suspension parameters and has a certain reference significance to improve the running performance of rail vehicles.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Yue Yang
The State Key Laboratory of Heavy Duty AC Drive Electric Locomotive Systems Integration, CRRC Zhuzhou Locomotive Co. Ltd., Zhuzhou 412000, China; School of Traffic and Transportation Engineering, Central South Univ., Changsha 410075, China.
School of Traffic and Transportation Engineering, Central South Univ., Changsha 410075, China. E-mail: [email protected]
Daole Wu
The State Key Laboratory of Heavy Duty AC Drive Electric Locomotive Systems Integration, CRRC Zhuzhou Locomotive Co. Ltd., Zhuzhou 412000, China.
Xiaobin Wei
The State Key Laboratory of Heavy Duty AC Drive Electric Locomotive Systems Integration, CRRC Zhuzhou Locomotive Co. Ltd., Zhuzhou 412000, China; School of Traffic and Transportation Engineering, Central South Univ., Changsha 410075, China.
Panpan Wang
School of Traffic and Transportation Engineering, Central South Univ., Changsha 410075, China.
Wenlong Liu
School of Traffic and Transportation Engineering, Central South Univ., Changsha 410075, China.
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