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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 62, 2024 - Issue 5
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Research Articles

Suspension parameter optimal design to enhance stability and wheel wear in high-speed trains

Xiangwang Chena State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaView further author information
,
Longjiang Shenb Bogie R&D Department, CRRC Zhuzhou Electric Locomotive Co., Ltd., Zhuzhou, People’s Republic of ChinaView further author information
,
Xiaoyi Huc Railway Science & Technology Research & Development Centre, China Academy of Railway Sciences Corporation Limited, Beijing, People’s Republic of ChinaView further author information
,
Guang Lia State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaView further author information
&
Yuan Yaoa State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2279-7463View further author information
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Pages 1230-1252 | Received 07 Dec 2022, Accepted 08 Jun 2023, Published online: 14 Jun 2023

Citations (4)

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Read on this site (1)

Hu Li, Yuan Yao & Xiangwang Chen. Suspension parameter optimization for high-speed train with severe tread wear. International Journal of Rail Transportation 0:0, pages 1-21.
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Articles from other publishers (3)

Yixiao Li, Liangcheng Dai, Zhaotuan Guo & Maoru Chi. (2024) Carbody abnormal lateral vibration failure of high–speed train induced by the coupling factor of the wheel re–profiling method and excessive rail wear. Engineering Failure Analysis 160, pages 108170.
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Azad Duppala, Srihari Palli, Rallabandi Sivasankara Raju, Dowluru Sreeramulu, Suman Pandipati & Pavan Kumar Rejeti. 2024. Intelligent Transportation System and Advanced Technology. Intelligent Transportation System and Advanced Technology 355 374 .
Sunil Kumar Sharma, Rakesh Chandmal Sharma, Yeongil Choi & Jaesun Lee. (2023) Modelling and Dynamic Analysis of Adaptive Neuro-Fuzzy Inference System-Based Intelligent Control Suspension System for Passenger Rail Vehicles Using Magnetorheological Damper for Improving Ride Index. Sustainability 15:16, pages 12529.
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