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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 61, 2023 - Issue 2
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Research Articles

A physical model-neural network coupled modelling methodology of the hydraulic damper for railway vehicles

Liangcheng Daia State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-5155-5370View further author information
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Maoru Chia State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6111-2768View further author information
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Zhaotuan Guoa State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaView further author information
,
Hongxing Gaob School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai, People’s Republic of ChinaView further author information
,
Xingwen Wuc School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-9000-5280View further author information
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Jianfeng Sund School of Engineering, Zhejiang Normal University, Jinhua, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-1551-4704View further author information
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Shulin Lianga State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaView further author information
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Pages 616-637 | Received 08 Sep 2021, Accepted 06 Mar 2022, Published online: 23 Mar 2022

Citations (6)

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Read on this site (1)

Chenchen Jiang, Heng Zhang, Liang Ling, Xiaolong Ma, Jianmin Gao, Xin Ding, Kaiyun Wang & Wanming Zhai. The effect of yaw damper performance degradation on carbody hunting of high-speed trains. Vehicle System Dynamics 0:0, pages 1-24.
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Articles from other publishers (5)

Hongxing Gao, Jianfeng Sun, Shiju E & Maoru Chi. (2024) Cavitation induced hydraulic yaw damper failure and its effect on railway vehicle dynamic stability. Engineering Failure Analysis 161, pages 108318.
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Liangcheng Dai, Yixiao Li, Maoru Chi, Pengcheng Zeng, Di Zhou, Jianfeng Sun & Shulin Liang. (2024) Accelerated degradation test method and performance prediction with service mileage of the yaw damper in railway vehicles. Engineering Failure Analysis 161, pages 108285.
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Jun Hyeok Hwang, Hyun Seung Jung, Jin Sung Kim, Seung Ho Ahn & Hyung Gyeun Gil. (2024) Enhancing Train Coupling Simulation by Incorporating Speed-Dependent Energy Absorber Characteristics Through a Deep Neural Network. International Journal of Automotive Technology.
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Chenchen Jiang, Heng Zhang, Liang Ling, Tao Liu, Jianmin Gao, Kaiyun Wang & Wanming Zhai. (2023) Modelling and simulation of nonlinear dynamic characteristics of yaw dampers subjected to variable temperature operation condition of high-speed trains. Nonlinear Dynamics 111:20, pages 18931-18952.
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Yixiao Li, Maoru Chi, Zhaotuan Guo & Shulin Liang. (2023) An abnormal carbody swaying of intercity EMU train caused by low wheel–rail equivalent conicity and damping force unloading of yaw damper. Railway Engineering Science 31:3, pages 252-268.
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