Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-333-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-17-333-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Mar 2026
Research article |
| 25 Mar 2026
| 25 Mar 2026
Analysis of sensitive wavelengths in railway vehicles with different inerter-based suspension systems
Dilai Chen
School of Rail Transportation, Shanghai Institute of Technology, Shanghai 201418, China
Chunli Liu
School of Rail Transportation, Shanghai Institute of Technology, Shanghai 201418, China
Zhanghui Xia
Locomotive & Car Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
Gengchen Sun
Department of Information Engineering, Taishan Polytechnic, Taian 271001, China
Rang Zhang
CORRESPONDING AUTHOR
School of Rail Transportation, Shanghai Institute of Technology, Shanghai 201418, China
Rui Song
China Railway Test & Certification Center Co., Ltd., Beijing 100081, China
Standards and Metrology Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
Related authors
Rang Zhang, Jiwei Liu, Chenxu Lu, Dilai Chen, and Qin Li
Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-172, https://doi.org/10.5194/ms-2026-172, 2026
Preprint under review for MS
Short summary
Short summary
High-speed magnetic levitation trains require a stable gap between the vehicle and guideway for safe and smooth operation. We developed a data-driven prediction method using detailed computer simulations to estimate this gap quickly from track irregularities. The method reproduces key response patterns more accurately than several existing approaches while greatly reducing calculation time. This can support faster repeated assessment of train performance under different operating conditions.
Rang Zhang, Jiwei Liu, Chenxu Lu, Dilai Chen, and Qin Li
Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-172, https://doi.org/10.5194/ms-2026-172, 2026
Preprint under review for MS
Short summary
Short summary
High-speed magnetic levitation trains require a stable gap between the vehicle and guideway for safe and smooth operation. We developed a data-driven prediction method using detailed computer simulations to estimate this gap quickly from track irregularities. The method reproduces key response patterns more accurately than several existing approaches while greatly reducing calculation time. This can support faster repeated assessment of train performance under different operating conditions.
Short summary
This study examines how inerter-based suspensions affect rail vehicle vibration. Configurations S1, S2, and S4 are sensitive to short wavelengths (~20 m), while S3 and S5 respond to long wavelengths (~105 m). Configuration S5 outperforms the others, effectively suppressing longwave irregularities and maintaining superior ride comfort. These validated findings provide crucial insights for optimizing high-speed-train suspension designs.
This study examines how inerter-based suspensions affect rail vehicle vibration. Configurations...
