ORIGINAL RESEARCH article
Front. Phys.
Sec. Interdisciplinary Physics
Environmental Vibration Reduction Characteristics of Subway Track with Resilient Wheel
Provisionally accepted- East China Jiaotong University, Nanchang, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Environmental vibrations induced by subway systems are typically mitigated through track-based isolation measures, which are effective only in localized areas. Extending such solutions along entire lines involves prohibitive costs. To address this limitation, this study investigates the application of resilient wheels as a vehicle-based solution for mitigating vibrations across the entire line by controlling excitation at the source. A frequency-domain environmental vibration prediction model coupled with a wheel–rail interaction model is established using the 2.5D FEM – BEM approach. The simulation results are validated against field measurements, confirming the model's accuracy. Based on the validated model, the influence of key parameters of the resilient wheel, including mass, rubber stiffness, and damping — on environmental vibration is systematically analyzed. The results demonstrate that increasing the mass of the resilient wheel lowers the P2 resonance frequency but leads to a disproportionate increase in wheel–rail force. Reducing rubber stiffness shifts the P2 force toward lower frequencies and reduces environmental vibration by up to 8 dB, while increasing rubber damping effectively suppresses the P2 resonance peak, achieving a maximum vibration reduction of 2.7 dB. This study confirms that resilient wheels offer a technically viable and economically efficient strategy for line-wide environmental vibration control.
Keywords: environmental vibration, Wheel-rail interaction, Resilient wheel, Tunnel wall, 2.5D FEM-BEM
Received: 14 Oct 2025; Accepted: 25 Nov 2025.
Copyright: © 2025 Sun, Liu and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Wei Sun
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
