Dynamics of Train–Track–Subway System Interaction—A Review

This study provides a comprehensive review of advancements in the field of train–track–subway system interaction dynamics and suggests future directions for research and development. Mathematical modeling of train–track–subway interaction system is addressed, including wheel–track contact mechanics and wear, train multibody dynamics, train–track system coupling dynamics, track slab subsystem dynamics, subway tunnel–ground interaction models, building vibration excited by ground-borne seismic waves, and noise. Advanced computing and simulation techniques used for numerical studies of the dynamics of train–track–subway system interaction in the past two decades are also addressed, including high-performance computing with efficient algorithms, multi-physics and multi-scale simulation, real-time hardware-in-the-loop simulation, and laboratory and field validation. The study extends the applications of train–track–subway interaction dynamics to subway route planning, structural and material design, subway maintenance, operations safety and reliability, and passenger comfort. Emerging technologies and future perspectives are also reviewed and discussed, including artificial intelligence, smart sensing and real-time monitoring, digital twin technology, and sustainable design integration.

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Publication Details

Journal
Machines
Published
2025-11-03
DOI
https://doi.org/10.3390/machines13111013
Citations
2
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
1.43
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article

Dynamics of Train–Track–Subway System Interaction—A Review

Lu Sun, Junpei Zhang, Mohammad Seyedkazemi, Charles C. Nguyen
2 citations
Machines
Railway Engineering and Dynamics
1.43
article

Dynamics of Train–Track–Subway System Interaction—A Review

Lu Sun, Junpei Zhang, Mohammad Seyedkazemi, Charles C. Nguyen
article en
2 citations

Abstract

This study provides a comprehensive review of advancements in the field of train–track–subway system interaction dynamics and suggests future directions for research and development. Mathematical modeling of train–track–subway interaction system is addressed, including wheel–track contact mechanics and wear, train multibody dynamics, train–track system coupling dynamics, track slab subsystem dynamics, subway tunnel–ground interaction models, building vibration excited by ground-borne seismic waves, and noise. Advanced computing and simulation techniques used for numerical studies of the dynamics of train–track–subway system interaction in the past two decades are also addressed, including high-performance computing with efficient algorithms, multi-physics and multi-scale simulation, real-time hardware-in-the-loop simulation, and laboratory and field validation. The study extends the applications of train–track–subway interaction dynamics to subway route planning, structural and material design, subway maintenance, operations safety and reliability, and passenger comfort. Emerging technologies and future perspectives are also reviewed and discussed, including artificial intelligence, smart sensing and real-time monitoring, digital twin technology, and sustainable design integration.

MachinesVol. 13(11)
Central South University (CN), Rochester Institute of Technology (US), University of Illinois Urbana-Champaign (US), University of America (US)
Openalex Percentile: Top 17%
Railway Engineering and Dynamics
1.43
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Dynamics of Train–Track–Subway System Interaction—A Review — Lu Sun, Junpei Zhang, et al. · Machines (2025) | TGRS Research Map | TGRS