Review of Maglev Train Dynamics Research
[Objective] To ensure the operational stability and safety of maglev trains, current research achievements in China and abroad on maglev train dynamics performance are summarized, while prospecting future research directions. [Method] Based on UM (universal mechanism) dynamics simulation software, r...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Urban Mass Transit Magazine Press
2025-06-01
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| Series: | Chengshi guidao jiaotong yanjiu |
| Subjects: | |
| Online Access: | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.20230423.html |
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| Summary: | [Objective] To ensure the operational stability and safety of maglev trains, current research achievements in China and abroad on maglev train dynamics performance are summarized, while prospecting future research directions. [Method] Based on UM (universal mechanism) dynamics simulation software, research findings on various aspects, including vehicle suspension parameters, suspension frame structures, multi-unit train dynamics, active suspension control algorithms, passive suspension fitting models, vehicle-track dynamics, train dynamics under crosswind loads, and bridge dynamic responses are summarized, and future research directions are prospected. [Result & Conclusion] Existing studies predominantly employ simplified suspension frame modeling with insufficient consideration of lateral effects such as guidance forces. Therefore，future research should refine suspension frame models, account for vehicle lateral vibrations, and further investigate the system dynamics of maglev vehicles. Most studies on dynamic responses under crosswind loads rely on numerical simulations, highlighting the need to examine the resonance effects between wind forces and vehicle-bridge structures. Active suspension control algorithms and passive suspension fitting models significantly impact dynamics simulation performance. Introducing suspension models into UM software can optimize suspension parameters and dynamics indicators, improving train operational stability and safety. Current research on maglev train turnouts mainly focuses on straight turnout conditions, with limited exploration on coupled vibrations when trains pass through in the diverging direction. So a train-turnout coupled dynamics model should be developed in the future to analyze the coupled vibration characteristics. Additionally, adopting multi-flexible-body rigid-flexible coupled dynamics models can more accurately reflect vehicle dynamic responses. Further studies are needed on train-bridge coupled actions during braking, evaluating the response characteristics of train-bridge and train-station dynamics models, as well as the comfort and safety of bridge and station structures under longitudinal forces. |
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| ISSN: | 1007-869X |