Aerodynamic Performance of High-Speed Maglev Trains Under Crosswind Conditions: A Computational Simulation Study

Journal Title: Journal of Industrial Intelligence - Year 2023, Vol 1, Issue 4

Abstract

In the realm of ground transportation, high-speed maglev trains stand out due to their exceptional stability, rapid velocity, and environmental benefits, such as low pollution and noise. However, the aerodynamic challenges faced by these lightweight, high-velocity trains significantly impact their safety and comfort, making aerodynamics a critical aspect in their design. This research delves into the dynamic aerodynamic behavior of high-speed maglev trains in the presence of crosswinds. A simulation analysis was conducted on a simplified model of a three-car maglev train, with an established aerodynamic model for the train and track beam in crosswind scenarios. The study employed three-dimensional, steady-state, incompressible N-S equations, complemented by a k-ε dual-equation turbulence model. The finite volume method was utilized to assess the flow field structure around the train and the pressure distribution on its surface under varying combinations of train speed and wind velocity. The investigation summarized the patterns and trends in aerodynamic loads across diverse conditions. Results demonstrate that at a speed of 600 km/h, the tail car is subjected to the highest aerodynamic drag, while the head car bears the maximum lateral force and overturning moment. As crosswind speeds increase from 5 m/s to 20 m/s, the tail car exhibits the largest increment in drag, reaching 16.6 kN. The front car shows the most significant rise in lateral force and overturning moment, measured at 34.11 kN and 52.45 kN·m, respectively. It is observed that the behavior of aerodynamic forces at lower and medium speeds aligns fundamentally with the patterns noted at higher speeds.

Authors and Affiliations

Yifan Yan, Yuhang Zhao, Yuze Zhang, Meiqi Wang

Keywords

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  • EP ID EP732434
  • DOI 10.56578/jii010405
  • Views 55
  • Downloads 0

How To Cite

Yifan Yan, Yuhang Zhao, Yuze Zhang, Meiqi Wang (2023). Aerodynamic Performance of High-Speed Maglev Trains Under Crosswind Conditions: A Computational Simulation Study. Journal of Industrial Intelligence, 1(4), -. https://europub.co.uk./articles/-A-732434