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Dynamics Performance Research and Calculation of Speed Threshold Curve for High-Speed Trains Under Unsteady Wind Loads

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Listed:
  • Gaoyang Meng

    (School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Jianjun Meng

    (School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

Affected by strong wind environments, the vibration of trains will significantly intensify, which will severely impact the running quality of trains. To address such challenges, an improved wind load model is proposed in this paper to simulate the shock of strong wind on trains. The proposed model employs the integral approach to calculate the equivalent wind load on trains and applies it to the body of trains during the dynamics simulation process. Eventually, the two-level running quality threshold curve for passenger and freight trains is acquired through the conditional probability density function and the regularized regression model. This achievement covers train speed restrictions for wind speeds ranging from 0~25 m/s, providing a scientific basis for railway departments to adjust train speeds based on real-time wind speeds. It is of utmost importance for ensuring the safe and efficient operation of trains under strong wind conditions.

Suggested Citation

  • Gaoyang Meng & Jianjun Meng, 2024. "Dynamics Performance Research and Calculation of Speed Threshold Curve for High-Speed Trains Under Unsteady Wind Loads," Mathematics, MDPI, vol. 12(23), pages 1-18, November.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3780-:d:1533379
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    References listed on IDEAS

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    1. Doubrawa, Paula & Churchfield, Matthew J. & Godvik, Marte & Sirnivas, Senu, 2019. "Load response of a floating wind turbine to turbulent atmospheric flow," Applied Energy, Elsevier, vol. 242(C), pages 1588-1599.
    2. Banerjee, Arundhuti & Chakraborty, Tanusree & Matsagar, Vasant, 2019. "Dynamic analysis of an offshore monopile foundation used as heat exchanger for energy extraction," Renewable Energy, Elsevier, vol. 131(C), pages 518-548.
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