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Wind and Structures
  Volume 35, Number 6, December 2022 , pages 405-418
DOI: https://doi.org/10.12989/was.2022.35.6.405
 


Investigation of aerodynamic behaviour of a high-speed train on different railway infrastructure scenarios under crosswind
Jiqiang Niu, Yingchao Zhang, Zhengwei Chen, Rui Li and Huadong Yao

 
Abstract
    The aerodynamic behaviour of a CRH high-speed train under three infrastructure scenarios (flat ground, embankment, and viaduct) in the presence of a crosswind was simulated using a 1/8th scaled train model with three cars and the IDDES framework. The time-averaged and instantaneous flow field around the model were examined. The employed numerical algorithm was verified through a wind tunnel test, and the grid and timestep resolution analyses were conducted to ensure the reliability of the data. It was noted that the flow around the rail line was different under different infrastructure scenarios, especially in the case of the embankment, which degraded the aerodynamic performance of the train under the crosswind. The flow around the train on the flat ground and viaduct was different, although the aerodynamic performance of the train was similar in both cases. Moreover, the viaduct accidents were noted to have the most critical consequences, thereby requiring the most attention. The aerodynamic performance of the train on the windward track of the embankment under the crosswind was worse than that of the train on the leeward track. But for the other two infrastructure scenarios, the aerodynamic performance of the train on the windward track is relatively dangerous, which is mainly caused by the head car. These observations suggest that the aerodynamic behaviour of the train on an embankment under a crosswind must be carefully considered and that certain wind protection measures must be adopted around rail lines in windy areas.
 
Key Words
    aerodynamic behaviour; crosswind; high-speed train; IDDES; infrastructure scenario
 
Address
Jiqiang Niu: 1)State Key Laboratory of Automotive Simulation and Control, College of Automotive Engineering, Jilin University,
Changchun 130025, Jilin, China
2)School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Yingchao Zhang:State Key Laboratory of Automotive Simulation and Control, College of Automotive Engineering, Jilin University,
Changchun 130025, Jilin, China

Zhengwei Chen:Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University,
Hung Hom, Kowloon, Hong Kong, China

Rui Li:School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China

Huadong Yao:Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, 41296, Sweden
 

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