2023
DOI: 10.37934/cfdl.15.1.7687
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Effect of Reynolds number on the wake of a Next-Generation High-Speed Train using CFD analysis

Abstract: Improvement to the next-generation high-speed train (NG-HST) is ongoing particularly in achieving a higher operating speed. Consequently, the aerodynamic effect of the train will be more critical as it affects the development of a wake flow characterized by complex and unsteady structures. Although the effect of Reynolds number (Re) on aerodynamic forces is negligible, its effect on the wake of NG-HSTs is unknown. In this study, the Re ranging from 7.42 × 105 to 1.62 × 106 was used to examine the characteristi… Show more

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Cited by 2 publications
(2 citation statements)
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“…All these advantages, come at a cost. The aerodynamic performance of the train is strongly impacted by its speed, creating issues with operational performance and safety, especially when traveling near a tunnel [3][4][5][6][7][8]. Moreover, moving in the opposite direction of the wind provides a crosswind component on the item, increasing the apparent wind loads on the object [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…All these advantages, come at a cost. The aerodynamic performance of the train is strongly impacted by its speed, creating issues with operational performance and safety, especially when traveling near a tunnel [3][4][5][6][7][8]. Moreover, moving in the opposite direction of the wind provides a crosswind component on the item, increasing the apparent wind loads on the object [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Presently, thank the considerable development of computational resources, and numerical method, RANSE method is broadly applied to solve the hydrodynamics problems in general [5][6][7] and ship hydrodynamic problems in particular [4,[7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. In comparison with the experiment, RANSE method provides relatively reliable results, saving computational time and expenditure as no physical model requires [8,10,24].…”
Section: Introductionmentioning
confidence: 99%