Large eddy simulation of Reynolds number impact on streamlined high-speed train flows

This study utilizes large eddy simulation (LES) to examine the impact of Reynolds number on the aerodynamic performance of a streamlined simplified Intercity-Express 3 (ICE3) high-speed train. Simulations are conducted for Reynolds numbers within 0.3×105≤ReH≤1.8×105. Validation against wind tunnel experiments shows consistent trends in the mean base pressure coefficient, with maximum errors below 3.6%, confirming the accuracy of the LES method. Results reveal that, while flow separation at the tail generates similar vortex patterns across the Reynolds numbers studied, quantitative assessments reveal a pronounced influence of the Reynolds number on wake velocity distributions and surface pressure profiles. As Reynolds number increases, the drag and lift coefficients decline, along with reduced fluctuations of force coefficients and non-dimensional turbulent kinetic energy in the wake. Additionally, significant changes in near-wall wake structures and flow attachment patterns are observed. The results highlight the importance of considering Reynolds number variations in the design and optimization of high-speed trains.

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Publication Details

Journal
Physics of Fluids
Published
2024-12-01
DOI
https://doi.org/10.1063/5.0245055
Citations
11
Primary Topic
Aerodynamics and Fluid Dynamics Research
Type
article
Field-Weighted Citation Impact
14.29

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article

Large eddy simulation of Reynolds number impact on streamlined high-speed train flows

Qian Huang, Binbin Pei, Kan He, Guang Chen et al.
11 citations
Physics of Fluids
Aerodynamics and Fluid Dynamics Research
14.29
article

Large eddy simulation of Reynolds number impact on streamlined high-speed train flows

Qian Huang, Binbin Pei, Kan He, Guang Chen, Siniša Krajnović
article en
11 citations

Abstract

This study utilizes large eddy simulation (LES) to examine the impact of Reynolds number on the aerodynamic performance of a streamlined simplified Intercity-Express 3 (ICE3) high-speed train. Simulations are conducted for Reynolds numbers within 0.3×105≤ReH≤1.8×105. Validation against wind tunnel experiments shows consistent trends in the mean base pressure coefficient, with maximum errors below 3.6%, confirming the accuracy of the LES method. Results reveal that, while flow separation at the tail generates similar vortex patterns across the Reynolds numbers studied, quantitative assessments reveal a pronounced influence of the Reynolds number on wake velocity distributions and surface pressure profiles. As Reynolds number increases, the drag and lift coefficients decline, along with reduced fluctuations of force coefficients and non-dimensional turbulent kinetic energy in the wake. Additionally, significant changes in near-wall wake structures and flow attachment patterns are observed. The results highlight the importance of considering Reynolds number variations in the design and optimization of high-speed trains.

Physics of FluidsVol. 36(12)
Chalmers University of Technology (SE)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 1%
Aerodynamics and Fluid Dynamics Research
14.29
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