Abstract
To determine the optimal body shape for a specific power-distributed high-speed train, this paper employes a three-dimensional incompressible Unsteady Reynolds Averaged Navier-Stokes(URANS) method and the Shear Stress Transport(SST) k-w turbulence model. Three train body and air conditioner profiles are considered: a flat wall with a high air conditioner, a bulging wall with a high air conditioner, and bulging wall with a low air conditioner. This paper analyzes the train ' s aerodynamic coefficients and the average pressure on windows and air conditioner under eight different operating conditions with yaw angles of 0°, 20°, 40°, 45°, 55°, 60°, 70°, and 90° at a combined wind speed of 60 m/s. The results show that at yaw angles less than 20°, there is minimal impact on the train's aerodynamic performance based on different sidewall and air conditioner profiles. As the yaw angle increases, the aerodynamic performance of the flat wall with high air conditioner profile deteriorates in comparison to the bulging wall with high air conditioner and bulging wall with low air conditioner profiles. For instance, at a yaw angle of 55°for the lead car, the side force coefficient, lift coefficient, and rolling moment coefficient of the bulging wall with high air conditioner profile are reduced by 23.3%,3.4%, and 27.3%, respectively, compared to the flat wall with high air conditioning profile. Furthermore, regarding the leeward side window pressure, both the bulging wall with high air conditioner and bulging wall with low air conditioner profiles experience approximately a 59% reduction compared to the flat wall with high air conditioner profile. Overall, the bulging wall with low air conditioner profile exhibits the best aerodynamic performance.
Translated title of the contribution | Impact of changes in sidewall and air conditioner profiles on train aerodynamic performance under different yaw angles |
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Original language | Chinese (Simplified) |
Pages (from-to) | 82-90 |
Number of pages | 9 |
Journal | Beijing Jiaotong Daxue Xuebao/Journal of Beijing Jiaotong University |
Volume | 47 |
Issue number | 5 |
DOIs | |
Publication status | Published - Oct 2023 |
Keywords
- crosswind
- train aerodynamic performance
- body profile
- air conditioner
- computational fluid dynamics