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Wind and Structures Volume 30, Number 4, April 2020 , pages 325-338 DOI: https://doi.org/10.12989/was.2020.30.4.325 |
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Optimization of the anti-snow performance of a high-speed train based on passive flow control |
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Guangjun Gao, Zhen Tian, Jiabin Wang, Yan Zhang, Xinchao Su and Jie Zhang
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| Abstract | ||
| In this paper, the improvement of the anti-snow performance of a high-speed train (HST) is studied using the unsteady Reynolds-Averaged Navier-Stokes simulations (URANS) coupled with the Discrete Phase Model (DPM). The influences of the proposed flow control scheme on the velocity distribution of the airflow and snow particles, snow concentration level and accumulated mass in the bogie cavities are analyzed. The results show that the front anti-snow structures can effectively deflect downward the airflow and snow particles at the entrance of the cavities and alleviate the strong impact on the bogie bottom, thereby decrease the local accumulated snow. The rotational rear plates with the deflecting angle of 45 | ||
| Key Words | ||
| bogie cavity; High-Speed Train (HST); numerical simulation; passive flow control | ||
| Address | ||
| Guangjun Gao, Zhen Tian, Jiabin Wang, Yan Zhang, Xinchao Su and Jie Zhang: Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China Z2Joint International Research Laboratory of Key Technology for Rail Traffic Safety, Central South University, Changsha 410075, China National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle, Changsha 410075, China | ||