This paper presents an investigation aimed at enhancing the snow resistance of bogies in a three-car grouped alpine high-speed train (HST) that operates in a snowy region. The study employs a combination of the unsteady Reynolds-averaged Navier–Stokes model, coupled with the discrete phase model. This modeling approach has been validated through wind tunnel tests, including flow field tests, two-phase flow tests, and snow-ice tests. The study comprehensively compares the characteristics of the wind-snow flow, spatial snow concentration, and the distribution of snow on the train's underbody between two scenarios: the original train's underbody structure and the multifactor collaborative optimization scheme (MCOS). The results indicate that the MCOS case facilitates the escape of snow particles from the bogie cavities by weakening the upward and reverse flows. Furthermore, the MCOS case significantly reduces the concentration of snow particles around the heat-producing elements and decreases the accumulation of snow on both the lower and upper surfaces of the bogies. As a result, it reduces snow accumulation on the bogies by 50.6%, 56.4%, 60.8%, and 62.4% at train speeds of 200, 250, 300, and 350 km/h, respectively. In summary, this research provides valuable insights for improving the snow resistance of HSTs operating in snowy regions, with potential applications in enhancing railway transportation safety and efficiency.
Skip Nav Destination
Article navigation
October 2024
Research Article|
October 28 2024
Validation of numerical method of unsteady Reynolds-averaged Navier–Stokes coupled with discrete phase model and optimization for the snow-resistance performance of bogies of a high-speed train
Jiabin Wang (王家斌)
;
Jiabin Wang (王家斌)
(Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Validation, Visualization, Writing – original draft)
1
The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Central South University
, Changsha 410075, China
2
National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle, Central South University
, Changsha 410075, China
3
Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University
, Changsha 410075, China
Search for other works by this author on:
Haoyuan Liu (刘浩源);
Haoyuan Liu (刘浩源)
(Data curation, Formal analysis, Visualization)
1
The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Central South University
, Changsha 410075, China
2
National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle, Central South University
, Changsha 410075, China
3
Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University
, Changsha 410075, China
Search for other works by this author on:
Cao Liu (刘操)
;
Cao Liu (刘操)
(Methodology, Validation, Visualization)
1
The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Central South University
, Changsha 410075, China
2
National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle, Central South University
, Changsha 410075, China
3
Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University
, Changsha 410075, China
Search for other works by this author on:
Wenfei Shang (商雯斐)
;
Wenfei Shang (商雯斐)
a)
(Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing)
1
The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Central South University
, Changsha 410075, China
2
National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle, Central South University
, Changsha 410075, China
3
Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University
, Changsha 410075, China
a)Author to whom correspondence should be addressed: shang.w.f@csu.edu.cn
Search for other works by this author on:
Guangjun Gao (高广军)
;
Guangjun Gao (高广军)
(Funding acquisition, Project administration, Resources, Software, Supervision, Writing – review & editing)
1
The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Central South University
, Changsha 410075, China
2
National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle, Central South University
, Changsha 410075, China
3
Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University
, Changsha 410075, China
Search for other works by this author on:
Sinisa Krajnović
Sinisa Krajnović
(Software, Supervision, Writing – review & editing)
4
Department of Mechanics and Maritime Sciences, Chalmers University of Technology
, Gothenburg SE-41296, Sweden
Search for other works by this author on:
a)Author to whom correspondence should be addressed: shang.w.f@csu.edu.cn
Physics of Fluids 36, 105197 (2024)
Article history
Received:
July 15 2024
Accepted:
October 07 2024
Citation
Jiabin Wang, Haoyuan Liu, Cao Liu, Wenfei Shang, Guangjun Gao, Sinisa Krajnović; Validation of numerical method of unsteady Reynolds-averaged Navier–Stokes coupled with discrete phase model and optimization for the snow-resistance performance of bogies of a high-speed train. Physics of Fluids 1 October 2024; 36 (10): 105197. https://doi.org/10.1063/5.0228815
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
98
Views
Citing articles via
On Oreology, the fracture and flow of “milk's favorite cookie®”
Crystal E. Owens, Max R. Fan (范瑞), et al.
A unified theory for bubble dynamics
A-Man Zhang (张阿漫), 张阿漫, et al.
Computational fluid–structure interaction in biology and soft robots: A review
R. Pramanik, R. W. C. P. Verstappen, et al.
Related Content
Flow control for aerodynamic drag reduction of a high-speed train with diversion slots on bogie regions
Physics of Fluids (November 2023)
Numerical investigation of a high-speed train underbody flows: Studying flow structures through large-eddy simulation and assessment of steady and unsteady Reynolds-averaged Navier–Stokes and improved delayed detached eddy simulation performance
Physics of Fluids (January 2022)
Research on the drag reduction of high-speed train based on bottom two-multistage wing deflector
Physics of Fluids (May 2024)