A numerical study of snow accumulation on the bogies of high-speed trains based on coupling improved delayed detached eddy simulation and discrete phase model
Inledande text i tidskrift, 2018

© IMechE 2018. A numerical simulation method based on the improved delayed detached eddy simulation coupled with a discrete phase model is used to study the influence of the snow on the performance of bogies of a high-speed train running in snowy weather. The snow particle trajectories, mass of snow packing on the bogie, and thickness of snow accumulation have been analyzed to investigate the flow mechanisms of snow accumulation on different parts of the bogies. The results show that the snow accumulation on the first bogie of the head vehicle is almost the same as that of the second bogie, but the total accumulated snow on the top side of the second bogie is more than 74% higher than that of the first bogie. Among all the components of the bogies, the motors were found to be strongly influenced by the snow accumulation. The underlying flow mechanisms responsible for the snow accumulations are discussed.

High-speed train aerodynamics

discrete phase model

train bogie

snow accumulation

improved delayed detached eddy simulation

Författare

Mingyang Liu

Central South University

National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle

Jiabin Wang

Central South University

National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle

Huifen Zhu

National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle

Central South University

Sinisa Krajnovic

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

Guangjun Gao

Central South University

National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle

Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

0954-4097 (ISSN)

Ämneskategorier

Teknisk mekanik

Farkostteknik

Strömningsmekanik och akustik

DOI

10.1177/0954409718805817

Mer information

Senast uppdaterat

2019-10-14