Journal ArticleDOI
A study of snow accumulating on the bogie and the effects of deflectors on the de-icing performance in the bogie region of a high-speed train
Jiabin Wang,Jiabin Wang,Jie Zhang,Jie Zhang,Fei Xie,Fei Xie,Yan Zhang,Yan Zhang,Guangjun Gao,Guangjun Gao +9 more
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TLDR
In this article, a numerical simulation method based on the Realizable k - e turbulence model and Discrete Phase Model (DPM) was used to investigate the mechanism of snow accumulation on the bogie by analysing the characteristics of movement of snow particles.About:
This article is published in Cold Regions Science and Technology.The article was published on 2018-04-01. It has received 37 citations till now. The article focuses on the topics: Bogie & Snow.read more
Citations
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Journal ArticleDOI
Review of research on high-speed railway aerodynamics in China
TL;DR: This paper systematically summarizes the aerodynamic research relating to China’s high-speed railway network, and eight future development directions for the field of railway aerodynamics are proposed.
Journal ArticleDOI
The effect of bogie fairings on the slipstream and wake flow of a high-speed train. An IDDES study
TL;DR: In this article, an improved delayed detached eddy simulation (IDDES) method based on shear-stress transport k-ω turbulence model has been used to investigate the slipstream and wake flow around a high-speed train with different bogie fairings at Re
Journal ArticleDOI
Impact of bogie cavity shapes and operational environment on snow accumulating on the bogies of high-speed trains
TL;DR: In this paper, the effects of the shape of the bogie cut outs, the running speed of high speed trains and the snow particle density and diameter on the snow accumulation and particle movement characteristics were investigated.
Journal ArticleDOI
Numerical study on the anti-snow performance of deflectors in the bogie region of a high-speed train using the discrete phase model:
TL;DR: In this article, the three-dimensional unsteady Reynolds-averaged Navier-Stokes equations with an RNG double-equation turbulence model and a discrete phase model were used for the investigation of sn...
Journal ArticleDOI
Effect of bogie fairings on the flow behaviours and aerodynamic performance of a high-speed train
TL;DR: In this article, the authors present a numerical investigation of unsteady aerodynamic performance of a high-speed train with different configurations of bogie fairings using an improved delayed detached-eddy simula.
References
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Book
An Introduction to Computational Fluid Dynamics: The Finite Volume Method
TL;DR: This chapter discusses the development of the Finite Volume Method for Diffusion Problems, a method for solving pressure-Velocity Coupling in Steady Flows problems, and its applications.
Journal ArticleDOI
A new k-ϵ eddy viscosity model for high reynolds number turbulent flows
TL;DR: In this article, a new k -ϵ eddy viscosity model, which consists of a new model dissipation rate equation and a new realizable eddy viscous formulation, is proposed.
Journal ArticleDOI
Aerodynamic behaviour investigation of the new EMUV250 train to cross wind
TL;DR: In this paper, a numerical-experimental procedure for the aerodynamic optimisation of the new train AnsaldoBreda EMUV250 in terms of behaviour to cross wind is presented.
Journal ArticleDOI
Impact of ground and wheel boundary conditions on numerical simulation of the high-speed train aerodynamic performance
TL;DR: In this paper, the aerodynamic performance of a high speed train with moving ground and rotating wheels (MG&RW) conditions has been investigated using Computational Fluid Dynamic (CFD), and numerical simulations under the condition of stationary ground and moving ground are also compared and discussed.
Journal ArticleDOI
Comparison of a new Eulerian model with a modified Lagrangian approach for particle distribution and deposition indoors
Alvin C.K. Lai,Fangzhi Chen +1 more
TL;DR: This work presents and compares both Eulerian and Lagrangian models to simulate particle dispersion in a small chamber and reveals that the standard k–εlagrangian model over-predicts particle deposition compared to the present turbulence-corrected Lagrangians.
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