Crosswind effects on the stability of a model passenger train—A comparison of static and moving experiments

Dorigatti, Francesco; Sterling, Mark; Baker, Chris; Quinn, Andrew

doi:10.1016/j.jweia.2014.11.009

Cited by 139 publications

(79 citation statements)

References 22 publications

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“…However, the real wind blowing against a running vehicle has a vector component of the relative uniform flow caused by vehicle running and the natural wind of the atmospheric boundary layer. Therefore, the real wind blowing against a running vehicle has a wind direction angle different from that of the wind tunnel experiment air flow (Baker, 1986;Suzuki, 2011;Cheli et al, 2011;Dorigatti et al, 2015) The analysis of the phenomena caused by such winds with twisted direction angles acting on a vehicle is a future problem.…”

Section: Discussionmentioning

confidence: 99%

Study of aerodynamic coefficients used to estimate critical wind speed for vehicle overturning

Kikuchi

Suzuki

2015

Journal of Wind Engineering and Industrial Aerodynamics

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Section: Discussionmentioning

confidence: 99%

Study of aerodynamic coefficients used to estimate critical wind speed for vehicle overturning

Kikuchi

Suzuki

2015

Journal of Wind Engineering and Industrial Aerodynamics

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“…In the aerodynamics standards of the railway industry and the European railway application aerodynamics standard, the numerical simulation based on Reynolds-averaged Navier-Stokes (RANS) equation is one of the approved methods to evaluate the aerodynamic performance of trains in crosswind. Up to now, many researchers have conducted numerical studies on the operation of high-speed trains in crosswind conditions [6][7][8][9][10]. Li et al [11] investigated a numerical simulation method for the interaction between airflow and high-speed trains, indicating that it is necessary to consider the interaction between airflow and a high-speed train subjected to crosswind.…”

Section: Introductionmentioning

confidence: 99%

Effect of RANS Turbulence Model on Aerodynamic Behavior of Trains in Crosswind

Qin

Zhang

2019

Chin. J. Mech. Eng.

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The numerical simulation based on Reynolds time-averaged equation is one of the approved methods to evaluate the aerodynamic performance of trains in crosswind. However, there are several turbulence models, trains may present different aerodynamic performances in crosswind using different turbulence models. In order to select the most suitable turbulence model, the inter-city express 2 (ICE2) model is chosen as a research object, 6 different turbulence models are used to simulate the flow characteristics, surface pressure and aerodynamic forces of the train in crosswind, respectively. 6 turbulence models are the standard k-ε, Renormalization Group (RNG) k-ε, Realizable k-ε, Shear Stress Transport (SST) k-ω, standard k-ω and Spalart-Allmaras (SPA), respectively. The numerical results and the wind tunnel experimental data are compared. The results show that the most accurate model for predicting the surface pressure of the train is SST k-ω, followed by Realizable k-ε. Compared with the experimental result, the error of the side force coefficient obtained by SST k-ω and Realizable k-ε turbulence model is less than 1 %. The most accurate prediction for the lift force coefficient is achieved by SST k-ω, followed by RNG k-ε. By comparing 6 different turbulence models, the SST k-ω model is most suitable for the numerical simulation of the aerodynamic behavior of trains in crosswind. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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“…Most of the physical modelling investigations have been carried out using the traditional wind tunnel measurements (Copley, 1987;Chiu et al, 1992;Suzuki et al, 2003;Cheli et al, 2010) with some exceptions of using a moving train rig (Baker et al, 2001;Dorigatti et al, 2015). Conventional wind tunnel experiments were reported for measuring the aerodynamic forces of stationary train models (Suzuki et al, 2003;Bocciolone et al, 2008;Cheli et al, 2010, Morden et al, 2015.…”

Section: Introductionmentioning

confidence: 99%

On the Reynolds-Averaged Navier-Stokes Modelling of the Flow around a Simplified Train in Crosswinds

Li¹,

Zhang²,

Rashidi³

et al. 2019

JAFM

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Currently, there are different computational fluid dynamic (CFD) techniques used to obtain the flow around trains. One of these techniques is the Reynolds-averaged Navier-Stokes (RANS), which is commonly and widely used by industry to obtain the mean flow field around trains in different operating conditions. In order to assess the performance of RANS turbulence modelling for train aerodynamics, five different common RANS modelling have been used in this paper to obtain the flow and the surface pressure around a simplified train model subjected to crosswind; the standard k- model, the realisable k- model, the Re-Normalisation Group (RNG) k- model, the standard k- model and Shear Stress Transport (SST) k- model. The train model was stationary and subjected to crosswind with a 90 o yaw angle. The effects of mesh size and spatial discretization scheme on the aerodynamic characteristics of the train were also investigated. The results obtained from the different RANS models were compared to those from published experimental data. In general, all the RANS models provided the pressure distribution trend. However, all k- models overestimate the surface pressure on the train body except the bottom face. The standard k- model underestimates the surface pressure on the train body except the streamwise face. It was shown that the simulation using SST k- model together with a second order discretization scheme provides the closest results to the experimental surface pressure. It could be concluded from the present study that the SST k-model with a second order discretization scheme and y+ around 1.0 is the most appropriate RANS model for simulating the flow around trains subjected to crosswinds.

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Crosswind effects on the stability of a model passenger train—A comparison of static and moving experiments

Cited by 139 publications

References 22 publications

Study of aerodynamic coefficients used to estimate critical wind speed for vehicle overturning

Study of aerodynamic coefficients used to estimate critical wind speed for vehicle overturning

Effect of RANS Turbulence Model on Aerodynamic Behavior of Trains in Crosswind

On the Reynolds-Averaged Navier-Stokes Modelling of the Flow around a Simplified Train in Crosswinds

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