TY - JOUR
T1 - The performance of different turbulence models (URANS, SAS and DES) for predicting high-speed train slipstream
AU - Wang, Shibo
AU - Bell, James R.
AU - Burton, David
AU - Herbst, Astrid H
AU - Sheridan, John
AU - Thompson, Mark C.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - The air movement induced by a high-speed train (HST) as it passes, the slipstream, is a safety hazard to commuters and trackside workers, and can cause damage to infrastructure along track lines. Because of its importance, many numerical studies have been undertaken to investigate this phenomenon. However, to the authors' knowledge, a systematic comparison of the accuracy of different turbulence models applied to the prediction of slipstream has not yet been conducted. This study investigates and evaluates the performance of three widely used turbulence models: URANS, SAS and DES, to predict the slipstream of a full-featured generic train model, and the results are compared with wind-tunnel experimental data to determine the fidelity of the models. Specifically, this research aims to determine the suitability of different turbulence modelling approaches, involving significantly different computational resources, for modelling different aspects of slipstream.
AB - The air movement induced by a high-speed train (HST) as it passes, the slipstream, is a safety hazard to commuters and trackside workers, and can cause damage to infrastructure along track lines. Because of its importance, many numerical studies have been undertaken to investigate this phenomenon. However, to the authors' knowledge, a systematic comparison of the accuracy of different turbulence models applied to the prediction of slipstream has not yet been conducted. This study investigates and evaluates the performance of three widely used turbulence models: URANS, SAS and DES, to predict the slipstream of a full-featured generic train model, and the results are compared with wind-tunnel experimental data to determine the fidelity of the models. Specifically, this research aims to determine the suitability of different turbulence modelling approaches, involving significantly different computational resources, for modelling different aspects of slipstream.
KW - Computational Fluid Dynamics (CFD)
KW - Detached Eddy Simulation (DES)
KW - High-speed trains
KW - Scale-Adaptive Simulation (SAS)
KW - Slipstream
KW - Train aerodynamics
KW - Unsteady Reynolds-Averaged Navier–Stokes equations (URANS)
UR - http://www.scopus.com/inward/record.url?scp=85014570939&partnerID=8YFLogxK
U2 - 10.1016/j.jweia.2017.03.001
DO - 10.1016/j.jweia.2017.03.001
M3 - Article
AN - SCOPUS:85014570939
SN - 0167-6105
VL - 165
SP - 46
EP - 57
JO - Journal of Wind Engineering and Industrial Aerodynamics
JF - Journal of Wind Engineering and Industrial Aerodynamics
ER -