8th European Postgraduate Fluid Dynamics Conference

6th – 9th July 2016
Warsaw, Poland

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On the Suitability of Scale-Adaptive Simulation to Predict High-Speed Train Slipstream

Shibo Wang1, James R. Bell2, David Burton1, Astrid Herbst2, John Sheridan3, Mark C. Thompson3
Slipstream is defined as the induced airflow caused by the high-speed train (HST) movement, which can cause safety hazards and damage concerns. Therefore, much effort has been invested to numerically predict the slipstream. As the flow over a HST is highly turbulent, a Scale-Resolving Solver (SRS) is essential to accurately capture the dynamic flow features: for example, Large-Eddy Simulation (LES) and Detached-Eddy Simulation (DES). In comparison to the Reynolds-Averaged Navier-Stokes (RANS) simulations, both LES and DES are computationally demanding, especially LES, which is rarely used for real-life industrial flows. This study aims to evaluate the capability of a relative new turbulence model, Scale-Adaptive Simulation (SAS), to predict HST slipstream, which is less computationally demanding than conventional SRSs. The present research systematically studies the performance of SAS under different time-steps, and the results are compared with DES predictions and experimental
Keywords: Aerodynamics, Computational methods, Turbulence