Validation of partially averaged Navier-Stokes and prediction for the turbulent flow past a generic high-speed train with and without yaw angle
Journal article, 2024

The paper presents a numerical investigation into the aerodynamic behaviors of a representative high-speed train model. A thorough comparison of external flow is carried out, involving Partially Averaged Navier-Stokes (PANS), Large Eddy Simulation (LES), and wind tunnel experiments. The train model is scaled down to 1/20 of its actual size. The Reynolds number for both simulations and experiments is fixed at Re = 2.45 × 105, calculated using the inlet velocity Uinf = 20 m/s and the height of the train model H=0.18 m. Three different grid resolutions are utilized in the LES and PANS simulations. A comparison is made between time-averaged and instantaneous flow patterns, velocity, and Reynolds stress profiles under conditions both with and without a yaw angle. The findings indicate that PANS effectively captures the primary flow characteristics of the train's external flow, with medium PANS closely aligning with fine LES and experimental measurements. Moreover, PANS surpasses LES at lower grid resolutions, showcasing the potential of PANS in effectively resolving the multi-scale instantaneous flow around the train model with relatively modest computational resources.

Wind tunnel experiments

Generic high-speed train

Large eddy simulation (LES)

Separated flow

Partially averaged Navier-Stokes (PANS)

Author

Jiabin Wang

Central South University

Haoyuan Liu

Central South University

Tianyun Dong

Central South University

Kan He

Central South University

Jie Zhang

Central South University

Guangjun Gao

Central South University

Branislav Basara

AVL

Sinisa Krajnovic

Chalmers, Mechanics and Maritime Sciences (M2)

International Journal of Heat and Fluid Flow

0142-727X (ISSN)

Vol. 110 109565

Subject Categories

Energy Engineering

Vehicle Engineering

Fluid Mechanics and Acoustics

DOI

10.1016/j.ijheatfluidflow.2024.109565

More information

Latest update

12/17/2024