期刊
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
卷 170, 期 -, 页码 68-80出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jweia.2017.07.008
关键词
Embedded large eddy simulation (ELES); Scale-adaptive simulation (SAS); Unsteady Reynolds-averaged Navier-Stokes equations (URANS); Reynolds-averaged Navier-Stokes equations (RANS); Hybrid RANS/LES; Freight train aerodynamics
资金
- Pacific National Rail
- Australian Research Council's Linkage Project funding scheme [LP13100953]
This study presents an assessment of the capabilities of various turbulence modelling approaches -ELES, SAS, URANS and RANS-to predict the aerodynamic flow around a double-stacked freight wagon, both in isolation and within a train. The numerical predictions are compared with experimental measurements at the same Reynolds number to determine the accuracy of each model. Specifically, aerodynamic drag, front and rear surface pressures, planar velocity fields and skin friction lines are validated against the wind tunnel results. In particular, predictions from the ELES and SAS models show good agreement with the wind tunnel data, both qualitatively and quantitatively. Indeed, ETPS predicts both the range and distribution of the rear-face surface pressure very closely, indicating that the separated flow is also likely to be well predicted. Both SAS and ELES predict the pressure drag of the multi-wagon configuration to within 2% of the experimental value. However, the steady RANS model predicts the trends in pressure drag in line with the experiments as the front and rear gaps are varied, even though individual drag predictions are considerably worse. Overall, the set of results establishes the benefits and deficiencies of using particular turbulence models to capture different aspects of freight train aerodynamics.
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