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Effect of RANS Turbulence Model on Aerodynamic Behavior of Trains in Crosswind 被引量:17

Effect of RANS Turbulence Model on Aerodynamic Behavior of Trains in Crosswind
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摘要 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-ωand 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-ωand Realizable k-εturbulence 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-ωmodel is most suitable for the numerical simulation of the aerodynamic behavior of trains in crosswind. 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.
出处 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2019年第5期145-156,共12页 中国机械工程学报(英文版)
基金 Supported by National Natural Science Foundation of China(Grant No.51605397) Sichuan Provincial Science and Technology Program of China(Grant No.2019YJ0227) Self-determined Project of State Key Laboratory of Traction Power(Grant No.2019TPL_T02)
关键词 TURBULENCE model CROSSWIND High SPEED TRAIN Numerical simulation Aerodynamic Turbulence model Crosswind High speed train Numerical simulation Aerodynamic
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  • 1Baker, C.J., 1991. Ground vehicles in high cross winds part III: The interaction of aerodynamic forces and the vehicle system. Journal of Fluids and Structures, 5(2):221-241. [doi: 10.1016/0889-9746(91 )90478-8].
  • 2Baker, C.J., 2010. The simulation of unsteady aerodynamic crosswind forces on trains. Journal of Wind Engineering and Industrial Aerodynamics, 98(2):88-99. [doi:10. 1016/j.jweia.2009.09.006].
  • 3Baker, C.J., Jones, J., Lopez-Calleja, F., Munday, J., 2004. Measurements of the cross wind forces on trains. Journal of Wind Engineering and Industrial Aerodynamics, 92(7-8):547-563. [doi: 10.1016/j.jweia.2004.03.002].
  • 4Baker, C.J., Hemida, H., lwnicki, S., Xie, G., Ongaro, D., 2011. Integration of crosswind forces into train dynamic modelling. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 225(2):154-164. [doi:l 0.1177/2041301710392476].
  • 5Bocciolone, M., Cheli, E, Corradi, R., Muggiasca, S., Tomasini, G., 2008. Crosswind action on rail vehicles: Wind tunnel experimental analyses. Journal of Wind Engineering and Industrial Aerodynamics, 96(5):584-610. [doi:10.1016/j. jweia.2008.02.030].
  • 6Cheli, F., Ripamonti, F., Roechi, D., Tomasini, G., 2010. Aerodynamic behaviour investigation of the new EMUV250 train to cross wind. Journal of Wind Engi-neering and Industrial Aerodynamics, 98(4-5): 189-201. [doi:10.1016/j.jweia.2009.10.015].
  • 7Chiu, T.W., 1995. Prediction of the aerodynamic loads on a railway train in a cross-wind at large yaw angles using an integrated two- and three-dimensional source/vortex panel method. Journal of Wind Engineering and Indus- trial Aerodynamics, 57(1):19-39. [doi:10.1016/0167- 6105(94)00099-Y].
  • 8Diedrichs, B., 2003. On computational fluid dynamics mod- eling of crosswind effects for high-speed rolling stock. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 217(3): 203-226. [doi: 10.1243/095440903769012902].
  • 9Diedrichs, B., Sima, M., Orellano, A. Tengstrand, H., 2007. Crosswind stability of a high-speed train on a high em- bankment. Proceedings of the Institution of Mechanical Engineers, Part F." Journal of Rail and Rapid Transit, 221(2):205-225. [doi: 10.1243/0954409JRRT126].
  • 10Ding, Y., Sterling, M., Baker, C.J., 2008. An alternative ap- proach to modeling train stability in high cross winds. Proceedings of the Institution of Mechanical Engineers, Part F." Journal of Rail and Rapid Transit, 222(1 ):85-97. [doi:10.1243/09544097JRRT138].

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