
1. 中国科学院力学研究所 流固耦合系统力学重点实验室,北京,100190
2. 中国科学院大学 工程科学学院,北京,100084
Published:2021
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王业腾, 孙振旭, 鞠胜军, 等. 沟槽微结构尺寸对高速列车横风特性影响研究[J]. 空气动力学学报, 2021, 39(5): 132−141.
WANG Yeteng, SUN Zhenxu, JU Shengjun, et al. Influence of groove microstructures on the aerodynamic performance of high speed trains under crosswind[J]. 2021, 39(5): 132-141.
王业腾, 孙振旭, 鞠胜军, 等. 沟槽微结构尺寸对高速列车横风特性影响研究[J]. 空气动力学学报, 2021, 39(5): 132−141. DOI: 10.7638/kqdlxxb-2021.0149
WANG Yeteng, SUN Zhenxu, JU Shengjun, et al. Influence of groove microstructures on the aerodynamic performance of high speed trains under crosswind[J]. 2021, 39(5): 132-141. DOI: 10.7638/kqdlxxb-2021.0149.
随着列车运行速度的不断提升,气动效应对列车运行安全性产生的影响越来越突出。目前针对高速列车横风效应的研究通常假定列车表面光滑,实际上列车表面是非光滑的,边界层内的流动特性有所不同。利用微结构进行非光滑表面设计的新型技术手段可能改善高速列车在横风条件下的气动性能。以在车顶加设矩形条带组的方式,对1∶25比例的列车模型进行局部非光滑设计;采用改进的延迟分离涡模拟(IDDES)方法对横风作用下光滑表面和粗糙表面的列车模型进行气动性能模拟。结果表明,与光滑模型相比,粗糙模型下的侧向力系数和倾覆力矩系数分别降低了3.71 %和10.56 %。选取条带的宽度、高度和长度为设计变量,基于正交试验设计方法设计不同的数值模拟方案,利用方差分析和极差的方法探索矩形条带几何参数与列车侧向力和倾覆力矩间的关系,给出条带外形设计的优选方案。本研究可为横风作用下如何提升高速列车的气动性能提供理论依据。
With the continuous improvement of train speeds
the influence of aerodynamics on the train safety is increasingly prominent. Especially
the crosswind will significantly deteriorate the aerodynamic performance of high-speed trains and bring greater security risks consequently. Present research regarding the crosswind effect on high-speed trains usually assumes that the train surface is smooth
which is
however
not true. Non-smooth surfaces with microstructures will change the flow characteristics in the boundary layer and may improve the aerodynamic performance of high-speed trains. The present study uses an improved delayed detached eddy simulation (IDDES) method was used to obtain the aerodynamic performance of 1∶25 scale train models with smooth and rough surfaces under crosswind. The non-smooth surface is achieved by adding a group of rectangular strips on the top of the train model. The results show that the side force coefficient and the roll moment coefficient can be respectively reduced by 3.71% and 10.56% by using a non-smooth surface. The width
height
and length of the strip are selected as design variables
and different numerical simulation schemes are designed based on the orthogonal experimental design method. The relationship between the geometric parameters of rectangular strip and the side force coefficient and roll moment coefficient of the train is explored by the variance and range analyses
and the optimized strip shape is given. This study can hopefully provide a theoretical basis for the improvement of aerodynamic performance of high-speed trains under crosswind.
LUO X W, HUANG R F, JI B. Transient cavitating vortical flows around a hydrofoil using k-ω partially averaged Navier–Stokes model[J]. Modern Physics Letters B, 2016, 30(1): 1550262. DOI:10.1142/s0217984915502620
LUO X W, YE W X, HUANG R F, et al. Numerical investigations of the energy performance and pressure fluctuations for a waterjet pump in a non-uniform inflow[J]. Renewable Energy, 2020, 153: 1042-1052. DOI:10.1016/j.renene.2020.02.081
ZHAO X L, SUN Z X. A new method for numerical simulation of two trains passing by each other at the same speed[J]. Journal of Hydrodynamics, Ser B, 2010, 22(5): 697-702. DOI:10.1016/S1001-6058(09)60105-0
DIEDRICHS B. Aerodynamic calculations of crosswind stability of a high-speed train using control volumes of arbitrary polyhedral shape[J]. BBAA VI International Colloquium on: Bluff Bodies Aerodynamics Applications, 2008: 20-24.
MORDEN J A, HEMIDA H, BAKER C J. Comparison of RANS and detached eddy simulation results to wind-tunnel data for the surface pressures upon a class 43 high-speed train[J]. Journal of Fluids Engineering, 2015, 137(4): 041108. DOI:10.1115/1.4029261
LIU R, YAO S, XU J E. Study on critical overturning wind speed of high-speed train under cross wind[J]. Journal of Railway Science and Engineering, 2019, 16(11): 2643-2650.(in Chinese) DOI:10.19713/j.cnki.43-1423/u.2019.11.001
GONG Y J, HUANG Z D, CHANG N. Aerodynamic load analysis of intercity EMU car bodies operating on the viaduct under cross-wind environment[J]. Journal of Railway Science and Engineering, 2020, 17(11): 2748-2755.(in Chinese) DOI: 10.19713/j.cnki.43-1423/u.t20200294
WANG J G, CHEN S H, WANG Q J. Effect of bionic rhombic surface texture on frictional noise of high-speed train[J]. Journal of Traffic and Transportation Engineering, 2014, 14(1): 43-48.(in Chinese) DOI:10.3969/j.issn.1671-1637.2014.01.008
WANG J G, CHEN S H. Bionic design of Koch snowflake surface texture and its effects on air frictional noise of high speed train[J]. Journal of Mechanical Engineering, 2014, 50(7): 78-83.(in Chinese)
MIAO X J, GAO G J. Influence of window on train side aerodynamic performance by numerical simulation[J]. Journal of Central South University, 2012, 43(9): 3698-3703.(in Chinese)
SUN P P. Research on aerodynamic drag reduction of high-speed train with non-smooth surface[D]. Hangzhou: Zhejiang University, 2012. (in Chinese)
ZHU H Y, ZHANG Y, ZHAO H R, et al. Drag reduction technology of high-speed train based on boundary layer control[J]. Journal of Traffic and Transportation Engineering, 2017, 17(2): 64-72.(in Chinese)
TANG K, MA S W, LIANG H Q, et al. Simulation research of the drag reduction of high-speed train microstructured surfaces[J]. Machinery Design Manufacture, 2020(9): 213-216.(in Chinese) DOI: 10.19356/j.cnki.1001-3997.2020.09.050
BROWAND F, MCCALLEN R, ROSS J. The aerodynamics of heavy vehicles II: trucks, buses, and trains[M ] . Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. DOI:10.1007/978-3-540-85070-0
FAN Z B, HU Y, WU F, et al. Parametric design of aero-engine altitude simulation test bed[J]. Gas Turbine Experiment and Research, 2018, 31(3): 53-57.(in Chinese)
CHENG X R, ZHANG X L. Hydraulic optimization of spatial guide vane on submersible well pump based on the orthogonal design[J]. Journal of Lanzhou University of Technology, 2020, 46(5): 61-67.(in Chinese)
SPALART P R, DECK S, SHUR M L, et al. A new version of detached-eddy simulation, resistant to ambiguous grid densities[J]. Theoretical and Computational Fluid Dynamics, 2006, 20(3): 181-195. DOI:10.1007/s00162-006-0015-0
SHUR M L, SPALART P R, STRELETS M K, et al. A hybrid RANS-LES approach with delayed-DES and wall-modeled LES capabilities[J]. International Journal of Heat and Fluid Flow, 2008, 29(6): 1638-1649. DOI:10.1016/j.ijheatfluidflow.2008.07.001
MUNOZ-PANIAGUA J, GARCÍA J, LEHUGEUR B. Evaluation of RANS, SAS and IDDES models for the simulation of the flow around a high-speed train subjected to crosswind[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2017, 171: 50-66. DOI:10.1016/j.jweia.2017.09.006
LI T, HEMIDA H, ZHANG J Y, et al. Comparisons of shear stress transport and detached eddy simulations of the flow around trains[J]. Journal of Fluids Engineering, 2018, 140(11): 111108. DOI:10.1115/1.4040672
HASHMI S A, HEMIDA H, SOPER D. Wind tunnel testing on a train model subjected to crosswinds with different windbreak walls[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 195: 104013. DOI:10.1016/j.jweia.2019.104013
DORIGATTI F, STERLING M, BAKER C J, et al. Crosswind effects on the stability of a model passenger train—A comparison of static and moving experiments[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2015, 138: 36-51. DOI:10.1016/j.jweia.2014.11.009
JU S J, YAN C, WANG X Y, et al. Effect of energy addition parameters upon scramjet nozzle performances based on the variance analysis method[J]. Aerospace Science and Technology, 2017, 70: 511-519. DOI:10.1016/j.ast.2017.08.033
HUANG W, LUO S B, WANG Z G. Parametric sensitivity analysis of scramjet nozzle configuration[J]. Journal of Propulsion Technology, 2009, 30(6): 691-695.(in Chinese)
JU S J, YAN C, YE Z F. Multi-parametric sensitivity analysis of air-breathing hypersonic vehicle[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 927-934.(in Chinese) DOI:10.13700/j.bh.1001-5965.2016.0354
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