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Received: 2019-08-22

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Peng Zhou


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Journal of Zhejiang University SCIENCE A 2020 Vol.21 No.5 P.366-381


Numerical study on the flow field characteristics of the new high-speed maglev train in open air

Author(s):  Peng Zhou, Tian Li, Chun-fa Zhao, Ji-ye Zhang

Affiliation(s):  State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

Corresponding email(s):   jyzhang@home.swjtu.edu.cn

Key Words:  Maglev train, High-speed, Improved delayed detached eddy simulation (IDDES), Aerodynamic load, Vortex, Time-averaged slipstream

Peng Zhou, Tian Li, Chun-fa Zhao, Ji-ye Zhang. Numerical study on the flow field characteristics of the new high-speed maglev train in open air[J]. Journal of Zhejiang University Science A, 2020, 21(5): 366-381.

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%T Numerical study on the flow field characteristics of the new high-speed maglev train in open air
%A Peng Zhou
%A Tian Li
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T1 - Numerical study on the flow field characteristics of the new high-speed maglev train in open air
A1 - Peng Zhou
A1 - Tian Li
A1 - Chun-fa Zhao
A1 - Ji-ye Zhang
J0 - Journal of Zhejiang University Science A
VL - 21
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1900412

With the increasing demand of higher travelling speed, a new streamlined high-speed maglev train has been designed to reach a speed of 600 km/h. To better capture the flow field structures around the maglev train, an improved delayed detached eddy simulation (IDDES) is adopted to model the turbulence. Results show that the new maglev train has good aerodynamic load performance such as small drag coefficient contributing to energy conservation. The main frequencies of aerodynamic forces for each car have a scattered distribution. There are two pairs of counter-rotating large vortices in the non-streamlined part of the train that make the boundary layer thicker. Many high-intensity vortices are distributed in the narrow space between skirt plates or train floor and track. In the gap between the train floor and track (except near the tail car nose), the main frequency of vortex shedding remains constant and its strength increases exponentially in the streamwise direction. In the wake, the counter-rotating vortices gradually expand and reproduce some small vortices that move downward. The vortex has quite random and complex frequency-domain distribution characteristics in the wake. The maximum time-averaged velocity of the slipstream occurs near the nose of the head car, based on which, the track-side safety domain is divided.


创新点:1. 将可压缩流动理论及延时分离涡(IDDES)方法应用于高速磁浮车气动问题; 2. 通过数值模拟,首次揭示高速磁浮车诱发的涡流特性.
方法:1. 基于430 km/h的磁浮车气动试验数据,验证本文数值方法的可靠性,并建立三编组新型高速磁浮车的计算模型; 2. 采用IDDES方法对关键问题即湍流求解进行建模,以捕捉较为精细的流场结构; 3. 采用时均化和快速傅里叶变换等方法对流场数据进行后处理,以研究流场的时均和频率等特性.
结论:1. 新型高速磁浮车具有良好的气动性能,比如较小的阻力系数、合理的升力系数和分散性较好的气动力主频分布. 2. 在非流线型车身附近,两对反向旋转的大涡使得边界层明显增厚. 3. 高强度的涡流主要分布在裙板与轨道以及轨道与车底之间的狭小空间; 在轨道与车底之间(除了靠近尾车鼻尖附近的区域),涡脱频域几乎不变,且涡强沿流向指数式增大. 4. 伴随着涡流的分裂及衍生,尾流具有复杂的、随机的频域分布特性. 5. 高速磁浮车产生的时均滑流具有5个典型的变化过程.

关键词:磁浮车; 高速; IDDES; 气动荷载; 涡流; 时均滑流

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1]Anderson JD, 2017. Fundamentals of Aerodynamics, 6th Edition. McGraw-Hill Education, New York, USA, p.530-550.

[2]ANSYS Inc., 2015. ANSYS Fluent Theory Guide. ANSYS Inc., Canonsburg, USA.

[3]Bi HQ, Lei B, Zhang WH, 2004. Research on numerical calculation for aerodynamic characteristics of the TR maglev train. Journal of the China Railway Society, 26(4):51-54 (in Chinese).

[4]Bi HQ, Lei B, Zhang WH, 2005. Numerical calculation for turbulent flow around TR maglev train. Journal of Southwest Jiaotong University, 40(1):5-8 (in Chinese).

[5]Chen JX, 2018. Study on Crossing Air Pressure Pulse and Aerodynamic Performance of High-speed Maglev Trains Meeting in the Open Air. MS Thesis, Lanzhou Jiaotong University, Lanzhou, China (in Chinese).

[6]Deng ZG, Zhang Y, Wang B, et al., 2019. Present situation and prospect of evacuated tube transportation system. Journal of Southwest Jiaotong University, 54(5):1063-1072 (in Chinese).

[7]Duhamel P, Vetterli M, 1990. Fast Fourier transforms: a tutorial review and a state of the art. Signal Processing, 19(4):259-299.

[8]Hemida H, Baker C, Gao GJ, 2014. The calculation of train slipstreams using large-eddy simulation. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 228(1):25-36.

[9]Huang S, Li ZW, Yang MZ, 2019. Aerodynamics of high-speed maglev trains passing each other in open air. Journal of Wind Engineering and Industrial Aerodynamics, 188:151-160.

[10]Hunt JCR, Wray AA, Moin P, 1988. Eddies, stream, and convergence zones in turbulent flows. Proceeding of the Summer Program in Center for Turbulence Research, p.193-208.

[11]Jia YX, Mei YG, 2018. Numerical simulation of pressure waves induced by high-speed maglev trains passing through tunnels. International Journal of Heat and Technology, 36(2):687-696.

[12]Lee HW, Kim KC, Lee J, 2006. Review of maglev train technologies. IEEE Transactions on Magnetics, 42(7):1917-1925.

[13]Lee J, Jo J, Han Y, et al., 2014. The development and application of guideway monitoring vehicle for super speed maglev. Proceedings of the 14th International Conference on Control, Automation and Systems, p.427-429.

[14]Li MS, Lei B, Lin GB, et al., 2006. Field measurement of passing pressure and train induced airflow speed on high speed maglev vehicles. Acta Aerodynamica Sinica, 24(2):209-212 (in Chinese).

[15]Li RX, Liu YQ, Zhai WM, 2004. Numerical analysis of aerodynamic force in longitudinal and vertical direction for high-speed maglev train. China Railway Science, 25(1):8-12 (in Chinese).

[16]Li XB, Chen G, Wang Z, et al., 2019. Dynamic analysis of the flow fields around single- and double-unit trains. Journal of Wind Engineering and Industrial Aerodynamics, 188: 136-150.

[17]Liu TH, Tian HQ, Wang CY, 2006. Aerodynamic performance comparison of several kind of nose shapes of maglev train. Journal of National University of Defense Technology, 28(3):94-98 (in Chinese).

[18]Menter FR, 1994. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA Journal, 32(8):1598-1605.

[19]Miao BR, Zhang WH, Chi MR, et al., 2019. Analysis and prospects of key technical features of next generation high speed trains. Journal of the China Railway Society, 41(3):58-70 (in Chinese).

[20]Ono M, Koga S, Ohtsuki H, 2002. Japan’s superconducting maglev train. IEEE Instrumentation & Measurement Magazine, 5(1):9-15.

[21]Östh J, Krajnović S, 2012. The flow around a simplified tractor-trailer model studied by large eddy simulation. Journal of Wind Engineering and Industrial Aerodynamics, 102:36-47.

[22]Shur ML, Spalart PR, Strelets MK, et al., 2008. A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities. International Journal of Heat and Fluid Flow, 29(6):1638-1649.

[23]Spalart PR, Deck S, Shur ML, et al., 2006. A new version of detached-eddy simulation, resistant to ambiguous grid densities. Theoretical and Computational Fluid Dynamics, 20(3):181-195.

[24]Tian HQ, 2007. Train Aerodynamics. China Railway Publishing House, Beijing, China (in Chinese).

[25]Wang JB, Minelli G, Dong TY, et al., 2019. The effect of bogie fairings on the slipstream and wake flow of a high-speed train. An IDDES study. Journal of Wind Engineering and Industrial Aerodynamics, 191:183-202.

[26]Wang SB, Bell JR, Burton D, et al., 2017. The performance of different turbulence models (URANS, SAS and DES) for predicting high-speed train slipstream. Journal of Wind Engineering and Industrial Aerodynamics, 165:46-57.

[27]Wang SB, Burton D, Herbst A, et al., 2018. The effect of bogies on high-speed train slipstream and wake. Journal of Fluids and Structures, 83:471-489.

[28]Xia C, Wang HF, Shan XZ, et al., 2017. Effects of ground configurations on the slipstream and near wake of a high-speed train. Journal of Wind Engineering and Industrial Aerodynamics, 168:177-189.

[29]Yan LG, 2007. The maglev development and commercial application in China. International Conference on Electrical Machines and Systems, p.541-548.

[30]Zhang L, Zhang JY, Li T, et al., 2017. Multi-objective aerodynamic optimization design of high-speed train head shape. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 18(11):841-854.

[31]Zhou P, Zhang JY, Li T, 2020. Effects of blocking ratio and Mach number on aerodynamic characteristics of the evacuated tube train. International Journal of Rail Transportation, 8(1):27-44.

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