Transient aerodynamic characteristics of a moving train on bridge in tornado environment

ZENG Guangzhi; LI Zhiwei; HUANG Sha; YAN Guanzhang

doi:10.7638/kqdlxxb-2021.0140

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Transient aerodynamic characteristics of a moving train on bridge in tornado environment

更新时间：2026-05-28

- Transient aerodynamic characteristics of a moving train on bridge in tornado environment
- Vol. 39, Issue 5, Pages: 120-131(2021)
- 作者机构：
  
  五邑大学轨道交通学院,江门,529000
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2021.0140
  CLC： U239.5
- Published：2021
- 稿件说明：
移动端阅览
曾广志, 李志伟, 黄莎, 等. 龙卷风环境对桥上运动列车瞬态气动特性影响[J]. 空气动力学学报, 2021, 39(5): 120−131.

ZENG Guangzhi, LI Zhiwei, HUANG Sha, et al. Transient aerodynamic characteristics of a moving train on bridge in tornado environment[J]. 2021, 39(5): 120-131.
曾广志, 李志伟, 黄莎, 等. 龙卷风环境对桥上运动列车瞬态气动特性影响[J]. 空气动力学学报, 2021, 39(5): 120−131. DOI： 10.7638/kqdlxxb-2021.0140

ZENG Guangzhi, LI Zhiwei, HUANG Sha, et al. Transient aerodynamic characteristics of a moving train on bridge in tornado environment[J]. 2021, 39(5): 120-131. DOI： 10.7638/kqdlxxb-2021.0140.

摘要

为探究桥上运动列车穿越龙卷风风场时其周围瞬态流场的流动特性，通过数值方法开展了恶劣环境下的车桥耦合气动特性研究，以保障列车的运行安全。采用三维、不可压N-S方程和工程上应用广泛的

湍流模型，以及滑移网格技术，对桥上运动列车沿不同横向中心间距和不同运行速度穿越龙卷风风场时，其表面压力分布及气动载荷变化情况进行了计算分析。结果表明：1）列车的表面压力系数随列车与龙卷风中心的横向间距增加而表现出减小的趋势，且背风侧的压力系数较之迎风侧更为显著；2）随列车沿纵向方向靠近风场中心，其附近的压力分布呈现由对称分布向非对称分布的变化趋势，而随列车穿越风场并远离龙卷风风场中心时，列车周围压力表现出与之靠近风场中心时反向对称的特点；3）随着列车与风场中心纵向距离的变化，其头车的气动载荷系数均表现出了双峰趋势特征，且尾峰的峰值较之头峰更为显著，并随着列车运行速度的降低，其气动载荷系数峰值随列车与风场中心横向间距的差异愈加明显。

Abstract

To investigate the flow characteristics of the transient flow field around a moving train on the bridge passing through the tornado wind field

vehicle-bridge coupling aerodynamic characteristics in a harsh environment are numerically simulated to ensure operational safety. This study uses numerical simulations based on the three-dimensional incompressible N-S equations and the

turbulence model

to analyze the surface pressure distribution and aerodynamic forces of a train on the bridge under different lateral distances between the moving train and the torna

do center as well as different operational speeds passing through the wind field. The results show that: 1) The surface pressure coefficient of the train shows a decreasing trend as the lateral distance from the center of the tornado increases

and such a trend is more obvious on the leeward side compared to the windward side; 2) As the train approaches the center of the tornado along the longitudinal direction

the pressure distribution around the train presents a change from the symmetrical to asymmetrical distribution. The reverse symmetry characteristics appear after the train passes through the center of the tornado and moves away from the wind field; 3) With the change of the longitudinal distance between the train and the center of the tornado

the aerodynamic load coefficients of the head carriage show bimodal features

and the tail peak is more significant than the head peak. Moreover

as the operational speed of the train decreases

the variation of peak values of aerodynamic load coefficients with the lateral spacing from the center of tornado becomes more obvious.

关键词

Keywords

references

HUANG D P, GAO G, YE D X, et al. Progress in tornado research and present situation of tornado warning operational system[J]. Science Technology Review, 2017, 35(5): 45-53. (in Chinese)

WANG X, HUANG S H, LI Q S. Numerical simulation of dynamic impacting wind loads on high-rise building by tornado[J]. Engineering Mechanics, 2016, 33(9): 195-203. (in Chinese)

YU Y T, HUANG S H, WANG X. Numerical simulation on aero-dynamical effects of high-rise buildings impacted by tornadoes[J]. Engineering Mechanics, 2020, 37(1): 168-174. (in Chinese)

LIANG S L, WU W Y. Research on mechanical mechanism of ship capsizing in tornado[J]. Journal of Ordnance Equipment Engineering, 2019, 40(6): 228-232. (in Chinese)

XU F, XIAO Y Q, LI B, et al. CFD numerical simulation of tornado wind field characteristics[J]. Acta Aerodynamica Sinica, 2013, 31(3): 350-356, 370. (in Chinese)

ZENG G Z, LI Z W, HUANG S, et al. Effects of different head shapes of intercity trains on aerodynamic performance of trains passing each other in open air[J]. Journal of Wuyi University (Natural Science Edition), 2019, 33(2): 51-57. (in Chinese)

HONG Q C, YANG M Z, LIU D X. Influence of the bottom structure on the aerodynamic performance of intercity train[J]. Journal of Railway Science and Engineering, 2018, 15(11): 2947-2955. (in Chinese)

MCDONALD J R, MEHTA K C. A recommendation for an enhanced Fujita scale (EF-scale) [R]. Lubbock: Wind Science and Engineering Center at Texas Tech University, 2004: 1-13.

ALEXANDER C R, WURMAN J. The 30 may 1998 spencer, south Dakota, storm. part I: the structural evolution and environment of the tornadoes[J]. Monthly Weather Review, 2005, 133(1): 72-97. DOI:10.1175/mwr-2855.1

WURMAN J, ALEXANDER C R. The 30 may 1998 spencer, south Dakota, storm. part II: comparison of observed damage and radar-derived winds in the tornadoes[J]. Monthly Weather Review, 2005, 133(1): 97-119. DOI:10.1175/mwr-2856.1

HAAN F L Jr, SARKAR P P Jr, GALLUS W A Jr. Design, construction and performance of a large tornado simulator for wind engineering applications[J]. Engineering Structures, 2008, 30(4): 1146-1159. DOI:10.1016/j.engstruct.2007.07.010

REFAN M, HANGAN H, WURMAN J. Reproducing tornadoes in laboratory using proper scaling[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 135: 136-148. DOI:10.1016/j.jweia.2014.10.008

YUAN F P, YAN G R, HONERKAMP R, et al. Numerical simulation of laboratory tornado simulator that can produce translating tornado-like wind flow[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 190: 200-217. DOI:10.1016/j.jweia.2019.05.001

XU F, MA J, CHEN W L, et al. Analysis of load characteristics and responses of low-rise building under tornado[J]. Procedia Engineering, 2017, 210: 165-172. DOI:10.1016/j.proeng.2017.11.062

BAKER C J, STERLING M. The calculation of train stability in tornado winds[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2018, 176: 158-165. DOI:10.1016/j.jweia.2018.03.022

SUZUKI M, OKURA N. Study of aerodynamic forces acting on a train using a tornado simulator[J]. Mechanical Engineering Letters, 2016, 2: 16-505. DOI:10.1299/mel.16-00505

XU R Z, WU F, ZHONG M, et al. Numerical investigation on the aerodynamics and dynamics of a high-speed train passing through a tornado-like vortex[J]. Journal of Fluids and Structures, 2020, 96: 103042. DOI:10.1016/j.jfluidstructs.2020.103042

XU R Z, WU F, SU W H, et al. A numerical approach for simulating a high-speed train passing through a tornado-like vortex[J]. Journal of Applied Fluid Mechanics, 2020, 13(5): 1635-1648. DOI:10.36884/jafm.13.05.31080

ZHANG H, WANG H, XU Z D, et al. Numerical simulation of tornado loads on a high-speed railway continuous girder bridge[J]. China Journal of Highway and Transport 2021, 34(7): 284-29. (in Chinese)

CAO J X, REN S L, CAO S Y, et al. Key similarity parameters in physical simulation of tornadp-induced wind loads on long-span bridges[J]. Acta Aerodynamica Sinica, 2019, 37(1): 107-114. (in Chinese)

HUANG S, HEMIDA H, YANG M Z. Numerical calculation of the slipstream generated by a CRH2 high-speed train[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2016, 230(1): 103-116. DOI:10.1177/0954409714528891

ANDERSON J D. Fundamentals of aerodynamics[M]. Third Edition. New York: McGraw-Hill, 2001: 54-59.

TANG Z, ZHANG Y, LÜ L Y. Study on tornado model and tornado-induced wind loads[J]. Journal of Building Structures, 2012, 33(3): 104-110. (in Chinese)

BAKER C J, STERLING M. Modelling wind fields and debris flight in tornadoes[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2017, 168: 312-321. DOI:10.1016/j.jweia.2017.06.017

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