Numerical study on wind-loading characteristics of a high-speed train running over the bridge under tornado-like vortices

With global warming intensifying, weather patterns become more volatile and extremes more common. Tornadoes are the most destructive natural disasters causing significant damage to infrastructure. Meanwhile, high-speed railways now face greater risks from tornado events as the national railway network and mass transit trains expand. Thus, studying the tornado flow characteristics and associated effects on high-speed trains is necessary. A study is presented regarding the wind-loading characteristics of a high-speed train running over a railway bridge induced by a tornado belonging to the future railway network. The wind-loading characteristics analyses are performed using the improved delayed detached eddy simulation method. After verifying the numerical approach and mesh strategy, computational studies are conducted to produce a tornado-like vortex and investigate the tornado-induced wind-loading characteristics of a high-speed train running on the bridge by combining a tornado simulation with a moving mesh technique. For the wind-loading parameters studied herein, the selected train's velocity range is between 50 and 350 km/h, the typical operation speed of either regular or high-speed trains. The numerical results show that the time histories of aerodynamic forces on the train revealed a pattern in tornadic flow variability, the time evolutions of the wind loads on the train were affected by train speeds, and the fluctuation was the greatest when the train ran at 50 km/h. Moreover, the train is subjected to larger aerodynamic forces and moments when it operates along with the rotating vortex flow, especially in the core region, and the train is more dangerous when it runs at a lower speed. The results in this study provide references for assessing operation safety, while a train running on the bridge encounters tornadoes.

[1]  Hao Wang,et al.  Numerical study of wind loads on the streamlined bridge deck in the translating tornado-like vortex , 2023, Physics of Fluids.

[2]  Qingshan Yang,et al.  The scale effect of the wind tunnel test on the drag force of a stationary train under crosswinds , 2023, Journal of Wind Engineering and Industrial Aerodynamics.

[3]  Weixu Wang,et al.  Aerodynamic characteristics study of vehicle-bridge system based on computational fluid dynamics , 2023, Journal of Wind Engineering and Industrial Aerodynamics.

[4]  H. Hangan,et al.  An investigation of the effect of surface roughness on the mean flow properties of “tornado-like” vortices using large eddy simulations , 2023, Journal of Wind Engineering and Industrial Aerodynamics.

[5]  Xuhui He,et al.  Effect of tornado near-ground winds on aerodynamic characteristics of the high-speed railway viaduct , 2023, Engineering Structures.

[6]  B. Khoo,et al.  Investigation of the fluctuating velocity in a single-cell tornado-like vortex based on coherent structure extraction , 2022, Physics of Fluids.

[7]  Xuhui He,et al.  Moving model experimental analysis of the slipstream produced by a simplistic square-back high-speed train , 2022, Advances in Structural Engineering.

[8]  Teng Wu,et al.  An optimized numerical tornado simulator and its application to transient wind-induced response of a long-span bridge , 2022, Journal of Wind Engineering and Industrial Aerodynamics.

[9]  Siyu Zhu,et al.  Wind tunnel test on the aerodynamic admittance of a rail vehicle in crosswinds , 2022, Journal of Wind Engineering and Industrial Aerodynamics.

[10]  W. Zhai,et al.  Impact of the train-track-bridge system characteristics in the runnability of high-speed trains against crosswinds - Part I: Running safety , 2022, Journal of Wind Engineering and Industrial Aerodynamics.

[11]  W. Zhai,et al.  Impact of the train-track-bridge system characteristics in the runnability of high-speed trains against crosswinds - Part II: Riding comfort , 2022, Journal of Wind Engineering and Industrial Aerodynamics.

[12]  Zhihui Zhu,et al.  Global reliability analysis of running safety of a train traversing a bridge under crosswinds , 2022, Journal of Wind Engineering and Industrial Aerodynamics.

[13]  Kai Liu,et al.  Global transportation infrastructure exposure to the change of precipitation in a warmer world , 2022, Nature communications.

[14]  S. Krajnović,et al.  Numerical investigation of a high-speed train underbody flows: Studying flow structures through large-eddy simulation and assessment of steady and unsteady Reynolds-averaged Navier–Stokes and improved delayed detached eddy simulation performance , 2022, Physics of Fluids.

[15]  Xuhui He,et al.  Advances in wind tunnel experimental investigations of train–bridge systems , 2021, Tunnelling and Underground Space Technology.

[16]  Xuhui He,et al.  Crosswind effects on a train-bridge system: wind tunnel tests with a moving vehicle , 2021, Structure and Infrastructure Engineering.

[17]  A. Flaga,et al.  Critical velocity measurements of freight railway vehicles roll-over in wind tunnel tests as the method to assess their safety at strong cross winds , 2021 .

[18]  S. Cao,et al.  Numerical study of compact debris in tornadoes at different stages using large eddy simulations , 2021 .

[19]  Ming Wang,et al.  A simplified analysis framework for assessing overturning risk of high-speed trains over bridges under crosswind , 2020, Vehicle System Dynamics.

[20]  M. Thompson,et al.  On the flow past and forces on double-stacked wagons within a freight train under cross-wind , 2020 .

[21]  Ahsan Kareem,et al.  Emerging frontiers in wind engineering: Computing, stochastics, machine learning and beyond , 2020 .

[22]  Xuhui He,et al.  An efficient analysis framework for high-speed train-bridge coupled vibration under non-stationary winds , 2020 .

[23]  R. Xu,et al.  Numerical investigation on the aerodynamics and dynamics of a high-speed train passing through a tornado-like vortex , 2020, Journal of Fluids and Structures.

[24]  G. Yan,et al.  A review of the characteristics of tornadic wind fields through observations and simulations , 2020, Journal of Wind Engineering and Industrial Aerodynamics.

[25]  A. Kareem,et al.  Crosswind aerodynamic characteristics of a stationary interior railway carriage through a long-span truss-girder bridge , 2020 .

[26]  R. Feng,et al.  Investigation of the flow structure of single- and dual-celled tornadoes and their wind effects on a dome structure , 2020 .

[27]  Xuhui He,et al.  Numerical investigation on the crosswind effects on a train running on a bridge , 2020 .

[28]  Cheng Zhang,et al.  The effect of moving train on the aerodynamic performances of train-bridge system with a crosswind , 2020 .

[29]  M. Sterling,et al.  Simulating tornado-like flows: the effect of the simulator’s geometry , 2019, Meccanica.

[30]  Ming Zhao,et al.  Numerical simulation of laboratory tornado simulator that can produce translating tornado-like wind flow , 2019, Journal of Wind Engineering and Industrial Aerodynamics.

[31]  C. Baker,et al.  Are Tornado Vortex Generators fit for purpose? , 2019, Journal of Wind Engineering and Industrial Aerodynamics.

[32]  Y. Ge,et al.  Physical simulations on wind loading characteristics of streamlined bridge decks under tornado-like vortices , 2019, Journal of Wind Engineering and Industrial Aerodynamics.

[33]  Liang Ling,et al.  Train–track–bridge dynamic interaction: a state-of-the-art review , 2019, Vehicle System Dynamics.

[34]  H. Hangan,et al.  Near surface experimental exploration of tornado vortices , 2018 .

[35]  Yong Chul Kim,et al.  Analytical and empirical models of tornado vortices: A comparative study , 2017 .

[36]  John W. van de Lindt,et al.  Tornado community-level spatial damage prediction including pressure deficit modeling , 2017 .

[37]  Huicong Jia,et al.  Tornado disaster impacts and management: learning from the 2016 tornado catastrophe in Jiangsu Province, China , 2017, Natural Hazards.

[38]  Hui Guo,et al.  Recent developments of high-speed railway bridges in China , 2017 .

[39]  S. Cao,et al.  Experimental Study on Effects of Ground Roughness on Flow Characteristics of Tornado-Like Vortices , 2017, Boundary-Layer Meteorology.

[40]  Kang Shi,et al.  Aerodynamic performance of a novel wind barrier for train-bridge system , 2016 .

[41]  E. Sato,et al.  Analysis of the horizontal two‐dimensional near‐surface structure of a winter tornadic vortex using high‐resolution in situ wind and pressure measurements , 2015 .

[42]  Robert Davies-Jones,et al.  A review of supercell and tornado dynamics , 2015 .

[43]  Horia Hangan,et al.  Reproducing tornadoes in laboratory using proper scaling , 2014 .

[44]  Priyavrat Thareja,et al.  The Inclusiveness of Safety First in Quality Education , 2014 .

[45]  Yukio Tamura,et al.  International Group for Wind-Related Disaster Risk Reduction (IG-WRDRR) , 2012 .

[46]  G. Tomasini,et al.  Crosswind action on rail vehicles: A methodology for the estimation of the characteristic wind curves , 2012 .

[47]  M. S. Gritskevich,et al.  Development of DDES and IDDES Formulations for the k-ω Shear Stress Transport Model , 2012 .

[48]  Wei Zhang,et al.  Near-ground tornado-like vortex structure resolved by particle image velocimetry (PIV) , 2012 .

[49]  Vincent T. Wood,et al.  Simulated Tornadic Vortex Signatures of Tornado-Like Vortices Having One- and Two-Celled Structures , 2011 .

[50]  Takeshi Ishihara,et al.  Numerical study on flow fields of tornado-like vortices using the LES turbulence model , 2011 .

[51]  Joshua Wurman,et al.  The Three-Dimensional Axisymmetric Wind Field Structure of the Spencer, South Dakota, 1998 Tornado , 2010 .

[52]  Christopher D. Karstens,et al.  Near-Ground Pressure and Wind Measurements in Tornadoes* , 2010 .

[53]  Daniele Rocchi,et al.  Aerodynamic behaviour investigation of the new EMUV250 train to cross wind , 2010 .

[54]  Christopher Baker,et al.  The simulation of unsteady aerodynamic cross wind forces on trains , 2010 .

[55]  P. Spalart,et al.  A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities , 2008 .

[56]  Dongping Fang,et al.  A life‐cycle risk management framework for PPP infrastructure projects , 2008 .

[57]  Chris Letchford,et al.  Physical Simulation of a Single-Celled Tornado-Like Vortex, Part B: Wind Loading on a Cubical Model , 2008 .

[58]  Chris Letchford,et al.  Physical simulation of a single-celled tornado-like vortex, Part A: Flow field characterization , 2008 .

[59]  Horia Hangan,et al.  Swirl ratio effects on tornado vortices in relation to the Fujita scale , 2008 .

[60]  Partha P. Sarkar,et al.  Design, construction and performance of a large tornado simulator for wind engineering applications , 2008 .

[61]  Antonio Carrarini,et al.  Reliability Based Analysis of the Crosswind Stability of Railway Vehicles , 2006 .

[62]  William A. Gallus,et al.  A translating tornado simulator for engineering tests: comparison of radar, numerical model, and simulator winds , 2004 .

[63]  J. Munday,et al.  Measurements of the cross wind forces on trains , 2004 .

[64]  S Stichel,et al.  Assessment of train-overturning risk due to strong cross-winds , 2004 .

[65]  Jun Xiang,et al.  Theory of random energy analysis for train derailment , 2004 .

[66]  Hiroaki Ishida,et al.  New train regulation method based on wind direction and velocity of natural wind against strong winds , 2002 .

[67]  Andrew L. Pazmany,et al.  Observations of Tornadoes and Other Convective Phenomena with a Mobile, 3-mm Wavelength, Doppler Radar: The Spring 1999 Field Experiment , 2000 .

[68]  J. Xia,et al.  The Influence of a Local Swirl Ratio on Tornado Intensification near the Surface , 2000 .

[69]  Hiroaki Ishida,et al.  Wind-Induced Accidents of Train/Vehicles and Their Measures in Japan , 1999 .

[70]  W. S. Lewellen,et al.  Large-Eddy Simulation of a Tornado’s Interaction with the Surface , 1997 .

[71]  Y. Shmyglevskii,et al.  On “vortex breakdown” , 1995 .

[72]  F. Menter Two-equation eddy-viscosity turbulence models for engineering applications , 1994 .

[73]  Mark Sterling,et al.  University of Birmingham The calculation of train stability in tornado winds , 2018 .

[74]  Yukio Tamura,et al.  WIND-INDUCED DAMAGE TO BUILDINGS AND DISASTER RISK REDUCTION , 2009 .

[75]  Curtis R. Alexander,et al.  The 30 May 1998 Spencer, South Dakota, Storm. Part II: Comparison of Observed Damage and Radar-Derived Winds in the Tornadoes , 2005 .

[76]  Curtis R. Alexander,et al.  The 30 May 1998 Spencer, South Dakota, Storm. Part I: The Structural Evolution and Environment of the Tornadoes , 2005 .

[77]  Charles A. Doswell,et al.  Severe Convective Storms , 2001 .

[78]  M. Hall,et al.  The structure of concentrated vortex cores , 1966 .

[79]  J. Burgers A mathematical model illustrating the theory of turbulence , 1948 .