Influence of the railway vehicle properties in the running safety against crosswinds

Abstract The aim of the present study consists of evaluating the influence of the most relevant geometric, mechanical and aerodynamic vehicle properties in the risk of derailment caused by crosswinds. To achieve this objective, a vehicle-structure interaction model is used to carry out non-linear dynamic analyses to assess the train-track coupling behaviour in the presence of winds. By computing the wheel-rail contact forces, the derailment risk is evaluated based on the unloading criterion, as suggested by the European Norm EN 14067–6 (2016), for several scenarios with different train and wind speeds. The wind is simulated with a stochastic model that allows the generation of turbulent wind time-histories based on power spectral density functions. The reference vehicle adopted in this work corresponds to the European InterCity Express 3 (ICE-3) train, whose original properties were parameterized in order to evaluate their influence in the vehicle's stability. The parametric study focused on several properties of the vehicle, namely the carbody mass, height of the gravity centre, aerodynamic coefficients, and stiffness and damping of the suspensions. Apart from the suspensions' properties, which prove to have a negligible influence in the vehicle's stability, the remaining parameters have a significant impact in the running safety against crosswinds.

[1]  Rui Calçada,et al.  Running safety evaluation of a train moving over a high-speed railway viaduct under different track conditions , 2021 .

[2]  R. Calçada,et al.  A comparative study on the running safety of trains subjected to crosswinds simulated with different wind models , 2020 .

[3]  Werner Schiehlen,et al.  On the simulation of stochastic processes by spectral representation , 1997 .

[4]  Nevin Lianwen Zhang,et al.  Dynamic analysis of a train-bridge system under wind action , 2008 .

[5]  W. W. Guo,et al.  Dynamic Response of Suspension Bridge to Typhoon and Trains. II: Numerical Results , 2007 .

[6]  Teng Wu,et al.  Simulation of train–bridge interaction under wind loads: a rigid-flexible coupling approach , 2017 .

[7]  Rui Calçada,et al.  Evaluation of the train running safety under crosswinds - a numerical study on the influence of the wind speed and orientation considering the normative Chinese Hat Model , 2020 .

[8]  Pablo Antolin Sanchez.  Efectos dinámicos laterales en vehículos y puentes ferroviarios sometidos a la acción de vientos transversales , 2013 .

[9]  Miguel A. Astiz,et al.  Non-linear vehicle-bridge-wind interaction model for running safety assessment of high-speed trains over a high-pier viaduct , 2018 .

[10]  Rui Calçada,et al.  Impact of track irregularities and damping on the fatigue damage of a railway bridge deck slab , 2018 .

[11]  Yl L. Xu,et al.  Dynamic Response of Suspension Bridge to High Wind and Running Train , 2003 .

[12]  P. A. Montenegro,et al.  Wheel-rail contact formulation for analyzing the lateral train-structure dynamic interaction , 2015 .

[13]  Rui Calçada,et al.  Dynamic effects on a train-bridge system caused by stochastically generated turbulent wind fields , 2020 .

[14]  M. Shinozuka,et al.  Simulation of Stochastic Processes by Spectral Representation , 1991 .

[15]  Rui Calçada,et al.  Stability of a train running over the Volga river high-speed railway bridge during crosswinds , 2020, Structure and Infrastructure Engineering.

[16]  Rui Calçada,et al.  Validation of a vertical train–track–bridge dynamic interaction model based on limited experimental data , 2020, Structure and Infrastructure Engineering.

[17]  Zhen Li,et al.  Dynamics of high-speed train in crosswinds based on an air-train-track interaction model , 2015 .

[18]  Werner Schiehlen,et al.  MODELING AND SIMULATION OF RAILWAY BOGIE STRUCTURAL VIBRATIONS , 1998 .

[19]  Nan Zhang,et al.  Consideration of nonlinear wheel–rail contact forces for dynamic vehicle–bridge interaction in high-speed railways , 2013 .

[20]  W. W. Guo,et al.  Dynamic responses of Tsing Ma Bridge and running safety of trains subjected to Typhoon York , 2013 .

[21]  G. Deodatis.  Simulation of Ergodic Multivariate Stochastic Processes , 1996 .

[22]  J.-N. Yang,et al.  Simulation of random envelope processes. , 1972 .

[23]  Rui Calçada,et al.  A direct method for analyzing the nonlinear vehicle–structure interaction , 2012 .

[24]  J. Kaimal,et al.  Spectral Characteristics of Surface-Layer Turbulence , 1972 .

[25]  G. Tomasini,et al.  Wind tunnel tests on train scale models to investigate the effect of infrastructure scenario , 2010 .

[26]  Piotr Szurgott,et al.  Modernization of the KNI 140070 viaduct and its influence on dynamic response under selected high speed train , 2015 .

[27]  Tian Zhang,et al.  Analysis on running safety of train on bridge with wind barriers subjected to cross wind , 2013 .

[28]  Oreste S. Bursi,et al.  Bouc–Wen-Type Models with Stiffness Degradation: Thermodynamic Analysis and Applications , 2008, 0901.1447.

[29]  Katsuhiro Kikuchi,et al.  Study of aerodynamic coefficients used to estimate critical wind speed for vehicle overturning , 2015 .

[30]  Shizhong Qiang,et al.  Dynamics of wind–rail vehicle–bridge systems , 2005 .

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

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

[33]  John L. Lumley,et al.  The structure of atmospheric turbulence , 1964 .

[34]  E. Dimitrakopoulos,et al.  Vehicle–bridge interaction analysis modeling derailment during earthquakes , 2018 .

[35]  Mohsen A. Issa,et al.  Behavior of masonry-infilled nonductile reinforced concrete frames , 2002 .

[36]  Pablo Antolin,et al.  Nonlinear Train-Bridge Lateral Interaction Using a Simplified Wheel-Rail Contact Method Within a Finite Element Framework , 2012 .

[37]  Hiroyuki Sugiyama,et al.  Railroad Vehicle Dynamics: A Computational Approach , 2007 .

[38]  G. Tomasini,et al.  Experimental study on the aerodynamic forces on railway vehicles in presence of turbulence , 2013 .

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

[40]  Martin Gallagher,et al.  Trains in crosswinds – Comparison of full-scale on-train measurements, physical model tests and CFD calculations , 2018 .

[41]  Mark Sterling,et al.  An investigation of the aerodynamic admittances and aerodynamic weighting functions of trains , 2009 .

[42]  F. Dorigatti,et al.  Crosswind effects on the stability of a model passenger train—A comparison of static and moving experiments , 2015 .

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

[44]  Carsten Proppe,et al.  Cross-wind effects on road and rail vehicles , 2009 .

[45]  Silvano Erlicher,et al.  Pseudopotentials and Loading Surfaces for an Endochronic Plasticity Theory with Isotropic Damage , 2008, 0901.1447.

[46]  Minoru Suzuki,et al.  Field Tests and Wind Tunnel Tests on Aerodynamic Characteristics of Train/Vehicles under Crosswinds , 2016 .

[47]  Daniele Rocchi,et al.  Cross wind and rollover risk on lightweight railway vehicles , 2016 .

[48]  Haifan Xiang,et al.  SIMULATION OF STOCHASTIC WIND VELOCITY FIELD ON LONG-SPAN BRIDGES , 2001 .