TY - JOUR
T1 - Assessment of overturning risk of high-speed trains in strong crosswinds using spectral analysis approach
AU - Yan, Naijie
AU - Chen, Xinzhong
AU - Li, Yongle
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/3
Y1 - 2018/3
N2 - This study introduces a spectral analysis framework for assessing overturning risk of high-speed trains in strong crosswinds. The wind turbulence relative to moving vehicles is used to model stochastic wind excitation, whose spectral characteristics are determined by a newly introduced general method from the spectrum and coherence function of turbulence relative to ground. The unsteady aerodynamic forces on vehicles are modeled with consideration of longitudinal, lateral and vertical turbulence components. Based on the wind tunnel experiments of a typical China railway high-speed train model, the side and lift force coefficients and aerodynamic admittance functions associated with different turbulence components are extracted, where the effects of spatial coherence of turbulence are explicitly accounted for. The probabilistic overturning risk is then evaluated through unloading rate of wheel-rail contact force, which leads to the determination of probabilistic characteristic wind curve. The results demonstrated that the dynamic wheel-rail contact force induced by track irregularities is lower than that by wind turbulence. In addition to the traditionally considered longitudinal turbulence, the lateral and vertical turbulence components also have great contribution to vehicle response. Adequate modeling of aerodynamic admittance functions is also important for better quantifications of vehicle response and overturning risk.
AB - This study introduces a spectral analysis framework for assessing overturning risk of high-speed trains in strong crosswinds. The wind turbulence relative to moving vehicles is used to model stochastic wind excitation, whose spectral characteristics are determined by a newly introduced general method from the spectrum and coherence function of turbulence relative to ground. The unsteady aerodynamic forces on vehicles are modeled with consideration of longitudinal, lateral and vertical turbulence components. Based on the wind tunnel experiments of a typical China railway high-speed train model, the side and lift force coefficients and aerodynamic admittance functions associated with different turbulence components are extracted, where the effects of spatial coherence of turbulence are explicitly accounted for. The probabilistic overturning risk is then evaluated through unloading rate of wheel-rail contact force, which leads to the determination of probabilistic characteristic wind curve. The results demonstrated that the dynamic wheel-rail contact force induced by track irregularities is lower than that by wind turbulence. In addition to the traditionally considered longitudinal turbulence, the lateral and vertical turbulence components also have great contribution to vehicle response. Adequate modeling of aerodynamic admittance functions is also important for better quantifications of vehicle response and overturning risk.
KW - Aerodynamic admittance function
KW - Crosswind
KW - Dynamic response
KW - Moving vehicle
KW - Overturning risk
KW - Unsteady aerodynamic forces
UR - http://www.scopus.com/inward/record.url?scp=85039988804&partnerID=8YFLogxK
U2 - 10.1016/j.jweia.2017.12.024
DO - 10.1016/j.jweia.2017.12.024
M3 - Article
AN - SCOPUS:85039988804
VL - 174
SP - 103
EP - 118
JO - Journal of Wind Engineering and Industrial Aerodynamics
JF - Journal of Wind Engineering and Industrial Aerodynamics
SN - 0167-6105
ER -