An analytical model for the fluctuating wind velocity spectra of a moving vehicle

Abstract An analytical model for both the longitudinal and lateral fluctuating wind velocity spectra of a moving train in the random wind field has been developed based on Cooper's theory ( Cooper, 1984 ). The fluctuating wind velocity spectrum of a moving point can be derived through the weighted linear superposition of the longitudinal and lateral spectra of the stationary point with both frequency and amplitude scaling. The proposed analytical model has been validated systematically, and based on the Simiu spectrum ( Simiu and Scanlan, 1996 ), parametric studies were conducted for the influence on the fluctuating spectra of a moving train by wind flow angle from 0°, 30°, 60°, 90°, to 150° and varying speed ratios between vehicle and wind (mean wind velocity of 20 m/s) from 1 to 4. It is revealed that the fluctuating wind velocity spectrum experienced by a moving train exhibits a Doppler effect phenomena due to the train movement, especially in the longitudinal case. The proposed spectrum model can provide an efficient simulation scheme for the fluctuating wind velocity time series of the moving train with adequate accuracy and can provide a rigorous analytical scheme for the subsequent aerodynamic response analysis of the moving train within the random wind field.

[1]  Haifan Xiang,et al.  An efficient ergodic simulation of multivariate stochastic processes with spectral representation , 2011 .

[2]  Masanobu Shinozuka,et al.  Simulation of Multivariate and Multidimensional Random Processes , 1971 .

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

[4]  Guoqing Huang,et al.  New formulation of Cholesky decomposition and applications in stochastic simulation , 2013 .

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

[6]  Suren Chen,et al.  Framework of vehicle–bridge–wind dynamic analysis , 2004 .

[7]  Giorgio Diana,et al.  Methodologies for assessing trains CWC through time-domain multibody simulations , 2007 .

[8]  Huoyue Xiang,et al.  A new simulation algorithm of multivariate short-term stochastic wind velocity field based on inverse fast Fourier transform , 2014 .

[9]  R. Cooper Atmospheric turbulence with respect to moving ground vehicles , 1984 .

[10]  Emil Simiu,et al.  Wind effects on structures : fundamentals and applications to design , 1996 .

[11]  G. Taylor The Spectrum of Turbulence , 1938 .

[12]  You-Lin Xu,et al.  Dynamic analysis of coupled road vehicle and cable-stayed bridge systems under turbulent wind , 2003 .

[13]  Chris Baker,et al.  Ground vehicles in high cross winds part I: Steady aerodynamic forces , 1991 .

[14]  Mengxue Wu,et al.  Wind spectrum and correlation characteristics relative to vehicles moving through cross wind field , 2014 .

[15]  T. Kármán,et al.  The Fundamentals of the Statistical Theory of Turbulence , 1937 .

[16]  Jiali Liu,et al.  Investigation of aerodynamic effects on the high-speed train exposed to longitudinal and lateral wind velocities , 2016 .