A simulation methodology of the stationary non-Gaussian stochastic wind pressure field

摘要

A simulation methodology is presented to simulate a stationary stochastic wind pressure field consisting of Gaussian and non-Gaussian regions based on the zero memory nonlinearity translation method and the spectral representation method. The transformation functions between the non-Gaussian and Gaussian scaled covariance functions are derived for the stochastic process following the lognormal or the Weibull distribution. A scheme is then proposed to cope with the negative definite matrices of the power spectral density function while the underlying Gaussian stochastic processes are generated. Finally, a numerical example is given to illustrate that the samples generated by the proposed method can represent the statistical and spectral properties as well as the spatial correlation of the wind pressure processes obtained from wind tunnel testing.