Simulation of non-Guassian fluctuating wind pressure
Li Jinhua Li Chunxiang Shen Jianhong
1. Department of Civil Engineering, Shanghai University, Shanghai 200072;2. Department of Civil Engineering, Qingdao Technological University, Qingdao 266520
Abstract：In the simulation of wind loads, it is mostly hypothesized that wind loads are stationary Gaussian stochastic processes. But, inasmuch as the wind pressure fluctuations measured at corners as well as other separation flow regions of roofs of buildings are found to be highly non-Gaussian, the Gaussian assumption is not appropriate for the generation of the wind pressure time history in these local regions. In order to simulate the non-Gaussian fluctuating wind pressure, the following framework is proposed in the present paper. Firstly, the power spectral density (PSD) function of fluctuating wind pressure is deduced rigorously by resorting to the relationship between the wind pressure and velocity. Then, an efficient yet practical method by which the fluctuating wind pressure may be reproduced with the designated skewness and kurtosis is presented based on the derived PSD function, Johnson translator system, and digital filter. Finally, in order to corroborate the feasibility and correctness of the present methodology, a numerical example of simulating one-dimensional uni-variate non-Guassian fluctuating wind pressure is taken into consideration. Numerical results indicate that the statistical parameters, such as the skewness and kurtosis, of the simulated fluctuating wind pressure are in remarkably agreement with their targets. Likewise, the PSDs of the simulated records and target show considerably good agreement with each other.
2009, Vol. 28 
