Abstract
Efficient simulation techniques are required to generate fluctuating wind pressures on building surfaces in a generic fashion not only for the evaluation of extreme pressures but also for fatigue design purposes. Within this context, a general approach for representing Gaussian as well as non-Gaussian wind pressure characteristics using the fast Fourier transform (FFT) algorithm is presented. The simulation procedure, which is developed based on several wind tunnel measurements, requires the knowledge of both Fourier amplitude and phase in order to generate pressure time histories. The amplitude part is constructed from measured pressure spectra or fitted empirical expressions for subsequent simulations in a synthetic manner. A simple stochastic model with a single parameter is suggested for phase simulations. The computation of the model parameter has been carried out by minimizing the sum of the squared errors in higher-order statistics such as skewness and kurtosis. The efficiency of this methodology for generating fluctuating wind pressures on low building roofs has been demonstrated. Applications of the methodology have also been briefly discussed.
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