Abstract：Based on the orthogonal expansion of stochastic processes, and the idea of random function, a hybrid orthogonal expansion-random function approach is proposed to simulate fluctuating wind. In this method, these standard orthogonal random variables in the orthogonal expansion formula can be denoted by the orthogonal function form of a basic random variable. Through investigating the form of orthogonal random functions, the original stochastic process can be readily functioned by a single basic random variable. Utilizing the proposed approach, schemes for simulation of fluctuating wind processes are presented. The results show that the proposed approach can accurately capture the second-order statistics of fluctuating wind processes using only a basic random variable, and show the effectiveness and advantages of the orthogonal expansion-random function method.
2014, Vol. 33 
