根据国内某大桥桥址处实测风速资料,获得了该地区风场10m高平均风速U10地面粗糙度z0的统计概率特征,以及纵向脉动风速Fourier谱曲线;基于Kolmogrov理论,提出了随机Fourier谱经验公式,应用随机建模理论和非线性优化技术,获得了实测风场的随机Fourier幅值谱函数以及基本随机变量的概率密度函数。与实测资料Fourier谱样本集合的比较表明,本文建立的随机Fourier谱能够很好地表征实测资料Fourier谱的随机性。同时,通过实测风速资料,进一步验证了本文提出的随机Fourier谱具有很好的通用性。
In this paper, the statistic probabilistic characteristics of the mean wind velocity at 10 m height U10 and the roughness length z0 as well as z0 the Fourier amplitude curves of longitudinal gust velocity are obtained by measuring wind velocity data at the site of a bridge in China. Based on the Kolmogrov theory, the empirical formula of random Fourier spectrum is presented. Then the stochastic modeling theory and nonlinear optimization technique are applied to determine the random Fourier spectrum function as well as the probability density function of basic random variables. By comparing with the sample set of Fourier amplitude spectrum of the field, it is demonstrated that the proposed random Fourier spectrum can perfectly refleet the random characteristics of the field data.