考虑随机风压场非高斯特性的大跨度膜屋盖风振响应

作用于大跨度膜屋盖结构上的随机风压场在统计意义上由高斯和非高斯区域构成。基于零记忆非线性转化法理论，提出了这种混合随机风压场的模拟方法，算例表明，生成的随机风压场样本能准确描述实验数据的各项统计特性。将生成的样本和利用传统方法生成的高斯随机风压样本作用于某膜屋盖结构，经风振时域分析后发现，高斯随机风压激励下结构部分构件的响应值比非高斯随机风压激励下的响应值低，这表明，随机风压荷载的非高斯特性不容忽视。文章还给出了结构不同构件的整体风振响应系数。

Wind-induced Response Analysis on a Large-span Membrane Roof by Considering Non-gaussian Stochastic Wind Pressure Field

The stochastic fluctuating wind pressure field acting on a large-span membrane roof consists of Gaussian and non-Gaussian regions in the sense of statistics. Simulation of this stochastic field is presented based on the zero memory nonlinearity （ZMNL） transformation method. A case study is then given to show that the stochastic wind pressure field samples generated by the proposed method can well represent the specified statistical characteristics of data from the wind tunnel experiment. After that, the wind-induced response analysis is conducted on a membrane roof structure using the Gaussian/non-Gaussian composed wind pressure field samples generated by the proposed method and the Gaussian samples by the traditional method, respectively. Results indicate that response values of some components of the structure induced by the Gaussian samples are lower than those by the Gaussian/non-Gaussian composed wind pressure samples, which means the non-Gaussian characteristics of the stochastic wind pressure should not be ignored. Meanwhile, the total gust response factors of the components caused by the wind excitation are given to meet with the requirement of the designers.