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为克服基于H erm ite谱修正方法的缺点,减少该方法中计算H erm ite多项式系数所需耗费的大量机时,提出了一种模拟非高斯风压场的新方法,采用非高斯累积分布函数(CDF)映射技术来代替基于H erm ite的概率密度函数(PDF)修正。选择任意边缘PDF模型作为概率目标模型,采用目标功率谱密度(PSD)作为样本函数,通过迭代修正该样本函数,使其收敛于目标概率密度函数和目标功率谱密度。将该方法应用于实际结构的非高斯风场模拟,模拟结果与目标谱符合良好,表明本文方法模拟非高斯风场具有较高的精确度和计算效率。
In order to overcome the shortcomings of H erm ite method and reduce the large number of machine time required to calculate H erm iteration polynomial coefficients, a new method of simulating non-Gaussian wind pressure field is proposed. Non-Gaussian cumulative distribution function (CDF) mapping technique instead of H erm ite-based probability density function (PDF) correction. Select any edge PDF model as the probabilistic target model, using the target power spectral density (PSD) as the sample function, iteratively correct the sample function to converge to the target probability density function and the target power spectral density. The method is applied to the non-Gaussian wind field simulation of the actual structure. The simulation results are in good agreement with the target spectrum, indicating that the proposed method simulates non-Gaussian wind fields with high accuracy and computational efficiency.