非高斯风压时程峰值因子的简化计算式

采用Hermite矩模型可将非高斯时程表示为高斯时程的非线性函数，建立了非高斯时程和高斯时程之间的一一对应关系，也建立了非高斯峰值因子和高斯峰值因子之间的一一对应关系，为非高斯峰值因子、极值的计算奠定了理论基础。介绍了软化时程、硬化时程和偏斜时程的Hermite矩模型变换理论，明确了高阶矩模型的单调变换范围；在此基础上，研究了软化时程非高斯峰值因子简化计算式的理论误差。结果表明由简化计算式得到的非高斯峰值因子略大，其误差均小于20%。利用非高斯峰值因子的简化计算式，计算了平屋盖表面典型测压点的非高斯峰值因子和风压极值。分析结果表明：绝大多数测压时程样本属于软化时程，极少数样本属于硬化时程或偏斜时程；利用非高斯峰值因子的简化计算式，需要考虑测压时程的随机特性，取多个时程样本峰值因子的平均值作为非高斯峰值因子的代表值。

Reduced formula of peak factor for non-Gaussian wind pressure history

The non-Gaussian wind history can be expressed as the non-linear function of a Gaussian time history by the Hermite moment models. The one-to-one mapping between the non-Gaussian and the Gaussian time histories is established while the one-to-one mapping between the non-Gaussian and the Gaussian peak factors is produced. The moment-based Hermite models provide a method to formulate the non-Gaussian peak factor and extreme wind pressure. The Hermite models of softening, hardening and skewed histories were introduced in this paper while the monotonic limits of high-order softening models were clarified numerically. The theoretical error of reduced formula for non-Gaussian peak factor was investigated. It is indicated that the non-Gaussian peak factor resulted from the reduced formula is slightly larger than the theoretical result and that the relative error is less than 20%. Using the reduced formula of non-Gaussian peak factor, both the peak factors and extreme values of wind pressure on a flat roof were estimated. It is demonstrated that most samples of wind pressure histories belong to the softening histories and a few samples are the hardening or skewed histories and that the mean value of non-Gaussian peak factors is preferred when the randomness of measured samples are considered.