非高斯风压极值估计:基于无可行区限制的传递函数对比研究EI北大核心CSCD

非高斯风压的极值估计对建筑围护结构抗风设计是极其重要的。由于简便性和无可行区限制,基于矩的piecewise HPM(PHPM)、Johnson转换模型(JTM)和piecewise JTM(PJTM)常用于非高斯风压极值估计。现阶段,PJTM对非高斯风压极值的估计效果还缺乏系统的研究,且对于三种无可行区限制模型的极值估计差别尚不明确。为探明三种模型的差别,从而提供一定的选择原则,该文系统对比了三种模型估计非高斯风压极值的精度。该文从理论上对比了三种模型的母本概率密度函数和传递函数;选用超长风洞试验风压数据对三种模型估计非高斯风压极值的精度进行了评估。结果表明:PHPM对非高斯风压(负偏度)极小值的估计精度比PJTM和JTM高,PHPM和PJTM对非高斯风压(负偏度)极大值的估计精度比JTM高。

A COMPARATIVE STUDY ON TRANSLATION FUNCTION WITH THE UNRESTRICTED APPLICATION REGION FOR EXTREME VALUE ESTIMATION OF NON-GAUSSIAN WIND PRESSURES

The extreme value estimation for the non-Gaussian wind pressures is extremely important for the wind-resistant design of building envelope. With its simplicity and unrestricted application region, the moment-based piecewise HPM (PHPM), Johnson transformation model (JTM) and piecewise JTM (PJTM) are usually used to estimate the non-Gaussian wind pressure extremes. Currently, the systematic research on the performance of the PJTM in the non-Gaussian wind pressure extreme estimation is less addressed, and the differences in extreme values estimated by the three unrestricted application region models are unclear. To compare the differences of the three models and provide certain selection principles, this paper systematically compares the accuracy of the three models to estimate the non-Gaussian wind pressure extremes. Firstly, this paper compares the parent probability distribution functions (PDFs) and translation functions by the three models theoretically. Secondly, the very long wind pressure data from a wind tunnel test are used to evaluate the accuracy of the three models to estimate the extreme values of the non-Gaussian wind pressures. The results show that, for the minimum value estimation of the non-Gaussian wind pressure with negative skewness, the accuracy of PHPM is generally higher than that of JTM and PJTM, while for the maximum value estimation of the non-Gaussian wind pressure with negative skewness, the accuracy of PJTM and PHPM is generally higher than that of JTM.