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针对传统风压极值估计方法存在的缺陷,提出了适用于单个样本随机过程的极值估计法—全概率逼近法。通过对某多塔组合冷却塔风洞测压试验结果进行分析表明,全概率逼近法避开了对随机过程的高斯分布假定,对于呈现明显非高斯分布的随机过程,相比传统的极值估计方法能得到较好的结果;由于群塔和周边建筑的干扰效应,壳体表面不同区域其脉动风压变化幅度不同,可以通过采用不同的峰值因子来考虑其脉动风效应影响。
Aiming at the shortcomings of the traditional methods of extreme pressure estimation, this paper presents an extreme value estimation method - total probability approximation method which is suitable for a single sample stochastic process. Through the analysis of the pressure test results of the wind tunnel in a multi-tower combined cooling tower, the total probability approximation method avoids the assumption of Gaussian distribution for the stochastic process. Compared with the traditional extreme value estimation for the stochastic process with obvious non-Gaussian distribution, The method can get better results. Due to the interference effect between the group tower and the surrounding buildings, the variation range of fluctuating wind pressure in different regions of the shell surface is different. The influence of the fluctuating wind effect can be considered by adopting different peak factors.