摘要
该文从广义极值理论出发,根据观察极值的相互独立性,推导了风压时程样本的极值分布参数与样本长度之间的关系式。以对风压时程样本的合理分段为手段,给出了一种由众多子样本极值的概率分布参数推算母样本的极值期望值的估算方法。最后,基于风洞试验数据,将该文所用方法与常用极值估算方法(Davenport法、Kown-Kareem法、Sadek-Simiu法和Quan等法)的计算结果进行了比较,表明该方法能更准确地估计非高斯风压的极值。
Based on the generalized extreme value theory as well as the independence of observed extreme values, the relationship between the parameters of the extreme value distribution of wind pressure history and its length of observation is deduced. A new method for estimating the extreme values is developed by dividing the time history sample of the wind pressure into several sub-samples properly. Depending on the wind tunnel test, the calculated extreme values of the wind pressure coefficients obtained from the proposed method and those from the commonly used ones are compared and the results indicate that the present method can estimate the extreme values ofnon-Gaussian wind pressure more accurately than the commonly used ones.
出处
《工程力学》
EI
CSCD
北大核心
2013年第2期44-49,共6页
Engineering Mechanics
基金
土木工程防灾国家重点实验室自主研究课题基金项目(SLDRCE10-B-03)
国家自然科学基金面上项目(51278367)
同济大学中央高校基本科研业务费转项资金项目
关键词
非高斯风压
极值
广义极值理论
风洞试验
极值分布参数
non-Gaussian wind pressure
extreme value
generalized extreme value theory
wind-tunnel test
extreme-value distribution parameters
