极值风速风向的联合概率密度函数

发布时间：2018-02-16 13:44

本文关键词： 极值风速风向联合概率密度函数基本风速相关系数　出处：《浙江大学学报(工学版)》2017年06期 　论文类型：期刊论文

【摘要】：基于最大熵原理,构建极值风速风向的联合概率密度函数,并与Copula函数建立相互关联.以我国某地的极值风数据为例,建立极值风速的Gumbel分布模型以及对应风向的二阶混合von Mises分布模型;使用非线性参数优化算法确定极值风速风向的联合分布模型.采用该模型计算各风向角下不同重现期的基本风速值,并与建筑结构荷载规范值(GB 50009-2012)进行对比.结果表明,联合分布模型能够有效表征实际风速风向的概率分布特征.分别采用Spearman秩相关系数和线性-角度变量相关系数对模型的相关性予以验证,探究模型的有效性.
[Abstract]:Based on the maximum entropy principle, the joint probability density function of extreme wind speed and wind direction is constructed, and the joint probability density function is related to the Copula function. The Gumbel distribution model of extreme wind speed and the second-order mixed von Mises distribution model corresponding to wind direction are established. The nonlinear parameter optimization algorithm is used to determine the joint distribution model of extreme wind speed and wind direction. The model is used to calculate the basic wind speed values of different recurrence periods at different wind direction angles, and to compare with the values of building structure load code (GB50009-2012). The results show that, The Spearman rank correlation coefficient and the linear angle variable correlation coefficient are used to verify the correlation of the model and the validity of the model is explored by using the joint distribution model which can effectively represent the probability distribution characteristics of the actual wind speed and wind direction.
【作者单位】：浙江大学结构工程研究所;温州瓯江口产业集聚区管理委员会;
【基金】：国家自然科学基金资助项目(51378468)
【分类号】：TU312.1

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