风作用的概率模型

M. Holicky, M. Sýkora
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引用次数: 4

摘要

通常情况下,风的作用可以表示为时不变分量和时变分量的乘积。时不变分量主要来源于压力因子、阵风因子和粗糙度,由单个因子的乘积表示。时变分量是由基本风压与风速平方的关系引起的。这里考虑了四种类型的分布来描述所涉及的随机变量:三参数威布尔分布WB3,一般极值分布GEV,三参数对数正态分布LN3和Gumbel分布GU,这是GEV的一种特殊情况。现有资料表明,年风速的统计参数与局地条件有很大关系。平均变异系数约为0.12,偏度约为0.3。时不变分量C的变异系数约为0.2,偏度约为0.35。年风压w的变异系数约为0.3,偏度约为0.8。50年极端风压w的变异系数为0.23,偏度为0.56。综合上述数据可知,LN3最能描述年风速和风压,其预测结果与WB3的下界分布相似。进一步的研究应主要集中在年风速和时不变分量的概率模型上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic Models for Wind Actions
In common cases the wind actions may be expressed as a product of time invariant and time variant components. The time invariant components, originated primarily from the pressure factor, gust factor and roughness, are represented by the product a single factor. The time variant component is caused by the basic wind pressure dependent on square of wind speed. Four types of distributions are considered here to describe involved random variables: three parameter Weibull distribution WB3, general extreme value distribution GEV, three parameter lognormal distribution LN3 and the Gumbel distribution GU, which is a special case of GEV. Available data indicate that the statistical parameters of annual wind speed depend significantly on local conditions. The average coefficient of variation is about 0.12, the skewness around 0.3. The time invariant component C has the coefficient of variation about 0.2 and skewness around 0.35. The annual wind pressure w, has the coefficient of variation about 0.3 and skewness 0.8. Then the 50 years extreme wind pressure w has the coefficient of variation 0.23 and skewness 0.56. Considering the above mentioned data it is shown that both the annual wind speed and wind pressure can be best described by LN3 that provide similar predictions as lower bounded WB3 distribution. Further research should be primarily focused on probabilistic models for the annual wind speed and the time invariant components.
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