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Bridge design basic wind speed based on the joint distribution of wind speed and direction

机译:基于风速和方向的关节分布,桥梁设计基本风速

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Based on the method of separation of wind speed and direction variable, considering the wind direction frequency function, ascending order to calculate the probability of the actual distribution of the sample, extreme type I (Gumbel) and three parameters of extreme type II (Frechet) and extreme type III (Weibull) probability distribution to fit the sample, this paper has analyzed the weather station observations of 34 consecutive years of the joint distribution of wind speed and direction near to a huge bridge, gained the basic design wind speed in different directions, comparatively analyzed the impact of the sampling interval of change on the basic wind speed as well. The results shows: wind speed in different directions at the same location or different sampling intervals samples of the wind speed sample may be subject to different types of extreme value distribution, should separately fitting; different wind direction frequency of extreme wind speed occurrence and the basic wind speed there are certain differences, taking into account the joint distribution of wind speed and direction is necessary to determine the design basic wind speed of the bridge, and will be conservative without considering the joint distribution; for the same sample wind speed matrix, the shorter the sampling intervals, the optimal distribution of the higher probability model fitting precision, the smaller the basic wind speed, the more economic and reasonable the results.
机译:基于风速和方向变量的分离方法,考虑风向频率函数,升序计算样品的实际分布的概率,极端I(Gumbel)和极端II(Frechet)的三个参数和极端类型III(Weibull)概率分布适合样品,本文分析了天气驻地观察,连续34年的一个巨大的风速和方向接近一座巨大的桥梁,在不同方向上获得了基本设计风速,相比分析了采样间隔对基本风速的影响。结果表明:在相同位置的不同方向上的风速或风速样品的样本可能受到不同类型的极值分布,应单独配合;极端风速发生的不同风向频率和基本风速存在一定的差异,考虑到风速的联合分布和方向是必要的,以确定桥梁的设计基本风速,并将是保守的不考虑联合分布;对于相同的样品风速矩阵,采样间隔越短,较高概率模型的最佳分布拟合精度,基本风速越小,结果越多,结果越多。

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