首页|基于短期观测记录的重现期风速预测

基于短期观测记录的重现期风速预测

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在偏僻地区或山区建设重要建筑物、构筑物或桥梁时,通常在附近安装风速观测仪器,获得至少 1 年的短期风速记录.提出了根据短期风速记录预测指定重现期风速极值及风压方法,为结构抗风设计提供了科学依据.提出独立风暴法提取短期风速记录的最大值,建立极值I型概率分布模型,采用最好线性无偏估计方法确定概率分布参数.依据短期风速最大值概率与年风速最大值概率的变换关系,建立年发生最大值的概率分布及重现期风速、风压的表达式.算例结果表明,重现期风速预测值的离散性与风速阈值有关,在预测值离散系数较小的情况下可确定重现期风速及其置信区间.
Prediction of wind speed with mean recurrence interval from short-term records
When constructing the important buildings,structures or bridges in remote areas or mountainous areas,wind speed observation instruments are usually installed nearby to obtain short-term wind speed records of at least one year.A method of predicting extreme wind speed and wind pressure with a specified return period based on short-term wind speed records was proposed,which provides a scientific basis for wind-resisting design of structures.The independent storm method was proposed to extract the maximum speeds of short-term records;and then the extreme value Ⅰ-type probability distribution model was established,in which the best linear unbiased estimation method was used to determine the probability distribution parameters.According to the transformation relationship between the probability of the maximum value of short-term wind speed and the probability of the maximum value of annual wind speed,the probability distribution model of the maximum annual wind speeds was obtained while the expression of wind speed and wind pressure with a specified return period were established.The results of an example show that the discreteness of the predicted speed is related to the threshold value of wind speed,and the wind speed and its confidence interval can be determined when the discrete coefficient is small.

short-term recordextreme value Ⅰ-type distributionbest linear unbiased estimationextreme wind speed

田玉基、刘文珽、李波、周长东、陈伟湖

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北京交通大学土木建筑工程学院,北京 100044

结构风工程与城市风环境北京市重点实验室,北京 100044

中国建筑设计研究院有限公司,北京 100044

短期风速记录 极值I型分布 最好线性无偏估计 风速极值

国家重点研发计划子课题国家自然科学基金项目

2018YFF0300302-0451878040

2024

建筑结构
中国建筑设计研究院 亚太建设科技信息研究院 中国土木工程学会

建筑结构

CSTPCD北大核心
影响因子:0.723
ISSN:1002-848X
年,卷(期):2024.54(2)
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