（1 湖南科技大学土木工程学院，湘潭 411201； 2 湖南大学建筑安全与节能教育部重点实验室，长沙 410082；3 香港城市大学，香港 999077）

［摘要］ 在边界层风洞中完成了一系列矩形截面高层建筑1∶500刚性模型的同步测压试验。根据试验结果研究了高层建筑表面脉动风压的概率特性。结果表明：高层建筑迎风面脉动风压的概率特性可采用高斯分布来描述，但侧风面、背风面均表现出不同程度的非高斯性，侧风面气流分离所形成的剪切层的厚度越大，非高斯性越明显；基于目标概率法，提出了便于工程应用的峰值因子的取值方法，随着保证率的增大，按该方法计算得到的峰值因子的增大速度比正态分布峰值因子的增大速度快；对矩形截面高层建筑，以99.38%作为目标概率，极大值峰值因子取2.7；极小值峰值因子在立面中间区域取3.3，边缘区域取3.9。

［关键词］高层建筑; 风洞试验; 概率特性; 峰值因子

中图分类号：TU312      文献标识码：A      文章编号：1002-848X(2014)10-0089-05

Probability characteristics and peak factor for fluctuating wind pressures on rectangular tall buildings

Li Yonggui1,2, Li Qiusheng2,3

 (1 College of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; 2 Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Hunan University, Changsha 410082, China; 3 City University of Hong Kong, Hong Kong 999077, China)

Abstract: A series of 1∶500 rigid tall building models were used in boundary layer wind tunnel tests for simultaneous pressure measurements. Based on the experimental results, the probability characteristics of the fluctuating wind pressure were analyzed. The results show that a Gaussian distribution is suitable for describing the probability distribution of the windward fluctuating wind pressure, but the kurtosis and skewness show a non-Gaussian behavior of different degree on crosswind side and leeward side. The thicker the shear layer formed by the separation flow is, the more obvious the non-Gaussian behavior is on crosswind side. A method was supposed to determine the peak factor for engineering application based on the target probability method. With the guarantee rate increasing, peak factor determined by the supposed method increases faster than that by Gaussian distribution. Taking 99.38% as a target probability, for rectangular tall buildings, the maximum peak factor is preferable to be 2.7, and the minimum peak factor can be taken as 3.3 in the middle areas of the facades and 3.9 in the edge regions, respectively.

Keywords: tall building; wind tunnel test; probability characteristic; peak factor

*国家自然科学基金（51178179）, 国家自然科学基金重大研究计划（91215302），湖南省自然科学基金（14JJ6026），交通部西部交通科技项目重大科技专项（2011318824140）。

作者简介：李永贵，博士，讲师，Email：lyg313@126.com。

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