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Wind Tunnel Pressure Series Statistics for the Case of a Large Span Canopy Roof
Iranian Journal of Science and Technology, Transactions of Civil Engineering ( IF 1.7 ) Pub Date : 2020-09-18 , DOI: 10.1007/s40996-020-00458-x
Fabio Rizzo

This paper investigates pressure coefficient and peak factor statistics for a hyperbolic paraboloid canopy roof used as a tensile structure to cover a soccer arena. The non-Gaussian properties of the pressure coefficient processes are measured at different roof locations for different wind angles of attack. Peak factor statistics, estimated using pressure coefficient time histories experimentally measured in wind tunnel tests and measured on the bottom and on the top of the roof, are compared with corresponding peak factor statistics estimated through use of four analytical models available in the literature, namely the Davenport, classical Hermite, revised Hermite, and translated-peak-process (TPP) models. It was found that: (1) all analytical models underestimate the mean and standard deviations of the experimental peak factors; (2) the non-Gaussianity region is significantly affected by the position on the roof, i.e., up and down, whereas it is less affected by the wind angle; (3) the two Hermite models provide accurate estimates of peak factor mean and standard deviations.

中文翻译:

大跨度雨棚屋面风洞压力序列统计

本文研究了用作拉伸结构以覆盖足球场的双曲抛物面天篷屋顶的压力系数和峰值因子统计数据。压力系数过程的非高斯特性是在不同的屋顶位置针对不同的风迎角进行测量的。使用在风洞试验中通过实验测量并在屋顶底部和顶部测量的压力系数时间历程估计的峰值因子统计量与通过使用文献中可用的四种分析模型估计的相应峰值因子统计量进行比较,即Davenport、经典 Hermite、修正 Hermite 和平移峰值过程 (TPP) 模型。发现:(1)所有的分析模型都低估了实验峰因子的均值和标准差;(2)非高斯区受屋顶位置即上下影响显着,而受风角影响较小;(3) 两个 Hermite 模型提供了峰值因子均值和标准差的准确估计。
更新日期:2020-09-18
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