Wind and Structures

Volume 34, Number 5, 2022, pages 421-435

DOI: 10.12989/was.2022.34.5.421

Non-Gaussian features of dynamic wind loads on a long-span roof in boundary layer turbulences with different integral-scales

Xiongwei Yang, Qiang Zhou, Yongfu Lei, Yang Yang and Mingshui Li

Abstract

To investigate the non-Gaussian properties of fluctuating wind pressures and the error margin of extreme wind loads on a long-span curved roof with matching and mismatching ratios of turbulence integral scales to depth (Lxu/D) a series of synchronized pressure tests on the rigid model of the complex curved roof were conducted. The regions of Gaussian distribution and non-Gaussian distribution were identified by two criteria, which were based on the cumulative probabilities of higher-order statistical moments (skewness and kurtosis coefficients, Sk and Ku) and spatial correlation of fluctuating wind pressures, respectively. Then the characteristics of fluctuating wind-loads in the non-Gaussian region were analyzed in detail in order to understand the effects of turbulence integral-scale. Results showed that the fluctuating pressures with obvious negative-skewness appear in the area near the leading edge, which is categorized as the non-Gaussian region by both two identification criteria. Comparing with those in the wind field with matching Lxu/D the range of non-Gaussian region almost unchanged with a smaller Lxu/D while the non-Gaussian features become more evident, leading to higher values of Sk, Ku and peak factor. On contrary, the values of fluctuating pressures become lower in the wind field with a smaller Lxu/D eventually resulting in underestimation of extreme wind loads. Hence, the matching relationship of turbulence integral scale to depth should be carefully considered as estimating the extreme wind loads of long-span roof by wind tunnel tests.

Key Words

long-span roof; non-Gaussian features; peak factor; probability distribution; turbulence integral scale

Address

Xiongwei Yang:Research Centre for Wind Engineering, Southwest Jiaotong University, No. 111, Section 1, North 2nd Ring Road, Chengdu, Sichuan, China, 610031 Qiang Zhou:1)Research Centre for Wind Engineering, Southwest Jiaotong University, No. 111, Section 1, North 2nd Ring Road, Chengdu, Sichuan, China, 610031 2)Key Laboratory for Wind Engineering of Sichuan Province, Southwest Jiaotong University, No. 111, Section 1, North 2nd Ring Road, Chengdu, Sichuan, China, 610031 Yongfu Lei:Research Centre for Wind Engineering, Southwest Jiaotong University, No. 111, Section 1, North 2nd Ring Road, Chengdu, Sichuan, China, 610031 Yang Yang:Key Laboratory for Wind Engineering of Sichuan Province, Southwest Jiaotong University, No. 111, Section 1, North 2nd Ring Road, Chengdu, Sichuan, China, 610031 Mingshui Li:Key Laboratory for Wind Engineering of Sichuan Province, Southwest Jiaotong University, No. 111, Section 1, North 2nd Ring Road, Chengdu, Sichuan, China, 610031