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Non-Gaussian characteristics of fluctuating wind pressure on irregular large-span roof |
WANG Zhisong1,2, YAO Binbin2,FANG Zhiyuan3, LI Zhengliang1,2, TU Xi1,2 |
1.Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400045, China; 2.School of Civil Engineering, Chongqing University, Chongqing 400045, China; 3.School of Civil Engineering, Henan University of Science and Technology, Luoyang 471000, China |
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Abstract Based on the wind tunnel pressure test of the rigid model of the irregular large-span roof, the distribution of average wind pressure and non-Gaussian characteristics of the roof surface pulsating wind pressure were studied. High-order Statistical Moment Method and Kolmogorov-Smirnov (K-S) Method were used to discriminate the non-Gaussian pulsating wind pressure and divide its distribution area. Then five probability distribution models were used to fit the probability distribution of non-Gaussian pulsating wind pressure. The results show that the average wind pressure on the roof surface is generally negative, and the extreme value of negative pressure mostly occurs in the airflow separation area of the roof ridge or roof corner. The results of non-Gaussian pulsating wind pressure division area indicate: the non-Gaussian pulsating wind pressure of irregular large-span roof is obvious, and the non-Gaussian pulsating wind pressure mainly occurs in the windward eave, the leeward side of the corridor and the roof corner. However,the results of the K-S Method are more centralized and more regular compared with High-order Statistical Moment Method. The fitting performance is evaluated by Correlation coefficient and Root Mean Square Error. Among the five probability distribution models, the Weibull model has the best fitting effect on the probability distribution of non-Gaussian pulsating wind pressure.
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Received: 21 October 2022
Published: 15 November 2023
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