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作 者:汪之松[1,2] 姚彬彬 方智远 李正良[1,2] 涂熙 WANG Zhisong;YAO Binbin;FANG Zhiyuan;LI Zhengliang;TU Xi(Key Laboratory of New Technology for Construction of Cities in Mountain Area,Chongqing University,Chongqing 400045,China;School of Civil Engineering,Chongqing University,Chongqing 400045,China;School of Civil Engineering,Henan University of Science and Technology,Luoyang 471000,China)
机构地区:[1]重庆大学山地城镇建设与新技术教育部重点实验室,重庆400045 [2]重庆大学土木工程学院,重庆400045 [3]河南科技大学土木工程学院,河南洛阳471000
出 处:《振动与冲击》2023年第21期1-10,共10页Journal of Vibration and Shock
基 金:河南省高等学校重点科研项目(23A560003)。
摘 要:基于刚性模型测压风洞试验,研究异形大跨屋盖的平均风压分布及脉动风压非高斯特征,分别采用高阶统计量法和柯尔莫哥洛夫-斯米尔诺夫(Kolmogorov-Smirnov,K-S)检验法对脉动风压的非高斯特性进行判别并划分其分布区域,最后通过5种概率分布模型对非高斯脉动风压的概率分布进行拟合。结果表明:屋盖表面平均风压以负压分布为主,且负压极值多出现于屋脊或屋面转角的气流分离区;异形大跨屋盖脉动风压的非高斯特性显著,非高斯脉动风压主要出现在屋面迎风前缘、指廊背风侧和屋面转角处,相较于高阶统计量法,K-S检验法的划分结果集中度更好,规律性更强;通过相关系数和均方根误差评价拟合效果,5种概率分布模型中的Weibull模型对非高斯脉动风压概率分布的拟合效果最佳。Here,based on rigid model pressure measurement wind tunnel tests,the average wind pressure distribution and non-Gaussian characteristics of fluctuating wind pressure on irregular large-span roof were studied.High order statistics method and Kolmogorov-Smirnov(K-S) test method were used to distinguish non-Gaussian characteristics of fluctuating wind pressure and divide their distribution areas.Finally,5 probability distribution models were used to fit probability distribution of non-Gaussian fluctuating wind pressure.The results showed that the average wind pressure on the roof surface is mainly negative pressure distribution,and extreme values of negative pressure often occur in airflow separation areas at ridge or corner of the roof;non-Gaussian characteristics of fluctuating wind pressure on irregular large-span roof are significant,non-Gaussian fluctuating wind pressures mainly occur at windward leading edge of the roof,leeward side of corridor and corner of the roof;compared with the high-order statistics method,dividing results with K-S test method have better concentration ratio and stronger regularity;the fitting effect is evaluated with correlation coefficient and RMS deviation,and Weibull model among the 5 probability distribution models has the best fitting effect on probability distribution of non-Gaussian fluctuating wind pressure.
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