Probability Density Distribution of Wind Pressure Time Series of Low rise Buildings

Abstract:

The rigid model measurement experiment of low rise buildings with low pitch was conducted. First, the skewness distribution of the roof was analyzed, then the probability distribution of pressure coefficient time series of the single tap and area average of several taps in different regions was compared among the Gamma, generalized extreme value(GEV) and Lognorm probability density distributions by probability plot correlation coefficient(PPCC) method. The results show that when the wind blows oblique to the roof, the skewness of each region is different. The skewness of the conical vortex aixs is small while that of the two wings exceeds 1.50, where the largest value is up to 3.00. The time series with small skewness (less than 0.80) is fitted best with the Lognorm distribution. The time series with large skewness (larger than 0.80) is fitted best with the GEV distribution. And when the skewness is larger than 1.50, the deviation between the original probability distribution of the time series and any of the distribution is getting more large. The skewnesse of the area average time series is between 0.50 and 1.50, and the probability distribution is fitted well with any of the three kinds of distribution.