Abstract
To study the wind field characteristics near the ground pulsation in typhoon conditions, wind field conditions in the area affected by Typhoon “Fung-Wong” were monitored using wind field instruments installed in the construction building of Wenzhou University, China. Real-time wind field data were collected during typhoons. Wind characteristic parameters such as mean wind speed, wind direction angle, turbulence intensity, gust factor, peak factor, coherence function, and autocorrelation were analyzed, and the wind field characteristics during the typhoon were summarized. The results indicated that the longitudinal and lateral turbulence intensities decreased with an increase in the mean wind speed, and there was an obvious linear relationship between them. The vertical and horizontal gust factor and peak factor decreased with an increase in mean wind speed, and the trend was more obvious in the horizontal direction. There was a significant correlation between the gust factor and the peak factor. The turbulence intensity and gust factor decreased with time, and the turbulence intensity attenuation speed increased with time. The empirical curve presented by Davenport (1961) can simulate the correlation characteristics of the fluctuating wind speed components of Typhoon Fung-Wong at some measuring points. With an increase in the time difference, the dependence of the instantaneous values at the two time points gradually decreased.
Highlights
Wind disasters exhibit high frequency, large secondary effects, and a wide range of influence, with considerable adverse effects on daily life and the social economy
Zhang et al studied the influence effect of the wind direction on the wind characteristic of a deep-cut gorge, and the results showed that the wind characteristic parameters changed greatly between different directions [30]. e probabilistic dependence between wind parameters and structural responses was explored by explicit polynomial regression equations using the data of Xihoumen bridge by Liu et al [31]
Based on the analysis of Typhoon Fung-Wong in Wenzhou, the main findings of this study are summarized as follows: (1) e results show that the longitudinal and lateral turbulence intensities decrease with an increase in the mean wind speed, and the discreteness of the west measuring points is greater than that of the east measuring points. e lateral turbulence intensity increases with an increase in the longitudinal turbulence intensity; there is an obvious positive correlation
Summary
Wind disasters exhibit high frequency, large secondary effects, and a wide range of influence, with considerable adverse effects on daily life and the social economy. E wind profile, turbulence intensity, turbulence integral scale, coherence function, power spectral density of fluctuating wind speed, and other parameters of monsoon and typhoon data were studied. Based on a health monitoring system installed in a super high-rise building in Hong Kong during several typhoons, wind characteristic parameters including turbulence intensity, peak factor, turbulence integral scale, and power spectral density were analyzed and discussed. Wind characteristic parameters including mean wind speed, wind direction angle, turbulence intensity, gust factor, peak factor, coherence function, and autocorrelation were studied and can be used for data reference in disaster prevention and for structural design of low-rise buildings in typical working conditions in this region. Using the vector decomposition method to process the measured data, the 10-minute mean wind speed and mean wind direction angle during Typhoon Fung-Wong were calculated. E 10-minute mean wind speed fluctuated from 2 to 10 m/s. e maximum 10-minute mean wind speed at the east measuring point was 10.35 m/s; the maximum 10-minute mean wind speed at the west measuring point was 7.72 m/s. e variation in the mean wind direction angle is concentrated from 10° to 80°; the wind direction angle is relatively stable during the movement of the typhoon. e wind direction angle at the west measuring point is approximately 15° larger than that at the east measuring point, and the fluctuation is more severe
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