Abstract

This paper presents the study of the pulsating characteristics of three adjacent high-rise buildings A, B, and C under typhoon ‘Moranti’ (2016) based on the measurement of the actual top wind speed. The studied pulsating characteristics included mean wind speed and direction, turbulence intensity, gust factor, turbulence integral scale, wind speed spectrum and correlation. The relationships between each pulsating parameter and the relationship between the pulsating parameter and gust duration have been investigated. Results show that the mean wind speed and wind direction of three buildings are close. When U ≥ 10 m/s in three different sites at the same time, the turbulence intensity variation of three buildings is consistent and decreases when mean wind speed increases. Once only two locations are acquired simultaneously and the wind angle between 35° and 45°, the mean values of the along-wind and cross-wind turbulence of building A and building C are close. The along-wind turbulence of the three buildings is greater than the predicted Chinese codes for various terrains. The turbulence intensity and gust factors obtained through the analysis of the samples with the mean wind speed U ≥ 10 m/s are reasonable. The turbulence integral scales of buildings A and C are equal to the predicted values of ASCE-7 and AIJ-2004, whereas the turbulent integral scale of building B is evidently small. The gust factors of three buildings increase when the turbulence intensity increases; these two characteristics have a linear relationship. At the same time interval, building B has the maximum along-wind turbulence intensity and gust factors during the low wind speed period and building C achieves the minimum values. Building A acquires the maximum and building C obtains the minimum values in the high wind speed period. The turbulence intensity and gust factors of building B show a certain pulsation. Results show that turbulence intensity and gust factors are mainly affected by the short-term fluctuation of wind. The longitudinal wind speed spectrum of three buildings conforms well to the von Karman model. The correlation of along-wind speed depends on the wind speed, whereas the correlation of cross-wind direction is independent of wind speeds. The measured data and statistical parameters provide useful information for the wind resistance design of high-rise buildings in typhoon-prone areas.

Highlights

  • Typhoons are highly destructive and disastrous weather systems and one of the major catastrophic weather systems that affect China

  • The turbulence intensity in the alongwind direction of three high-rises ranged from 17.7% to 30.8%, which is greater than the value specified in a relevant standard (GB50009-2012) in China when the terrain category changed from

  • Conclusions of this study are summarized as follows: The conclusions of this study are summarized as follows: (1) The three high-rise buildings have similar mean values of measured mean wind speed and direction, which enabled a comparison of the wind characteristics

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Summary

Introduction

For the purpose of investigating the turbulent characteristics of strong wind during a typhoon landing period, two 3-dimensional ultrasonic anemometer stations are set up 30 m horizontally apart on the Macao Friendship Bridge [15] These field studies are limited to the wind field characteristics under the condition of relatively open topography near the ground, and with the continuous increase in the height of high-rise buildings being built, more attention is paid to the multi-point wind characteristics at heights above 100 m. Judging from the direction of the building and the location of the anemometer, the wind fields on the roofs of high-rises A and B are less disturbed when the northeast wind is dominant. Typhoon Meranti; (b) The relationship between experimental site and typhoon typhoon

Research Method for Wind Characteristics
Mean Wind Speed and Wind Direction
Before
Comparison
Variation in turbulence intensities with 10
1.64 Gust Factor
Analysis of Fluctuating
Relations Between Fluctuating Parameters
Relations Between Fluctuating
Wind Speed Spectrum
Relativity of Wind Turbulence
Findings
Conclusions
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