Wind and Structures

  • 제17권2호
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  • Pages.227-244
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  • 2013
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Predicting of tall building response to non-stationary winds using multiple wind speed samples

  • Huang, Guoqing (Research Center for Wind Engineering, School of Civil Engineering, Southwest Jiaotong University) ;
  • Chen, Xinzhong (Wind Science and Engineering Research Center, Department of Civil and Environmental Engineering, Texas Tech University) ;
  • Liao, Haili (Research Center for Wind Engineering, School of Civil Engineering, Southwest Jiaotong University) ;
  • Li, Mingshui (Research Center for Wind Engineering, School of Civil Engineering, Southwest Jiaotong University)
  • 투고 : 2012.04.03
  • 심사 : 2012.12.03
  • 발행 : 2013.08.25
⟨ 이전 논문 다음 논문 ⟩

초록

Non-stationary extreme winds such as thunderstorm downbursts are responsible for many structural damages. This research presents a time domain approach for estimating along-wind load effects on tall buildings using multiple wind speed time history samples, which are simulated from evolutionary power spectra density (EPSD) functions of non-stationary wind fluctuations using the method developed by the authors' earlier research. The influence of transient wind loads on various responses including time-varying mean, root-mean-square value and peak factor is also studied. Furthermore, a simplified model is proposed to describe the non-stationary wind fluctuation as a uniformly modulated process with a modulation function following the time-varying mean. Finally, the probabilistic extreme response and peak factor are quantified based on the up-crossing theory of non-stationary process. As compared to the time domain response analysis using limited samples of wind record, usually one sample, the analysis using multiple samples presented in this study will provide more statistical information of responses. The time domain simulation also facilitates consideration of nonlinearities of structural and wind load characteristics over previous frequency domain analysis.

키워드

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