TY - JOUR
T1 - Predicting of tall building response to non-stationary winds using multiple wind speed samples
AU - Huang, Guoqing
AU - Chen, Xinzhong
AU - Liao, Haili
AU - Li, Mingshui
PY - 2013/8
Y1 - 2013/8
N2 - 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.
AB - 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.
KW - Evolutionary power spectra density function
KW - Extreme value distribution
KW - Non-stationary winds
KW - Tall building response
KW - Time history samples
UR - http://www.scopus.com/inward/record.url?scp=84885081881&partnerID=8YFLogxK
U2 - 10.12989/was.2013.17.2.227
DO - 10.12989/was.2013.17.2.227
M3 - Article
AN - SCOPUS:84885081881
SN - 1226-6116
VL - 17
SP - 227
EP - 244
JO - Wind and Structures, An International Journal
JF - Wind and Structures, An International Journal
IS - 2
ER -