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Wind and Structures
  Volume 19, Number 4, October 2014, pages 353-370
DOI: http://dx.doi.org/10.12989/was.2014.19.4.353
 


Wavelet-transform-based damping identification of a super-tall building under strong wind loads
An Xu, Jiurong Wu and Ruohong Zhao

 
Abstract
    A new method is proposed in this study for estimating the damping ratio of a super tall building under strong wind loads with short-time measured acceleration signals. This method incorporates two main steps. Firstly, the power spectral density of wind-induced acceleration response is obtained by the wavelet transform, then the dynamic characteristics including the natural frequency and damping ratio for the first vibration mode are estimated by a nonlinear regression analysis on the power spectral density. A numerical simulation illustrated that the damping ratios identified by the wavelet spectrum are superior in precision and stability to those values obtained from WWelch\'s periodogram spectrum. To verify the efficiency of the proposed method, wind-induced acceleration responses of the Guangzhou West Tower (GZWT) measured in the field during Typhoon Usagi, which affected this building on September 22, 2013, were used. The damping ratios identified varied from 0.38% to 0.61% in direction 1 and from 0.22% to 0.59% in direction 2. This information is expected to be of considerable interest and practical use for engineers and researchers involved in the wind-resistant design of super-tall buildings.
 
Key Words
    wind effect; tall building; field measurement; damping ratio
 
Address
An Xu:Engineering Technology Research and Development Center for Structural Wind Resistance and Health
Monitoring in Guangdong Province, Guangzhou University, Guangzhou, 510006, China;
Research Center for Structural Safety and Health Monitoring of Guangdong Education Department ,Guangzhou University, Guangzhou, 510006,China;
Guangzhou Municipal Key Laboratory for Structural Safety and Health Monitoring, Guangzhou University,Guangzhou, 510006, China;
Key Laboratory of Structure and Wind Tunnel of Guangdong Higher Education Institutes, Shantou 515063,China
Jiurong Wu and Ruohong Zhao:Engineering Technology Research and Development Center for Structural Wind Resistance and Health
Monitoring in Guangdong Province, Guangzhou University, Guangzhou, 510006, China;
Research Center for Structural Safety and Health Monitoring of Guangdong Education Department ,Guangzhou University, Guangzhou, 510006,China;
Guangzhou Municipal Key Laboratory for Structural Safety and Health Monitoring, Guangzhou University,Guangzhou, 510006, China
 

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