DOI QR코드

DOI QR Code

Wavelet-transform-based damping identification of a super-tall building under strong wind loads

  • Xu, An (Engineering Technology Research and Development Center for Structural Wind Resistance and Health Monitoring in Guangdong Province, Guangzhou University) ;
  • Wu, Jiurong (Engineering Technology Research and Development Center for Structural Wind Resistance and Health Monitoring in Guangdong Province, Guangzhou University) ;
  • Zhao, Ruohong (Engineering Technology Research and Development Center for Structural Wind Resistance and Health Monitoring in Guangdong Province, Guangzhou University)
  • 투고 : 2014.01.17
  • 심사 : 2014.06.16
  • 발행 : 2014.10.25

초록

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 Welch'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.

키워드

참고문헌

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피인용 문헌

  1. Lateral drift constrained structural optimization of an actual supertall building acted by wind load vol.26, pp.6, 2017, https://doi.org/10.1002/tal.1344
  2. Evaluation of Wind-Induced Response Bounds of High-Rise Buildings Based on a Nonrandom Interval Analysis Method vol.2018, pp.1875-9203, 2018, https://doi.org/10.1155/2018/3275302
  3. Improved combination method of background component and resonant component of wind loads on high-rise buildings vol.27, pp.13, 2018, https://doi.org/10.1002/tal.1487
  4. Modal Identification from Non-Stationary Responses of High-Rise Buildings by Variational Mode Decomposition and Direct Interpolation Techniques vol.20, pp.11, 2014, https://doi.org/10.1142/s0219455420501151