TECHNICAL PAPERS
Apr 15, 2004

Identification of Natural Frequencies and Dampings of In Situ Tall Buildings Using Ambient Wind Vibration Data

Publication: Journal of Engineering Mechanics
Volume 130, Issue 5

Abstract

An accurate prediction for the response of tall buildings subject to strong wind gusts or earthquakes requires the information of in situ dynamic properties of the building, including natural frequencies and damping ratios. This paper presents a method of identifying natural frequencies and damping ratios of in situ tall buildings using ambient wind vibration data. Our approach is based on the empirical mode decomposition (EMD) method, the random decrement technique (RDT), and the Hilbert–Huang transform. Our method requires only one acceleration sensor. The noisy measurement of the building acceleration is first processed through the EMD method to determine the response of each mode. Then, RDT is used to obtain the free vibration modal response. Finally, the Hilbert transform is applied to each free vibration modal response to identify natural frequencies and damping ratios of in situ tall buildings. The application of the proposed methodology is demonstrated in detail using simulated response data of a 76-story benchmark building polluted by noise. Both the along-wind and across-wind vibration measurements have been illustrated. Simulation results demonstrate that the accuracy of the proposed method in identifying natural frequencies and damping ratios is remarkable. The methodology proposed herein provides a new and effective tool for the parametric identification of in situ tall buildings.

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References

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Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 130Issue 5May 2004
Pages: 570 - 577

History

Received: Aug 16, 2001
Accepted: Oct 1, 2003
Published online: Apr 15, 2004
Published in print: May 2004

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Authors

Affiliations

Jann N. Yang
Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Irvine, CA 92697.
Ying Lei
Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of California, Irvine, CA 92697.
Silian Lin
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of California, Irvine, CA 92697.
Norden Huang
Laboratory for Hydrospheric Processes, NASA Goddard Space Flight Center, Greenbelt, MD 20771.

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