Technical Papers
Aug 8, 2016

Recursive Combined Subspace Identification Technique for Tracking Dynamic Characteristics of Structures under Earthquake Excitation

Publication: Journal of Engineering Mechanics
Volume 142, Issue 12

Abstract

Subspace identification techniques are a popular parametric time-domain method for extracting modal parameters of a structure under ambient condition. These techniques can simultaneously process a large quantity of data and potentially extract the most information from the measurement. Most of the developed subspace identification techniques, however, assume white-noise input, and hence cannot be used for structures under earthquake excitation. In this study, an input–output recursive combined subspace identification technique is proposed for tracking modal parameters of a time-varying structure under nonstationary earthquake excitation. The technique incorporates an orthogonal projection and an instrumental variable approach to eliminate the effect of earthquake input and measurement noise, respectively. A bi-iteration subspace tracker is then applied to extract step by step the structural modal parameters. The proposed technique is validated numerically on a four-degree-of-freedom structure and experimentally on a three-degree-of-freedom building model. Both numerical and experimental results show that the proposed technique can track structural modal parameters under nonstationary earthquake excitation quite well.

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Acknowledgments

This study is supported by the Hong Kong Research Grants Council Competitive Earmarked Research Grant 611112.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 142Issue 12December 2016

History

Received: Jan 4, 2016
Accepted: Jun 22, 2016
Published online: Aug 8, 2016
Published in print: Dec 1, 2016
Discussion open until: Jan 8, 2017

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Authors

Affiliations

Kaihui Zhong [email protected]
Ph.D. Student, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong (corresponding author). E-mail: [email protected]
C. C. Chang, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong. E-mail: [email protected]

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