Modified Cross-Correlation Method for the Blind Identification of Structures
Publication: Journal of Engineering Mechanics
Volume 136, Issue 7
Abstract
Recently, blind source separation (BSS) methods have gained significant attention in the area of signal processing. Independent component analysis (ICA) and second-order blind identification (SOBI) are two popular BSS methods that have been applied to modal identification of mechanical and structural systems. Published results by several researchers have shown that ICA performs satisfactorily for systems with very low levels of structural damping, for example, for damping ratios of the order of 1% critical. For practical structural applications with higher levels of damping, methods based on SOBI have shown significant improvement over ICA methods. However, traditional SOBI methods suffer when nonstationary sources are present, such as those that occur during earthquakes and other transient excitations. In this paper, a new technique based on SOBI, called the modified cross-correlation method, is proposed to address these shortcomings. The conditions in which the problem of structural system identification can be posed as a BSS problem is also discussed. The results of simulation described in terms of identified natural frequencies, mode shapes, and damping ratios are presented for the cases of synthetic wind and recorded earthquake excitations. The results of identification show that the proposed method achieves better performance over traditional ICA and SOBI methods. Both experimental and large-scale structural simulation results are included to demonstrate the applicability of the newly proposed method to structural identification problems.
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Acknowledgments
The writers thank the financial support provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) through their Discovery Grants and Collaborative Research Grant (CRD) programs.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 136 • Issue 7 • July 2010
Pages: 889 - 897
Copyright
© 2010 ASCE.
History
Received: Jan 9, 2009
Accepted: Dec 23, 2009
Published online: Dec 29, 2009
Published in print: Jul 2010
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