New Stochastic Subspace Approach for System Identification and Its Application to Long-Span Bridges
Publication: Journal of Engineering Mechanics
Volume 139, Issue 6
Abstract
This paper investigates the model order determination problem in the identification of dynamic characteristics of long-span bridges subjected to ambient excitation. Based on a stochastic state-space model framework, a new approach for state variable estimation is proposed, which is developed for the purpose of properly determining the order of a mathematical model of the structure under consideration. Comparing the newly developed approach with existing ones, their performances for system identification are evaluated with respect to their ability to highlight structural properties against noise ones in terms of the solution of a singular value problem, from a theoretical point of view and in applications to numerical and field measurements of a suspension bridge. From these applications, it is demonstrated that the newly developed approach is the most effective among the existing ones in discriminating structural modes, including weakly excited and closely spaced modes, from noise ones in terms of singular values, even when dealing with low signal-to-noise ratio signals and nonwhite wind excitation.
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Acknowledgments
We would like to acknowledge support from the California Department of Conservation, Strong Motion Instrumentation Program, Contract No. 1006-903. We also wish to thank Dyab A. Khazem (Parsons Transportation Group) for his help in developing the initial finite-element model.
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Information
Published In
Journal of Engineering Mechanics
Volume 139 • Issue 6 • June 2013
Pages: 724 - 736
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Sep 14, 2010
Accepted: Aug 6, 2012
Published online: Aug 18, 2012
Published in print: Jun 1, 2013
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