Challenges in the Application of Stochastic Modal Identification Methods to a Cable-Stayed Bridge
Publication: Journal of Bridge Engineering
Volume 12, Issue 6
Abstract
This paper presents an analysis of the data collected in the ambient vibration test of the International Guadiana cable-stayed Bridge, which links Portugal and Spain, based on different output-only identification techniques: peak-picking, frequency domain decomposition, covariance-driven stochastic subspace identification, and data-driven stochastic subspace identification. The purpose of the analysis is to compare the performance of the four techniques and evaluate their efficiency in dealing with specific challenges involved in the modal identification of the tested cable-stayed bridge, namely the existence of closely spaced modes, the perturbation produced by the local vibration of stay-cables, and the variation of modal damping coefficients with wind velocity. The identified natural frequencies and mode shapes are compared with the corresponding modal parameters provided by a previously developed numerical model. Additionally, the variability of some modal damping coefficients is related with the variation of the wind characteristics and associated with a component of aerodynamic damping.
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Acknowledgments
This work was developed in the context of the Research Project (POCTI/ECM/46475/2002) “Vibrations in Cable-Stayed Bridges” and of the Ph.D. scholarship provided to the first author (SFRH/BD/24423/2005). The writers acknowledge the corresponding funding support provided by the Portuguese Foundation for Science and Technology (FCT).
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Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 12 • Issue 6 • November 2007
Pages: 746 - 754
Copyright
© 2007 ASCE.
History
Received: Feb 6, 2006
Accepted: Nov 15, 2006
Published online: Nov 1, 2007
Published in print: Nov 2007
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