Model-Based Damage Identification in a Continuous Bridge Using Vibration Data
Publication: Journal of Performance of Constructed Facilities
Volume 24, Issue 2
Abstract
Damage often causes changes in the dynamic characteristics of a structure such as frequencies and mode shapes. Vibration-based damage identification techniques utilize the changes in the dynamic characteristics of a structure to determine the location and extent of damage in the structure. Such techniques are applied in this study to the Crowchild Bridge, a steel-free deck continuous bridge located in western Canada. While the numerical models of the bridge are correlated with the measured dynamic characteristics, computer simulation is used to study the identification of a number of different damage patterns, and the effects of measurement errors and incomplete mode shapes on the quality of results are evaluated. The effectiveness of some selected damage identification techniques is examined; the potential difficulties in identifying the damage are outlined; and areas of further research are suggested. A three-dimensional finite-element model and a simple two-dimensional girder model of the bridge have been constructed to study the usefulness of the selected damage identification methods. Another promising damage detection method proposed here is based on the application of neural networks that combines a vibration-based method.
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Acknowledgments
The support of the Canadian Network of Centres of Excellence on Intelligent Sensing for Innovative Structures (ISIS Canada) and Fonds québécois de la recherche sur la nature et les technologies is gratefully acknowledged.
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Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 24 • Issue 2 • April 2010
Pages: 148 - 158
Copyright
© 2010 ASCE.
History
Received: Nov 11, 2008
Accepted: Jul 1, 2009
Published online: Mar 15, 2010
Published in print: Apr 2010
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