Structural Damage Detection Using Dynamic Properties Determined from Laboratory and Field Testing
Publication: Journal of Performance of Constructed Facilities
Volume 22, Issue 4
Abstract
Studies have shown that experimentally determined dynamic properties can be used to identify the characteristics of a structure. In this paper, a damage detection technique is developed and demonstrated using system identification, finite-element modeling, and a modal update process. The proposed approach, SFM, provides a rapid estimate of damage locations and magnitudes. The proposed methodology is applied to three case studies. The first is a numerical simulation using computer generated data. The second is an ASCE benchmark problem for structural health monitoring, where the results can be compared to other researchers. The third is a full-scale highway bridge that was field tested using a forced vibration shaking machine. In this case study, the bridge was shaken in several states of damage and the proposed methodology was utilized to detect and determine the location and extent of the damage. It was found that, using the collected data, the SFM approach was able to consistently predict the location of damage as well as estimate the magnitude of the damage.
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Acknowledgments
This work is part of an international effort. The first writer would like to express his sincere appreciation to Dr. C. C. Lin of National Chung Hsiang University (NCHU) in Taichung, Taiwan, for giving him the opportunity to work at NCHU and for all his patience and expert help on this project. Funding was provided by the Federal Highway Administration (FHwA) and the Utah Department of Transportation (UDOT). The writers also wish to acknowledge the many graduate students at Utah State University who have contributed to this research.
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Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 22 • Issue 4 • August 2008
Pages: 238 - 244
Copyright
© 2008 ASCE.
History
Received: Aug 14, 2007
Accepted: Jan 15, 2008
Published online: Aug 1, 2008
Published in print: Aug 2008
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