Possibilistic Approach for Damage Detection in Structural Health Monitoring
Publication: Journal of Structural Engineering
Volume 133, Issue 9
Abstract
This article suggests the process of structural health monitoring (SHM) in the context of a nonstatistical damage detection paradigm. We particularly focus on applying the theory of possibility to the damage detection problem. The basic idea behind the proposed approach is that the application of possibility theory does not require probabilistic knowledge or assumptions on the damage feature and thus encompasses aleatoric and epistemic types of uncertainties. The approach is not damage feature dependent and thus is generic for use in many SHM systems. Additionally, two new damage metrics are introduced. These metrics extract information concerning damage evidence from observations performed at unknown health states of structures. Damage detection with the aid of the proposed approach is demonstrated by means of a case study.
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Acknowledgments
This research was funded by Sandia National Laboratories (SNL). The writers would like to extend their appreciation for this funding. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear Security Administration under Contract No. DOEDE-AC04-94AL85000. Special thanks to Dr. K. K. Choi for his valuable discussion and review of the manuscript.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 133 • Issue 9 • September 2007
Pages: 1247 - 1256
Copyright
© 2007 ASCE.
History
Received: Sep 8, 2006
Accepted: Dec 14, 2006
Published online: Sep 1, 2007
Published in print: Sep 2007
Notes
Note. Associate Editor: Shahram Sarkani
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