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A Simulated Data Benchmark Problem in Structural Health Monitoring

Johnson, E. A. and Lam, H. F. and Katafygiotis, L. S. and Beck, J. L. (2001) A Simulated Data Benchmark Problem in Structural Health Monitoring. In: Structural health monitoring : the demands and challenges : proceedings of the 3rd International Workshop on Structural Health Monitoring: the Demands and Challenges, Stanford University, Stanford, CA, September 12-14, 2001. CRC Press , Boca Raton, FL, pp. 469-477. ISBN 1566768810.

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Significant advances have been made in structural health monitoring in recent years, and further breakthroughs have the potential to make structures safer by observing both long-term structural changes and immediate post-disaster damage. However, it is difficult to compare various health monitoring methods since the studies reported in the literature examine different structures and use different evaluation criteria. To provide a basis for common comparisons, this paper describes the first phase in a SHM benchmark problem organized by the IASCASCE Structural Health Monitoring Task Group. This first phase defines a series of simulated measured acceleration records for a scale-model structure, using several different building models and with various damage patterns. The ongoing activities of the Task Group are further detailed at .

Item Type:Book Section
Additional Information:The authors wish to thank the other members of the IASC-ASCE SHM Task Group for their assistance, suggestions, and cooperation in the development of this benchmark problem; particularly: Dionisio Bernal (chair, Northeastern Univ.), Raimondo Betti (Columbia Univ.), Joel P. Conte (UCLA), Shirley J. Dyke (vice-chair, Wash. Univ. St. Louis), Sami F. Masri (Univ. of Southern California), Andrew Smyth (Columbia Univ.), and Carlos E. Ventura (Univ. of British Columbia). Thanks especially to Prof. Ventura for the photograph of the UBC frame, and to Prof. Conte for assistance in calibrating the finite element models described herein. The authors gratefully acknowledge the partial support of this research by the National Science Foundation under CAREER grant CMS 00-94030.
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NSFCMS 00-94030
Record Number:CaltechAUTHORS:20120921-113924957
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:34283
Deposited By: Carmen Nemer-Sirois
Deposited On:26 Nov 2012 21:26
Last Modified:03 Oct 2019 04:17

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