SHM in integrity management of deterioration prone concrete structures

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Potential benefits of improving performance prediction using structural health monitoring (SHM), and their implications on integrity management of deterioration prone structures, is discussed in this paper. Key challenges in the use of SHM in performance prediction are highlighted. A methodology is presented, using Bayesian Event Updating, to rationally reduce epistemic uncertainty in predictive models by virtue of SHM data. An example of a reinforced concrete member under chloride attack is used to demonstrate the methodology. The updated structural performance is compared with the results from predictive model alone. The confidence in predicted performance is considerably improved, hence the management activities such as inspections, repair and maintenance etc can be delayed keeping consistent target reliability levels.
Original languageEnglish
Title of host publicationBridge Maintenance, Safety, Management and Life-Cycle Optimization
Subtitle of host publicationProceedings of the Fifth International IABMAS Conference, Philadelphia, USA, 11-15
EditorsRichard Sause, Dan M. Frangopol, Chad Kusko
PublisherCRC Press
Number of pages8
ISBN (Print)9780415877862
Publication statusPublished - 2010

Publication series

NameBridge Maintenance, Safety and Management

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  • Cite this

    Rafiq, M. I. (2010). SHM in integrity management of deterioration prone concrete structures. In R. Sause, D. M. Frangopol, & C. Kusko (Eds.), Bridge Maintenance, Safety, Management and Life-Cycle Optimization: Proceedings of the Fifth International IABMAS Conference, Philadelphia, USA, 11-15 (Bridge Maintenance, Safety and Management). CRC Press.