SHM in integrity management of deterioration prone concrete structures

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    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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