Structural damage detection of RC structures using AR model coefficients

Madhuka Jayawardhana, Xinqun Zhu, Ranjith Liyanapathirana

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    ![CDATA[Structural health monitoring and damage detection techniques have been vital to maintain safety and integrity of structures, to increase their life span and to reduce costs of maintenance of repairs. Damage detection algorithms play a key role in any structural health monitoring system. This paper presents a novel damage sensitive feature for structural damage detection. This feature is computed using Auto-Regressive model coefficients. Verification of the accuracy of structural damage detection using this feature was done using response data from a series of tests carried out on a reinforced concrete structure. The novel damage feature combined with the Fisher criterion for statistical evaluation has shown promising results in structural damage detection and localization.]]
    Original languageEnglish
    Title of host publicationDynamics for Sustainable Engineering: Proceedings of the 14th Asia-Pacific Vibration Conference, 5-8 December 2011, Hong Kong
    PublisherThe Hong Kong Polytechnic University
    Pages298-306
    Number of pages9
    ISBN (Print)9789623677318
    Publication statusPublished - 2011
    EventAsia-Pacific Vibration Conference -
    Duration: 5 Dec 2011 → …

    Conference

    ConferenceAsia-Pacific Vibration Conference
    Period5/12/11 → …

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