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    Volume 50, Issue 1 (June 2021)

    Degradation Rate Prediction of Bridges Using Historical Vibration Data

    (Received 23 October 2020; accepted 13 April 2021)

    Published Online: 30 June 2021

    CODEN: JTEVAB

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    Abstract

    Prediction of the future health state of civil structures allows maintenance agencies to undertake timely repair and replacement activities. Appropriate conduct of maintenance actions ensures accident-free operation of the transport network. Precise estimation of remaining useful life of civil structures is achievable through the availability of the degradation history, selection of appropriate degradation models, and efficient prognostic algorithms. In the reported research work, the variation in modal energy due to progressive degradation of the structure is used as a degradation quantification feature. Then, a sequential Monte Carlo–based particle filter (PF)–based scheme is reformulated to undertake bridge health prognosis of an aging in-service concrete bridge situated in a harbor area, using historical nondestructive testing data. A microelectromechanical systems–based accelerometer sensors are installed at different bridge segments to record vibration data. The historical database of the degradation feature is segmented into training and validation regions. The particle filter algorithm ultimately predicts the posterior probability density function of the degradation quantification feature for the next time instant(s). The promising prognostic results highlight the efficacy of the proposed scheme.

    Author Information:

    Ali, Syed Humair
    Department of Electronic and Power Engineering (PNEC - Karachi Campus), National University of Sciences and Technology (NUST), Islamabad

    Khan, Tariq Mairaj Rasool
    Department of Electronic and Power Engineering (PNEC - Karachi Campus), National University of Sciences and Technology (NUST), Islamabad

    Shahid, Muhammad Atayyab
    Department of Electronic and Power Engineering (PNEC - Karachi Campus), National University of Sciences and Technology (NUST), Islamabad

    Yousuf, Waleed bin
    Department of Electronic and Power Engineering (PNEC - Karachi Campus), National University of Sciences and Technology (NUST), Islamabad


    Stock #: JTE20200666

    ISSN:0090-3973

    DOI: 10.1520/JTE20200666

    Author
    Title Degradation Rate Prediction of Bridges Using Historical Vibration Data
    Symposium ,
    Committee E07