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  • Performance Prediction of Concrete Elements in Bridge Substructures using Integrated Deterioration Method

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    83581_1.pdf (498.8Kb)
    Author(s)
    Bu, Guoping
    Lee, Jaeho
    Guan, Hong
    Blumenstein, Michael
    Loo, Yew-Chaye
    Griffith University Author(s)
    Loo, Yew-Chaye
    Blumenstein, Michael M.
    Guan, Hong
    Lee, Jaeho
    Bu, Guoping
    Year published
    2012
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    Abstract
    The typical probabilistic deterioration model cannot guarantee a reliable long-term prediction for various situations of available condition data. To minimise this limitation, this paper presents an advanced integrated method using state-/time-based model to build a reliable transition probability for prediction long-term performance of bridge elements. A selection process is developed in this method to automatically select a suitable prediction approach for a given situations of condition data. Furthermore, a Backward Prediction Model (BPM) is employed to effectively prediction the bridge performance when the inspection ...
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    The typical probabilistic deterioration model cannot guarantee a reliable long-term prediction for various situations of available condition data. To minimise this limitation, this paper presents an advanced integrated method using state-/time-based model to build a reliable transition probability for prediction long-term performance of bridge elements. A selection process is developed in this method to automatically select a suitable prediction approach for a given situations of condition data. Furthermore, a Backward Prediction Model (BPM) is employed to effectively prediction the bridge performance when the inspection data are insufficient. In this study, a benchmark example-concrete element in bridge substructures is selected to demonstrate that the BPM in conjunction with time-based model can improve the reliability of long-term prediction.
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    Conference Title
    18th IABSE Congress on Innovative Infrastructures - Toward Human Urbanism
    Publisher URI
    https://iabse.org/Publications/Archive
    DOI
    https://doi.org/10.2749/222137912805110240
    Copyright Statement
    © 2012 IASBE. The attached file is posted here in accordance with the copyright policy of the publisher, for your personal use only. No further distribution permitted. Use hypertext link for access to conference website.
    Subject
    Infrastructure Engineering and Asset Management
    Publication URI
    http://hdl.handle.net/10072/52288
    Collection
    • Conference outputs

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