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  • Integrated Bridge Deterioration Modeling for Concrete Elements Incorporating Elman Neural Network

    Author(s)
    Bu, GP
    Lee, JH
    Guan, H
    Loo, YC
    Griffith University Author(s)
    Loo, Yew-Chaye
    Guan, Hong
    Year published
    2013
    Metadata
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    Abstract
    In order to minimise the shortcomings of insufficient inspection records, an integrated and enhanced bridge deterioration method using a combination of state-based and time-based probabilistic techniques has recently been developed. It has demonstrated an improved performance as compared to the standalone probabilistic techniques. Nevertheless certain shortcomings still remain in the integrated method which necessities further improvement. In this study, the core component of the state-based modeling is replaced by an Elman Neural Networks (ENN). The integrated method incorporated with ENN is more effective in predicting ...
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    In order to minimise the shortcomings of insufficient inspection records, an integrated and enhanced bridge deterioration method using a combination of state-based and time-based probabilistic techniques has recently been developed. It has demonstrated an improved performance as compared to the standalone probabilistic techniques. Nevertheless certain shortcomings still remain in the integrated method which necessities further improvement. In this study, the core component of the state-based modeling is replaced by an Elman Neural Networks (ENN). The integrated method incorporated with ENN is more effective in predicting long-term bridge performance as compared to the typical deterministic deterioration modeling techniques. As part of a comprehensive case study program, this paper presents the deterioration prediction of 35 bridge elements with material types of cast-in-situ Concrete (C) and Precast concrete (P). These elements are selected from 86 bridges (totaling 1,855 inspection records). The enhanced reliability of the proposed integrated method incorporating ENN is confirmed.
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    Conference Title
    From Materials to Structures: Advancement Through Innovation - Proceedings of the 22nd Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2012
    Publisher URI
    http://acmsm.org/
    DOI
    https://doi.org/10.1201/b15320-158
    Subject
    Infrastructure engineering and asset management
    Publication URI
    http://hdl.handle.net/10072/53900
    Collection
    • Conference outputs

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