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  • Development of Methodology for Enhancing Visual Bridge Condition Assessment Using Image Processing Techniques

    Author(s)
    Wi, Huiju
    Lee, Jaeho
    Blumensteinz, Michael
    Guan, Hong
    Loo, Yew-Chaye
    Griffith University Author(s)
    Loo, Yew-Chaye
    Blumenstein, Michael M.
    Guan, Hong
    Lee, Jaeho
    Wi, Huiju
    Year published
    2013
    Metadata
    Show full item record
    Abstract
    Many bridge authorities have implemented Bridge Information Systems (BISs) or Bridge Management Systems (BMSs) to effectively manage their routine inspection information. The success of a BMS is highly dependent on the quality of bridge inspection outcomes and accurate estimation of future bridge condition ratings. To ensure such successful outcomes, a BMS must (1) contain reliable, consistent and accurate condition data from routine bridge inspections; and (2) encompass reliable deterioration modelling that overcomes the shortcomings of a lack of historical bridge inspection records. However published literature demonstrates ...
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    Many bridge authorities have implemented Bridge Information Systems (BISs) or Bridge Management Systems (BMSs) to effectively manage their routine inspection information. The success of a BMS is highly dependent on the quality of bridge inspection outcomes and accurate estimation of future bridge condition ratings. To ensure such successful outcomes, a BMS must (1) contain reliable, consistent and accurate condition data from routine bridge inspections; and (2) encompass reliable deterioration modelling that overcomes the shortcomings of a lack of historical bridge inspection records. However published literature demonstrates that several limitations exist particularly in terms of inconsistency of inspection outcomes due to subjective judgment. To minimise such limitations, this paper presents a feasibility study for the enhancement of the current visual bridge inspection method using optical image processing techniques. The development work consists of image processing and knowledge-based approaches. It is anticipated that the proposed method is capable of minimising the shortcomings of subjective judgment on condition rating assessment and providing cost effective solutions to bridge agencies. Ultimately, the proposed bridge inspection methodology can provide consistent and accurate evaluation on the condition states of bridge elements. This in turn will lead to more reliable predictions of long-term bridge performance.
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    Journal Title
    Applied Mechanics and Materials
    Volume
    256-259
    DOI
    https://doi.org/10.4028/www.scientific.net/AMM.256-259.1563
    Subject
    Infrastructure Engineering and Asset Management
    Engineering
    Publication URI
    http://hdl.handle.net/10072/55284
    Collection
    • Journal articles

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