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  • Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments

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    ChanPUB2928.pdf (473.2Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Chan, Brodie
    Guan, Hong
    Hou, Lei
    Jo, Jun
    Blumenstein, Michael
    Wang, Jun
    Griffith University Author(s)
    Guan, Hong
    Jo, Jun
    Year published
    2016
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    Abstract
    Current bridge inspection practices are typically predicated upon manual paper-based data collection methods, which significantly limit the ability to transfer knowledge gained throughout the lifecycle of the asset, to benefit the assessment of the inspector or engineer. This study aims to overcome the limitations of current practices and proposes a conceptual framework to improve the reliability and efficiency of current bridge asset management practices through the integration of Building Information Modeling (BIM) and advanced computing and imaging technologies. As a tool for bridge inspections, BIM offers significant ...
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    Current bridge inspection practices are typically predicated upon manual paper-based data collection methods, which significantly limit the ability to transfer knowledge gained throughout the lifecycle of the asset, to benefit the assessment of the inspector or engineer. This study aims to overcome the limitations of current practices and proposes a conceptual framework to improve the reliability and efficiency of current bridge asset management practices through the integration of Building Information Modeling (BIM) and advanced computing and imaging technologies. As a tool for bridge inspections, BIM offers significant potential when integrated with laser scanning and keypoint-based texture recognition, which allows for the detection of such defects as cracking, corrosion or settlement in bridge components. In recent years, the construction industry has seen an increased use of BIM technology on-site to aid the construction process. However, the applications of it are deficient through the asset management phases of a project. Given the ability of BIM to house all component specific information gathered from the construction, inspection and maintenance phases, BIM is envisioned to allow emphasis to be placed on retrieving the relevant information throughout the project lifecycle, ultimately enabling engineers and bridge inspectors to make more informed decisions about the current condition of the structure. Using BIM as the focal point for information collection throughout the project lifecycle, findings from advanced imaging and data processing are proposed to be stored within the model for recall at future bridge assessments.
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    Journal Title
    Journal of Civil Structural Health Monitoring
    Volume
    6
    Issue
    4
    DOI
    https://doi.org/10.1007/s13349-016-0191-6
    Copyright Statement
    © 2016 Springer Berlin Heidelberg. This is an electronic version of an article published in Journal of Civil Structural Health Monitoring, September 2016, Volume 6, Issue 4, pp 703–714. Journal of Civil Structural Health Monitoring is available online at: http://link.springer.com/ with the open URL of your article.
    Subject
    Civil engineering
    Communications engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/101069
    Collection
    • Journal articles

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