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Australian State/Territory : WA
Field of Research : Civil Engineering
Research Topic : Data Structures
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  • Funded Activity

    Linkage Projects - Grant ID: LP110201087

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Vulnerability mapping of hazards and economic loss assessment of offshore oil and gas platforms subject to accidental explosion and fires. In Australia, up to 100 offshore oil and gas wells per year are drilled, but fire and explosion are a risk. This project develops vulnerability maps of offshore platforms subjected to accidental explosions, so that economic loss, environmental and social impact can be effectively assessed based on these factors and mitigation measures can be introduced.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210100271

    Funder
    Australian Research Council
    Funding Amount
    $290,831.00
    Summary
    Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee .... Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs.
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