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Australian State/Territory : QLD
Australian State/Territory : ACT
Research Topic : MODELLING
Field of Research : Mechanical Engineering
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  • Funded Activity

    Discovery Projects - Grant ID: DP120103430

    Funder
    Australian Research Council
    Funding Amount
    $285,000.00
    Summary
    Towards autonomous structural safety prognostics: integrating in-situ imaging and predictive modelling. This project aims to advance a scientific basis for autonomous safety prognostics by developing predictive models and in-situ damage imaging principles. Development of this new health prognostic approach will overcome the significant challenge of safety assurance of composite structures in the presence of in-service damage, which is largely hidden.
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    Funded Activity

    Discovery Projects - Grant ID: DP150101894

    Funder
    Australian Research Council
    Funding Amount
    $443,900.00
    Summary
    Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline- .... Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline-free structural health monitoring technique capable of detecting and quantifying barely-visible impact damage in advanced composite materials, non-destructive evaluation of structures made by additive manufacturing, and detection of hard-to-inspect locations in unitised structures.
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