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Australian State/Territory : QLD
Research Topic : Road Safety
Socio-Economic Objective : Expanding Knowledge in Engineering
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  • Funded Activity

    Linkage Projects - Grant ID: LP100200318

    Funder
    Australian Research Council
    Funding Amount
    $216,000.00
    Summary
    A new generation high crash energy absorbing barrier for improved road safety. The new, high energy absorbing road safety barrier developed in this project will provide better protection for all road users than current barriers by reducing the severity of car crashes. Current road barriers result in an average loss of 1600 lives in Australia annually, including a disproportionate number of young lives. The new barrier will be highly efficient in absorbing collisions from vehicles travelling at s .... A new generation high crash energy absorbing barrier for improved road safety. The new, high energy absorbing road safety barrier developed in this project will provide better protection for all road users than current barriers by reducing the severity of car crashes. Current road barriers result in an average loss of 1600 lives in Australia annually, including a disproportionate number of young lives. The new barrier will be highly efficient in absorbing collisions from vehicles travelling at speeds between 60 to over a 100 kilometres per hour. Installation of the new road safety barrier systems in high accident zones will save lives by reducing the severity of accidents involving road barriers. This will significantly benefit the community by reducing injury, medical, rehabilitation and property damage costs, and improve quality of life for all road users.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101764

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Development of Intelligent Structures that can Self-evaluate Deterioration. This project aims to transform traditional civil structures into smart structures that can accurately identify current and future structural deterioration conditions and automatically notify the infrastructure management authority for timely maintenance. Civil structures deteriorate over their long life spans. Currently, we have no effective method to identify when deterioration has reached the point where maintenance is .... Development of Intelligent Structures that can Self-evaluate Deterioration. This project aims to transform traditional civil structures into smart structures that can accurately identify current and future structural deterioration conditions and automatically notify the infrastructure management authority for timely maintenance. Civil structures deteriorate over their long life spans. Currently, we have no effective method to identify when deterioration has reached the point where maintenance is required. The project plans to develop innovative structural deterioration evaluation systems using output-only vibration data and versatile optimisation algorithms to enable long-term deterioration assessment and maintenance management even under demanding operating conditions. These could be used with both conventional data acquisition systems and modern monitoring systems with smart wireless sensors. Expected project outcomes will enhance structural safety and maintenance efficiency.
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    Funded Activity

    Discovery Projects - Grant ID: DP170104643

    Funder
    Australian Research Council
    Funding Amount
    $325,000.00
    Summary
    Properties of nanomaterials determine their disposal by liver cells. This project aims to understand how the liver handles and is affected by nanomaterials in the body. Nanomaterials are widely used in industrial, environmental, consumer and drug products, but how they affect human health is poorly understood. This project will characterise the spatiotemporal distribution of a set of nanomaterials with defined attributes in naïve and modified livers using chemistry, imaging and biological method .... Properties of nanomaterials determine their disposal by liver cells. This project aims to understand how the liver handles and is affected by nanomaterials in the body. Nanomaterials are widely used in industrial, environmental, consumer and drug products, but how they affect human health is poorly understood. This project will characterise the spatiotemporal distribution of a set of nanomaterials with defined attributes in naïve and modified livers using chemistry, imaging and biological methods. This work is expected to determine how nanomaterials’ attributes direct pathways for liver cell disposal and describe nanomaterial–liver interactions at the cellular level, information crucial in enabling safer nanomaterials for use in products such as drug formulations, sunscreens and cosmetics.
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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: DP180102658

    Funder
    Australian Research Council
    Funding Amount
    $428,161.00
    Summary
    Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficie .... Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficient safety management of high-value assets and infrastructure, and for enhancing Australia’s competitiveness in advanced manufacturing.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP200200916

    Funder
    Australian Research Council
    Funding Amount
    $261,931.00
    Summary
    Protein biosensors for detecting smoke exposure of grapes. Bush fires and controlled burns that take place in the vicinity of vineyards can lead to grape contamination with tasteless phenolic glucosides. Their hydrolysis during wine making leads to “smoke taint” – an unpleasant medicinal taste that can render wine undrinkable. We will apply a combination of organic synthesis, protein engineering and directed evolution to develop protein-based biosensors of phenolic glucosides. These biosensors w .... Protein biosensors for detecting smoke exposure of grapes. Bush fires and controlled burns that take place in the vicinity of vineyards can lead to grape contamination with tasteless phenolic glucosides. Their hydrolysis during wine making leads to “smoke taint” – an unpleasant medicinal taste that can render wine undrinkable. We will apply a combination of organic synthesis, protein engineering and directed evolution to develop protein-based biosensors of phenolic glucosides. These biosensors will be used to devise a simple portable colorimetric test that can be performed in the vineyard or the winery. The ability to rapidly determine the level of grape contamination with phenolic glucosides would give Australian wine growers and wine makers a powerful tool to mitigate the effects of bushfires.
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