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Research Topic : Ion Transport Defect
Australian State/Territory : ACT
Socio-Economic Objective : Navy
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  • Funded Activity

    Linkage Projects - Grant ID: LP160100391

    Funder
    Australian Research Council
    Funding Amount
    $550,000.00
    Summary
    Deterioration of structural integrity of ageing ships and marine platforms. Deterioration of structural integrity of ageing ships and marine platforms. This project will research the deterioration of structural integrity and remaining life of marine assets such as ships and offshore energy facilities, by integrating structural response analysis methods with aged-structure assessment techniques. Maritime assets exposed to ocean conditions suffer from time dependent phenomena, which reduce structu .... Deterioration of structural integrity of ageing ships and marine platforms. Deterioration of structural integrity of ageing ships and marine platforms. This project will research the deterioration of structural integrity and remaining life of marine assets such as ships and offshore energy facilities, by integrating structural response analysis methods with aged-structure assessment techniques. Maritime assets exposed to ocean conditions suffer from time dependent phenomena, which reduce structural capability, affect safety and could have catastrophic environmental and economic consequences. Making assets available and affordably safe is a problem for operators. The key to prolonging asset life is in understanding the interrelationships over time between the asset’s structural condition and its use. Anticipated outcomes are superior safety, expected lifetime and economic benefits of maritime assets.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP190101283

    Funder
    Australian Research Council
    Funding Amount
    $672,447.00
    Summary
    Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use .... Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use numerical simulation. It will tackle the Fluid-Structure Interaction problem of ships in waves by integrating Finite Element structural response analysis with cutting-edge Smoothed Particle Hydrodynamics methods. The outcomes will provide new insight into remaining asset life and for exploring optimal maintenance strategies
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    Funded Activity

    Linkage Projects - Grant ID: LP0347393

    Funder
    Australian Research Council
    Funding Amount
    $69,099.00
    Summary
    Predicting Roll Angular Motion. The roll angular motion, or RAM, of a ship denotes its oscillation about its longitudinal axis, primarily caused by wave motion. The ability to predict RAM is of significant practical utility. For example, in defence-related work it plays a role in determining accuracy of weapons systems. We suggest a technique for predicting RAM. Our method borrows from both parametric and nonparametric statistics, in that a sinusoidal model is fitted to data but only over a .... Predicting Roll Angular Motion. The roll angular motion, or RAM, of a ship denotes its oscillation about its longitudinal axis, primarily caused by wave motion. The ability to predict RAM is of significant practical utility. For example, in defence-related work it plays a role in determining accuracy of weapons systems. We suggest a technique for predicting RAM. Our method borrows from both parametric and nonparametric statistics, in that a sinusoidal model is fitted to data but only over a short time interval. We show how to both assess and correct error. In particular, we propose methods for attaching probabilities to the accuracy of predictions.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT110100432

    Funder
    Australian Research Council
    Funding Amount
    $714,208.00
    Summary
    Environmentally sustainable shipping through improved understanding and management of wall-bounded turbulence. The thin region of turbulent flow that is pulled along by a ship's hull as it moves through the water accounts for up to 90 per cent of the overall resistance and a large amount of the fuel burnt. This project aims to control or tame recurrent flow patterns within these turbulent regions to reduce resistance, overall fuel cost and emissions from shipping.
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    Showing 1-4 of 4 Funded Activites

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