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Scheme : Linkage Projects
Research Topic : Ion Transport Defect
Socio-Economic Objective : Navy
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  • Researchers (24)
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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: LP0219249

    Funder
    Australian Research Council
    Funding Amount
    $239,000.00
    Summary
    ACTIVE CONTROL OF SURFACE OCEAN SHIPS. This research is to design nonlinear robust adaptive control systems using active actuators (flaps, fins and rudders) for course keeping and path tracking of surface ocean ships, which are inherently nonlinear and with uncertainties. The outcome of the research will lead to the development of non-linear control strategies, which result in simple-to-implement and effective controllers. These controllers are robust to the environmental disturbances and uncert .... ACTIVE CONTROL OF SURFACE OCEAN SHIPS. This research is to design nonlinear robust adaptive control systems using active actuators (flaps, fins and rudders) for course keeping and path tracking of surface ocean ships, which are inherently nonlinear and with uncertainties. The outcome of the research will lead to the development of non-linear control strategies, which result in simple-to-implement and effective controllers. These controllers are robust to the environmental disturbances and uncertainties, adapt to unknown parameters of the ship and actuators. Only a few control gains are required to be tuned. The success of this project will significantly increase the international competiveness of Australian shipbuilding industry.
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    Funded Activity

    Linkage Projects - Grant ID: LP0453467

    Funder
    Australian Research Council
    Funding Amount
    $215,000.00
    Summary
    Automated helicopter hover and recovery system for operations at sea. The small size and simplicity of the integrated system outlined in this project will significantly improve the effectiveness of maritime surveillance for homeland security whilst enabling substantially lower operational costs. The proposal aims to develop control and sensing techniques, enabling small rotary wing unmanned air-vehicles (UAVs) weighing less than 100 kgs to operate from small-size vessels. This will be achieved .... Automated helicopter hover and recovery system for operations at sea. The small size and simplicity of the integrated system outlined in this project will significantly improve the effectiveness of maritime surveillance for homeland security whilst enabling substantially lower operational costs. The proposal aims to develop control and sensing techniques, enabling small rotary wing unmanned air-vehicles (UAVs) weighing less than 100 kgs to operate from small-size vessels. This will be achieved by resolving the current lack of integration between ship motion and the unmanned vehicle guidance systems. The proposed research will make substantial contributions in areas of ship motion prediction and sensing and hover control of tethered and non-tethered small helicopters.
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    Funded Activity

    Linkage Projects - Grant ID: LP0883540

    Funder
    Australian Research Council
    Funding Amount
    $290,000.00
    Summary
    Wave slam on high speed wave piercing catamaran ferries in large seas. Australia has taken a pioneering lead in the design of high speed multi-hull ferries and continues to extend their speed, range and payload performance. Design leadership and the technology which supports it are crucial to maintaining the existing large share of the international market for such vessels. Recently freight and military transport vessels have been exposed to much more severe wave conditions than passenger vessel .... Wave slam on high speed wave piercing catamaran ferries in large seas. Australia has taken a pioneering lead in the design of high speed multi-hull ferries and continues to extend their speed, range and payload performance. Design leadership and the technology which supports it are crucial to maintaining the existing large share of the international market for such vessels. Recently freight and military transport vessels have been exposed to much more severe wave conditions than passenger vessels and this has increased the need for improved prediction of structural loads due to waves. This project directly addresses that need by computation and model testing validation. The industry is a significant export earner and employer within Australia and so the project directly underpins those national benefits.
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    Funded Activity

    Linkage Projects - Grant ID: LP0560287

    Funder
    Australian Research Council
    Funding Amount
    $356,528.00
    Summary
    Asymmetric and nonlinear unsteady loads on high speed ferries. Large high speed catamarans are expanding their domain of application from coastal passenger routes to ocean freight and military service. This is shifting operability criteria from motions and passenger discomfort to structural load limitations in severe wave environments. This project investigates large wave structural load prediction. Large waves lead to strongly non-linear responses, invalidating many methods of analysis. Predict .... Asymmetric and nonlinear unsteady loads on high speed ferries. Large high speed catamarans are expanding their domain of application from coastal passenger routes to ocean freight and military service. This is shifting operability criteria from motions and passenger discomfort to structural load limitations in severe wave environments. This project investigates large wave structural load prediction. Large waves lead to strongly non-linear responses, invalidating many methods of analysis. Prediction of loads on the transverse structure is also not possible with many prediction methods. This project will develop and validate by experiment fully time domain computational methods for the prediction of asymmetric structural loads due to large waves
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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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