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Current Selection
Status : Active
Australian State/Territory : NSW
Research Topic : MODELLING
Field of Research : Civil engineering
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240102559

    Funder
    Australian Research Council
    Funding Amount
    $519,537.00
    Summary
    Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structu .... Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structures with intrinsic uncertainties. The generative design-calibration system unifying experimental-numerical-virtual processes will largely reduce the need for repetitive large-scale experimental tests. This project benefits civil, aerospace, automotive, and defence with competitive advantage through technological innovation.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240100851

    Funder
    Australian Research Council
    Funding Amount
    $523,390.00
    Summary
    Unlocking self-healing bio-concrete through multiscale modelling. Self-healing bio-concrete, which uses bacteria as means to repair cracks, has the potential to revolutionise the construction industry and reduce the infrastructure repair and maintenance cost by billions of dollars annually. To unlock this, we need to understand the bacterial self-healing mechanisms for effective control of the performance. This project will develop a multiscale framework to describe the competing mechanisms betw .... Unlocking self-healing bio-concrete through multiscale modelling. Self-healing bio-concrete, which uses bacteria as means to repair cracks, has the potential to revolutionise the construction industry and reduce the infrastructure repair and maintenance cost by billions of dollars annually. To unlock this, we need to understand the bacterial self-healing mechanisms for effective control of the performance. This project will develop a multiscale framework to describe the competing mechanisms between crack widening and healing at the macro-scale, incorporated with key information of substances diffusion and bio-cementation at the meso- and micro-scales. This will enable to optimise the self-healing of bio-concrete via design–test–learn approach and enhance the durability of structures under sustained loads.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230100548

    Funder
    Australian Research Council
    Funding Amount
    $532,125.00
    Summary
    Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expe .... Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expected outcomes of this project include an innovative design, experimental data on corrosion prevention, development of reliable simulation techniques and design procedures for the proposed coating. This should provide huge benefits to Australian civil, offshore and marine engineering industry and national economy.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240101106

    Funder
    Australian Research Council
    Funding Amount
    $413,847.00
    Summary
    Experimental and numerical studies on internal erosion of granular soils. This research aims to improve our understanding of the mechanisms involved in internal erosion in soil that can trigger instabilities and damage in large scale infrastructures. Specifically, influences of morphology features, at both grain and structure scales, and applied stress on the initiation and evolution of internal erosion will be clarified, to predict where and when the catastrophic failure happens. The proposed p .... Experimental and numerical studies on internal erosion of granular soils. This research aims to improve our understanding of the mechanisms involved in internal erosion in soil that can trigger instabilities and damage in large scale infrastructures. Specifically, influences of morphology features, at both grain and structure scales, and applied stress on the initiation and evolution of internal erosion will be clarified, to predict where and when the catastrophic failure happens. The proposed proposal will not only surely benefit a broad range of science and engineering communities, but also directly address the second most urgent problems, 'soil and water', in Australia, by rephrasing the Australia standards or guidelines for construction, surveillance, and decommissioning of civil engineering structures.
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    Showing 1-4 of 4 Funded Activites

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