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Research Topic : Predictive Modelling
Scheme : Discovery Projects
Australian State/Territory : WA
Australian State/Territory : NSW
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  • Researchers (11)
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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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    Funded Activity

    Discovery Projects - Grant ID: DP130100570

    Funder
    Australian Research Council
    Funding Amount
    $176,144.00
    Summary
    Modelling network innovation performance capability: a multidisciplinary approach. Innovation is created in complex network interactions. By combining agent-based and fuzzy logic modelling, this project will identify combinations of resources to generate new ideas/technologies. This will enable managers and policy makers to understand the mechanisms behind innovation and implement policies aimed at enhancing innovation processes.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210100420

    Funder
    Australian Research Council
    Funding Amount
    $431,000.00
    Summary
    Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland eco .... Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland ecosystems. Under a framework that connects detailed measurements and small-scale processes, with machine-learning, data-model assimilation and large-scale next-generation biogeochemical modelling, it’ll allow more accurate predictions of soil carbon change and better decision-making to guide sustainable rangelands management.
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