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Field of Research : Dynamical Systems
Field of Research : Interdisciplinary Engineering
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  • Funded Activity

    Discovery Projects - Grant ID: DP0988738

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    Effective and accurate model dynamics, deterministic and stochastic, across multiple space and time scales. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells, grains) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are often known, but the closures to translate microscal .... Effective and accurate model dynamics, deterministic and stochastic, across multiple space and time scales. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells, grains) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are often known, but the closures to translate microscale knowledge to a system level macroscopic description are rarely available in closed form. Our novel methodology will explore this stumbling block, and promises to radically change the modeling, exploration and understanding of multiscale complex system behaviour.
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    Funded Activity

    Discovery Projects - Grant ID: DP0560040

    Funder
    Australian Research Council
    Funding Amount
    $118,000.00
    Summary
    Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer simulation, of turbulent flood, river and estuarine flow. The models will be based systematically upon established turbulence models to resolve accurately the complex physical processes. The development of new and robust computer models for thin layers of coating fluid will aid many industrial processes. We also aim to provide correct ini .... Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer simulation, of turbulent flood, river and estuarine flow. The models will be based systematically upon established turbulence models to resolve accurately the complex physical processes. The development of new and robust computer models for thin layers of coating fluid will aid many industrial processes. We also aim to provide correct initial conditions and boundary conditions for simpler cases of the above flows. The approach leads to a greater understanding of the range of applicability of the models through better estimating the errors in the modelling process. The project develops a fundamental enabling methodology for engineering and the sciences.
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    Funded Activity

    Discovery Projects - Grant ID: DP0774311

    Funder
    Australian Research Council
    Funding Amount
    $392,141.00
    Summary
    Modelling of multiscale systems in engineering and science supports large-scale equation-free simulations and analysis. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are known, but the closures to translate microscale .... Modelling of multiscale systems in engineering and science supports large-scale equation-free simulations and analysis. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are known, but the closures to translate microscale knowledge to a system level macroscopic description are rarely available in closed form. Our novel, equation free, computational methodologies will circumvent this stumbling block, and promises to radically change the modeling, exploration and understanding of complex system behavior. We continue to develop this powerful computational methodology.
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    Showing 1-3 of 3 Funded Activites

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