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Field of Research : Interdisciplinary Engineering
Research Topic : passenger
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP220103873

    Funder
    Australian Research Council
    Funding Amount
    $427,060.00
    Summary
    Elliptical nozzles: the shape of silence? This project aims to leverage the aeroacoustic properties of elliptical nozzle geometries to significantly reduce installed jet noise. This project expects to generate new knowledge regarding methods to reduce installed jet noise, a serious problem for the aerospace industry. Regulatory constraints inhibit the implementation of efficiency-increasing configurations but still fail to eliminate public health impacts. Expected outcomes include a set of tools .... Elliptical nozzles: the shape of silence? This project aims to leverage the aeroacoustic properties of elliptical nozzle geometries to significantly reduce installed jet noise. This project expects to generate new knowledge regarding methods to reduce installed jet noise, a serious problem for the aerospace industry. Regulatory constraints inhibit the implementation of efficiency-increasing configurations but still fail to eliminate public health impacts. Expected outcomes include a set of tools for optimizing nozzle designs capable of significantly reducing installed jet noise. This will provide significant benefits, as jet noise is a serious health issue for the Australian public. This project represents an opportunity to reduce its impact while improving fuel efficiency.
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    Funded Activity

    Discovery Projects - Grant ID: DP140104402

    Funder
    Australian Research Council
    Funding Amount
    $313,000.00
    Summary
    Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent .... Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent flows. Several well-characterised case study flows, of importance to human society, will be examined. Turbulent flow models will also be constructed by maximum-entropy and Bayesian methods directly from experimental data. The project will substantially enhance our ability to predict the behaviour of turbulent flows.
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