Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882471
Funder
Australian Research Council
Funding Amount
$430,000.00
Summary
Three-Dimensional Optical Laser Velocimetry for the HRNBLWT (High Reynolds Number Boundary Layer Wind Tunnel). The experimental information that can be gained from this infrastructure would lead to significant advances in understanding turbulent flows, which would impact a broad range of engineering and geophysical fields. Some specific examples include the development of efficient turbulence control strategies for the reduction of skin-friction drag and improved combustion processes, resulting ....Three-Dimensional Optical Laser Velocimetry for the HRNBLWT (High Reynolds Number Boundary Layer Wind Tunnel). The experimental information that can be gained from this infrastructure would lead to significant advances in understanding turbulent flows, which would impact a broad range of engineering and geophysical fields. Some specific examples include the development of efficient turbulence control strategies for the reduction of skin-friction drag and improved combustion processes, resulting in not only better fuel efficiency for vehicles but also reduced CO2 and pollutant emissions. Significant advances could also be made in the area of understanding the dispersion of particles, including pollutants, in the atmosphere; wind turbine design and implementation strategies, and climate change modelling.Read moreRead less
Understanding and modifying vortex structures in wind turbine wakes. At a fundamental research level, Australia's active participation in this area of national priority and research strength will be advanced through our published research, which will increase our understanding of wind turbine wakes and their effects in wind farms. This understanding will then be used to produce improved methods of predicting wind turbine performance. Such methods are needed by wind energy designers to produce b ....Understanding and modifying vortex structures in wind turbine wakes. At a fundamental research level, Australia's active participation in this area of national priority and research strength will be advanced through our published research, which will increase our understanding of wind turbine wakes and their effects in wind farms. This understanding will then be used to produce improved methods of predicting wind turbine performance. Such methods are needed by wind energy designers to produce better wind farms. It will also be used to recommend how to improve the aerodynamic design of turbine components, such as the blades and hub. Numerical tools will be developed for industry use, and training will be provided to personnel, thereby increasing the capabilities of Australia's growing wind energy industry.Read moreRead less
Practical wall-turbulence drag reduction through adaptive control. Long term increases in the price of aviation fuel disproportionately impacts on Australian carriers, given our geographic isolation and the resulting greater percentage of long-haul flights. The resulting higher fares will also have a direct impact on international tourism to Australia. One way to reduce the impact of rising fuel cost, and to reduce CO2 and other emissions at the same time, is to decrease drag on aircraft. This ....Practical wall-turbulence drag reduction through adaptive control. Long term increases in the price of aviation fuel disproportionately impacts on Australian carriers, given our geographic isolation and the resulting greater percentage of long-haul flights. The resulting higher fares will also have a direct impact on international tourism to Australia. One way to reduce the impact of rising fuel cost, and to reduce CO2 and other emissions at the same time, is to decrease drag on aircraft. This project will develop understanding in wall turbulence and adaptive control, and use this to experimentally demonstrate active reductions in skin friction drag. The results are equally applicable to a range of other applications including sea transport, pipe flows and combustor designs.Read moreRead less
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
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Discovery Early Career Researcher Award - Grant ID: DE200101650
Funder
Australian Research Council
Funding Amount
$412,700.00
Summary
Intelligent active control of flow-induced vibration. This project aims to develop advanced and effective control methods using an innovative interdisciplinary approach for flow-induced vibration for a wide range of generic elements of engineering structures. This project expects to generate new scientific knowledge of fluid-structure interaction that is essential for the prediction and control of flow-induced vibration. The expected outcomes of this project are artificial intelligence based act ....Intelligent active control of flow-induced vibration. This project aims to develop advanced and effective control methods using an innovative interdisciplinary approach for flow-induced vibration for a wide range of generic elements of engineering structures. This project expects to generate new scientific knowledge of fluid-structure interaction that is essential for the prediction and control of flow-induced vibration. The expected outcomes of this project are artificial intelligence based active control methods for flow-induced vibration. Ultimately, this project should provide significant benefits, such as advances in scientific knowledge and improved technologies for the areas of energy, transport, buildings and infrastructure.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100203
Funder
Australian Research Council
Funding Amount
$326,000.00
Summary
Flow measurement for large-scale industrial aerodynamics. This project aims to research the unsteady aerodynamic wakes of cars, trucks, athletes, turbines and micro-air vehicles. Researchers will use the flow measurement system for large-scale industrial aerodynamics to resolve high speed and large scale industrial flows. The system’s primary objective will be the characterisation of complex, three-dimensional turbulent flows. It is anticipated that the research will lead to reduced aerodynamic ....Flow measurement for large-scale industrial aerodynamics. This project aims to research the unsteady aerodynamic wakes of cars, trucks, athletes, turbines and micro-air vehicles. Researchers will use the flow measurement system for large-scale industrial aerodynamics to resolve high speed and large scale industrial flows. The system’s primary objective will be the characterisation of complex, three-dimensional turbulent flows. It is anticipated that the research will lead to reduced aerodynamic drag in transport and improve wind power generation, ultimately reducing emissions and improving efficiency and national competitiveness in sport. The advanced system will strengthen Australia’s position as an advanced engineering design hub.Read moreRead less
Turbulent wall-bounded flow in adverse pressure gradient environments. This research will create additional research capacity in turbulence control and drag reduction. It will have direct benefits to the Australian economy via the transport industry by reducing the adverse impact of the carbon tax and rising fuel prices on long-haul air, water and road transport, on which Australia is disproportionately reliant.
High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. Thi ....High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. This project, exploiting proven high-fidelity simulation and machine-learning techniques to overcome limitations to produce the scientific knowledge required for practical noise mitigation. Benefits include quieter aerospace, marine and renewable energy technologies, creating more pleasant communities.Read moreRead less