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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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
Improved design and operational efficiency of small wind turbines in unsteady flows. The purpose of this research is to improve the design and performance of small wind turbines for energy generation. The expected outcomes are novel control strategies and mechanical designs that account for unsteady aerodynamics and its effects on structural loads and power quality. Recommendations to improve current design standards will be made.
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.
Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interva ....Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interval-based adversarial training step. The project is expected to help data-driven Australian organisations and industries to better quantify and manage forecasting uncertainties. This project will provide them with significant cost savings through better decision making and more robust planning.Read moreRead less
Harmonic suppression and delay compensation for inverters. The aim of this project is to use variable prediction horizon nonlinear model predictive control to achieve near perfect harmonic suppression for inverters in the face of realistic and unavoidable switching delays. Other aims include further performance improvement based on the application of Kalman observer, and extension of the ideas to a variety of switching topologies and validation of the results by simulation and experiments. The i ....Harmonic suppression and delay compensation for inverters. The aim of this project is to use variable prediction horizon nonlinear model predictive control to achieve near perfect harmonic suppression for inverters in the face of realistic and unavoidable switching delays. Other aims include further performance improvement based on the application of Kalman observer, and extension of the ideas to a variety of switching topologies and validation of the results by simulation and experiments. The intended main outcome of the project is the development of a methodology for non-interfering operation of inverters, particularly, in grid connected applications. This is expected to facilitate a further integration of renewable energy and highly efficient power utilisation. Both factors are crucial in the sustainable clean energy future.Read moreRead less
Securing Australian floating wind developments with helical anchors. This project will reduce the cost of offshore floating wind energy by uniting leading academic expertise and innovative industry partners to develop the knowledge and practical tools that will enable the deployment of helical anchors as a cheap and reliable anchoring system for floating wind. Helical anchors are seen as the most promising solution to anchor wind turbines, but their deployment has been limited by uncertainties a ....Securing Australian floating wind developments with helical anchors. This project will reduce the cost of offshore floating wind energy by uniting leading academic expertise and innovative industry partners to develop the knowledge and practical tools that will enable the deployment of helical anchors as a cheap and reliable anchoring system for floating wind. Helical anchors are seen as the most promising solution to anchor wind turbines, but their deployment has been limited by uncertainties associated with the torque and vertical force required for installation in complex seabeds, and their performance under environmental loading. The project will address these specific points through a combination of physical, numerical and analytical modelling, using data and design scenarios provided by industry.
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Discovery Early Career Researcher Award - Grant ID: DE200101478
Funder
Australian Research Council
Funding Amount
$422,998.00
Summary
Design Waves: a new basis for safer and more efficient offshore systems. This project will overcome a fundamental issue at the heart of ocean engineering design, impacting our oil, gas and renewables industries. Ocean waves are random, yet the best design tools for wave-structure interaction (model testing and computational fluid dynamics) require short, precisely-defined wave sequences. This project will establish a paradigm shift, bridging this gap via a new unified Design Wave methodology dev ....Design Waves: a new basis for safer and more efficient offshore systems. This project will overcome a fundamental issue at the heart of ocean engineering design, impacting our oil, gas and renewables industries. Ocean waves are random, yet the best design tools for wave-structure interaction (model testing and computational fluid dynamics) require short, precisely-defined wave sequences. This project will establish a paradigm shift, bridging this gap via a new unified Design Wave methodology developed for a diverse set of offshore systems, each with different criticalities. The new methodology will fuse advanced techniques in fluid mechanics, statistics and applied maths. The outcomes will create reductions in uncertainty and improvements in design and safety for facilities such as wind farms and gas platforms.Read moreRead less
A new role for vibration analysis in gear wear modelling and prediction. This project aims to improve prediction of the remaining useful life of gears. Gears are widely used in industry and transport. This project aims to integrate the two main methods of gear condition monitoring, vibration and oil analysis, and perform model-based wear prediction with the tribology and dynamic models continually updated on the basis of measured wear debris and vibration. New signal processing tools should allo ....A new role for vibration analysis in gear wear modelling and prediction. This project aims to improve prediction of the remaining useful life of gears. Gears are widely used in industry and transport. This project aims to integrate the two main methods of gear condition monitoring, vibration and oil analysis, and perform model-based wear prediction with the tribology and dynamic models continually updated on the basis of measured wear debris and vibration. New signal processing tools should allow estimation of relatively weak friction forces, previously neglected, as an important prognostic tool. This would allow detailed root cause analysis and prediction of remaining useful life. Improvements in gear prognosis would have safety and economic benefits by eliminating unforeseen catastrophic failures and optimising maintenance schedules.Read moreRead less
Harnessing the power of oceans: anchors for floating energy devices. This project aims to establish a geotechnical design framework for shared anchoring systems subjected to multidirectional cyclic loading for large integrated arrays of floating wind turbines and floating wave energy converters. This is expected to facilitate new, economic foundation solutions, generating radical cost savings to help unlock Australia's renewable ocean energy resources. The project aims to utilise a blend of stat ....Harnessing the power of oceans: anchors for floating energy devices. This project aims to establish a geotechnical design framework for shared anchoring systems subjected to multidirectional cyclic loading for large integrated arrays of floating wind turbines and floating wave energy converters. This is expected to facilitate new, economic foundation solutions, generating radical cost savings to help unlock Australia's renewable ocean energy resources. The project aims to utilise a blend of state-of-the-art centrifuge modelling techniques and numerical modelling, incorporating an energy-based method and yield envelopes. This innovative methodology aims to establish a validated framework for understanding and predicting foundation performance under the complex load histories arising in renewable ocean energy applications.Read moreRead less