Micromechanical modelling of fault gouge dynamics: towards an improved fault constitutive relation. The human and economic costs of geological and other particulate media related problems in Australia are staggering. These include geological hazards (e.g. landslides and earthquakes; the Newcastle earthquake cost around $4 billion and 13 lives), to particulate processes prevalent in Australia's major export industries (e.g. coal export valued at $9.3 billion, iron ore at $3.8 billion, and wheat ....Micromechanical modelling of fault gouge dynamics: towards an improved fault constitutive relation. The human and economic costs of geological and other particulate media related problems in Australia are staggering. These include geological hazards (e.g. landslides and earthquakes; the Newcastle earthquake cost around $4 billion and 13 lives), to particulate processes prevalent in Australia's major export industries (e.g. coal export valued at $9.3 billion, iron ore at $3.8 billion, and wheat at $3.4 billion), to Australia's 810,000 km granular paved road network that costs around $5.5 million per day to maintain. The program will deliver new knowledge and advanced analytical and predictive modelling tools capable of fuelling breakthroughs in earthquake forecasting research and industrial innovations.
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Neural mechanisms for human form perception. This project aims to determine if there is a single cortical mechanism underlying the human ability to discriminate and recognise objects. It has been speculated that different classes of objects, or forms require different processes. Demonstrating a single process would be a significant advance towards understanding the neural mechanisms giving rise to our ability to segment visual fields into meaningful objects and background. This research provides ....Neural mechanisms for human form perception. This project aims to determine if there is a single cortical mechanism underlying the human ability to discriminate and recognise objects. It has been speculated that different classes of objects, or forms require different processes. Demonstrating a single process would be a significant advance towards understanding the neural mechanisms giving rise to our ability to segment visual fields into meaningful objects and background. This research provides a means for testing models of the neural interactions thought to be generating human form perception and will help us discover how the visual cortex converts raw sensory input into object and form perception.Read moreRead less
Dislocation motion and anelastic recovery in layered ceramic titanate. This project aims to research deformation and facture in brittle ceramic nanowire materials and anelastic behaviour in tensile deformation. Layered sodium titanate is used in energy storage and water treatment, but in-situ tensile tests have observed unconventional deformation behaviour, with significant dislocation motion and anelastic recovery. This project will study the deformation mechanism in layered sodium titanate nan ....Dislocation motion and anelastic recovery in layered ceramic titanate. This project aims to research deformation and facture in brittle ceramic nanowire materials and anelastic behaviour in tensile deformation. Layered sodium titanate is used in energy storage and water treatment, but in-situ tensile tests have observed unconventional deformation behaviour, with significant dislocation motion and anelastic recovery. This project will study the deformation mechanism in layered sodium titanate nanowires through molecular dynamics simulations, empirical interatomic potential, and in situ TEM experiments. Expected outcomes include knowledge of the deformation mechanism of this layered titanate which can be broadened to technologically important layered ceramic materials.Read moreRead less
Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expe ....Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expected outcomes of this project include an innovative design, experimental data on corrosion prevention, development of reliable simulation techniques and design procedures for the proposed coating. This should provide huge benefits to Australian civil, offshore and marine engineering industry and national economy.Read moreRead less
Meshless, numerical modelling for polymer processing. The new modelling technology will significantly improve Australian polymer producers' competitiveness and their ability to respond to international market forces. The technology will lead to new opportunities for Australian companies that develop simulation software. Our consumers will benefit from improvements in the design of polymer products. Our researchers in rheology and computational mechanics will gain further opportunities to extend ....Meshless, numerical modelling for polymer processing. The new modelling technology will significantly improve Australian polymer producers' competitiveness and their ability to respond to international market forces. The technology will lead to new opportunities for Australian companies that develop simulation software. Our consumers will benefit from improvements in the design of polymer products. Our researchers in rheology and computational mechanics will gain further opportunities to extend the advances this project will make.Read moreRead less
Molecular mechanisms of novel bacterial copper defense proteins. This project aims to reveal molecular and cellular mechanisms used by bacteria to neutralise the destructive effects of copper. Copper is an essential trace element in living systems. It is toxic to bacteria and so plays a vital role in nutritional immunity. To counteract copper toxicity, bacteria have evolved defense mechanisms. The project will investigate a novel but poorly understood class of bacterial proteins, the suppressor ....Molecular mechanisms of novel bacterial copper defense proteins. This project aims to reveal molecular and cellular mechanisms used by bacteria to neutralise the destructive effects of copper. Copper is an essential trace element in living systems. It is toxic to bacteria and so plays a vital role in nutritional immunity. To counteract copper toxicity, bacteria have evolved defense mechanisms. The project will investigate a novel but poorly understood class of bacterial proteins, the suppressor of copper sensitivity proteins, that contribute to this key virulence trait. The expected outcomes will be fundamental new knowledge of metallo-protein diversity, bacterial virulence mechanisms, and membrane protein function with potential impact on health, environment, and biotechnology.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.
Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project ....Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project aims to provide theoretically sound frameworks for solving large Markov decision processes, and exploit them to solve important combinatorial optimisation problems. This timely project can promote Australia's position in the development of such novel frameworks for many scientific and industrial applications.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
Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reserv ....Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reservoirs. The outcomes will not only enable us to effectively assess the viability of gas extraction from Australian shale reservoirs with accurate long-term production forecasting, but help to develop strategies to effectively extract this relatively low carbon-emitting fossil fuel in the transition to a renewable economy.Read moreRead less