Discovery Early Career Researcher Award - Grant ID: DE150101751
Funder
Australian Research Council
Funding Amount
$351,000.00
Summary
Nanofiller reinforced concrete for high performance thermal energy storage. Harnessing the abundance of solar energy has been one of the most attractive energy alternatives. This project aims to investigate the mechanical properties, thermal energy storage capacity, thermal conductivity, long-term durability and nano/microstructural changes in nanofiller reinforced concrete composites using modern characterisation and modelling techniques. The newly developed concrete will be accessed as a therm ....Nanofiller reinforced concrete for high performance thermal energy storage. Harnessing the abundance of solar energy has been one of the most attractive energy alternatives. This project aims to investigate the mechanical properties, thermal energy storage capacity, thermal conductivity, long-term durability and nano/microstructural changes in nanofiller reinforced concrete composites using modern characterisation and modelling techniques. The newly developed concrete will be accessed as a thermal energy storage medium for concentrated solar energy plants. The project aims to create the next generation of construction materials to reduce the cost of the storage medium for solar energy harvesting.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100571
Funder
Australian Research Council
Funding Amount
$413,874.00
Summary
Safeguarding dams and levees from internal erosion failure. This project aims to improve the reliability and robustness of quantifying the risk of internal erosion failure in dams and levees. Existing industry approaches are reliant on judgement and experience. Using an innovative approach that integrates a variety of data sources, this project expects to objectively quantify risk based on the underlying internal erosion mechanisms. Expected outcomes include the translation of new knowledge to u ....Safeguarding dams and levees from internal erosion failure. This project aims to improve the reliability and robustness of quantifying the risk of internal erosion failure in dams and levees. Existing industry approaches are reliant on judgement and experience. Using an innovative approach that integrates a variety of data sources, this project expects to objectively quantify risk based on the underlying internal erosion mechanisms. Expected outcomes include the translation of new knowledge to update current empirical understanding, the development of models to directly assess risk, and additional data to obtain the probability of failure. This should provide significant benefits by reducing subjectivity in assessing risk and improving industry confidence in identifying susceptible assets.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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How does orography enhance precipitation in Australian wintertime storms? This project aims to employ targeted field observations, numerical simulations and new satellite capabilities to identify the dynamical and microphysical mechanisms that enhance and redistribute precipitation across the alpine regions of south eastern Australia and Tasmania. These observations will be used to evaluate operational numerical weather simulations specifically focusing on quantitative precipitation forecasts an ....How does orography enhance precipitation in Australian wintertime storms? This project aims to employ targeted field observations, numerical simulations and new satellite capabilities to identify the dynamical and microphysical mechanisms that enhance and redistribute precipitation across the alpine regions of south eastern Australia and Tasmania. These observations will be used to evaluate operational numerical weather simulations specifically focusing on quantitative precipitation forecasts and estimates. The observations will also be used to extend known biases in the national gridded precipitation analysis that are a result of the complex mountain terrain. This identification of the physical processes that enhance and redistribute precipitation over the alpine regions across south east Australia and Tasmania will lead to better precipitation estimates and forecasts and better water management.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100223
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Advanced X-ray diffraction facility for high energy and extreme conditions. X-ray powder diffraction is a powerful technique for determining the structure of matter at the atomic scale. This project will establish a new Australian capability for X-ray powder diffraction under extreme conditions that emulate real harsh service environments for advanced functional materials.