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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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
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
Reconstructing millennial-scale streamflow variability to assess near-future risks to water-generated renewable energy. Hydroelectric power is a key component of Australia's national renewable energy policy. The project will combine Hydro Tasmania's water supply and distribution network with historical reconstructions of streamflow variability to conduct stress tests of future water supplies and hydroelectric generating capacity for the Australian power grid.