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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Long-term corrosion of offshore steel structures in near-stagnant seawater. This project investigates the seawater corrosion of structural steels under near-stagnant and possibly polluted conditions. Better understanding of long-term corrosion of structural steels in near-stagnant seawaters is needed to predict the safety of steel offshore structures such as the pods supporting wind and wave energy generators. Also, the expensive maintenance of protective coatings and systems could be obviated o ....Long-term corrosion of offshore steel structures in near-stagnant seawater. This project investigates the seawater corrosion of structural steels under near-stagnant and possibly polluted conditions. Better understanding of long-term corrosion of structural steels in near-stagnant seawaters is needed to predict the safety of steel offshore structures such as the pods supporting wind and wave energy generators. Also, the expensive maintenance of protective coatings and systems could be obviated or reduced if corrosion remains acceptable. This project plans to investigate experimentally the temporal development and stochastic nature of general corrosion and pitting for steels under actual near-stagnant seawater conditions. It also plans to build mathematical-probabilistic models for corrosion prediction, calibrated to field data. These models will include allowance for microbiological corrosion effects, important under anthropological pollution.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101247
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Rational design of a new generation magnesium diboride superconducting rotor coil suitable for offshore low-cost wind turbine generators. New developments in wind power technologies provide opportunities in the next decade to deliver renewable energy. The present and future low cost magnesium diboride superconducting technology, coupled with renewable energy sources, has the potential to provide a long-term solution to the energy crisis and global warming threat.
A hybrid system framework for robust model predictive control. This project will produce new analysis and design tools to develop novel hybrid model predictive control systems with guaranteed stability, robustness and fault tolerance. We foresee major benefits for Australia by enhancing its scientific reputation and by promoting safety, efficiency and technological innovation in industries and services.