Design guideline for suction caissons supporting offshore wind turbines. This project aims to develop an industry guideline for suction caisson foundations, that are a new form of fixed platform anchor, for offshore wind turbines. The project expects to generate new knowledge of caisson response during installation and over millions of wind/wave load cycles, by integrating field experience with measurements from innovative experiments. The expected outcomes of this project include new methods to ....Design guideline for suction caissons supporting offshore wind turbines. This project aims to develop an industry guideline for suction caisson foundations, that are a new form of fixed platform anchor, for offshore wind turbines. The project expects to generate new knowledge of caisson response during installation and over millions of wind/wave load cycles, by integrating field experience with measurements from innovative experiments. The expected outcomes of this project include new methods to guide suction installation in difficult soil layering and predicting rotation and stiffness over a turbine’s operational life. The benefits of these scientific advances will contribute to the economic and reliable design of suction caisson foundations and a more rapid take-up of offshore wind energy.Read moreRead less
Anchoring the next generation of offshore floating infrastructure. This project aims to advance the fundamental scientific understanding of embedded anchor behaviour and to develop engineering solutions to secure the next generation of floating platforms, wind turbines and submerged tunnels. This is significant because limited understanding of anchors under long-term sustained and cyclic loading, and in how wave-chain-anchor systems behave, is hindering confident deployment in deep water and har ....Anchoring the next generation of offshore floating infrastructure. This project aims to advance the fundamental scientific understanding of embedded anchor behaviour and to develop engineering solutions to secure the next generation of floating platforms, wind turbines and submerged tunnels. This is significant because limited understanding of anchors under long-term sustained and cyclic loading, and in how wave-chain-anchor systems behave, is hindering confident deployment in deep water and harsh conditions. This project will address this challenge by combining precise observations from sophisticated physical and numerical experiments into an analysis framework that integrates system response. Outcomes will include numerical software, analytical tools and design charts for engineers to use in design.Read moreRead less
Smart site investigation for offshore energy installations in sand . This project aims to develop a next generation tool for seabed site investigations. It will use free-fall penetrometers, advanced physical modelling and novel probabilistic methods to investigate fundamental science of sand responses at low stress level and generate new interpretation methods. Outcomes of this project include a scientific framework to predict soil design parameters at unsampled seabed locations. A game changer ....Smart site investigation for offshore energy installations in sand . This project aims to develop a next generation tool for seabed site investigations. It will use free-fall penetrometers, advanced physical modelling and novel probabilistic methods to investigate fundamental science of sand responses at low stress level and generate new interpretation methods. Outcomes of this project include a scientific framework to predict soil design parameters at unsampled seabed locations. A game changer in offshore site investigations, the project will provide cheaper and faster geotechnical site investigation in sand at a time of global increase in offshore energy installations (worth 4 trillion over the next decade).Read moreRead less
Engineering screw piles to secure offshore wind energy turbines. This project aims to tackle the scientific challenges of using screw piles as foundations for deep water offshore wind turbines. Current foundations for offshore infrastructure developments have reached their limits, and conventional screw piles are designed for land use. This project will use innovative geotechnical methods to develop verified designs, guidelines and numerical tools for predicting the forces required to install sc ....Engineering screw piles to secure offshore wind energy turbines. This project aims to tackle the scientific challenges of using screw piles as foundations for deep water offshore wind turbines. Current foundations for offshore infrastructure developments have reached their limits, and conventional screw piles are designed for land use. This project will use innovative geotechnical methods to develop verified designs, guidelines and numerical tools for predicting the forces required to install screw piles into the seabed and their capacity to resist extreme wind and wave forces relevant to these structures. As foundations cost up to 35% of construction, screw piles will provide significant economic and environmental benefits in reducing costs and unlocking substantial renewable energy from our oceans.Read moreRead less
Impact of roughness on adverse pressure gradient turbulent boundary layers. This project aims to develop a novel technique for measuring time-resolved fluid velocity vector fields in high-speed flows to investigate rough wall turbulence in adverse pressure gradient environments in unprecedented detail. By using this innovative instrument to study these widespread but poorly understood turbulent flows in power generation and transport, the project seeks to generate new knowledge. Expected outcome ....Impact of roughness on adverse pressure gradient turbulent boundary layers. This project aims to develop a novel technique for measuring time-resolved fluid velocity vector fields in high-speed flows to investigate rough wall turbulence in adverse pressure gradient environments in unprecedented detail. By using this innovative instrument to study these widespread but poorly understood turbulent flows in power generation and transport, the project seeks to generate new knowledge. Expected outcomes include the development of a new instrument and fundamental knowledge leading to improved designs with higher efficiencies in power generation and transport, resulting in significant benefits such as increased energy security, reduced greenhouse gas emissions, and improved quality of life for individuals and society.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
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