Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material fail ....Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material failure associated with the high impact forces. Expected outcomes of the project include a conceptual framework and scientific-based design tool to predict the geotechnical performance of offshore installations. The research will provide the necessary scientific advances to install, moor and service offshore wind and wave energy devices more economically and efficiently.Read moreRead less
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
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
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
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
Lifting objects off the seabed. This project aims to investigate the process of lifting objects off the seabed. Understanding this breakout process is the scientific basis for a variety of offshore applications such as oil and gas decommissioning, marine salvage and securing foundations under extreme storms. This project expects to advance the understanding of soil-fluid-structure interactions of this problem using innovative high-speed photography observations and advanced numerical coupled ana ....Lifting objects off the seabed. This project aims to investigate the process of lifting objects off the seabed. Understanding this breakout process is the scientific basis for a variety of offshore applications such as oil and gas decommissioning, marine salvage and securing foundations under extreme storms. This project expects to advance the understanding of soil-fluid-structure interactions of this problem using innovative high-speed photography observations and advanced numerical coupled analyses. Outcomes will include a numerical tool, verified against a high quality experimental database, to predict the breakout process and uplift required for pressing offshore challenges. The ability for Australia’s engineers to predict lift procedures more accurately will contribute to safer operations in Australian waters and to the more economic harnessing of ocean resources.Read moreRead less
High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. Thi ....High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. This project, exploiting proven high-fidelity simulation and machine-learning techniques to overcome limitations to produce the scientific knowledge required for practical noise mitigation. Benefits include quieter aerospace, marine and renewable energy technologies, creating more pleasant communities.Read moreRead less
The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable ....The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable power. As well as receiving environmental advantages, Australia will benefit from this project through: (1) advancements in the management of the electricity distribution system by the development of a smart grid; (2) the development of principles for the placement of charging stations suitable for unique local conditions, such as Australia's long distances.Read moreRead less
Developing novel big-data based models for designing greener turbines. Developing novel big-data based models for designing greener turbines. This project aims to improve the fuel efficiency of gas turbines, the backbone of power generation and aircraft propulsion, for efficient and affordable power generation and air travel. Australia is large, remote and has some of the world’s highest carbon dioxide emissions per capita. Improving fuel efficiency will reduce cost and emissions, but current de ....Developing novel big-data based models for designing greener turbines. Developing novel big-data based models for designing greener turbines. This project aims to improve the fuel efficiency of gas turbines, the backbone of power generation and aircraft propulsion, for efficient and affordable power generation and air travel. Australia is large, remote and has some of the world’s highest carbon dioxide emissions per capita. Improving fuel efficiency will reduce cost and emissions, but current design tools lack the accuracy to advance technology. This project will investigate fluid flow in gas turbines and use big-data analytics to develop more accurate design tools. Gas turbines with reduced fuel usage and carbon dioxide emissions are expected to reduce the cost and environmental impact of power generation and air travel in Australia.Read moreRead less