Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge o ....Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge of the structural behaviour of hybrid modular buildings, and expects to deliver design methods and robust simplified models for building design purposes. This project will advance construction techniques and practices for resilient hybrid modular buildings.Read moreRead less
Inerter-enhanced metastructure for structural vibration control. Meta-based technique has been proposed for vibration control recently due to its special wave filtering effect. However, the current techniques are difficult to attenuate low-frequency waves, thus not suitable for civil structural vibration control. This project proposes incorporating an inerter-based element into the unit cell of a metastructure. Due to the unique mass amplification characteristic of inerter element, manipulating ....Inerter-enhanced metastructure for structural vibration control. Meta-based technique has been proposed for vibration control recently due to its special wave filtering effect. However, the current techniques are difficult to attenuate low-frequency waves, thus not suitable for civil structural vibration control. This project proposes incorporating an inerter-based element into the unit cell of a metastructure. Due to the unique mass amplification characteristic of inerter element, manipulating low-frequency waves becomes possible. Practical designs are developed and applied to control the adverse vibrations of engineering structures induced by three typical vibration sources. Comprehensive analytical, experimental and numerical studies are carried out to examine the effectiveness of the proposed method.Read moreRead less
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.Read moreRead less
A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th ....A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.Read moreRead less
Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual interve ....Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual intervention and optimising both short- and long-term maintenance based on real-time sensor data. These new methods will be powerful tools for tackling the complexity of large-scale, time-critical maintenance projects, driving productivity in the resources industry and fostering collaboration between mathematicians and engineers.Read moreRead less
Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outc ....Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outcomes include enhanced capacity to estimate hydrodynamic response and advanced design tools for floating wind, floating solar and offshore aquaculture. This will provide significant benefit by enabling cost-efficient and viable designs, thereby accelerating the development of offshore renewable energy.Read moreRead less
Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and incre ....Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and increase in power output. Expected outcomes of this project include improved understanding of the governing physics to enable development of design tools for next-generation engines. This should provide significant benefits, such as reduced reliance on fossil fuels and a critical reduction in greenhouse gas emissions.Read moreRead less
Biological applications of terahertz technology. This project aims to develop new knowledge for exploring the interaction of terahertz (THz) radiation with different materials. THz technology is in use in diverse applications from security screening to biomedical imaging. A hurdle to the widespread adoption of the technology is the poor understanding of the basic interaction between THz radiation and molecules, proteins, cells and tissues. This project will enable development of advanced THz tec ....Biological applications of terahertz technology. This project aims to develop new knowledge for exploring the interaction of terahertz (THz) radiation with different materials. THz technology is in use in diverse applications from security screening to biomedical imaging. A hurdle to the widespread adoption of the technology is the poor understanding of the basic interaction between THz radiation and molecules, proteins, cells and tissues. This project will enable development of advanced THz technology and applications and will lead to accelerated implementation for use in chemistry, biology and, ultimately, medicalapplications such as cancer detection.Read moreRead less
Game changing anchoring solution for Australia’s deep water gas development. This Fellowship aims to establish a novel dynamically installed anchor shape for economic and safer mooring of floating gas drilling platforms in Australia’s deep water calcareous seabed. The novel anchor pairing with the advanced floating platforms are expected to allow for unlocking Australia’s 50% gas reserves that are considered to be stranded. This Fellowship expects to extend a sophisticated numerical analysis tec ....Game changing anchoring solution for Australia’s deep water gas development. This Fellowship aims to establish a novel dynamically installed anchor shape for economic and safer mooring of floating gas drilling platforms in Australia’s deep water calcareous seabed. The novel anchor pairing with the advanced floating platforms are expected to allow for unlocking Australia’s 50% gas reserves that are considered to be stranded. This Fellowship expects to extend a sophisticated numerical analysis technique and a soil constitutive model, and use field testing in the Swan River and centrifuge modelling for extensive investigation on the novel anchor shape, leading to calculation methods for assessing the anchor embedment during dynamic installation and capacity under operational monotonic and cyclic loadings.Read moreRead less
Advanced macromolecular engineering: novel approaches to self-directed assembly and vesicle formation. The aim of this project is to develop new approaches in nanotechnology for the preparation of well-defined polymeric particles. The research will result in the development of new methodology which has the potential to impact areas of commercial interest including those in the health-care sector.