The pull-out capacity of a newly developed grouted soil nailing system. The project aims to develop a new reliable and efficient grouted soil nail system for improving the performance of loose soft soils. Important applications of the research include the mitigation of landslides, which pose a major threat to communities and infrastructure worldwide. Laboratory small scale experiments and numerical analyses will be carried out to optimize the grouting efficiency and enhance the pull-out resistan ....The pull-out capacity of a newly developed grouted soil nailing system. The project aims to develop a new reliable and efficient grouted soil nail system for improving the performance of loose soft soils. Important applications of the research include the mitigation of landslides, which pose a major threat to communities and infrastructure worldwide. Laboratory small scale experiments and numerical analyses will be carried out to optimize the grouting efficiency and enhance the pull-out resistance between the grout and surrounded soil in the soil nail system. This integrated project will provide a valuable tool for engineers who wish to stabilize loose fill slopes or soft grounds in Australia and worldwide.Read moreRead less
The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilitie ....The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilities. The expected outcomes will enable the integration of automated controls in ships, including remote-control capabilities. This will support Australia’s transition towards an autonomous shipping industry, delivering greater reliability, efficiency, productivity and safety.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100048
Funder
Australian Research Council
Funding Amount
$466,097.00
Summary
Ammonium-selective membranes to shift water industry into circular economy. The project aims to develop ammonium-selective membranes which are urgently needed in Australian key industries for sustainable ammonia recovery. The project expects to construct the membranes to achieve desirable pore size and surface functionality for fast and selective ammonia transport. The developed membranes should make ammonia recovery from wastewater more effective and sustainable, leading to the healthy waterway ....Ammonium-selective membranes to shift water industry into circular economy. The project aims to develop ammonium-selective membranes which are urgently needed in Australian key industries for sustainable ammonia recovery. The project expects to construct the membranes to achieve desirable pore size and surface functionality for fast and selective ammonia transport. The developed membranes should make ammonia recovery from wastewater more effective and sustainable, leading to the healthy waterway and reduced energy for both ammonia production and removal. Recovered ammonia expects to produce valuable products, supporting agriculture industry and hydrogen economy. The developed membranes should enable water industry's shift into circular economy, providing significant economic and environmental benefits to Australia.Read moreRead less
A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological respon ....A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological response from the nasal mucosa. The aim is to overcome a key fabrication challenge - to 3D print an anatomically accurate nasal construct with a porous wall on which to grow and mature functional nasal tissue that lines a nasal cavity wall. The benefit would be enabling faster development of more targeted drugs and vaccines.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less
Synthetic storage for improving flexibility and security of micro-grids. This project aims to remove the need for energy storage in micro-grids via adoption of synthetic storage. Micro-grids encounter high renewable energy penetrations early, given their small size. Typically, micro-grid variability is managed with technologies such as energy storage. Synthetic storage involves replacing fixed speed diesel assets with variable speed diesel technology. This project offers a cost-effective way to ....Synthetic storage for improving flexibility and security of micro-grids. This project aims to remove the need for energy storage in micro-grids via adoption of synthetic storage. Micro-grids encounter high renewable energy penetrations early, given their small size. Typically, micro-grid variability is managed with technologies such as energy storage. Synthetic storage involves replacing fixed speed diesel assets with variable speed diesel technology. This project offers a cost-effective way to improve renewable penetration and reduce diesel fuel consumption in micro-grids by removing the need for expensive energy storage. The expected project outcomes include reductions in cost and complexity for high renewable energy penetration micro-grids, reduced emissions and improved micro-grid reliability.Read moreRead less
Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation wate ....Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation water delivery models to calibrate for spatial variation in soil properties and/or correct errors in spatial variation of rainfall and evapotranspiration inputs. Ultimately the water balance predictions will be used for implementation of variable rate irrigation control at scales hitherto unattainable.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100021
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre in Energy Technologies for Future Grids. The proposed Future Grids Training Centre will advance Australia’s transition to a clean energy future. It will address the complex and challenging issues currently limiting the growth of renewable energy through innovations that facilitate widespread integration of these resources into electricity grids while maintaining grid stability. The Centre will deliver the next generation of industry leaders and specialists in future grid tech ....ARC Training Centre in Energy Technologies for Future Grids. The proposed Future Grids Training Centre will advance Australia’s transition to a clean energy future. It will address the complex and challenging issues currently limiting the growth of renewable energy through innovations that facilitate widespread integration of these resources into electricity grids while maintaining grid stability. The Centre will deliver the next generation of industry leaders and specialists in future grid technologies for renewable energy generation, transmission and distribution, supported by renewable hydrogen energy storage and market driven customer responsiveness enabled by new information and communications technologies, to provide a more sustainable, reliable, secure and affordable electricity system.Read moreRead less