Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100058
Funder
Australian Research Council
Funding Amount
$560,000.00
Summary
Three dimensionally compressed and monitored Hopkinson bar . 3D compressed and monitored Hopkinson bar: The 3D compressed and monitored Hopkinson bar allows determination of the dynamic mechanical properties and fracturing behaviour of materials under such confinement. Understanding material behaviour under dynamic loading is essential in dealing with many engineering problems as excavation, fragmentation, earthquake, blasting, and structure design. In geotechnical and structure projects, materi ....Three dimensionally compressed and monitored Hopkinson bar . 3D compressed and monitored Hopkinson bar: The 3D compressed and monitored Hopkinson bar allows determination of the dynamic mechanical properties and fracturing behaviour of materials under such confinement. Understanding material behaviour under dynamic loading is essential in dealing with many engineering problems as excavation, fragmentation, earthquake, blasting, and structure design. In geotechnical and structure projects, materials are often subjected to existing confining stresses. The full-field optical techniques, with an ultra-high speed and resolution camera in the system, aims to assist the quantitative measurement of deformation fields including small strain induced in brittle material's failure and identification of constitutive parameters.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100206
Funder
Australian Research Council
Funding Amount
$800,000.00
Summary
National Rock, Concrete and Advanced Composite Testing Capability. National rock, concrete and advanced composite testing capability:
The aim of the project is to develop a national hybrid biaxial/true triaxial load testing facility to serve the needs of geotechnical, structural, mining and materials researchers and engineers for sophisticated testing. It would address the need for leading edge testing and analysis of the deformation and strength of rock, concrete, and thin plates comprising me ....National Rock, Concrete and Advanced Composite Testing Capability. National rock, concrete and advanced composite testing capability:
The aim of the project is to develop a national hybrid biaxial/true triaxial load testing facility to serve the needs of geotechnical, structural, mining and materials researchers and engineers for sophisticated testing. It would address the need for leading edge testing and analysis of the deformation and strength of rock, concrete, and thin plates comprising metals, composites and polymers, under a wide range of loading conditions. The facility would accommodate cubic specimens up to 300 millimetres and be able to apply 10 megapascals of stress in up to three orthogonal directions. State-of-the-art monitoring equipment is designed to assess the degree of damage caused by testing, simulating damage induced by blasting, cutting, static loading and/or impact.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100011
Funder
Australian Research Council
Funding Amount
$700,000.00
Summary
The national geotechnical centrifuge facility. A new geotechnical centrifuge will enable the modelling of complex offshore and onshore structures. The new facility will support many geotechnical fields, associated with the economical and geographical development of Australia, and ensure that Australia will maintain its leadership within the international physical modelling community.
Reducing the deleterious impacts of clay particle interactions with valuable minerals in copper and gold processing. This project seeks to understand the rheological behaviour of clay minerals and the effect of the viscosity caused by clay minerals on gas dispersion, the transport of network structures and the locking of the structures in the froth in mineral flotation. Novel methods will be developed to improve flotation separation by reducing the viscosity.
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less
Multi-modal virtual microscopy for quantitative diagnostic pathology. This project will contribute to the next generation of virtual microscopy systems that provide innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of diagnostic pathology. These tools will especially contribute to the screening and diagnosis of cervical, lung and bladder cancer.
Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features t ....Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.Read moreRead less
Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and frac ....Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and fractures. This project integrates innovation in geology, chemistry, and mineral engineering, and will deliver mineral-scale reaction models that will increase efficiency of in-situ mining and leaching technologies. Knowledge generated can be applied to improve mineral exploration, mining, and processing, contributing to unlocking billions of dollars’ worth of resources tied up in low grade, mineralogically complex ores.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH130200033
Funder
Australian Research Council
Funding Amount
$2,526,617.00
Summary
ARC Research Hub for Australian Copper-Uranium. ARC Research Hub for Australian Copper-Uranium. This Research Hub aims to develop, test and commercialise new, safe and cost-effective methods to separate radionuclides from copper concentrates derived from copper/uranium ores. The Research Hub will focus on harnessing the expertise and facilities of Australia's key 'resource' companies and universities to enable Australia to position itself as a world leader in copper production and associated tec ....ARC Research Hub for Australian Copper-Uranium. ARC Research Hub for Australian Copper-Uranium. This Research Hub aims to develop, test and commercialise new, safe and cost-effective methods to separate radionuclides from copper concentrates derived from copper/uranium ores. The Research Hub will focus on harnessing the expertise and facilities of Australia's key 'resource' companies and universities to enable Australia to position itself as a world leader in copper production and associated technology.Read moreRead less
Engineering the sulphidising reactions for flotation of low quality ores. Engineering the sulphidising reactions for flotation of low quality ores. This project aims to engineer sulphidisation reactions to enhance the flotation of low quality ores for the minerals industry. Sulphidisation uses flotation to enrich base metal and precious minerals from low quality ores containing oxides and oxidised sulphides before expensive leaching or smelting. However, the current sulphidisation method is neit ....Engineering the sulphidising reactions for flotation of low quality ores. Engineering the sulphidising reactions for flotation of low quality ores. This project aims to engineer sulphidisation reactions to enhance the flotation of low quality ores for the minerals industry. Sulphidisation uses flotation to enrich base metal and precious minerals from low quality ores containing oxides and oxidised sulphides before expensive leaching or smelting. However, the current sulphidisation method is neither efficient nor widely used. This project will tailor sulphidisation reactions to generate desirable surface products that are not sensitive to flotation conditions. The intended outcome of this project is to provide a step change value in processing low quality resources while minimising the environmental effects of stockpiles.Read moreRead less