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
Industrial Transformation Training Centres - Grant ID: IC220100028
Funder
Australian Research Council
Funding Amount
$4,969,602.00
Summary
ARC Training Centre for Innovative Composites for the Future of Sustainable Mining Equipment. The Centre aims to train industry-focused researchers in advanced manufacturing of new-generation mining equipment and sustainable mining technology, through close collaborations among key universities and mining and manufacturing companies. The Centre will cultivate a team of world-class academic researchers and industry leaders to deliver an innovative program on research of innovative composites coup ....ARC Training Centre for Innovative Composites for the Future of Sustainable Mining Equipment. The Centre aims to train industry-focused researchers in advanced manufacturing of new-generation mining equipment and sustainable mining technology, through close collaborations among key universities and mining and manufacturing companies. The Centre will cultivate a team of world-class academic researchers and industry leaders to deliver an innovative program on research of innovative composites coupled with work-integrated learning, to not only produce a workforce that meets future skills demand but also develop sustainable and cost-effective mining equipment and high-efficiency mining technologies, benefiting the nation's manufacturing and mining sectors and significantly enhancing the competitiveness of the Australian mining industry.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.
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
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.
Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less
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