Maximising value in underground mine planning. Mining is crucial to Australia’s economy, contributing 8 per cent of GDP and 55 per cent of the value of goods exported. Working with mining companies Rand and Tribune, this project tackles issues faced in underground mine planning. While integrated optimisation of design and production in open cut mining is well established, no equivalent capability is available for underground mines. This project aims to develop innovative techniques to optimise t ....Maximising value in underground mine planning. Mining is crucial to Australia’s economy, contributing 8 per cent of GDP and 55 per cent of the value of goods exported. Working with mining companies Rand and Tribune, this project tackles issues faced in underground mine planning. While integrated optimisation of design and production in open cut mining is well established, no equivalent capability is available for underground mines. This project aims to develop innovative techniques to optimise the design of the access network and the production scheduling in an underground mine in order to maximise value over the life of the operation. The outcome intends to be a new strategic software tools for the sector, underpinning increased efficiency and sustainability of Australian mines as well as international competitiveness.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100457
Funder
Australian Research Council
Funding Amount
$360,945.00
Summary
Dynamic fracturing in shale rock through coupled continuum-discontinuum modelling. The research includes modelling the grain level fracturing of shale rock under dynamic loads. The outputs will have a direct impact on the development and optimisation of rock drilling and rock cutting technologies and will improve the operational efficiencies in which rock excavations are conducted.
Maximisation of value in underground mine access design. This project represents a major advance in the problem of optimising the mine value associated with the access infrastructure of underground mines and providing powerful planning tools for management. The usefulness to the mining industry of the methods and algorithms the project is pioneering lies in their accuracy, flexibility and generality. Not only can they be used for benchmarking value in the design of specific mines, but they can ....Maximisation of value in underground mine access design. This project represents a major advance in the problem of optimising the mine value associated with the access infrastructure of underground mines and providing powerful planning tools for management. The usefulness to the mining industry of the methods and algorithms the project is pioneering lies in their accuracy, flexibility and generality. Not only can they be used for benchmarking value in the design of specific mines, but they can also determine the profitability or viability of mines under the use of new technologies. This is an important project for ensuring that Australia's mining industry remains efficient and internationally competitive. Given Australia’s economic dependence on mineral resources, it will also benefit the country as a whole.Read moreRead less
The effect of climate change on the biogeochemistry of estuarine soft soils. The Australian coastline is dotted with soft clays to a significant depth. These soft clay deposits display excessive settlement characteristics, affecting transport infrastructure. Understanding the couplings between the biogeochemical composition of the pore liquid and the mechanical behaviour of soft soils is essential, but current engineering practice is limited. Sea level rise in Australia will potentially place as ....The effect of climate change on the biogeochemistry of estuarine soft soils. The Australian coastline is dotted with soft clays to a significant depth. These soft clay deposits display excessive settlement characteristics, affecting transport infrastructure. Understanding the couplings between the biogeochemical composition of the pore liquid and the mechanical behaviour of soft soils is essential, but current engineering practice is limited. Sea level rise in Australia will potentially place as much as $67 billion in transport infrastructure at risk; consequently, this project aims to examine the impact of climate change on the biogeochemical processes of estuarine sediments in relation to: geotechnical properties; soft soil stability under sea level change; and soil carbon sequestration.Read moreRead less
Preventing extreme granular wear of geotechnical machinery. This project will investigate the mechanisms controlling the mechanical wear that is incurred while handling geomaterials such as sand, ore, coal and fragmented rock. The overarching aim is to help forecast and mitigate extreme wear conditions by analysing the microscopic forces that granular materials produce when in contact with moving metallic surfaces. The intended outcomes include a thorough understanding of these interfacial inter ....Preventing extreme granular wear of geotechnical machinery. This project will investigate the mechanisms controlling the mechanical wear that is incurred while handling geomaterials such as sand, ore, coal and fragmented rock. The overarching aim is to help forecast and mitigate extreme wear conditions by analysing the microscopic forces that granular materials produce when in contact with moving metallic surfaces. The intended outcomes include a thorough understanding of these interfacial interactions and an experimentally validated theory predicting wear rates for a range of materials and handling processes. The expected benefit of this project is to enhance the productivity and reliability of the mining and construction sectors by reducing wear-related machinery failures.Read moreRead less
Benign recovery of precious metals from deep pristine environments. This project aims to extract precious metals from natural deposits conventional mining methods cannot reach. Glycine-peroxide systems can dissolve precious metals without pollution. Understanding these systems’ behaviour in natural orebodies could lead to in-situ leaching methods that complement conventional mining, especially in low grade deposits. This project intends to use a modern scientific workflow based on exploratory, d ....Benign recovery of precious metals from deep pristine environments. This project aims to extract precious metals from natural deposits conventional mining methods cannot reach. Glycine-peroxide systems can dissolve precious metals without pollution. Understanding these systems’ behaviour in natural orebodies could lead to in-situ leaching methods that complement conventional mining, especially in low grade deposits. This project intends to use a modern scientific workflow based on exploratory, descriptive and explanatory phases to model the coupled multi-physics of precious metals transport, introduce a high performance computing strategy for in-situ leaching, develop an experimental protocol that explains the recovery mechanisms, and propose optimal leaching patterns that maximise productivity.Read moreRead less
Geomechanics of multiple seam mining interactions. This project will address a highly significant and timely problem that has arisen in the coal mining industry. Through the application of scientific principles and advanced methods of engineering analysis, this research will develop practical guidelines that in turn will provide the means for rational planning of multi-seam mining operations.
Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less
Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings a ....Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings and outcomes of this research will advance the knowledge and practice of hard-rock mining machines in Australia. The success of this project will significantly increase mining productivity and reduce human injuryRead moreRead less
Subband centroids and deep neural networks for robust speech recognition. This project aims to improve the robustness and accuracy of automatic speech and speaker recognition systems. Though these systems work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. To overcome this problem, this project proposes a missing-feature approach for robust speech and speaker recognition. This approach is expected to make th ....Subband centroids and deep neural networks for robust speech recognition. This project aims to improve the robustness and accuracy of automatic speech and speaker recognition systems. Though these systems work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. To overcome this problem, this project proposes a missing-feature approach for robust speech and speaker recognition. This approach is expected to make the speech and speaker recognition systems less sensitive to additive background noise and make them more useful in telecommunications and business.Read moreRead less