A Machine Learning driven flow modelling of fragmented rocks in cave mining. The project aims to develop an integrated method that uses micro scale and macro scale information to predict block scale behaviour so that a better cave mining design can be established. The role of various mineral composition on the energy storage and fracture properties of rocks will be investigated to examine rock fragmentation for block cave mining. Later Machine Learning based models will be developed to establis ....A Machine Learning driven flow modelling of fragmented rocks in cave mining. The project aims to develop an integrated method that uses micro scale and macro scale information to predict block scale behaviour so that a better cave mining design can be established. The role of various mineral composition on the energy storage and fracture properties of rocks will be investigated to examine rock fragmentation for block cave mining. Later Machine Learning based models will be developed to establish various predictive models for Block Scale rock mass behaviour and caveability of ore deposit. Finally, we will develop a new constitutive model based on a dual damage concept that will capture the rock fragmentation and simulate the cave propagation in a large scale mine layout using Smoothed-particle hydrodynamics.Read moreRead less
Rapid optimisation in underground mining network design. This project represents a major advance in the problem of optimising the infrastructure of underground mines and providing powerful planning tools for management. The software tools we are developing will prove important to the mining industry because of their accuracy, flexibility and generality. Not only can they be used for benchmarking in the design of specific mines, but they also provide a reliable method for testing the cost-benefi ....Rapid optimisation in underground mining network design. This project represents a major advance in the problem of optimising the infrastructure of underground mines and providing powerful planning tools for management. The software tools we are developing will prove important to the mining industry because of their accuracy, flexibility and generality. Not only can they be used for benchmarking in the design of specific mines, but they also provide a reliable method for testing the cost-benefit of emerging technologies. This is an important project for ensuring that Australia's mining industry remains efficient and internationally competitive. Given our economic dependence on mineral resources, it will also benefit Australia as a whole.Read moreRead less
Decision tools for underground mine development. The aim of this project is to develop innovative new strategic tools to assist senior mine management in planning underground mine operations. It will be based on modelling underground mine layouts using the theory of abstract mathematical networks. For many years, there have been well-developed methods of modelling and optimising the operation of open-cut mines. The design of the infrastructure of underground mines has a similar potential for opt ....Decision tools for underground mine development. The aim of this project is to develop innovative new strategic tools to assist senior mine management in planning underground mine operations. It will be based on modelling underground mine layouts using the theory of abstract mathematical networks. For many years, there have been well-developed methods of modelling and optimising the operation of open-cut mines. The design of the infrastructure of underground mines has a similar potential for optimisation and strategic modelling. This design optimisation will lead to huge savings in the costs of underground mines. Similar methods will be used to plan drilling programs, which are major cost items.Read moreRead less
Understanding cycles in mineral commodity price, a market model with uncertainty. Mining accounts for more than 8% of Australia's GDP, and almost 50% of Australia's total merchandise exports. Understanding phenomenological mechanisms for price fluctuations and using our dynamic price model can help determine better timing of investments in mining infrastructure. This knowledge will help Australia benefit from the upside of commodity 'cycles', super or not. The market model that will be develope ....Understanding cycles in mineral commodity price, a market model with uncertainty. Mining accounts for more than 8% of Australia's GDP, and almost 50% of Australia's total merchandise exports. Understanding phenomenological mechanisms for price fluctuations and using our dynamic price model can help determine better timing of investments in mining infrastructure. This knowledge will help Australia benefit from the upside of commodity 'cycles', super or not. The market model that will be developed in this project can be used to assist in better planning for commodity cycle upside, improving the overall efficiency of capital utilisation in the long term.Read moreRead less
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
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