Reverse engineering nature: metal extraction through mineral replacement. This project aims to find new methods of copper recovery from low grade copper ores, which are currently uneconomic to mine. In nature, at the top of ore deposits and just below the water-table, is a region known as the supergene zone. Here mild oxidizing reactions take place causing primary ore minerals such as chalcopyrite to be replaced by more copper-rich, less refractory minerals. These processes are driven by disso ....Reverse engineering nature: metal extraction through mineral replacement. This project aims to find new methods of copper recovery from low grade copper ores, which are currently uneconomic to mine. In nature, at the top of ore deposits and just below the water-table, is a region known as the supergene zone. Here mild oxidizing reactions take place causing primary ore minerals such as chalcopyrite to be replaced by more copper-rich, less refractory minerals. These processes are driven by dissolution re-precipitation reactions (CDR reactions) and in many CDR reactions, the reaction mechanism, rather than intensive properties such as pressure and temperature, control the nature of the products and the overall reaction process. This project will explore the mechanism and controls on these reactions to see if they can be utilized in the mining industry to economically extract copper from low grade ores.
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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
Deep and smelly: exploring the roles of pressure and sulphur in hydrothermal metal transport. Hot, salty fluids carry metals in the Earth's crust and are responsible for the formation of Australia's mineral wealth. This project combines exciting new experiments with molecular-level simulations to predict metal transport, providing a sound basis for improving mineral exploration models and sustaining discovery of new deposits.
Multi-phase modelling and characterisation of mudrush hazard in cave mining. A mudrush is a sudden, uncontrolled flow of wet fine particles (mud) into an underground mine that damages equipment, infrastructure, and can even cause fatalities. This project aims to develop cost-effective management and monitoring of mudrush hazards within the at-risk Carrapateena cave mine operated by OZ Minerals. Building on recent technological and numerical advances, a novel experimental–theoretical–numerical ap ....Multi-phase modelling and characterisation of mudrush hazard in cave mining. A mudrush is a sudden, uncontrolled flow of wet fine particles (mud) into an underground mine that damages equipment, infrastructure, and can even cause fatalities. This project aims to develop cost-effective management and monitoring of mudrush hazards within the at-risk Carrapateena cave mine operated by OZ Minerals. Building on recent technological and numerical advances, a novel experimental–theoretical–numerical approach will be used to simulate mudrush risk based on moisture content, particle sizes, compaction, geological conditions, and seismic energy. Outputs will include a practical framework to boost the safety, productivity, and profitability of caving operations to benefit miners and the broader resources industry.Read moreRead less
Source to spectrum: Finding deposits beyond the Fe oxide-Cu-Au envelope. Source to spectrum: Finding deposits beyond the Fe oxide-Cu-Au envelope. This project aims to improve exploration models for the spectrum of deposits at Olympic Dam. The giant Olympic Dam iron–oxide–copper–gold (IOCG) deposit in the Gawler Craton, discovered 40 years ago, has contributed billions of dollars to the economy. A fluid flow event in the Olympic Dam created a vast, crustal-scale alteration system with a spectrum ....Source to spectrum: Finding deposits beyond the Fe oxide-Cu-Au envelope. Source to spectrum: Finding deposits beyond the Fe oxide-Cu-Au envelope. This project aims to improve exploration models for the spectrum of deposits at Olympic Dam. The giant Olympic Dam iron–oxide–copper–gold (IOCG) deposit in the Gawler Craton, discovered 40 years ago, has contributed billions of dollars to the economy. A fluid flow event in the Olympic Dam created a vast, crustal-scale alteration system with a spectrum of different mineral deposits, many of which are under-explored. This project aims to constrain the source of metal and fluids in the Gawler Craton deposits, determine crustal fertility for deposit formation and develop metal specific 'prospectivity maps' to improve exploration efficiency.Read moreRead less
Liquefaction of silty soils: Micromechanics, modelling and prediction. The project aims to develop a numerical approach to understand liquefaction in silty soils. Liquefaction of silty soils in submarine landslides, mine tailings dam failures and cargo liquefaction in vessels carrying iron/nickel ores can cause property loss and be fatal. This project will bridge the behaviours across the scales and deliver constitutive models that possess grain scale mechanisms for better prediction of liquefac ....Liquefaction of silty soils: Micromechanics, modelling and prediction. The project aims to develop a numerical approach to understand liquefaction in silty soils. Liquefaction of silty soils in submarine landslides, mine tailings dam failures and cargo liquefaction in vessels carrying iron/nickel ores can cause property loss and be fatal. This project will bridge the behaviours across the scales and deliver constitutive models that possess grain scale mechanisms for better prediction of liquefaction induced failure at the large scales. The expected outcomes are liquefaction criteria for silty soils with different silt contents and numerical tools to predict the onset of liquefaction and flow of liquefied soils.Read moreRead less
Transport of metals in vapours and brines: new insights into the formation of the Earth's mineral deposits. Traditional models for the formation of hydrothermal ore deposits assume that aqueous fluids transported the metals. This view is challenged by new observations showing that gold and copper are preferentially enriched in vapours coexisting with salty aqueous fluids in some deposits. This project uses state-of-the-art techniques and develops new instruments to measure experimentally the par ....Transport of metals in vapours and brines: new insights into the formation of the Earth's mineral deposits. Traditional models for the formation of hydrothermal ore deposits assume that aqueous fluids transported the metals. This view is challenged by new observations showing that gold and copper are preferentially enriched in vapours coexisting with salty aqueous fluids in some deposits. This project uses state-of-the-art techniques and develops new instruments to measure experimentally the partitioning of metals between solid, fluid and vapour at temperatures typical for natural ore deposits (350-550C, pressures varying for vapour saturated to 1 kb). By improving our understanding of metal transport within the Earth's crust, these data will lead to improved models and technologies for exploring and processing base and precious metals.Read moreRead less
Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in traile ....Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in trailer design. This project expects to revolutionize the design and maintenance practices in Australian truck trailer industry. It should provide significant benefits, such as prolonging the life cycle of truck trailers, reducing the tare weight and increasing operating profit, to both trailer producers and users.Read moreRead less
The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050
Funder
Australian Research Council
Funding Amount
$570,000.00
Summary
Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.