Microbiologically Induced Stress Corrosion Cracking in Underground Mines. Premature brittle failure of rock & cable bolts due to stress corrosion cracking can cause fatalities and serious damage, and has been reported in several mining operations across Australia and world-wide. The evidence suggests that microbial activity is a contributing factor. The project aims to implement experimental methodologies to determine the specific conditions responsible for bolt failure and develop novel prevent ....Microbiologically Induced Stress Corrosion Cracking in Underground Mines. Premature brittle failure of rock & cable bolts due to stress corrosion cracking can cause fatalities and serious damage, and has been reported in several mining operations across Australia and world-wide. The evidence suggests that microbial activity is a contributing factor. The project aims to implement experimental methodologies to determine the specific conditions responsible for bolt failure and develop novel prevention techniques applicable in underground mines. The benefits of this research will be improved understanding of the environment causing catastrophic failure of bolts and avoidance of potential hazards & economic loss in mining projects. This will lead to improved safety & increased productivity in mining operations.Read moreRead less
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
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
Maximise goaf gas drainage for safe coal extraction and emissions reduction. Coal mine methane is a serious mining hazard and greenhouse gas emissions. This project seeks to enhance mining safety by maximising gas capture during coal extraction. This will be achieved through field data back-analysis, coupled Multiphysics modelling, and stochastic risk assessment. Gas explosion and spontaneous combustion risks associated with intensive gas drainage will be quantitively assessed and eliminated to ....Maximise goaf gas drainage for safe coal extraction and emissions reduction. Coal mine methane is a serious mining hazard and greenhouse gas emissions. This project seeks to enhance mining safety by maximising gas capture during coal extraction. This will be achieved through field data back-analysis, coupled Multiphysics modelling, and stochastic risk assessment. Gas explosion and spontaneous combustion risks associated with intensive gas drainage will be quantitively assessed and eliminated to help mine managers’ decision making, design optimisation, and mitigation planning. This will provide significant benefit for the mining industry in maintaining production commitments in a safe workplace while addressing environmental concerns by capturing the fugitive emissions to be converted into a useful energy resource.Read moreRead less