The study and development of a 3D real-time stockpile management system. By successfully completing this project, the efficiency of existing infrastructure investments in industries involved in bulk material handling (inclusive of minerals, grain, sugar and woodchips) will be largely improved. This will allow such industries to contain costs and thus increase international competitiveness. Efficiencies gains (in these industries) to date have been in recover and processing with little attention ....The study and development of a 3D real-time stockpile management system. By successfully completing this project, the efficiency of existing infrastructure investments in industries involved in bulk material handling (inclusive of minerals, grain, sugar and woodchips) will be largely improved. This will allow such industries to contain costs and thus increase international competitiveness. Efficiencies gains (in these industries) to date have been in recover and processing with little attention to stockyard and movement within the stockyards. The industries sectors in which will receive the greatest benefits are in rural and remote Australia. There is also the ability of the system to be exported to overseas clients, particularly in the mining sector.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
A new damage model for rock burst in hard rocks during deep mining. This project seeks to develop a new model to predict incipient rock burst in deep mines. Violent sudden energy released during dynamic brittle failure of rocks can kill people and cause serious damages to mining infrastructures. The project aims to investigate formation of micro-fractures on the brittle shear zones during dynamic brittle failure of pristine rocks with a unique experimental methodology under high-pressure-tempera ....A new damage model for rock burst in hard rocks during deep mining. This project seeks to develop a new model to predict incipient rock burst in deep mines. Violent sudden energy released during dynamic brittle failure of rocks can kill people and cause serious damages to mining infrastructures. The project aims to investigate formation of micro-fractures on the brittle shear zones during dynamic brittle failure of pristine rocks with a unique experimental methodology under high-pressure-temperature condition. It is anticipated that a new micromechanics-based damage model for brittle rocks will be developed from this. Implementation of the new coupled thermo-mechanical damage model into a finite element should result in realistic simulation of deep mining operations to identify rock-burst prone areas and allow mining managers to avoid potential hazards.Read moreRead less