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
A multi-scale theory for solid-granular transition due to fragmentation. The prediction of rock fragmentation and fragment sizes during its phase transition from solid (rock mass) to granular (ore fragments) is the most crucial problem in a cave mining operation. Current practice relies on empirical tools without fundamentals of fracture, and hence cannot reliably predict the fragmentation process and fragment sizes. This can lead to huge economic loss due to damage to extraction points, hold-up ....A multi-scale theory for solid-granular transition due to fragmentation. The prediction of rock fragmentation and fragment sizes during its phase transition from solid (rock mass) to granular (ore fragments) is the most crucial problem in a cave mining operation. Current practice relies on empirical tools without fundamentals of fracture, and hence cannot reliably predict the fragmentation process and fragment sizes. This can lead to huge economic loss due to damage to extraction points, hold-ups for safety precautions, and mine closures. The project will develop a new theory and models to describe this solid-granular transition, and computational tools for simulations of cave mining operations. The expected benefits and outcomes include safer operations, and better control of production schedule and budgeting.Read moreRead less
A novel whole-process analysis method for fractured rock slopes . Aims: The project aims to develop a discontinuous deformation and displacement analysis method to study the jointed rock slope instability.
Significance: The proposed method verified by experimental tests will be inherit the advantages of finite element method and discontinuous deformation analysis and is able to provide an entire and unified description of rock deformation and failure.
Expected Outcomes: The results of this integ ....A novel whole-process analysis method for fractured rock slopes . Aims: The project aims to develop a discontinuous deformation and displacement analysis method to study the jointed rock slope instability.
Significance: The proposed method verified by experimental tests will be inherit the advantages of finite element method and discontinuous deformation analysis and is able to provide an entire and unified description of rock deformation and failure.
Expected Outcomes: The results of this integrated study will provide a new method for engineers who wish to characterise and predict the stability of rock/tunnel slopes in Australia and worldwide.
Benefits: Australian society will benefit from new tools to facilitate more reliable assessment of risks associated with instability in rock slopes.
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Energy dissipation characterisation in dynamic brittle fracture. Energy dissipation in dynamic fracture of brittle materials is pivotal in mining, civil engineering and defence. The project aims to develop a novel experimentally-validated multiscale theory, with associated models, for characterising and predicting the complete dynamic fracture process of brittle materials. This theory is expected to generate close-to-reality simulations critical for understanding fundamental aspects of energy di ....Energy dissipation characterisation in dynamic brittle fracture. Energy dissipation in dynamic fracture of brittle materials is pivotal in mining, civil engineering and defence. The project aims to develop a novel experimentally-validated multiscale theory, with associated models, for characterising and predicting the complete dynamic fracture process of brittle materials. This theory is expected to generate close-to-reality simulations critical for understanding fundamental aspects of energy dissipation in dynamic fracture. The outcomes will enable an optimised control of the fragment size in block cave mining and mineral processing, forecast and prevent fatal rock bursts in underground mines, and minimise catastrophic failures in critical infrastructures challenged by extreme loading, e.g. explosions.Read moreRead less
A novel quantitative risk assessment framework for fractured rock slopes. Rock slope instabilities present grave risks to life and to the serviceability of major Australian infrastructure such as mines, roads and railways, and to coastal recreation areas. This project aims at developing tools for the quantitative risk assessment of fractured rock slopes based on rigorous rock mechanics, numerical methods and probabilistic methods.
The research outcomes will improve our understanding of natural ....A novel quantitative risk assessment framework for fractured rock slopes. Rock slope instabilities present grave risks to life and to the serviceability of major Australian infrastructure such as mines, roads and railways, and to coastal recreation areas. This project aims at developing tools for the quantitative risk assessment of fractured rock slopes based on rigorous rock mechanics, numerical methods and probabilistic methods.
The research outcomes will improve our understanding of natural and engineering rock slopes, reduce the uncertainties in the prediction of the safety of infrastructures, and thus minimize the loss and damage. The research outcomes can also be used to maintain workplace safety in mining environments and avoid disruptions to production.
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Solving the scale effect for rock discontinuities. This project aims to create a ground breaking approach for the scale-free prediction of shear strength of large in-situ rock discontinuities. Failure of rock slopes or rock cliffs can have disastrous consequences for human life, infrastructure and the economy. The stability of a fractured rock mass is controlled by the presence and characteristics of discontinuities, and any rigorous stability assessment requires quantification of discontinuity ....Solving the scale effect for rock discontinuities. This project aims to create a ground breaking approach for the scale-free prediction of shear strength of large in-situ rock discontinuities. Failure of rock slopes or rock cliffs can have disastrous consequences for human life, infrastructure and the economy. The stability of a fractured rock mass is controlled by the presence and characteristics of discontinuities, and any rigorous stability assessment requires quantification of discontinuity shear strength. The issue of rock instability affects both the civil and mining sectors. Developing a design methodology that addresses the scale effect for rock slope stability will provide safer civil environments and will allow the optimisation of resource extraction. This project will have significant economical and societal benefits which will apply not only to Australia but also internationally.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
In the Driver's seat: role of trace elements in enabling crustal fluid flow. This proposal aims to systematically investigate the role of trace elements in controlling the kinetics, product composition, and feed-back between fluid flow and the reaction interface, in fluid-driven mineral reactions. This project expects to provide a framework for the integration of activator trace elements in models of crustal fluid flow and their application in the recovery of base, precious, and critical metals, ....In the Driver's seat: role of trace elements in enabling crustal fluid flow. This proposal aims to systematically investigate the role of trace elements in controlling the kinetics, product composition, and feed-back between fluid flow and the reaction interface, in fluid-driven mineral reactions. This project expects to provide a framework for the integration of activator trace elements in models of crustal fluid flow and their application in the recovery of base, precious, and critical metals, using interdisciplinary approaches across geochemistry, mineral engineering and material sciences. Expected outcomes include improved prediction of the transport of metals and fluids in geo-systems. This should provide significant benefits towards integrating the mineral value chain from exploration to mining and metallurgy.Read moreRead less
Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/ ....Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/controller networks and interaction effects, and determine the feasibility of desired control performance under distributed control. Novel big data-based distributed control design approaches will be developed by extending the dissipativity, contraction and differential dissipativity conditions for behavioural systems.Read moreRead less
Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a sys ....Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a system that is highly efficient, accurate and corrupted-data-tolerant classification solutions for individual stream data as well as multiple stream data. The expected benefits will be far-ranging and adaptable to many domains, such as smart home, medical and healthcare, transportation and manufacturing. Read moreRead less