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
Industrial Transformation Training Centres - Grant ID: IC160100036
Funder
Australian Research Council
Funding Amount
$4,881,754.00
Summary
ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its netw ....ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its networked training environment. It expects these innovations will enable much needed efficiencies after the end of the mining super-cycle. Anticipated outcomes are the design of products with superior alloy design and material selection; jobs growth and security in the mining component production sector; and increased mining efficiency and cost reduction.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC220100028
Funder
Australian Research Council
Funding Amount
$4,969,602.00
Summary
ARC Training Centre for Innovative Composites for the Future of Sustainable Mining Equipment. The Centre aims to train industry-focused researchers in advanced manufacturing of new-generation mining equipment and sustainable mining technology, through close collaborations among key universities and mining and manufacturing companies. The Centre will cultivate a team of world-class academic researchers and industry leaders to deliver an innovative program on research of innovative composites coup ....ARC Training Centre for Innovative Composites for the Future of Sustainable Mining Equipment. The Centre aims to train industry-focused researchers in advanced manufacturing of new-generation mining equipment and sustainable mining technology, through close collaborations among key universities and mining and manufacturing companies. The Centre will cultivate a team of world-class academic researchers and industry leaders to deliver an innovative program on research of innovative composites coupled with work-integrated learning, to not only produce a workforce that meets future skills demand but also develop sustainable and cost-effective mining equipment and high-efficiency mining technologies, benefiting the nation's manufacturing and mining sectors and significantly enhancing the competitiveness of the Australian mining industry.Read moreRead less
Transforming pastefill delivery system for next-generation mining industry. This project aims to develop a new type of mining pipeline design platform that can vastly improve pastefill (slurry) delivery systems. Using an Artificial Intelligence-based design platform, understanding complex and numerous variables in the fluid dynamics of abrasive pastefill flow will inform a new pipeline design. Consisting of a vertical casing, with our new composite pipeline chokes to replace costly friction loop ....Transforming pastefill delivery system for next-generation mining industry. This project aims to develop a new type of mining pipeline design platform that can vastly improve pastefill (slurry) delivery systems. Using an Artificial Intelligence-based design platform, understanding complex and numerous variables in the fluid dynamics of abrasive pastefill flow will inform a new pipeline design. Consisting of a vertical casing, with our new composite pipeline chokes to replace costly friction loops, improvements in flow efficiency and pipeline deterioration can significantly reduce maintenance costs. This novel and adaptable next-generation pipeline design and analysis platform can be employed by the manufacturing and mining sectors for pipeline failure analysis, managing production and developing new products.Read moreRead less
Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less
Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outc ....Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outcomes include enhanced capacity to estimate hydrodynamic response and advanced design tools for floating wind, floating solar and offshore aquaculture. This will provide significant benefit by enabling cost-efficient and viable designs, thereby accelerating the development of offshore renewable energy.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.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
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.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