Fatigue Behaviour of Dragline Tubular Structures. Fatigue failure is a major concern for dragline tubular structures. Several catastrophic collapses of such structure occurred. The fatigue behaviour of such large tubular structures is unknown. Fatigue cracks were observed in many existing draglines. The latest international design codes are inadequate to address this issue. The project will develop reliable methodologies for design, inspection, strengthening and assessment of such structures. Th ....Fatigue Behaviour of Dragline Tubular Structures. Fatigue failure is a major concern for dragline tubular structures. Several catastrophic collapses of such structure occurred. The fatigue behaviour of such large tubular structures is unknown. Fatigue cracks were observed in many existing draglines. The latest international design codes are inadequate to address this issue. The project will develop reliable methodologies for design, inspection, strengthening and assessment of such structures. The outcome will be reduced manufacturing and operational costs and a reduced catastrophic failure risk. This will increase the international competitiveness of Australian mining industry. Several other industry sectors will be benefited from the technology developed in this project.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
Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical ....Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical modelling to corroborate large-scale laboratory observations with past and real-time field monitoring records. This project will deliver tangible strategies and tools to increase track longevity and assist decision-makers in planning and prioritising corrective maintenance to ensure improved safety and passenger comfort.Read moreRead less
Development of a Local Spectral Method for the Computations of Thin-Walled Structures. This project will benefit Aust. society by providing a powerful tool for improving the safe and cost effective design of structures under extreme conditions (high frequency vibration, complicating supporting conditions). The method has the potential to be further developed to provide solutions to unsolved problems in acoustic wave transport, short electromagnetic wave propagation etc. The research training of ....Development of a Local Spectral Method for the Computations of Thin-Walled Structures. This project will benefit Aust. society by providing a powerful tool for improving the safe and cost effective design of structures under extreme conditions (high frequency vibration, complicating supporting conditions). The method has the potential to be further developed to provide solutions to unsolved problems in acoustic wave transport, short electromagnetic wave propagation etc. The research training of the project will help to keep Australia to be at the forefront in this research field and the published research findings will promote the reputation of Australian researchers in the field of computational engineering. The international collaboration will be strengthened between the Investigator's team and his colleagues in US. Read moreRead less
A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to stud ....A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to study pedestrian crowd dynamics under panic or extreme emergency conditions, using innovative experimental approaches with new multi-scale online simulation methods and optimisation techniques. The resultant methodology would support planning and prediction of pedestrian crowd movements based on data from past events as well as adaptive planning for live events as they unfold.Read moreRead less
Topology Optimisation for Three-dimensional Periodic Nanophotonic Structures. Three-dimensional dielectric and/or metallic nanophotonic structures are of critical importance to a wide variety of applications ranging from sensing and biomedicine to imaging and information technology. This project aims to establish effective and efficient topology optimisation algorithms for the designs of nanophotonic structures with specific functional properties. The expected outcome will be a new methodology a ....Topology Optimisation for Three-dimensional Periodic Nanophotonic Structures. Three-dimensional dielectric and/or metallic nanophotonic structures are of critical importance to a wide variety of applications ranging from sensing and biomedicine to imaging and information technology. This project aims to establish effective and efficient topology optimisation algorithms for the designs of nanophotonic structures with specific functional properties. The expected outcome will be a new methodology and an advanced design tool for scientists and engineers to create novel nanophotonic structures to improve capabilities in devices such as waveguides, sensors, optical computer chips, superlenses and so on.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
Fundamentals of Damage Identification in Tubular Structures Using Guided Waves. This project addresses fundamental but frontier issues and techniques that will lead to ultimate solutions for online integrity/safety assessment of tubular engineering structures. The most important outcome will be the development of fundamental knowledge and algorithms of guided wave-based damage identification in tubular structures in applications, putting Australia at the international forefront of techniques in ....Fundamentals of Damage Identification in Tubular Structures Using Guided Waves. This project addresses fundamental but frontier issues and techniques that will lead to ultimate solutions for online integrity/safety assessment of tubular engineering structures. The most important outcome will be the development of fundamental knowledge and algorithms of guided wave-based damage identification in tubular structures in applications, putting Australia at the international forefront of techniques in efficient asset maintenance and management. This project focuses on cutting-edge technologies, including sensor networks with signal filtering/processing and software/hardware integration, which will incubate the commercialisation of practical sensor networks, benefiting the intellectual leadership of Australia.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100006
Funder
Australian Research Council
Funding Amount
$3,937,625.00
Summary
ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include in ....ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include increased axle loads and higher speeds, greater safety margins, reduced construction and maintenance costs, and a body of competent railway professionals in the nation’s work force.Read moreRead less
Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual interve ....Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual intervention and optimising both short- and long-term maintenance based on real-time sensor data. These new methods will be powerful tools for tackling the complexity of large-scale, time-critical maintenance projects, driving productivity in the resources industry and fostering collaboration between mathematicians and engineers.Read moreRead less