Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less
Designing work roles for crew operating multiple unmanned aircraft. The aim of this project is to identify how work roles should be designed for crew operating multiple Unmanned Aircraft (UA). Industry expects that the introduction of higher levels of automation in next-generation UA systems will reduce the operational costs associated with UA by enabling human crews to simultaneously manage multiple aircraft. The current project examines the safety and effectiveness of different types of work d ....Designing work roles for crew operating multiple unmanned aircraft. The aim of this project is to identify how work roles should be designed for crew operating multiple Unmanned Aircraft (UA). Industry expects that the introduction of higher levels of automation in next-generation UA systems will reduce the operational costs associated with UA by enabling human crews to simultaneously manage multiple aircraft. The current project examines the safety and effectiveness of different types of work designs for these systems. The primary outcome will be a set of recommendations regarding the design of work roles for the crew of next-generation UA systems. Expected benefits include improvements in safety and cost-effectiveness of next-generation UA systems.Read moreRead less
Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Tra ....Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Travel (AT). There is an opportunity to promote AT as part of an integrated transport strategy, and to develop tools for the robust evaluation of AT impacts to inform future investment strategies. This proposal will provide our partner organisation Transport for New South Wales (with the knowledge required to achieve this.
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The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilitie ....The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilities. The expected outcomes will enable the integration of automated controls in ships, including remote-control capabilities. This will support Australia’s transition towards an autonomous shipping industry, delivering greater reliability, efficiency, productivity and safety.Read moreRead less
A Scenario Planning Tool - Improving the Bikeability of Our Cities. This project aims to produce a data framework and interactive planning support tool, in collaboration with Australian government agencies, to explore various bicycle infrastructure scenarios and assess their potential impacts. This will be a game changer for the transport sector, as the lack of data-driven approaches focused on active mobility has restricted the development of evidence-based business cases for cycling infrastruc ....A Scenario Planning Tool - Improving the Bikeability of Our Cities. This project aims to produce a data framework and interactive planning support tool, in collaboration with Australian government agencies, to explore various bicycle infrastructure scenarios and assess their potential impacts. This will be a game changer for the transport sector, as the lack of data-driven approaches focused on active mobility has restricted the development of evidence-based business cases for cycling infrastructure investment, when compared to motorised transport. Benefits from this project to the nation include more informed and optimised investment in cycling, increase in cycling modal share, reduction of emissions and congestion, and improvement of safety and health outcomes from cycling.Read moreRead less
Predictive Analytics and Real-time Traffic Control for Urban Corridors. This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control dec ....Predictive Analytics and Real-time Traffic Control for Urban Corridors. This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control decisions in real-time. The expected benefits are profound; the developed algorithms and platform will significantly reduce traffic congestion, travel delays and safety risks for all modes of transport, especially for vulnerable road users (e.g. pedestrians and cyclists).Read moreRead less
Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use ....Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use numerical simulation. It will tackle the Fluid-Structure Interaction problem of ships in waves by integrating Finite Element structural response analysis with cutting-edge Smoothed Particle Hydrodynamics methods. The outcomes will provide new insight into remaining asset life and for exploring optimal maintenance strategiesRead moreRead less
A real-time traffic signal system for safe and efficient intersections . Road traffic crashes result in 1,200 fatalities and another 36,500 injuries on Australian roads each year. Signalised intersections represent a high-risk node in a transportation network, but the current signal designs only consider efficiency but not safety. This project aims to unleash the power of artificial intelligence (AI) and integrate with the advanced extreme value models for proactive and efficient detection of cr ....A real-time traffic signal system for safe and efficient intersections . Road traffic crashes result in 1,200 fatalities and another 36,500 injuries on Australian roads each year. Signalised intersections represent a high-risk node in a transportation network, but the current signal designs only consider efficiency but not safety. This project aims to unleash the power of artificial intelligence (AI) and integrate with the advanced extreme value models for proactive and efficient detection of crash risk in real-time. Its innovations lie on developing a novel traffic signal control system balancing safety and efficiency of signalised intersections. The proposed real-time traffic signal system will fundamentally transform the intersection operation and lead to reductions of road fatalities, injuries and emissions.Read moreRead less
AM of MAX Phase parts for applications in extreme environments. This project aims to develop techniques to synthesize MAX Phase compound materials in-situ using laser additive manufacturing. The project expects to increase jet engine fuel efficiency and thrust, and to fabricate longer-lasting parts for supersonic speed applications. The expected outcomes include well-developed additive manufacturing processes to make high performance engineering components with shape complexity for extreme envir ....AM of MAX Phase parts for applications in extreme environments. This project aims to develop techniques to synthesize MAX Phase compound materials in-situ using laser additive manufacturing. The project expects to increase jet engine fuel efficiency and thrust, and to fabricate longer-lasting parts for supersonic speed applications. The expected outcomes include well-developed additive manufacturing processes to make high performance engineering components with shape complexity for extreme environment applications, and new methods to increase the 3D printability of brittle materials. This should provide significant benefits to aerospace and defense industries through solving their long standing bottleneck material and processing problems. The outcomes also enhance Australia’s manufacturing capacity.Read moreRead less