Understanding and predicting sediment distribution and net transport in estuaries and coastal oceans with an emphasis on muddy bottom layers. This project will design and implement a field campaign to observe fluid mud layers in the muddy harbours and develop predictive models to investigate these layers. This research will give new direction to port management by developing adaptive tools to solve water quality and siltation problems in muddy ports and harbours in Australia.
Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertaint ....Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertainties. This project intends to ease the current scientific data interpretation bottleneck. Expected outcomes are better infrastructure management and maintenance planning, fewer redundant interventions, modified infrastructure and improved future design.Read moreRead less
Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information t ....Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information through computational intelligence. The expected outcome will be an intelligent asset management platform that provides structured and semantically enriched lifecycle asset information for optimised solutions to help reduce the cost, time and effort in asset information storage and retrieval, and decision-making. Read moreRead less
Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and red ....Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and reduction strategies prevails. This research aims to develop a theoretical model that can be used to develop robust containment and reduction strategies to mitigate the adverse economic, productivity and safety consequences that materialize from performing rework during the construction of mega transport projects.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100010
Funder
Australian Research Council
Funding Amount
$4,918,357.00
Summary
ARC Research Hub for Smart Next Generation Transport Pavements. The ARC Research Hub for Smart Next Generation Transport Pavements aims to make road, airport and dockyard pavements smart, low cost, long-lasting, safe, green and adaptable to future transport demands. Australia’s road network, upon which the nation depends for its economic and social prosperity, is at risk due to increases in passenger and freight load degradation of the road network, and material and expertise scarcity. The Hub w ....ARC Research Hub for Smart Next Generation Transport Pavements. The ARC Research Hub for Smart Next Generation Transport Pavements aims to make road, airport and dockyard pavements smart, low cost, long-lasting, safe, green and adaptable to future transport demands. Australia’s road network, upon which the nation depends for its economic and social prosperity, is at risk due to increases in passenger and freight load degradation of the road network, and material and expertise scarcity. The Hub will deliver new materials and modelling, smart construction, and rehabilitation systems required for future demands, while enhancing road safety and reducing environmental impact.
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Laser Ultrasonic Health Monitoring for Australia’s Infrastructure Assets. This project aims to develop technologies to monitor the health of Australia’s ageing infrastructure with the use of a unique laser ultrasonic device. The laser device will be used to conduct experiments that are expected to develop a set of techniques for monitoring the critical areas of structures with most frequently observed ageing problems. Precise estimates of damage will be made by processing signals from a combinat ....Laser Ultrasonic Health Monitoring for Australia’s Infrastructure Assets. This project aims to develop technologies to monitor the health of Australia’s ageing infrastructure with the use of a unique laser ultrasonic device. The laser device will be used to conduct experiments that are expected to develop a set of techniques for monitoring the critical areas of structures with most frequently observed ageing problems. Precise estimates of damage will be made by processing signals from a combination of simulation and experimental modelling. Feedback from the user community is expected to further improve the techniques.Read moreRead less
Greening procurement of infrastructure construction: optimising mass-haul operations to reduce greenhouse gas emissions. This project will develop and prototype tools to reduce the high environmental impact of mass haul operations in road and rail infrastructure projects. Both contractors and clients need practical methods for calculating, optimising and procuring optimal solutions, because mass haul is one of the few areas where a contractor can reduce carbon dioxide impact.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100089
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Performance level structural testing facility. A structural testing facility is proposed for the new Advanced Engineering Building at The University of Queensland. The focus of the research supported by this facility will ensure the functionality of Australia’s infrastructure resources and the development of new engineering solutions that will enhance the country’s long-term economic growth.
Modelling and testing corroding reinforced concrete structures. The project aims to develop models and methods to enable the early detection of active steel corrosion. Most of Australia’s critical infrastructure is located on or near the coast in high saline conditions and is exposed to a high risk of reinforcing steel corrosion. Our ability to design and monitor such structures is crucial. The first part of the project aims to develop an innovative finite element model to improve the prediction ....Modelling and testing corroding reinforced concrete structures. The project aims to develop models and methods to enable the early detection of active steel corrosion. Most of Australia’s critical infrastructure is located on or near the coast in high saline conditions and is exposed to a high risk of reinforcing steel corrosion. Our ability to design and monitor such structures is crucial. The first part of the project aims to develop an innovative finite element model to improve the prediction of both active steel reinforcement corrosion and the time to concrete cracking in a chloride environment. It then plans to develop a non-destructive method, combining ultrasonic waves-based technology and acoustic emission, to detect active steel corrosion before any damage is visible on the structure.Read moreRead less
Performance of granular matrix under heavy haul cyclic loading. Performance of granular matrix under heavy haul cyclic loading. This project aims to enhance the longevity of roads and tracks based on improved geotechnical design. The demand for safe and durable roads and railways to accommodate faster and heavier traffic has increased steadily in the past decade. This project will research the performance of compacted granular waste (coalwash & flyash) under cyclic loads, particularly relevant t ....Performance of granular matrix under heavy haul cyclic loading. Performance of granular matrix under heavy haul cyclic loading. This project aims to enhance the longevity of roads and tracks based on improved geotechnical design. The demand for safe and durable roads and railways to accommodate faster and heavier traffic has increased steadily in the past decade. This project will research the performance of compacted granular waste (coalwash & flyash) under cyclic loads, particularly relevant to heavy haul industry, from a geomechanics perspective. It will use geotechnical laboratory testing and field monitoring to develop a computational model, incorporating the relevant strength and deformation properties at varied load frequencies. The anticipated outcome is sustainable, more resilient transport infrastructure.Read moreRead less