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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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
Smart transformation of transport asset management through semantic web. This project aims to develop a novel asset management information model to improve the overall effectiveness of decision making in transport asset management. The project intends to provide logical formalisms and semantic features to value-adding asset information in key asset management areas. The expected outcome will be a new value-based asset management information model which provides semantically enriched asset inform ....Smart transformation of transport asset management through semantic web. This project aims to develop a novel asset management information model to improve the overall effectiveness of decision making in transport asset management. The project intends to provide logical formalisms and semantic features to value-adding asset information in key asset management areas. The expected outcome will be a new value-based asset management information model which provides semantically enriched asset information for decision-making concerning transport asset management. This will help reduce the cost, duration and effort required to acquire relevant asset information and improve the quality and data availability of current transport asset management systems.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
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
Discovery Early Career Researcher Award - Grant ID: DE220100909
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Innovative Soft-computing for Condition Assessment of Large Infrastructure. Health conditions of large infrastructure, such as bridges, have been difficult to determine due to their large scales, associated incomplete data and high uncertainties in measurement and system identification. This project will develop an innovative condition assessment method based on the advancements in structural dynamics analysis, multi-objective topology and soft-computing techniques, for reliably evaluating the h ....Innovative Soft-computing for Condition Assessment of Large Infrastructure. Health conditions of large infrastructure, such as bridges, have been difficult to determine due to their large scales, associated incomplete data and high uncertainties in measurement and system identification. This project will develop an innovative condition assessment method based on the advancements in structural dynamics analysis, multi-objective topology and soft-computing techniques, for reliably evaluating the health conditions of large infrastructure. The outcomes will enhance the current practices in infrastructure asset management to deliver timely retrofitting and extended life cycle. The development will provide benefits to Australia by enhancing operational efficiency and preventing catastrophic failure of infrastructure.Read moreRead less
Fatigue Strengthening of Metallic Bridges using Carbon Fibre Reinforced Polymer System. A large number of metallic structures such as bridges, offshore platforms and large mining equipment are aging. Retrofitting such structures is becoming increasingly important in the 21st century. Using an advanced material, Carbon Fibre Reinforced Polymer (CFRP), to strengthen metallic structures is very promising. This project aims to develop reliable CFRP strengthening systems for aging metallic bridges. I ....Fatigue Strengthening of Metallic Bridges using Carbon Fibre Reinforced Polymer System. A large number of metallic structures such as bridges, offshore platforms and large mining equipment are aging. Retrofitting such structures is becoming increasingly important in the 21st century. Using an advanced material, Carbon Fibre Reinforced Polymer (CFRP), to strengthen metallic structures is very promising. This project aims to develop reliable CFRP strengthening systems for aging metallic bridges. It aims to make a breakthrough in understanding of the fatigue crack propagation in CFRP-metal composite system under combined loading. It intends also to produce practical guidelines for engineers to strengthen aging metallic bridges.Read moreRead less
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
Planning and managing road transport systems for extreme events through spatial enablement. Transport infrastructure is one of the seven types of nationally significant critical infrastructure identified federally to ensure the continuity of essential services in the face of extreme events including terrorist attacks and natural disasters. This project aims to provide tools for determining the most cost efficient schedule of preventative strengthening works for road networks for reducing the dis ....Planning and managing road transport systems for extreme events through spatial enablement. Transport infrastructure is one of the seven types of nationally significant critical infrastructure identified federally to ensure the continuity of essential services in the face of extreme events including terrorist attacks and natural disasters. This project aims to provide tools for determining the most cost efficient schedule of preventative strengthening works for road networks for reducing the disruption and recovery costs after extreme events. The project aims to develop a novel platform for increasing the resilience of road networks by blending transport resilience modelling and structural health vulnerability analysis of road infrastructure into one integrated spatially enabled road transport planning system.Read moreRead less
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.