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
Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced sim ....Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced simulation techniques leading to better understanding of structural vulnerability to cyclones. This should provide significant benefits, such as improved structural design and cyclone mitigation strategies applicable to both high-value engineering structures and vulnerable communities in cyclone regions.Read moreRead less
Development of advanced deterioration model for the design of stabilised pavement bases. The Australian road network is a lifeline infrastructure that underpins the nation's living standards and economy. Much of these roads have deteriorated and require rehabilitation to get a new lease of life. This project intends to develop advanced methods to extend the lives of these pavements using in-situ recycling of old pavement materials.
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
Sustainable retirement villages for Ageing Australians. This project aims to deliver sustainable retirement villages to better accommodate older Australians and assess their effects on the growth of the retirement village industry. More organisations and governments globally are embracing sustainable development, but the Australian retirement village industry has been largely static and unresponsive; it has not yet met the green movement’s challenge to provide a sustainable living environment fo ....Sustainable retirement villages for Ageing Australians. This project aims to deliver sustainable retirement villages to better accommodate older Australians and assess their effects on the growth of the retirement village industry. More organisations and governments globally are embracing sustainable development, but the Australian retirement village industry has been largely static and unresponsive; it has not yet met the green movement’s challenge to provide a sustainable living environment for senior citizens. This project is expected to improve the living environment of retirement villages and the quality of life of older Australians.Read moreRead less
Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.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
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.
Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coasta ....Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coastal infrastructures and significantly reduce the loss of their capacities due to corrosion-induced damage. The development of ultra-high performance geopolymer concrete thin-walled structures is a significant engineering discovery, which is in line with the Australian government 2030 vision for sustainable development.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