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
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
Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation tec ....Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation technologies to enhance water quality treatment, enhance urban water security and guarantee environmental flows to maintain healthy waterways. Working in partnership with waterway managers and water retailers, this project strives to deliver a nationally and globally relevant technology to change how we manage water in cities.Read moreRead less
Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of ....Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of the project will be a significantly improved prediction tool. It is also anticipated that the project will result in improvements in dam and public safety, and more efficient use of funds for dam safety upgrades and management.Read moreRead less
Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental ....Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental protection against PFASs and establishment of new approaches for predicting functional containment lifetimes of liner systems. These outcomes are expected to benefit the waste and remediation industries by influencing next-generation design regulations to ensure long-term environmental protection from PFAS.Read moreRead less
Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While th ....Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While this risk is poorly understood, it could significantly affect the long-term reliability of water supply and potable water treatment costs. Addressing this knowledge gap is expected to develop effective management responses to ensure the long term sustainable use of these water resources.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
Controlling alkali-silica reaction in concrete for road pavements and bridge using graphene oxide and dune sand. This project aims to formulate a new mix design for sustainable and resilient infrastructure materials with radically improved material properties and performance, as well as reduced life cycle cost and impact on the environment and societies. The aim of the project is to investigate the effect of dune sand and graphene oxide on mechanical properties and durability of concrete composi ....Controlling alkali-silica reaction in concrete for road pavements and bridge using graphene oxide and dune sand. This project aims to formulate a new mix design for sustainable and resilient infrastructure materials with radically improved material properties and performance, as well as reduced life cycle cost and impact on the environment and societies. The aim of the project is to investigate the effect of dune sand and graphene oxide on mechanical properties and durability of concrete composites including properties and strength relation and alkali-silica reaction in concrete. The optimal mix design will be supported by the understanding of the interaction between graphene oxide, water molecules, dune sand and cement at nanolevel via scanning electron microscopy (SEM) and molecular dynamics simulations.Read moreRead less
HyPoCrete: Hydrogen storage using an innovative concrete composite system. This project aims to develop an innovative polymer concrete composite system for the safe and efficient storage of hydrogen. New knowledge is expected to be generated on the novel use of polymer and concrete materials in hydrogen storage technologies. The expected outcomes include a new class of prefabricated, modular storage system that is highly efficient and low cost. The scalability and resilience of the system will b ....HyPoCrete: Hydrogen storage using an innovative concrete composite system. This project aims to develop an innovative polymer concrete composite system for the safe and efficient storage of hydrogen. New knowledge is expected to be generated on the novel use of polymer and concrete materials in hydrogen storage technologies. The expected outcomes include a new class of prefabricated, modular storage system that is highly efficient and low cost. The scalability and resilience of the system will be achieved by using concrete, a material widely used in the construction industry for its mechanical performance, durability and affordability. This should provide significant benefits in fostering the hydrogen economy by providing an efficient and resilient storage system for industrial quantities of hydrogen.Read moreRead less
Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastruc ....Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastructure and improve quality of life.Read moreRead less