Infrastructure project delivery: a life cycle evaluation model for public private partnerships. Governments continue to embrace public-private partnerships so as to obtain value for money and provide financial accountability to taxpayers. This project will determine the most appropriate way to engage the private sector in infrastructure delivery and develop a dynamic life cycle evaluation model to ensure projects are delivered effectively and efficiently.
Fundamentals of Damage Identification in Tubular Structures Using Guided Waves. This project addresses fundamental but frontier issues and techniques that will lead to ultimate solutions for online integrity/safety assessment of tubular engineering structures. The most important outcome will be the development of fundamental knowledge and algorithms of guided wave-based damage identification in tubular structures in applications, putting Australia at the international forefront of techniques in ....Fundamentals of Damage Identification in Tubular Structures Using Guided Waves. This project addresses fundamental but frontier issues and techniques that will lead to ultimate solutions for online integrity/safety assessment of tubular engineering structures. The most important outcome will be the development of fundamental knowledge and algorithms of guided wave-based damage identification in tubular structures in applications, putting Australia at the international forefront of techniques in efficient asset maintenance and management. This project focuses on cutting-edge technologies, including sensor networks with signal filtering/processing and software/hardware integration, which will incubate the commercialisation of practical sensor networks, benefiting the intellectual leadership of Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100524
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Interactions between plants and faecal pathogens in urban water treatment: significance of soil microbes, plant debris, root exudates and rhizosphere. It is important to treat pathogens in stormwater and wastewater before release into downstream recreational waters or harvesting. Using plants in water treatment improves the removal of pollutants of concern to human and ecosystem health. However, the exact mechanisms which generate this improvement remain unknown, and this is especially true for ....Interactions between plants and faecal pathogens in urban water treatment: significance of soil microbes, plant debris, root exudates and rhizosphere. It is important to treat pathogens in stormwater and wastewater before release into downstream recreational waters or harvesting. Using plants in water treatment improves the removal of pollutants of concern to human and ecosystem health. However, the exact mechanisms which generate this improvement remain unknown, and this is especially true for faecal pathogen removal. This project will enhance our understanding of the interactive role that roots, their exudates, plant debris and soil microbes play in faecal pathogen removal in urban water treatment systems. Through this understanding, this project will lead to optimised low-energy, low-tech and low-maintenance treatment systems.Read moreRead less
A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to stud ....A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to study pedestrian crowd dynamics under panic or extreme emergency conditions, using innovative experimental approaches with new multi-scale online simulation methods and optimisation techniques. The resultant methodology would support planning and prediction of pedestrian crowd movements based on data from past events as well as adaptive planning for live events as they unfold.Read moreRead less
Optimising the design and implementation of public transport priority initiatives. This project strengthens national approaches to a pervasive Australian problem, growing traffic congestion deteriorating liveability, environmental health & economic performance of the cities where most Australians live. Public transport can address these issues but most is provided by buses which are caught up in traffic congestion. This project improves approaches for traffic priority design to improve the eff ....Optimising the design and implementation of public transport priority initiatives. This project strengthens national approaches to a pervasive Australian problem, growing traffic congestion deteriorating liveability, environmental health & economic performance of the cities where most Australians live. Public transport can address these issues but most is provided by buses which are caught up in traffic congestion. This project improves approaches for traffic priority design to improve the effectiveness and efficiency of on-road public transport. It optimises the design of individual and groups of priority treatments and will generate diagnostic tools to better target priority treatments. Findings will better focus Australia's approach to increasingly challenging transport futures.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Innovative tools to improve station design and management of crowds in emergency and panic conditions. This project aims to understand how crowds behave in panic and emergency situations in order to plan evacuation procedures and create the safest designs for our major infrastructures such as large public transport hubs and urban environment.
From hazard identification to risk management. From hazard identification to risk management. This project aims to explore health risks from water- and sediment-borne bacteria to recreational users of urban rivers, using a suite of novel molecular microbiological and in-vitro assays and microbial risk assessment modelling. This project also aims to develop source tracking methods to mitigate and manage these risks. The number of bacterial-related water-borne outbreaks associated with recreationa ....From hazard identification to risk management. From hazard identification to risk management. This project aims to explore health risks from water- and sediment-borne bacteria to recreational users of urban rivers, using a suite of novel molecular microbiological and in-vitro assays and microbial risk assessment modelling. This project also aims to develop source tracking methods to mitigate and manage these risks. The number of bacterial-related water-borne outbreaks associated with recreational activities is rising, but waterway managers are under pressure to re-open these rivers for recreation. The project is expected to benefit urban communities by ensuring waterway managers make informed decisions about river recreation.Read moreRead less
Optimising dissolved air flotation (DAF) for algae removal by bubble modification in drinking water and advanced wastewater systems. Algal blooms in potable water reservoirs and advanced wastewater treatment lagoons can impact the performance and economic viability of water treatment processes resulting in taste and odour episodes and the risk of algal toxins as well as causing further limitation to already stressed water resources in Australia. This project aims to develop an adaptation of the ....Optimising dissolved air flotation (DAF) for algae removal by bubble modification in drinking water and advanced wastewater systems. Algal blooms in potable water reservoirs and advanced wastewater treatment lagoons can impact the performance and economic viability of water treatment processes resulting in taste and odour episodes and the risk of algal toxins as well as causing further limitation to already stressed water resources in Australia. This project aims to develop an adaptation of the dissolved air flotation process that is already used for algae treatment that will provide a more robust, economic and sustainable barrier to algal cells in accordance with the Australian Drinking and Recycled Water Guidelines.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