Paving the way to greener roads and healthier waterways. Waste tyre permeable pavement is emerging as an effective stormwater surge mitigation solution. Yet, its behaviour under traffic loads and varied environmental conditions are not fully understood which undermines industry confidence in this technology. This project aims to advance the engineering of waste tyre permeable pavements by creating new knowledge on their mechanical and hydrological performance. The project will develop design gui ....Paving the way to greener roads and healthier waterways. Waste tyre permeable pavement is emerging as an effective stormwater surge mitigation solution. Yet, its behaviour under traffic loads and varied environmental conditions are not fully understood which undermines industry confidence in this technology. This project aims to advance the engineering of waste tyre permeable pavements by creating new knowledge on their mechanical and hydrological performance. The project will develop design guidelines, identify the governing mechanisms and develop a performance prediction framework based on laboratory and field tests, and advanced numerical modelling. The mechanisms of performance from micro to macro level will be identified, generating knowledge for industry to support widespread uptake.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less
Next-generation smart water network for performance-driven asset management. This project aims to develop smart water network systems and techniques for continuous monitoring and early detection of structural failure in water distribution systems. Water assets are critical infrastructure, and they consist of a network of buried pipes that are old and deteriorating, with an annual maintenance overhead exceeding $1billion per year in Australia. This project is expected to deliver next-generation s ....Next-generation smart water network for performance-driven asset management. This project aims to develop smart water network systems and techniques for continuous monitoring and early detection of structural failure in water distribution systems. Water assets are critical infrastructure, and they consist of a network of buried pipes that are old and deteriorating, with an annual maintenance overhead exceeding $1billion per year in Australia. This project is expected to deliver next-generation smart water technology that enables continuous assessment of the actual performance of water pipe networks, guide “just in time” pipe replacement and optimise operations. This technology will assist asset managers to make informed decisions, strategically prioritise investment and extend asset life.Read moreRead less
Smart Pipe Condition Assessment in Water Distribution Systems. The project aims to develop an urgently needed smart pipe fault diagnosis, characterisation and prognosis system. Analysis techniques will be used for the detailed mapping of buried pipe condition between access points using micro-sized transient pressure waves. Water assets are critical infrastructure and they consist of a network of pipes that are often old and deteriorating. The annual maintenance cost exceeds $1b per year in Aus ....Smart Pipe Condition Assessment in Water Distribution Systems. The project aims to develop an urgently needed smart pipe fault diagnosis, characterisation and prognosis system. Analysis techniques will be used for the detailed mapping of buried pipe condition between access points using micro-sized transient pressure waves. Water assets are critical infrastructure and they consist of a network of pipes that are often old and deteriorating. The annual maintenance cost exceeds $1b per year in Australia. The outcome will be a next-generation tool that allows water utilities to move from reactive emergency repairs to proactive repair and predictive replacement. This will enable performance-driven asset management, extending asset life and replacing deteriorated high-risk pipe sections in a timely manner.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
Wall turbulence control: beyond the canonical smooth wall case. This project aims to fill a critical knowledge gap in the area of wall turbulence by investigating how a rough wall turbulent boundary layer responds to changes, such as wall suction and blowing. The economic and environmental costs caused by the roughening of surfaces on moving vehicles is staggering in the transport industry (roads, rails, air and sea) and ultimately for Australia. This project will generate new knowledge to ascer ....Wall turbulence control: beyond the canonical smooth wall case. This project aims to fill a critical knowledge gap in the area of wall turbulence by investigating how a rough wall turbulent boundary layer responds to changes, such as wall suction and blowing. The economic and environmental costs caused by the roughening of surfaces on moving vehicles is staggering in the transport industry (roads, rails, air and sea) and ultimately for Australia. This project will generate new knowledge to ascertain whether or not turbulent flows over rough surfaces can be controlled or managed to achieve outcomes such as reducing the drag of a roughened bluff body, for example a ship whose hull is roughened by fouling. The project expects to improve understanding of wall turbulence control, and will lead to significant benefits such as improved control technologies and better prediction and description of wall turbulence.Read moreRead less
Assessing Water Supply Security in a Nonstationary Environment. About 25% of the global population currently has inadequate access to safe and secure water. This number is expected to rise to 50% by 2050 due to increased populations and reduced river flows. While a visible water crisis (such as the one in Cape Town in 2018) can culminate in the funding of new water supply infrastructure, a planned push for infrastructure augmentation often stalls due to contradictory projections of how much wate ....Assessing Water Supply Security in a Nonstationary Environment. About 25% of the global population currently has inadequate access to safe and secure water. This number is expected to rise to 50% by 2050 due to increased populations and reduced river flows. While a visible water crisis (such as the one in Cape Town in 2018) can culminate in the funding of new water supply infrastructure, a planned push for infrastructure augmentation often stalls due to contradictory projections of how much water will be available in the future. To address this, a novel alternative for assessing water security is proposed. Our approach assesses change using historical information on river flow and water demand, adapting these to form projections that exhibit greater reliability than currently existing alternatives.Read moreRead less
AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in d ....AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.Read moreRead less
Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe co ....Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe condition using new innovative active hydro-acoustic signal generators and sensors, combined with state-of-the-art signal analysis methods. The unprecedented cost-effectiveness of the technology will ensure a broad use in the water industry for targeted and efficient action, creating jobs and saving costs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100661
Funder
Australian Research Council
Funding Amount
$426,551.00
Summary
Nanoparticle with Metal Organic Framework for Lithium Recovery from Brine. The project aims to develop technology enabling lithium to be cost-effectively extracted from brine. Today Australia meets the increasing demand for lithium by mining hardrock lithium, an environmentally damaging activity. An alternative is to source lithium from brine produced as industrial wastewater (in desalination or shale gas production). The main challenge that brine presents to selectively extracting lithium is co ....Nanoparticle with Metal Organic Framework for Lithium Recovery from Brine. The project aims to develop technology enabling lithium to be cost-effectively extracted from brine. Today Australia meets the increasing demand for lithium by mining hardrock lithium, an environmentally damaging activity. An alternative is to source lithium from brine produced as industrial wastewater (in desalination or shale gas production). The main challenge that brine presents to selectively extracting lithium is competing ions. By advancing knowledge of nanomaterials and membrane distillation, the project expects to overcome both this technical challenge and other practical challenges. From wastewater, the anticipated system will produce additional clean water and a valuable commodity that can offset the cost of water treatment. Read moreRead less