Industrial Transformation Research Hubs - Grant ID: IH200100010
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Transformation of Reclaimed Waste Resources to Engineered Materials and Solutions for a Circular Economy. This project aims to create new knowledge to reduce waste going to landfills and transform reclaimed waste into new materials for use in construction and other manufacturing sectors. It integrates multisector input and multidisciplinary academic research to address ten challenging waste streams. Expected outcomes are smart materials, socio-technical change, accelerated t ....ARC Research Hub for Transformation of Reclaimed Waste Resources to Engineered Materials and Solutions for a Circular Economy. This project aims to create new knowledge to reduce waste going to landfills and transform reclaimed waste into new materials for use in construction and other manufacturing sectors. It integrates multisector input and multidisciplinary academic research to address ten challenging waste streams. Expected outcomes are smart materials, socio-technical change, accelerated testing methods, predictive modeling, circular life cycle costing and a trusted evidence base. Outcomes will lead to commercial benefits as well as jobs and a significant contribution to addressing the pressing environmental impacts of waste production, management, and re-use.Read moreRead less
Sustainable planting of trees in suburban environments on shrinkable clays. Sustainable planting of trees in suburban environments on shrinkable clays. This project aims to develop a rational and reliable model to reduce the risk of damage to structures and increase tree plantings in suburban environments. Trees are vital to urban environmental sustainability, but local government, house-owners, engineers and the building industry are concerned about building damage and settlement from tree root ....Sustainable planting of trees in suburban environments on shrinkable clays. Sustainable planting of trees in suburban environments on shrinkable clays. This project aims to develop a rational and reliable model to reduce the risk of damage to structures and increase tree plantings in suburban environments. Trees are vital to urban environmental sustainability, but local government, house-owners, engineers and the building industry are concerned about building damage and settlement from tree root drying. If tree water needs and patterns of moisture extraction were predictable, house footings could be designed reliably. This research will provide such understanding through field experiments on suburban sites with trees, investigating damaged structures and numerical modelling. An anticipated outcome of this research is to develop a rational and reliable model to reduce the risk of damage to structures and increase tree plantings in suburban environments. Guidelines for both footing designers and local government.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
Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This ....Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This will lead to better criteria for soil erosion and numerical tools for field scale failure analysis and risk assessments. The expected outcomes of this project include enhanced capability to assess the integrity and stability of earth structures and better design criteria against erosion.Read moreRead less
On-line monitoring of cyanobacteria to predict coagulant doses and powdered activated carbon application in water treatment. Cyanobacteria, more commonly known as blue-green algae, can impact water quality by releasing toxins that can be harmful to human health and imparting unpleasant taste and odours to the water. This project will support the water industry in managing these risks by providing a rapid, on-line tool to assist in their removal during water treatment.