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Field of Research : Civil Engineering
Research Topic : Waste
Australian State/Territory : VIC
Australian State/Territory : NSW
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  • Researchers (7)
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP160101561

    Funder
    Australian Research Council
    Funding Amount
    $630,000.00
    Summary
    Evaluating potential static liquefaction of tailings to prevent failures. This project aims to reduce risk in the mining industry from failing mine tailings by producing a methodology for predicting the susceptibility of these tailings to static liquefaction. The impact of a mine tailing failure is catastrophic to the downstream community. The project brings together a number of industry partners committed to assisting with verification and adoption of characterisation and designed tools develop .... Evaluating potential static liquefaction of tailings to prevent failures. This project aims to reduce risk in the mining industry from failing mine tailings by producing a methodology for predicting the susceptibility of these tailings to static liquefaction. The impact of a mine tailing failure is catastrophic to the downstream community. The project brings together a number of industry partners committed to assisting with verification and adoption of characterisation and designed tools development in this project. This proposal will integrate results from laboratory element, centrifuge and calibration chamber tests with numerical modelling and in-situ tests to produce a methodology for predicting the susceptibility to static liquefaction.
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    Funded Activity

    Linkage Projects - Grant ID: LP170100072

    Funder
    Australian Research Council
    Funding Amount
    $354,342.00
    Summary
    Harnessing renewable energy from low-carbon geothermal pavements. This project aims to investigate the extraction of renewable energy from new pavements constructed with low-carbon recycled demolition wastes. The proposed research will generate new knowledge on the thermo-geomechanical responses of pavements when harvesting heat energy under dynamic loads, using experimental and numerical approaches, including field trials. The outcomes and benefits will include strategic long-term collaboration .... Harnessing renewable energy from low-carbon geothermal pavements. This project aims to investigate the extraction of renewable energy from new pavements constructed with low-carbon recycled demolition wastes. The proposed research will generate new knowledge on the thermo-geomechanical responses of pavements when harvesting heat energy under dynamic loads, using experimental and numerical approaches, including field trials. The outcomes and benefits will include strategic long-term collaboration with industry to develop ‘Geothermal Pavements’, with potential for commercial applications. The translation of this research will contribute to meeting future energy needs, while significantly reducing carbon emissions and diverting demolition wastes from landfills.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220103833

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive pla .... Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive plant-soil-based biofilters for cost-effective removal of nitrogen from a range of polluted urban water sources. The project will open a potential for a new technological advancements in urban water management, while simultaneously providing benefits to the environment and community through greening and waterway protection.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100168

    Funder
    Australian Research Council
    Funding Amount
    $458,000.00
    Summary
    Three-dimensional concrete printing facility. This project aims to develop concrete types of construction materials and structural forms. Three-dimensional concrete printing is a process for construction automation, and adapting recent advances in Additive Manufacturing technologies makes rapid progress possible. However, unsuitable concrete and structural designs and a lack of underpinning material and structural research hamper development. The project will test material properties, fabricatio .... Three-dimensional concrete printing facility. This project aims to develop concrete types of construction materials and structural forms. Three-dimensional concrete printing is a process for construction automation, and adapting recent advances in Additive Manufacturing technologies makes rapid progress possible. However, unsuitable concrete and structural designs and a lack of underpinning material and structural research hamper development. The project will test material properties, fabrication technologies and structural design concepts; and build and test freeform concrete structures. Achieving construction automation is expected to reduce injury rates by eliminating dangerous jobs, create high-end technology-based jobs, and make concrete construction cheaper by eliminating formwork.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220103043

    Funder
    Australian Research Council
    Funding Amount
    $352,000.00
    Summary
    A Green and Fire-resistant Magnesium Oxychloride Cementitious Composite . This project aims to develop a novel and green fibre reinforced magnesium oxychloride cementitious composite with durability and resilience for buildings subject to fire/bushfire attack via well-integrated multiscale numerical and experimental studies. This enhances integrity and safety of buildings and increases the energy efficiency for buildings. The project will significantly advance the research and application of gre .... A Green and Fire-resistant Magnesium Oxychloride Cementitious Composite . This project aims to develop a novel and green fibre reinforced magnesium oxychloride cementitious composite with durability and resilience for buildings subject to fire/bushfire attack via well-integrated multiscale numerical and experimental studies. This enhances integrity and safety of buildings and increases the energy efficiency for buildings. The project will significantly advance the research and application of green cement, and find a solution for recycle and reuse a large amount of waste/industry by-products in construction towards circular economy. The research outcomes are innovative material, models, experiment technology and modelling methods, with significant impact and benefits to environment, economy and society.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210200765

    Funder
    Australian Research Council
    Funding Amount
    $372,893.00
    Summary
    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.
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    Showing 1-6 of 6 Funded Activites

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