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Field of Research : Civil Engineering
Australian State/Territory : NSW
Research Topic : Numerical Computation
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  • Researchers (17)
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  • Funded Activity

    Linkage Projects - Grant ID: LP140100873

    Funder
    Australian Research Council
    Funding Amount
    $428,000.00
    Summary
    Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivi .... Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivity. The emphasis is on producing optimal solutions for planning, design, erection, monitoring, dismantling, and relocation of scaffolding, so that productivity is maximised subject to satisfying required cost and safety constraints. The project aims to therefore secure long-term economic benefits by improving productivity and enhancing project performance.
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    Funded Activity

    Discovery Projects - Grant ID: DP0210837

    Funder
    Australian Research Council
    Funding Amount
    $183,000.00
    Summary
    Fuzzy finite element analysis of smart structures using concepts of optimization. The major aim of this research is to develop an innovative approach using fuzzy finite element method for the analysis and design of smart control systems for civil engineering structures subjected to vibrations due to earthquakes. The significance of this project is the proposal to combine, for the first time, techniques such as finite element, fuzzy logic and optimization in a unified manner. The final result wil .... Fuzzy finite element analysis of smart structures using concepts of optimization. The major aim of this research is to develop an innovative approach using fuzzy finite element method for the analysis and design of smart control systems for civil engineering structures subjected to vibrations due to earthquakes. The significance of this project is the proposal to combine, for the first time, techniques such as finite element, fuzzy logic and optimization in a unified manner. The final result will produce an efficient design tool for a structural system integrated with smart sensors/actuators for vibration control.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100806

    Funder
    Australian Research Council
    Funding Amount
    $160,014.00
    Summary
    Permeable Pavements with Concrete Surface Layers- Experimental and Theoretical Basis for Analysis and Design. Permeable pavements constitute unique and effective means to address important environmental issues and support green, sustainable growth. By capturing stormwater and allowing it to seep into the ground, porous pavements are instrumental in recharging groundwater, reducing stormwater runoff and preventing pollutants from entering the Australian river systems and sea-shores. Other advanta .... Permeable Pavements with Concrete Surface Layers- Experimental and Theoretical Basis for Analysis and Design. Permeable pavements constitute unique and effective means to address important environmental issues and support green, sustainable growth. By capturing stormwater and allowing it to seep into the ground, porous pavements are instrumental in recharging groundwater, reducing stormwater runoff and preventing pollutants from entering the Australian river systems and sea-shores. Other advantages for Australian communities that are associated with the construction of permeable pavement arise from their properties such as acoustic and thermal insulation due to the high void content of the material. Thus, permeable pavements improve on the living conditions in urban areas by reducing noise levels and preventing urban heat island effects.
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    Funded Activity

    Discovery Projects - Grant ID: DP140104156

    Funder
    Australian Research Council
    Funding Amount
    $286,000.00
    Summary
    Material properties and mechanical behaviours of carbon nanotube-reinforced composite structures. Polymer nanocomposites and their applications in advanced structures represent one of the most significant developments of composite materials and structures in the past decade. This project aims to quantify the equivalent material properties of effective individual carbon nanotube in polymer matrix, predict the mechanical properties of carbon nanotube reinforced polymer composites and optimise the .... Material properties and mechanical behaviours of carbon nanotube-reinforced composite structures. Polymer nanocomposites and their applications in advanced structures represent one of the most significant developments of composite materials and structures in the past decade. This project aims to quantify the equivalent material properties of effective individual carbon nanotube in polymer matrix, predict the mechanical properties of carbon nanotube reinforced polymer composites and optimise the mechanical behaviours of functionally graded carbon nanotube polymer composite structures through a multi-scale modelling and analytical approach. It will establish guidelines and strategies for design and development of high performance carbon nanotube-reinforced polymer composites and their functionally graded structures.
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    Funded Activity

    Australian Laureate Fellowships - Grant ID: FL100100063

    Funder
    Australian Research Council
    Funding Amount
    $1,423,222.00
    Summary
    An Innovative and Advanced Systems Approach for Full Life-Cycle, Low-Emissions Composite and Hybrid Building Infrastructure. This project will develop a 'green' sustainable composite steel-concrete building frame system that reduces greenhouse gas emissions throughout the life-cycle of building construction, usage and deconstruction. It will eliminate the use of ordinary Portland cement, which is a major carbon dioxide producer, by using geopolymer concrete made from fly-ash, and will use econom .... An Innovative and Advanced Systems Approach for Full Life-Cycle, Low-Emissions Composite and Hybrid Building Infrastructure. This project will develop a 'green' sustainable composite steel-concrete building frame system that reduces greenhouse gas emissions throughout the life-cycle of building construction, usage and deconstruction. It will eliminate the use of ordinary Portland cement, which is a major carbon dioxide producer, by using geopolymer concrete made from fly-ash, and will use economic thin-walled, high-strength steel sections. Deconstructability is provided through bolted joints and by using tensioned bolts as shear connectors between the steel skeleton and concrete flooring. This project is underpinned by the extensive background of the candidate, and provides a very timely solution to a major contemporary engineering challenge facing Australia.
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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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