Developing innovative concrete composites by upscaling material properties. This project aims to develop an upscaling process to correlate micro-nano properties of engineering materials to their comprehensive physicochemical properties based on systematic mechanical and statistical analysis approaches and nanoindentation technology. The process will enable assessing material mechanical and viscoelastic properties at a microscale level thus will generate a new knowledge in structural engineering ....Developing innovative concrete composites by upscaling material properties. This project aims to develop an upscaling process to correlate micro-nano properties of engineering materials to their comprehensive physicochemical properties based on systematic mechanical and statistical analysis approaches and nanoindentation technology. The process will enable assessing material mechanical and viscoelastic properties at a microscale level thus will generate a new knowledge in structural engineering discipline including health monitoring, assessment of existing structures, historical buildings, and strengthening and repairing materials in structures. The outcomes are a multiscale link model for upscaling material properties and a development of innovative reinforced concrete composites which are cost-effective and efficient.Read moreRead less
Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge o ....Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge of the structural behaviour of hybrid modular buildings, and expects to deliver design methods and robust simplified models for building design purposes. This project will advance construction techniques and practices for resilient hybrid modular buildings.Read moreRead less
Development of Novel Metaconcrete to Resist Impulsive Loads. This project aims to develop innovative metaconcrete for structural protection by utilising the concept of phononic crystals and metamaterials which has been recently developed by physicists. Traditional construction materials are used in new structural forms to mitigate dynamic loading effects by exploiting the unique characteristics of the proposed metaconcrete. Theoretical, numerical and experimental methods will be used to derive t ....Development of Novel Metaconcrete to Resist Impulsive Loads. This project aims to develop innovative metaconcrete for structural protection by utilising the concept of phononic crystals and metamaterials which has been recently developed by physicists. Traditional construction materials are used in new structural forms to mitigate dynamic loading effects by exploiting the unique characteristics of the proposed metaconcrete. Theoretical, numerical and experimental methods will be used to derive the best performing metaconcrete and verify its static and dynamic load resistant capacities. The expected outcomes of the project will lead to innovative extreme-loading resistant designs and provide significant benefit to the Australian construction industry, general public and economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100986
Funder
Australian Research Council
Funding Amount
$425,775.00
Summary
Blast Resistant Interlocking Brick Walls Using Engineered Waste Materials. This project aims to develop a next-generation building system integrated with robotic construction, using intelligent interlocking block units with hazard resistance, and sustainable engineered recycled plastic waste materials. It spans from discovery of using recycled waste materials to development of analysis and design methods for a new interlocking structure, as well as mitigation measures for blast resistance. The s ....Blast Resistant Interlocking Brick Walls Using Engineered Waste Materials. This project aims to develop a next-generation building system integrated with robotic construction, using intelligent interlocking block units with hazard resistance, and sustainable engineered recycled plastic waste materials. It spans from discovery of using recycled waste materials to development of analysis and design methods for a new interlocking structure, as well as mitigation measures for blast resistance. The successful implementation of this project will result in a technically, financially and environmentally sound structure form for the next-generation of robotic construction. This should lead to a revolution in construction that will substantially improve construction efficiency, quality and affordability.Read moreRead less
HyPoCrete: Hydrogen storage using an innovative concrete composite system. This project aims to develop an innovative polymer concrete composite system for the safe and efficient storage of hydrogen. New knowledge is expected to be generated on the novel use of polymer and concrete materials in hydrogen storage technologies. The expected outcomes include a new class of prefabricated, modular storage system that is highly efficient and low cost. The scalability and resilience of the system will b ....HyPoCrete: Hydrogen storage using an innovative concrete composite system. This project aims to develop an innovative polymer concrete composite system for the safe and efficient storage of hydrogen. New knowledge is expected to be generated on the novel use of polymer and concrete materials in hydrogen storage technologies. The expected outcomes include a new class of prefabricated, modular storage system that is highly efficient and low cost. The scalability and resilience of the system will be achieved by using concrete, a material widely used in the construction industry for its mechanical performance, durability and affordability. This should provide significant benefits in fostering the hydrogen economy by providing an efficient and resilient storage system for industrial quantities of hydrogen.Read moreRead less
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100019
Funder
Australian Research Council
Funding Amount
$664,580.00
Summary
Collaborative robotics for structural assembly and construction automation. Recent robotic technologies present great opportunity for construction industry to improve quality and productivity while no state of the art research infrastructure has been developed yet for this need. The proposed facility aims to provide a unique platform on research and development for structural assembly and construction automation. It
features by a flexible and adaptive design and instrumentation of structures and ....Collaborative robotics for structural assembly and construction automation. Recent robotic technologies present great opportunity for construction industry to improve quality and productivity while no state of the art research infrastructure has been developed yet for this need. The proposed facility aims to provide a unique platform on research and development for structural assembly and construction automation. It
features by a flexible and adaptive design and instrumentation of structures and space for a team of collaborative robotics in an interactive environment to achieve automated prefabrication, assembly and building. The outcomes are expected to transform current labor-intensive construction industry to highly automated and accurate manufacturing industry with significant benefits to economy and safety.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
Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less