Australian Laureate Fellowships - Grant ID: FL180100196
Funder
Australian Research Council
Funding Amount
$2,253,312.00
Summary
Development of multi-hazard resilient and sustainable infrastructure. This project aims to develop next generation construction of multi-hazard resilient structures for the safety and wellbeing of the public, society and economy, as well as structural health monitoring techniques for effective engineering asset management. Sustainable infrastructure development involves the use of green materials to reduce greenhouse gas emission, and new technologies to reduce construction and life-cycle mainte ....Development of multi-hazard resilient and sustainable infrastructure. This project aims to develop next generation construction of multi-hazard resilient structures for the safety and wellbeing of the public, society and economy, as well as structural health monitoring techniques for effective engineering asset management. Sustainable infrastructure development involves the use of green materials to reduce greenhouse gas emission, and new technologies to reduce construction and life-cycle maintenance cost. The project will use new green materials and techniques to prefabricate structural components which can be easily assembled and dismantled to meet the requirement for adaptation to technology advancement, urban planning and climate change. The project will advance the construction practice for sustainable infrastructure development.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
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
Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coasta ....Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coastal infrastructures and significantly reduce the loss of their capacities due to corrosion-induced damage. The development of ultra-high performance geopolymer concrete thin-walled structures is a significant engineering discovery, which is in line with the Australian government 2030 vision for sustainable development.Read moreRead less
Structural assembly for remote housing using fibre reinforced composites. This project aims to address construction challenges in remote housing by off-site manufacturing and on-site assembly using fibre reinforced composites and digital made-to-measure approach. Its goal is to generate interdisciplinary knowledge and practical technologies for reliable, affordable and durable housing in remote harsh environments. Intended results include innovative connections and systems with valuable understa ....Structural assembly for remote housing using fibre reinforced composites. This project aims to address construction challenges in remote housing by off-site manufacturing and on-site assembly using fibre reinforced composites and digital made-to-measure approach. Its goal is to generate interdisciplinary knowledge and practical technologies for reliable, affordable and durable housing in remote harsh environments. Intended results include innovative connections and systems with valuable understanding of their performances under various loading scenarios and accurate digital visualization for remote construction. The outcomes expect to unlock remote development, enhance our competitive strengths for manufacturing and construction industries, and further offer new solutions in post-disaster recovery applications.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