Industrial Transformation Research Hubs - Grant ID: IH220100002
Funder
Australian Research Council
Funding Amount
$4,999,700.00
Summary
ARC Research Hub for Fire Resilience Infrastructure, Assets and Safety Advancements (FRIASA) in Urban, Resources, Energy and Renewables Sectors . This Hub aims to develop, manufacture and deploy next generation technologies and solutions that will protect Australia’s critical infrastructure and assets against major natural and man-made fires. The Hub expects to position Australia as a powerhouse of fire readiness by developing end-to-end integrated systems of advanced engineering and digital te ....ARC Research Hub for Fire Resilience Infrastructure, Assets and Safety Advancements (FRIASA) in Urban, Resources, Energy and Renewables Sectors . This Hub aims to develop, manufacture and deploy next generation technologies and solutions that will protect Australia’s critical infrastructure and assets against major natural and man-made fires. The Hub expects to position Australia as a powerhouse of fire readiness by developing end-to-end integrated systems of advanced engineering and digital technologies which will allow industry to improve fire safety training and operations with significant benefits. Expected outcomes include advanced manufacturing capacity for fire resilience and sustainable products, strategic partnerships and commercialisation pathways and opportunities by translating R&D into economic benefits such as jobs and new exports for local and international markets.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
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
Industrial Transformation Training Centres - Grant ID: IC230100015
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Whole Life Design of Carbon Neutral Infrastructure. This Centre aims to transform the capability of civil infrastructure stakeholders to design, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon of infrastructure in its whole life, this Centre expects to lead the world in sustainable infrastructure design, enabling a new generation ....ARC Training Centre for Whole Life Design of Carbon Neutral Infrastructure. This Centre aims to transform the capability of civil infrastructure stakeholders to design, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon of infrastructure in its whole life, this Centre expects to lead the world in sustainable infrastructure design, enabling a new generation of infrastructure design in Australia and internationally. Achieving carbon neutral infrastructure in its whole life will bring significant far-reaching benefits, including equipping industry with tools required to meet Australia’s emission reduction targets as well as economic, commercial, environmental, and social gains.Read moreRead less
Lunar crustal structure from high-res gravity, topography, and seismic data. This project aims to improve our knowledge of the Moon, including its surface processes, interior structure, modification by geological processes and creation and evolution. The Moon preserves the longest and cleanest records of surface geology in the Solar System’s history, unlike the Earth. The lunar crust should exhibit strong heterogeneity in density (both porosity and composition) given its complex history of impac ....Lunar crustal structure from high-res gravity, topography, and seismic data. This project aims to improve our knowledge of the Moon, including its surface processes, interior structure, modification by geological processes and creation and evolution. The Moon preserves the longest and cleanest records of surface geology in the Solar System’s history, unlike the Earth. The lunar crust should exhibit strong heterogeneity in density (both porosity and composition) given its complex history of impact bombardment and volcanism. This project aims to determine radial and lateral heterogeneity in density and porosity within the Moon's crust, by analysing Gravity Recovery And Interior Laboratory gravity and spacecraft tracking data, Lunar Orbiter Laser Altimeter topography and in situ Apollo seismological data.Read moreRead less
A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th ....A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.Read moreRead less
A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on health ....A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on healthy spinal disc cells. We expect our technological framework to become an invaluable tool for biomedical engineers, biologists, and bio-engineers to work together and generate clinically relevant in-vitro data that supports optimisation for spinal implant design, fabrication, and safety. Read moreRead less
Understanding vibratory piles in sand: installation and lateral response. This project aims to address uncertainties in the design of vibro-driven piles. This promising alternative to impact-driven piles offers faster installation and requires no noise mitigation. The project expects to generate new knowledge of the effect of the installation process in sand on in-service pile response by integrating findings from innovative experiments and numerical modelling. This is particularly important for ....Understanding vibratory piles in sand: installation and lateral response. This project aims to address uncertainties in the design of vibro-driven piles. This promising alternative to impact-driven piles offers faster installation and requires no noise mitigation. The project expects to generate new knowledge of the effect of the installation process in sand on in-service pile response by integrating findings from innovative experiments and numerical modelling. This is particularly important for highly sensitive structures such as offshore wind turbines, which provide a rapidly increasing share of global energy supply. Expected outcomes include practical recommendations for vibro-piles in sand. This should provide sizeable benefits by unlocking vibro-piles as a viable method to reduce offshore wind farm costs.Read moreRead less
Foundations for offshore wind turbines in Australian carbonate seabed soils. This projects aims to enable performance prediction of foundations for offshore wind turbines in the challenging carbonate sandy sediments which are prevalent offshore Australia. This is significant for an emerging industry with each project costing tens of billions of dollars and foundations accounting for a quarter of the development cost. This project expects to provide guidance for these complex different soil condi ....Foundations for offshore wind turbines in Australian carbonate seabed soils. This projects aims to enable performance prediction of foundations for offshore wind turbines in the challenging carbonate sandy sediments which are prevalent offshore Australia. This is significant for an emerging industry with each project costing tens of billions of dollars and foundations accounting for a quarter of the development cost. This project expects to provide guidance for these complex different soil conditions that is based on advanced understanding obtained from innovative experimental and numerical techniques. Expected outcomes include de-risking through significantly reduced uncertainties. This research should therefore lead to significant economic and societal benefits of affordable clean energy and generation of jobs.Read moreRead less