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
Discovery Early Career Researcher Award - Grant ID: DE120100960
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Simulation and characterisation of the packing of uniform non-spherical particles. The effect of particle shape on the packing of uniform particles is a fundamental problem in the study of granular materials and is also related to other important scientific problems. This project aims to solve this problem by an innovative computer simulation method, using virtual but insightful numerical results to build solid theories.
Industrial Transformation Training Centres - Grant ID: IC200100001
Funder
Australian Research Council
Funding Amount
$4,879,415.00
Summary
ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. The Centre aims to build the human and technical capability Australia needs to underpin our global competitiveness in advanced manufacturing. The Centre will unite manufacturing businesses, including SMEs, and universities to develop collaborative robotics applications which combine the strengths of humans and robots in shared work environments. The Centre will train researchers, engineers, technologists and manufacturing ....ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. The Centre aims to build the human and technical capability Australia needs to underpin our global competitiveness in advanced manufacturing. The Centre will unite manufacturing businesses, including SMEs, and universities to develop collaborative robotics applications which combine the strengths of humans and robots in shared work environments. The Centre will train researchers, engineers, technologists and manufacturing leaders with the expertise industry needs to boost safety, quality assurance, production efficiency, and workforce readiness. The intended outcome is to support Australian manufacturers to shift toward higher-potential markets, compete globally and attract and retain a digitally-capable workforce for the future.Read moreRead less
Micromechanic modelling and analysis of the dynamics of non-spherical particles coupled with fluid flow. This project aims to develop advanced theories and mathematical models to describe the packing and flow of non-spherical particles coupled with fluid flow. This will be achieved through a combined theoretical and experimental program, involving the use of advanced discrete particle simulation and detailed analysis of packing/flow structures, particle-particle and particle-fluid interactions a ....Micromechanic modelling and analysis of the dynamics of non-spherical particles coupled with fluid flow. This project aims to develop advanced theories and mathematical models to describe the packing and flow of non-spherical particles coupled with fluid flow. This will be achieved through a combined theoretical and experimental program, involving the use of advanced discrete particle simulation and detailed analysis of packing/flow structures, particle-particle and particle-fluid interactions at a particle scale. Research outcomes including theories, computer models and simulation techniques will be applied to representative industrial operations of importance to Australia's economic and technological future.Read moreRead less
Low emission iron and steelmaking using hydrogen to pre-reduce lump ore. This project aims to develop and apply a new route of lump iron ore pre-reduction with hydrogen or H2-enriched gases for ironmaking to minimise CO2 emission from steel production. The route will be built up on the base of H2 reduction kinetics of iron ore and with novel technologies such as CO2 recycle and H2-heating using hot blast, underpinning the hydrogen economy by addressing the environmental concerns in mineral and s ....Low emission iron and steelmaking using hydrogen to pre-reduce lump ore. This project aims to develop and apply a new route of lump iron ore pre-reduction with hydrogen or H2-enriched gases for ironmaking to minimise CO2 emission from steel production. The route will be built up on the base of H2 reduction kinetics of iron ore and with novel technologies such as CO2 recycle and H2-heating using hot blast, underpinning the hydrogen economy by addressing the environmental concerns in mineral and steel industries. It is not only significant for low-carbon steel production, but also for better fundamental understanding to develop the future zero-emission iron and steelmaking with hydrogen. The project will be very beneficent because it increases the use of lump iron ore and expends Australian export of iron ores.Read moreRead less
The development of novel and tunable metamaterials. Metamaterials are designed materials with properties that cannot be found in nature. This project uses a new disruptive design that allows broadband metamaterials to be made using mass production techniques. The design opens up a range of new applications in environmental and medical sensing, improved security screening and active devices.
Engineering improved technology for nanoparticle-based adjuvant manufacture. Over the next decade nanotechnology will redefine vaccines for animal and human health. Nanoparticle adjuvants will boost engineered vaccines that use minimal antigens such as recombinant proteins and synthetic peptides. This project aims to develop a platform technology for making and controlling the properties of inulin nanoparticles by optimising the engineering and manufacturing aspects of inulin nanoparticles to fu ....Engineering improved technology for nanoparticle-based adjuvant manufacture. Over the next decade nanotechnology will redefine vaccines for animal and human health. Nanoparticle adjuvants will boost engineered vaccines that use minimal antigens such as recombinant proteins and synthetic peptides. This project aims to develop a platform technology for making and controlling the properties of inulin nanoparticles by optimising the engineering and manufacturing aspects of inulin nanoparticles to fundamentally understand the relationship between physical-chemical properties and efficacy. Completion of this project aims to produce potent nanoparticle-based adjuvants underpinned by novel manufacturing technology, to ultimately facilitate the development of more effective and protective vaccines for animals and humans.Read moreRead less
Improved models of nanoporous carbons for greater fundamental insight and better sustainable technology. Storage of hydrogen and energy from intermittent sources like solar and wind, and 'carbon capture' from coal-fired power stations are essential requirements for a sustainable future. A state-of-the-art computer model will be developed and demonstrated to help deliver these and other technologies for a safe and sustainable future.
Industrial Transformation Research Hubs - Grant ID: IH210100030
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The ex ....ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The expected outcomes are robots with the ability to autonomously collect data for integration into a digital twin that provides a real-time representation of the true state of a physical asset. The benefits include both improved asset management and establishing Australia as a leading manufacturer of advanced robotic systems.Read moreRead less
Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cos ....Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cost, portable devices for the analysis of exosomes and exosomal miRNA in biological samples. The future development of this technology into diagnostic devices will improve patient outcomes by enabling earlier disease diagnosis and improved monitoring of treatment.Read moreRead less