An Integrated Bridge Monitoring System Based on the GPS and Pseudolite Technologies. Global Positioning System (GPS) technology can be used for precise deflection measurement of manmade structures such as buildings, bridges, etc. When integrated with additional signals from pseudolites (PL) that transmit GPS-like signals, changes in the height(s) of the monitored point(s) can be measured to millimetre accuracy. In collaboration with University of Nottingham researchers, a bridge structure in the ....An Integrated Bridge Monitoring System Based on the GPS and Pseudolite Technologies. Global Positioning System (GPS) technology can be used for precise deflection measurement of manmade structures such as buildings, bridges, etc. When integrated with additional signals from pseudolites (PL) that transmit GPS-like signals, changes in the height(s) of the monitored point(s) can be measured to millimetre accuracy. In collaboration with University of Nottingham researchers, a bridge structure in the U.K. will be used as a testbed, and will be the first time that PLs have been used for such an application. The expected outcomes include a suite of deformation monitoring algorithms capable of online analysis of the combined GPS-PL outputs.Read moreRead less
Mitigating the Severity of Level Crossing Accidents and Derailments. Ongoing increases in the number of level crossings and heavy road vehicles cause more frequent and severe level crossing accidents and derailments. Despite the use of active warning systems, each year, on average, 100 level crossing accidents occur in Australia. With a view to mitigating these crashes, this research aims to formulate theories for reduction in crash energy and effective wheel constraints to prevent derailment by ....Mitigating the Severity of Level Crossing Accidents and Derailments. Ongoing increases in the number of level crossings and heavy road vehicles cause more frequent and severe level crossing accidents and derailments. Despite the use of active warning systems, each year, on average, 100 level crossing accidents occur in Australia. With a view to mitigating these crashes, this research aims to formulate theories for reduction in crash energy and effective wheel constraints to prevent derailment by modifying the levels of road and rail crossings and providing guard rails in the recesses of these modified level crossings. The theories are intended be developed using nonlinear dynamic computational methods and laboratory experiments. The outcomes are expected to enable reduction in the severity of level crossing accidents and hence save lives and costs of derailment.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
Fate of engineered nanoparticles: Challenges in informing human and ecological health risk assessments. Engineered nanoparticles (ENPs) have generated significant public and scientific excitement due to their unique properties. This has led to their application in a wide variety of industries (for example, in composite materials and drug delivery). However, there is concern that some ENPs can have detrimental environmental impacts. This project aims to quantify, for the first time, the fate of E ....Fate of engineered nanoparticles: Challenges in informing human and ecological health risk assessments. Engineered nanoparticles (ENPs) have generated significant public and scientific excitement due to their unique properties. This has led to their application in a wide variety of industries (for example, in composite materials and drug delivery). However, there is concern that some ENPs can have detrimental environmental impacts. This project aims to quantify, for the first time, the fate of ENPs that have leached out of commercial products in groundwater systems. This information is expected to assist regulators in developing appropriate legislation to balance the tremendous benefits and potential risks of nanotechnology.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL190100014
Funder
Australian Research Council
Funding Amount
$2,871,982.00
Summary
New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an ....New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an unprecedented cloud-based interactive design tool, and a novel minimum-waste manufacturing technology for fabricating mass-customised building components. This project will transform the architecture, engineering and construction (AEC) sector and make the Australian manufacturing industry more competitive globally.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
Internal wave energetics, mixing and transport in lakes. The aim of this project is to increase our understanding of the physical processes controlling water quality in lakes. Water supplies world-wide are under increasing pressure from development, usually resulting in decreasing water quality. The biology and chemistry in lakes is controlled primarily by physical processes, and so understanding these processes is crucial to managing water quality in lakes and reservoirs. The outcomes of this p ....Internal wave energetics, mixing and transport in lakes. The aim of this project is to increase our understanding of the physical processes controlling water quality in lakes. Water supplies world-wide are under increasing pressure from development, usually resulting in decreasing water quality. The biology and chemistry in lakes is controlled primarily by physical processes, and so understanding these processes is crucial to managing water quality in lakes and reservoirs. The outcomes of this project will be improved tools for the management of these water resources, as all the research findings will be incorporated into already existing numerical models for lake management.Read moreRead less
Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While th ....Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While this risk is poorly understood, it could significantly affect the long-term reliability of water supply and potable water treatment costs. Addressing this knowledge gap is expected to develop effective management responses to ensure the long term sustainable use of these water resources.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