Economical Particleboard Product from Hardwood Sawmill Waste for Domestic and Industrial Applications. The proposed project is aimed at developing a methodology to produce particleboard using hardwood saw-mill residue. Currently, 20% of logs used to produce sawn hardwood are disposed of by burning or as fertiliser. Using innovative concepts of high-moisture pressing and understanding composite material behaviour and internal dynamics during hot-pressing of particleboard, the proposed project wil ....Economical Particleboard Product from Hardwood Sawmill Waste for Domestic and Industrial Applications. The proposed project is aimed at developing a methodology to produce particleboard using hardwood saw-mill residue. Currently, 20% of logs used to produce sawn hardwood are disposed of by burning or as fertiliser. Using innovative concepts of high-moisture pressing and understanding composite material behaviour and internal dynamics during hot-pressing of particleboard, the proposed project will have a significant potential for revolutionising particleboard technology. Outcomes will be a significant contribution towards sustainability of the Australian Timber Industry and the environment by reducing logging for custom flaked softwood chips, which will be of significant benefit to regional and rural communities as well.Read moreRead less
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
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
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
The Development of a Hybrid Energy Simulation Model for Masonry Enclosures. This project aims to develop and validate a hybrid energy simulation model for assessing the thermal performance of masonry enclosures. The model will combine the zonal and computational fluid dynamics modelling techniques into a fully integrated computational tool. Once validated, the proposed model will be employed to evaluate the thermal performance of a wide range of wall designs taking into account the Australian cl ....The Development of a Hybrid Energy Simulation Model for Masonry Enclosures. This project aims to develop and validate a hybrid energy simulation model for assessing the thermal performance of masonry enclosures. The model will combine the zonal and computational fluid dynamics modelling techniques into a fully integrated computational tool. Once validated, the proposed model will be employed to evaluate the thermal performance of a wide range of wall designs taking into account the Australian climatic conditions, construction practices and typical residential developments. The results will be then employed to modify and refine the existing wall designs and develop optimum masonry walling system(s) that are well suited for the Australian climatic conditions.Read moreRead less
Experimental Modelling of Masonry Buildings' Thermal Performance. Mathematical modelling of the thermal performance of buildings has been identified as one of the key technologies necessary for designing energy-efficient buildings. The aim of this project is to develop an experimental model of the thermal response of typical masonry enclosures by establishing relationships between input and output measurements from several full-scale test houses rather than relying on conservation principles. On ....Experimental Modelling of Masonry Buildings' Thermal Performance. Mathematical modelling of the thermal performance of buildings has been identified as one of the key technologies necessary for designing energy-efficient buildings. The aim of this project is to develop an experimental model of the thermal response of typical masonry enclosures by establishing relationships between input and output measurements from several full-scale test houses rather than relying on conservation principles. Once validated, the proposed model will be employed to evaluate the thermal performance of a wide range of walling systems. This should lead to an improved understanding of mechanisms influencing the thermal behaviour of masonry enclosures under Australian climatic conditions.Read moreRead less