Assessment of structural integrity and deterioration of masonry walls. Brickwork for housing and medium-rise buildings is a traditional material, also much used for modern construction, with aesthetic appeal and modest cost. However, building regulators and others are increasingly concerned about evidence of slow building deterioration, particularly of older buildings. This increases public safety risks, even under normal conditions and more so under high winds or earthquake-induced ground-shaki ....Assessment of structural integrity and deterioration of masonry walls. Brickwork for housing and medium-rise buildings is a traditional material, also much used for modern construction, with aesthetic appeal and modest cost. However, building regulators and others are increasingly concerned about evidence of slow building deterioration, particularly of older buildings. This increases public safety risks, even under normal conditions and more so under high winds or earthquake-induced ground-shaking. This project will help address this issue. It will obtain unbiased evidence of typical masonry building deterioration. It will couple this with mathematical modelling and state-of-the-art non-destructive visual and dynamic techniques to develop tools for making fast, low-cost practical building risk assessments.Read moreRead less
Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertaint ....Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertainties. This project intends to ease the current scientific data interpretation bottleneck. Expected outcomes are better infrastructure management and maintenance planning, fewer redundant interventions, modified infrastructure and improved future design.Read moreRead less
Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade ....Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade tiles or panels, laser sensing technology, deep learning algorithms and drone technology. Outcomes of this project are critical for implementing the new technology for enhanced safety to community and the development of new procedures for driving down maintenance costs of the external façade of high-rise buildings.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100909
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Innovative Soft-computing for Condition Assessment of Large Infrastructure. Health conditions of large infrastructure, such as bridges, have been difficult to determine due to their large scales, associated incomplete data and high uncertainties in measurement and system identification. This project will develop an innovative condition assessment method based on the advancements in structural dynamics analysis, multi-objective topology and soft-computing techniques, for reliably evaluating the h ....Innovative Soft-computing for Condition Assessment of Large Infrastructure. Health conditions of large infrastructure, such as bridges, have been difficult to determine due to their large scales, associated incomplete data and high uncertainties in measurement and system identification. This project will develop an innovative condition assessment method based on the advancements in structural dynamics analysis, multi-objective topology and soft-computing techniques, for reliably evaluating the health conditions of large infrastructure. The outcomes will enhance the current practices in infrastructure asset management to deliver timely retrofitting and extended life cycle. The development will provide benefits to Australia by enhancing operational efficiency and preventing catastrophic failure of infrastructure.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
A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation ....A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation algorithm for collaborative planning. The project outcomes are expected to secure long-term economic benefits by enhancing performance in complex projects.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL220100082
Funder
Australian Research Council
Funding Amount
$3,450,896.00
Summary
My Air Space: the Science of Buildings that Make us Thrive. Nothing is more necessary in human life than the air we breathe, mostly indoors where air quality has been relatively overlooked. This project aims to deliver new science and technology as a foundation for optimising indoor atmospheres to improve health, wellbeing, and comfort. Expected outcomes include innovative, efficient, low-cost diagnostic sensing of indoor atmospheres and human–space interactions, real-time detection of airborne ....My Air Space: the Science of Buildings that Make us Thrive. Nothing is more necessary in human life than the air we breathe, mostly indoors where air quality has been relatively overlooked. This project aims to deliver new science and technology as a foundation for optimising indoor atmospheres to improve health, wellbeing, and comfort. Expected outcomes include innovative, efficient, low-cost diagnostic sensing of indoor atmospheres and human–space interactions, real-time detection of airborne pathogens and particles that host them, and cost-effective localised conditioning of spaces for comfort at points of actual use. Benefits should be seen in areas of health, productivity, reduced energy use, and new industries for the design, modernising, and operation of buildings across Australia and beyond.Read moreRead less
Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenan ....Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenance costs $21 billion annually, but the outcome of this project is expected to save $65 to $130 million annually through data harmonisation. This project is at the leading edge of information management for roads and is expected to change several international standards.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100123
Funder
Australian Research Council
Funding Amount
$427,318.00
Summary
Digital Twin to Manage Safety in Large-scale Transport Infrastructure Asset. This project aims to improve safety during the construction of transport assets by integrating the Internet of Things with image processing technologies to develop a digital twin framework. The developed framework will provide the construction organisations with the ability to create strategies and solutions needed to improve the safety of construction in real-time. The outcomes of this project will aid effective decisi ....Digital Twin to Manage Safety in Large-scale Transport Infrastructure Asset. This project aims to improve safety during the construction of transport assets by integrating the Internet of Things with image processing technologies to develop a digital twin framework. The developed framework will provide the construction organisations with the ability to create strategies and solutions needed to improve the safety of construction in real-time. The outcomes of this project will aid effective decision-making and thus enable the managerial actions required to eliminate workplace accidents. Improving safety performance not only augments productivity but also allows the economic and social benefits of transport infrastructure assets to be realised.Read moreRead less
Modelling complex learning spaces. The growing use of digital tools and resources means that students' learning activities are no longer tied to unique physical places. Their work is distributed across increasingly complex mixtures of physical and digital spaces, which both shape and are shaped by students' activity. This project aims to identify productive ways of modelling the characteristics and uses of complex learning spaces in higher education. Evidence and models generated by the project ....Modelling complex learning spaces. The growing use of digital tools and resources means that students' learning activities are no longer tied to unique physical places. Their work is distributed across increasingly complex mixtures of physical and digital spaces, which both shape and are shaped by students' activity. This project aims to identify productive ways of modelling the characteristics and uses of complex learning spaces in higher education. Evidence and models generated by the project aim to strengthen the logic connecting the use, management and design of learning spaces. A better understanding of the relations between pedagogy, activity and space will improve the work of architects and other designers, campus managers, university teachers and students themselves.Read moreRead less