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
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
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
Industrial Transformation Training Centres - Grant ID: IC220100012
Funder
Australian Research Council
Funding Amount
$4,939,486.00
Summary
ARC Training Centre for Advanced Building Systems Against Airborne Infection Transmission. The aim of the Centre is to engineer building systems whose elements work together to reduce airborne infection transmission by improving indoor air quality while maintaining comfort and efficiency. The significance is in establishing clean indoor air as the norm, with Australian industry being the forerunner in this process. The outcomes include new intelligent building systems, improved building technolo ....ARC Training Centre for Advanced Building Systems Against Airborne Infection Transmission. The aim of the Centre is to engineer building systems whose elements work together to reduce airborne infection transmission by improving indoor air quality while maintaining comfort and efficiency. The significance is in establishing clean indoor air as the norm, with Australian industry being the forerunner in this process. The outcomes include new intelligent building systems, improved building technologies, quantitative methods for building control, evidence for policymaking and recommendations for operational guidelines. Wide-ranging benefits include reducing the health and economic burden of inadequate indoor air and increasing the competitiveness of Australian industry in the face of increasing demand for next-level building systems.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
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
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