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
Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected ....Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected to benefit the Australian construction industry as well as building operators, giving them a valuable export commodity. It intends also to benefit inhabitants of the buildings by providing a more safe, secure and accommodating environment.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
Sustainable retirement villages for Ageing Australians. This project aims to deliver sustainable retirement villages to better accommodate older Australians and assess their effects on the growth of the retirement village industry. More organisations and governments globally are embracing sustainable development, but the Australian retirement village industry has been largely static and unresponsive; it has not yet met the green movement’s challenge to provide a sustainable living environment fo ....Sustainable retirement villages for Ageing Australians. This project aims to deliver sustainable retirement villages to better accommodate older Australians and assess their effects on the growth of the retirement village industry. More organisations and governments globally are embracing sustainable development, but the Australian retirement village industry has been largely static and unresponsive; it has not yet met the green movement’s challenge to provide a sustainable living environment for senior citizens. This project is expected to improve the living environment of retirement villages and the quality of life of older Australians.Read moreRead less
Assimilation of architectural and services design in early design modelling. How can buildings in a climate as varied as Australia's balance the best environmental comfort standards for their human occupants, cost and at the same time meet the urgent imperative of reduced energy consumption and associated carbon emissions? This practice-based research will develop tools to support more informed decision making in the earliest stage of an integral approach to services in the design of buildings. ....Assimilation of architectural and services design in early design modelling. How can buildings in a climate as varied as Australia's balance the best environmental comfort standards for their human occupants, cost and at the same time meet the urgent imperative of reduced energy consumption and associated carbon emissions? This practice-based research will develop tools to support more informed decision making in the earliest stage of an integral approach to services in the design of buildings. It will provide knowledge about designing architecture that is more environmentally responsive, can provide comfortable air in more optimised ways, that consume less energy and do this through promoting smarter use of information in practice.Read moreRead less
Functionally graded modelling of geopolymer and Portland cement concretes. This project aims to investigate why geopolymer concretes crack less than the Portland cement concretes. Carbon emissions from Portland cement is second only to fossil fuels. Geopolymer may emit less carbon dioxide than Portland cement concrete because it bleeds less and has higher creep. The project will test this hypothesis on geopolymer and Portland cement concretes, and emulate its findings in all types of concretes. ....Functionally graded modelling of geopolymer and Portland cement concretes. This project aims to investigate why geopolymer concretes crack less than the Portland cement concretes. Carbon emissions from Portland cement is second only to fossil fuels. Geopolymer may emit less carbon dioxide than Portland cement concrete because it bleeds less and has higher creep. The project will test this hypothesis on geopolymer and Portland cement concretes, and emulate its findings in all types of concretes. The project intends to create a specific market for geopolymer by developing a crack-free pavement and floors technology, while understanding cracking in concrete will reduce cracking issues.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