Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100019
Funder
Australian Research Council
Funding Amount
$664,580.00
Summary
Collaborative robotics for structural assembly and construction automation. Recent robotic technologies present great opportunity for construction industry to improve quality and productivity while no state of the art research infrastructure has been developed yet for this need. The proposed facility aims to provide a unique platform on research and development for structural assembly and construction automation. It
features by a flexible and adaptive design and instrumentation of structures and ....Collaborative robotics for structural assembly and construction automation. Recent robotic technologies present great opportunity for construction industry to improve quality and productivity while no state of the art research infrastructure has been developed yet for this need. The proposed facility aims to provide a unique platform on research and development for structural assembly and construction automation. It
features by a flexible and adaptive design and instrumentation of structures and space for a team of collaborative robotics in an interactive environment to achieve automated prefabrication, assembly and building. The outcomes are expected to transform current labor-intensive construction industry to highly automated and accurate manufacturing industry with significant benefits to economy and safety.Read moreRead less
Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information t ....Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information through computational intelligence. The expected outcome will be an intelligent asset management platform that provides structured and semantically enriched lifecycle asset information for optimised solutions to help reduce the cost, time and effort in asset information storage and retrieval, and decision-making. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100657
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Improving mental health and safety in the construction industry. This project aims to quantify the interdependencies of the psychosocial risk factors the construction workforce is exposed to and contribute to developing strategies for improving the mental health and safety of the Australian construction industry. The suicide rate of Australian construction workers is 84 per cent higher than non-construction workers due to the high psychosocial risks involved. The quantification of these psychoso ....Improving mental health and safety in the construction industry. This project aims to quantify the interdependencies of the psychosocial risk factors the construction workforce is exposed to and contribute to developing strategies for improving the mental health and safety of the Australian construction industry. The suicide rate of Australian construction workers is 84 per cent higher than non-construction workers due to the high psychosocial risks involved. The quantification of these psychosocial risk factors and their interdependencies will enable effective strategies to be designed. The long-term impacts of this project include improving the mental health of the construction workforce, reducing suicide rates and mental health work compensation, enhancing employee productivity, and reducing accidents and injuries. This project will make Australia a global leader in mental health and safety of the construction industry.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101079
Funder
Australian Research Council
Funding Amount
$426,241.00
Summary
Safe distractions? Taking the danger out of competing activities. Distracted driving is an increasing safety concern in Australia and worldwide. Smartphones play key roles in today’s professional and social contexts and current road safety policies based on stopping their use while driving have shown little success. Distraction is predicted to be an even greater issue in new semi-automated vehicles. This project proposes an innovative approach that will enable safe engagement in competing tasks ....Safe distractions? Taking the danger out of competing activities. Distracted driving is an increasing safety concern in Australia and worldwide. Smartphones play key roles in today’s professional and social contexts and current road safety policies based on stopping their use while driving have shown little success. Distraction is predicted to be an even greater issue in new semi-automated vehicles. This project proposes an innovative approach that will enable safe engagement in competing tasks while driving non-automated and semi-automated vehicles. The outcomes will underpin the development of new technologies to reduce the potential adverse effects of these distractions and thus reduce deaths and serious injuries, representing significant cost savings to the health system and the community.Read moreRead less
Light steel roof and wall systems under combined wind and bushfire actions. The project aims to investigate the complex behaviour of light cold-formed-steel roof and wall systems involving localized failures under the combined action of wind and bushfire using wind suction tests at elevated temperatures combined with advanced numerical modelling. It will generate new knowledge of the behaviour and strength of cold-formed-steel roof and wall systems under bushfire conditions. Expected outcomes in ....Light steel roof and wall systems under combined wind and bushfire actions. The project aims to investigate the complex behaviour of light cold-formed-steel roof and wall systems involving localized failures under the combined action of wind and bushfire using wind suction tests at elevated temperatures combined with advanced numerical modelling. It will generate new knowledge of the behaviour and strength of cold-formed-steel roof and wall systems under bushfire conditions. Expected outcomes include new design models for wind, bushfire and cold-formed-steel Standards. This will significantly improve the bushfire safety of buildings, since non-combustible steel roof and wall systems are used as building envelopes in bushfire prone areas, but are not designed to withstand recently discovered bushfire-enhanced winds.Read moreRead less
Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project wi ....Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project will uncover the mechanics of vehicle intrusions through masonry walls and develop novel mitigation strategies using high energy absorbing auxetic composite render and innovative vibration isolation at wall edges. These innovations will lead to new theories that can save lives in the building and vehicle.Read moreRead less
Hydrogen carbon waste into concrete: AI assisted nanoscience approach. The carbon waste from hydrogen production will be converted into carbon nanosheets on abundant construction materials for the creation of stronger and more durable concrete. Cutting-edge nanoscience-based experiments, as well as sophisticated modelling techniques including machine learning and finite element modelling, will be employed. The findings will drive advances in clean hydrogen production, carbon waste utilisation, c ....Hydrogen carbon waste into concrete: AI assisted nanoscience approach. The carbon waste from hydrogen production will be converted into carbon nanosheets on abundant construction materials for the creation of stronger and more durable concrete. Cutting-edge nanoscience-based experiments, as well as sophisticated modelling techniques including machine learning and finite element modelling, will be employed. The findings will drive advances in clean hydrogen production, carbon waste utilisation, cement hydration, nanotechnology and concrete technology for the next generation of an upskilled workforce and the promotion of a circular economy. This project will be carried out in collaboration with Australian and international renowned experts in computational modelling, nanomaterials and concrete materials.Read moreRead less
Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.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
Non-differentiable Energy Minimisation For Modelling Fractured Porous Media. This project is aimed at advancing theoretical, computational and experimental bases for the fracturing of geomaterials, and providing scientists and engineers with much needed predictive tools for quantitative assessment of the responses. By incorporating previously neglected aspects such as energy minimisation, advanced constitutive modelling, and non-planar interacting fracture growth, confidence in the design and pl ....Non-differentiable Energy Minimisation For Modelling Fractured Porous Media. This project is aimed at advancing theoretical, computational and experimental bases for the fracturing of geomaterials, and providing scientists and engineers with much needed predictive tools for quantitative assessment of the responses. By incorporating previously neglected aspects such as energy minimisation, advanced constitutive modelling, and non-planar interacting fracture growth, confidence in the design and planning of engineering processes in fractured porous media will be increased to the point that costly over/under designs are avoided. Through the use of the tools developed, it will be possible to detect weaknesses in the design, assess the impact and implement effective measures to improve performance.Read moreRead less