Automatic construction monitoring through semantic information modelling. This project aims to develop computational algorithms and methods for automatic as-built construction monitoring through semantics-based Building Information Modelling (BIM). Construction as–built monitoring is crucial for the cost, time, quality and safety of projects. Methods for generating as-built status are primarily manual. There are gaps in sophistication of automation, and recognition for semantic construction info ....Automatic construction monitoring through semantic information modelling. This project aims to develop computational algorithms and methods for automatic as-built construction monitoring through semantics-based Building Information Modelling (BIM). Construction as–built monitoring is crucial for the cost, time, quality and safety of projects. Methods for generating as-built status are primarily manual. There are gaps in sophistication of automation, and recognition for semantic construction information during the process is low. The project is expected to provide efficient and accurate solutions for as-built construction monitoring.Read moreRead less
Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastruc ....Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastructure and improve quality of life.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100006
Funder
Australian Research Council
Funding Amount
$3,937,625.00
Summary
ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include in ....ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include increased axle loads and higher speeds, greater safety margins, reduced construction and maintenance costs, and a body of competent railway professionals in the nation’s work force.Read moreRead less
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100101
Funder
Australian Research Council
Funding Amount
$744,697.00
Summary
New generation facility for impact testing. This project aims to develop a new generation, national-impact testing facility to study the impact response of civil and mechanical structures and components. This project expects to seek simultaneous, realistic impact scenarios with very high velocities, which were previously impossible. This will enhance the capability for innovative research on real-time behaviour of components/systems under high amplitude impacts to augment their protection throug ....New generation facility for impact testing. This project aims to develop a new generation, national-impact testing facility to study the impact response of civil and mechanical structures and components. This project expects to seek simultaneous, realistic impact scenarios with very high velocities, which were previously impossible. This will enhance the capability for innovative research on real-time behaviour of components/systems under high amplitude impacts to augment their protection through advanced materials. This project is essential for research on rational design philosophies and effective retrofitting of high-risk buildings, infrastructure and armoured vehicles. Benefits include the saving of lives and property through new knowledge from credible impact testing.Read moreRead less
Development of advanced deterioration model for the design of stabilised pavement bases. The Australian road network is a lifeline infrastructure that underpins the nation's living standards and economy. Much of these roads have deteriorated and require rehabilitation to get a new lease of life. This project intends to develop advanced methods to extend the lives of these pavements using in-situ recycling of old pavement materials.
Structural assembly for remote housing using fibre reinforced composites. This project aims to address construction challenges in remote housing by off-site manufacturing and on-site assembly using fibre reinforced composites and digital made-to-measure approach. Its goal is to generate interdisciplinary knowledge and practical technologies for reliable, affordable and durable housing in remote harsh environments. Intended results include innovative connections and systems with valuable understa ....Structural assembly for remote housing using fibre reinforced composites. This project aims to address construction challenges in remote housing by off-site manufacturing and on-site assembly using fibre reinforced composites and digital made-to-measure approach. Its goal is to generate interdisciplinary knowledge and practical technologies for reliable, affordable and durable housing in remote harsh environments. Intended results include innovative connections and systems with valuable understanding of their performances under various loading scenarios and accurate digital visualization for remote construction. The outcomes expect to unlock remote development, enhance our competitive strengths for manufacturing and construction industries, and further offer new solutions in post-disaster recovery applications.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
An innovative light weight composite panel system for high speed modular construction. This project aims to develop an innovative composite panel system using aerated geopolymer and a thin high strength steel casing. The new panel system aims to have a number of significant enhancements compared to traditional panels in terms of load resistance, much lower carbon footprint and life-cycle costs. It aims to offer desirable properties, such as being light-weight, easy to construct, economical, recy ....An innovative light weight composite panel system for high speed modular construction. This project aims to develop an innovative composite panel system using aerated geopolymer and a thin high strength steel casing. The new panel system aims to have a number of significant enhancements compared to traditional panels in terms of load resistance, much lower carbon footprint and life-cycle costs. It aims to offer desirable properties, such as being light-weight, easy to construct, economical, recyclable and reusable. A significant gap in knowledge exists in the material and system behaviour of the aerated geopolymer and its fire performance. It is intended that a comprehensive research program will be carried out to address those challenges and to provide design guidelines to rapidly progress these technologies in Australia and overseas.Read moreRead less
Concrete Enriched with Carbon Nanotubes for Advanced Future Construction. This project aims to develop an advanced construction material based on enrichment of concrete with carbon nanotubes (CNT). Concrete, the most consumed construction material globally, is brittle and needs embedded steel reinforcement. Concrete enriched with CNT, one of the strongest known fibres, may partially replace conventional bulky and heavier steel reinforcement thereby creating economies (e.g. thinner section sizes) ....Concrete Enriched with Carbon Nanotubes for Advanced Future Construction. This project aims to develop an advanced construction material based on enrichment of concrete with carbon nanotubes (CNT). Concrete, the most consumed construction material globally, is brittle and needs embedded steel reinforcement. Concrete enriched with CNT, one of the strongest known fibres, may partially replace conventional bulky and heavier steel reinforcement thereby creating economies (e.g. thinner section sizes), and reduced carbon dioxide emissions by expending less steel and cement for construction. This project extends earlier research by the research team and aims to transform cement-CNT pastes into construction-scale concrete by resolving uncertainties associated with scaling.Read moreRead less