Discovery Early Career Researcher Award - Grant ID: DE240101422
Funder
Australian Research Council
Funding Amount
$467,760.00
Summary
Chameleon-Inspired Building Envelope for the Australian Building Sector. The project aims to develop an intelligent reflective coating that can act like a chameleon skin on a building surface, allowing sunlight to reflect efficiently in summer and be absorbed in winter without using pigments or dyes. The research will reveal how microstructural architecture can mimic a chameleon skin on building envelopes to address the critical challenge of this technology, which is overcooling in winter. The e ....Chameleon-Inspired Building Envelope for the Australian Building Sector. The project aims to develop an intelligent reflective coating that can act like a chameleon skin on a building surface, allowing sunlight to reflect efficiently in summer and be absorbed in winter without using pigments or dyes. The research will reveal how microstructural architecture can mimic a chameleon skin on building envelopes to address the critical challenge of this technology, which is overcooling in winter. The expected outcome is a smart coating technology that is easy to manufacture on small and large scales with no winter penalty, compatible with even, uneven and rough surfaces, free from the use of pigment and durable under sunlight. Read moreRead less
The behaviour and design of composite columns coupling the benefits of high strength steel and high strength concrete for large scale infrastructure. This project will involve the development of a novel structural column system which will be more efficient, robust and require less maintenance than current systems. The outcomes will involve improved design methodologies which will enable large scale infrastructure to be enhanced and will involve the use of materials which improve sustainability.
Leveraging research and development (R and D) for the Australian built environment. This project will evaluate impacts, diffusion mechanisms and uptake of research and development (R and D) in the Australian building and construction industry. Building on a retrospective analysis and industry consultation, a future-focussed industry roadmap will be developed to establish R and D policies to inform and improve R and D investment effectiveness.
Measuring and modelling the mechanical response of soils incorporating recycled tyres. Civil engineers use backfill to refill excavated areas around new structures. They have found recently that rubber chips and shredded rubber make excellent backfill when combined with a small percentage of cement to make ‘rubber soil’. The widespread use of rubber soil therefore offers a tremendous opportunity to make use of a serious waste product to achieve important engineering outcomes. However, too little ....Measuring and modelling the mechanical response of soils incorporating recycled tyres. Civil engineers use backfill to refill excavated areas around new structures. They have found recently that rubber chips and shredded rubber make excellent backfill when combined with a small percentage of cement to make ‘rubber soil’. The widespread use of rubber soil therefore offers a tremendous opportunity to make use of a serious waste product to achieve important engineering outcomes. However, too little is known about the technology. This project will model the behaviour of rubber soil in order to introduce it as an environmentally sustainable, cost-effective and technically sound choice of geomaterial for both standard and non-standard geotechnical structures.Read moreRead less
Modelling rolling dynamic compaction. Modelling rolling dynamic compaction. This project aims to measure the influence and efficacy of rolling dynamic compaction (RDC)—a new ground improvement technology used worldwide—in soil types using RDC modules of different shapes and weights in an experimental testing facility. It will examine authentic 1:13 scale RDC models using sophisticated testing and instrumentation embedded in the soil, and use this data to develop a model based on artificial intel ....Modelling rolling dynamic compaction. Modelling rolling dynamic compaction. This project aims to measure the influence and efficacy of rolling dynamic compaction (RDC)—a new ground improvement technology used worldwide—in soil types using RDC modules of different shapes and weights in an experimental testing facility. It will examine authentic 1:13 scale RDC models using sophisticated testing and instrumentation embedded in the soil, and use this data to develop a model based on artificial intelligence techniques that reliably predicts ground improvement using RDC in different ground conditions. This research is expected to transform the Australian and global ground improvement sector, and save hundreds of millions of dollars in land development costs and infrastructure.Read moreRead less
Optimising the design, construction and cost-effectiveness of screw auger piles in fine-grained cohesive soils. The purpose of the project is to optimise the design, construction and effectiveness of screw auger piles used in fine-grained cohesive soils, through achieving an improved understanding of their behaviour and performance. The expected outcome is enhanced design and construction of such piles in these soils, and greater cost-effectiveness.
Design and Construction Error Mitigation in Infrastructure Projects. Human errors committed during the design and construction process of infrastructure projects increase costs by as much as 25 per cent. The costs associated with such errors would be significantly higher in the event of an engineering failure and loss of life. This research will develop a model that can be used to mitigate errors and improve the performance and safety of infrastructure projects. A reduction in errors will reduce ....Design and Construction Error Mitigation in Infrastructure Projects. Human errors committed during the design and construction process of infrastructure projects increase costs by as much as 25 per cent. The costs associated with such errors would be significantly higher in the event of an engineering failure and loss of life. This research will develop a model that can be used to mitigate errors and improve the performance and safety of infrastructure projects. A reduction in errors will reduce the financial burden placed on taxpayers for cost overruns experienced as well as improve the profitability of organisations. This will lead to greater investment, and contribution to gross domestic product.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
Assessment of Dynamic Pile Driving Using Machine Learning. This project aims at developing new technology to determine ground properties and foundation capacity in real-time during pile installation by adopting rigorous numerical simulation, laboratory experiments and artificial intelligence-based computational model. Although impact driving is used commonly to install piles on site, there is no technology currently available to interpret collected data accurately and in real-time to provide liv ....Assessment of Dynamic Pile Driving Using Machine Learning. This project aims at developing new technology to determine ground properties and foundation capacity in real-time during pile installation by adopting rigorous numerical simulation, laboratory experiments and artificial intelligence-based computational model. Although impact driving is used commonly to install piles on site, there is no technology currently available to interpret collected data accurately and in real-time to provide live feedback and optimise construction processes. This research will provide new machine learning model to assess the ground and foundation characteristics during construction, and will increase certainty in infrastructure investment in Australia particularly for costly transport assets and infrastructure.Read moreRead less
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