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
Robustness-oriented and serviceable design of innovative modular buildings. This project aims to unlock the full potential of prefabricated modular buildings through innovative framing solutions in combination with new evaluation methods to enhance serviceability and improve safety under extreme events. Advanced 3D hybrid testing and analysis will be used to create new knowledge on the complex system-level dynamic behaviour of modular buildings. The expected outcome of this project will lead to ....Robustness-oriented and serviceable design of innovative modular buildings. This project aims to unlock the full potential of prefabricated modular buildings through innovative framing solutions in combination with new evaluation methods to enhance serviceability and improve safety under extreme events. Advanced 3D hybrid testing and analysis will be used to create new knowledge on the complex system-level dynamic behaviour of modular buildings. The expected outcome of this project will lead to safe, affordable, and environmentally sustainabe modular building construction. The project will provide significant benefits to designers, manufacturers and regulators to improve the resilience of the building stock and to support greater design and manufacturing innovations.Read moreRead less
Structural Protection of flywheel energy storage system . A flywheel energy storage system stores a large amount of energy in a rotating mass. Compared with other energy storage systems such as large-capacity batteries, the flywheel energy storage system features high power density, long lifespan, high efficiency and is carbon-free. Flywheel energy storage systems are typically constructed underground due to safety concerns from a potential rotor burst. In the present project, a high-performance ....Structural Protection of flywheel energy storage system . A flywheel energy storage system stores a large amount of energy in a rotating mass. Compared with other energy storage systems such as large-capacity batteries, the flywheel energy storage system features high power density, long lifespan, high efficiency and is carbon-free. Flywheel energy storage systems are typically constructed underground due to safety concerns from a potential rotor burst. In the present project, a high-performance confinement system is developed aiming at above-ground construction. The confinement systems which comprise low-carbon, rubberized concrete, energy-absorbing aluminum foam, and ductile steel cladding will allow for high-impact resistance, off-site prefabrication, and easy on-site installation. 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
Transforming Current Design Practice for Controlled Modulus Columns . Current design methods used for Controlled Modulus Column-supported embankments are outdated and uneconomical. This project aims to use innovative numerical and image processing techniques to develop new design methods that use 100% recyclable, environmentally friendly and highly durable EPS geofoam. Outcomes will advance the fundamental knowledge of bearing capacity increase of columns due to formation of smear zone and damag ....Transforming Current Design Practice for Controlled Modulus Columns . Current design methods used for Controlled Modulus Column-supported embankments are outdated and uneconomical. This project aims to use innovative numerical and image processing techniques to develop new design methods that use 100% recyclable, environmentally friendly and highly durable EPS geofoam. Outcomes will advance the fundamental knowledge of bearing capacity increase of columns due to formation of smear zone and damages to nearby columns during installation. Numerical tools and design guidelines will be developed for engineers. The benefits include the design and construction of lighter, cheaper, safer and more stable embankments with significant cost and environmental gains from future infrastructure developments in Australia.Read moreRead less
Computational MultiPhysics Analysis of 3D Structural Damage and Failure. This project aims to develop advanced modelling techniques to assess quantitatively, the impacts of environmental changes caused by climate on structures. New and existing structures need to be climate-resilient to sustain more frequent and hazardous climatic actions. Attention will focus on modelling structural damage caused by extreme loads and MultiPhysics mechanisms caused by climate change. The expected outcome is a ne ....Computational MultiPhysics Analysis of 3D Structural Damage and Failure. This project aims to develop advanced modelling techniques to assess quantitatively, the impacts of environmental changes caused by climate on structures. New and existing structures need to be climate-resilient to sustain more frequent and hazardous climatic actions. Attention will focus on modelling structural damage caused by extreme loads and MultiPhysics mechanisms caused by climate change. The expected outcome is a new computational tool that will benefit Australian society by facilitating more reliable assessments of risks associated with structural damage and failure. This is significant in the design of structures where effective measures to improve functionality can be implemented to add value to an asset's life-cycle management.Read moreRead less
Modernise geotechnical investigation and analysis with machine learning. The project aims to address the ineffectiveness associated with risk analysis of geotechnical systems by reducing variabilities and by rigorously quantifying such variabilities. It is expected to generate new knowledge in machine-learning-aided risk analysis and in virtual modelling of multiphase-multiphysics-multiscale problems involving random variables. Expected outcomes are datasets and computer tools that are equipped ....Modernise geotechnical investigation and analysis with machine learning. The project aims to address the ineffectiveness associated with risk analysis of geotechnical systems by reducing variabilities and by rigorously quantifying such variabilities. It is expected to generate new knowledge in machine-learning-aided risk analysis and in virtual modelling of multiphase-multiphysics-multiscale problems involving random variables. Expected outcomes are datasets and computer tools that are equipped with new functionalities including parameter optimisation, uncertainty quantification, machine-learning based surrogate models and risk analysis. These tools will help to bridge the increasing gap between academic research and engineering practice, transform geo-risk analysis and optimise complex construction processes.Read moreRead less
Infrastructure on reactive soils: fundamental advances and validation. This project aims to advance fundamental knowledge on the complex behaviour of reactive soils in the context of resilient geotechnical infrastructure. This research falls within the research priority “Environmental Change”, as geotechnical infrastructure need to sustain the impact of ever more frequent and more intense climatic actions. Attention will focus on the effect of suction on volume change and shear strength of react ....Infrastructure on reactive soils: fundamental advances and validation. This project aims to advance fundamental knowledge on the complex behaviour of reactive soils in the context of resilient geotechnical infrastructure. This research falls within the research priority “Environmental Change”, as geotechnical infrastructure need to sustain the impact of ever more frequent and more intense climatic actions. Attention will focus on the effect of suction on volume change and shear strength of reactive soils, two poorly understood features, and will produce a swelling model and a soil-deformable structure interaction model. After validation by a case study, the models will have the potential to empower industry to produce geotechnical infrastructure that can better sustain climatic actions.Read moreRead less
Fire engineering of prefabricated structural systems of modular buildings. With the speed and cost benefits, modular construction is considered a game-changing solution in response to pandemics and natural disasters, and tackling the affordable housing crisis on a large scale. However, its uptake has been hindered due to recent fire incidents of modular buildings. This project aims to develop novel fire experiments and advanced modelling techniques to evaluate the fire performance of modular bui ....Fire engineering of prefabricated structural systems of modular buildings. With the speed and cost benefits, modular construction is considered a game-changing solution in response to pandemics and natural disasters, and tackling the affordable housing crisis on a large scale. However, its uptake has been hindered due to recent fire incidents of modular buildings. This project aims to develop novel fire experiments and advanced modelling techniques to evaluate the fire performance of modular buildings. Computational tools and fire safety design guidelines will also be developed to enable modular buildings to be built safer and more economically. This project will promote the widespread adoption of modular buildings to benefit end-users and the wider society, especially the housing sector and low-income households.Read moreRead less
Pile foundations in unsaturated soils: a mechanistic framework. This project will develop a mechanistic approach to pile foundation design in variably saturated soils through integrated expertise in the fields of unsaturated soil mechanics, material nonlinearity, numerical modelling, limit analysis and experimental investigation. It will achieve a rigorous understanding of pile behaviour in unsaturated
soils subjected to monotonic loading through a comprehensive program of scaled laboratory test ....Pile foundations in unsaturated soils: a mechanistic framework. This project will develop a mechanistic approach to pile foundation design in variably saturated soils through integrated expertise in the fields of unsaturated soil mechanics, material nonlinearity, numerical modelling, limit analysis and experimental investigation. It will achieve a rigorous understanding of pile behaviour in unsaturated
soils subjected to monotonic loading through a comprehensive program of scaled laboratory testing, numerical and theoretical analyses. The models, theories, mechanics and predictive tools arising from this research will have direct and immediate impact on the planning, design, construction and management of many types of infrastructure involving pile foundations in industrial and residential developments.Read moreRead less