A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optima ....A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optimal design and experimental validations. It will accelerate the design of these new carbon-based fibres as game-changing materials in a wide range of areas. Ultimately this project has the potential to deliver significant economic benefits and will place Australia at the forefront of the industrial revolution of the future.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100273
Funder
Australian Research Council
Funding Amount
$407,679.00
Summary
Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expe ....Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expected outcomes include a new supercomputing method for train-track dynamics and derailment research and a science-based technique to assess track buckling safety. This project should provide significant benefits to the rail industry including enhanced rail safety, lower maintenance costs and improved transport efficiency.Read moreRead less
A Novel Surrogate Framework for evaluating THM Properties of Bentonite. Compacted bentonite as favoured engineered barrier material is widely used in environmental geotechnics and its failure can incur huge societal, economic and environmental loss. The project aims to develop a novel surrogate model to identify the optimal controllable factors' value to increase barrier's integrity and reliability. It expects to advance the fundamental knowledge of bentonite thermo-hydro-mechanical properties t ....A Novel Surrogate Framework for evaluating THM Properties of Bentonite. Compacted bentonite as favoured engineered barrier material is widely used in environmental geotechnics and its failure can incur huge societal, economic and environmental loss. The project aims to develop a novel surrogate model to identify the optimal controllable factors' value to increase barrier's integrity and reliability. It expects to advance the fundamental knowledge of bentonite thermo-hydro-mechanical properties through advanced molecular dynamics modelling, statistic learning and machine learning. It will deliver revolution design approach for bentonite used in engineered barriers in Australia and internationally. In the long-time it will bring huge economic, societal and environmental benefits to our community.Read moreRead less
Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expe ....Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expected outcomes of this project include an innovative design, experimental data on corrosion prevention, development of reliable simulation techniques and design procedures for the proposed coating. This should provide huge benefits to Australian civil, offshore and marine engineering industry and national economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100975
Funder
Australian Research Council
Funding Amount
$415,775.00
Summary
Architectured ceramics to combine strength, toughness, and complex shapes. This project aims to develop ceramics that are simultaneously strong and tough, and to form them into complex shapes without compromising their mechanical properties – major challenges in science and engineering. Inspired by the internal architectures that confer these advantages on natural hard materials, it will produce novel ceramics with rationally-designed, highly-controlled dense architectures by developing a fast, ....Architectured ceramics to combine strength, toughness, and complex shapes. This project aims to develop ceramics that are simultaneously strong and tough, and to form them into complex shapes without compromising their mechanical properties – major challenges in science and engineering. Inspired by the internal architectures that confer these advantages on natural hard materials, it will produce novel ceramics with rationally-designed, highly-controlled dense architectures by developing a fast, scalable and versatile light-based 3D–4D printing technique combined with discrete element modelling. Outcomes will be toughened ceramics and new knowledge on processing-architecture-performance relationships, with significant benefits for biomaterials, defence, transport, high-temperature and aerospace applications.Read moreRead less
Characterisation of mechanical behaviour of lithiated silicon. This project aims to develop novel characterisation and numerical techniques, thus aiming to solve the problem of mechanical failure in silicon based high energy density lithium-ion batteries. This will be achieved through development of novel techniques for in situ microscopy observation, nano-mechanics testing and atomistic modeling. The expected outcomes are effective solutions for development of reliable and efficient battery sys ....Characterisation of mechanical behaviour of lithiated silicon. This project aims to develop novel characterisation and numerical techniques, thus aiming to solve the problem of mechanical failure in silicon based high energy density lithium-ion batteries. This will be achieved through development of novel techniques for in situ microscopy observation, nano-mechanics testing and atomistic modeling. The expected outcomes are effective solutions for development of reliable and efficient battery systems. This project will provide significant benefits in the development of new power sources and energy storage devices for mobile electronics, electric vehicle and sustainable energy industries.Read moreRead less
Making Strong Alloys Ductile and Hydrogen-Tolerant via Tuning Nanogradients. This project aims to develop a novel design concept of gradient segregation engineering (GSE) to produce high-performance alloys. The innovative GSE will synergistically introduce a chemical gradient via grain boundary segregation and a physical gradient by microstructure control to simultaneously achieve an excellent strength-ductility combination and exceptional resistance to hydrogen embrittlement. This project expec ....Making Strong Alloys Ductile and Hydrogen-Tolerant via Tuning Nanogradients. This project aims to develop a novel design concept of gradient segregation engineering (GSE) to produce high-performance alloys. The innovative GSE will synergistically introduce a chemical gradient via grain boundary segregation and a physical gradient by microstructure control to simultaneously achieve an excellent strength-ductility combination and exceptional resistance to hydrogen embrittlement. This project expects to create new fundamental knowledge and provide critical perspectives for future mechanistic alloy design. The results will enhance Australia’s capacity to develop next-generation advanced alloys to underpin current and emerging industrial applications and strengthen the country’s leading position in materials engineering.Read moreRead less
Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodel ....Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodeling and machine learning algorithms for image analysis. This approach will help establish a structural-functional link between remodeling and bone material optimisation which ultimately provides significant benefits for bone tissue engineering, fracture healing and improved therapies for osteoporosis. Read moreRead less
Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge ....Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge for the advancement of microfluidic technologies. The outcomes of this project will establish physical principles to guide the design of microfluidic systems and provide the computational capabilities that can potentially transform the way researchers and engineers design, optimise and use microfluidic technologies.Read moreRead less
Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reserv ....Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reservoirs. The outcomes will not only enable us to effectively assess the viability of gas extraction from Australian shale reservoirs with accurate long-term production forecasting, but help to develop strategies to effectively extract this relatively low carbon-emitting fossil fuel in the transition to a renewable economy.Read moreRead less