Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodo ....Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodology will expand conventional crashworthiness design to the coupled mechanical-electrochemical-thermal problems. The proposed crashworthiness optimisation of battery compartment structure will enhance safety and reliability of electric vehicles, potentially benefiting consumers and manufacturers.Read moreRead less
Development of a novel mobile sensory system for bridge health monitoring. The aim of this project is to provide accurate, rapid and cost-effective ‘health checks’ for bridges. Transportation infrastructures are subject to continuous degradation due to the environment, ageing and excess loading. This project plans to develop a vehicle equipped with sensors as a mobile sensing platform to catch the dynamic interaction between the vehicle and the bridge. The interaction information would be used t ....Development of a novel mobile sensory system for bridge health monitoring. The aim of this project is to provide accurate, rapid and cost-effective ‘health checks’ for bridges. Transportation infrastructures are subject to continuous degradation due to the environment, ageing and excess loading. This project plans to develop a vehicle equipped with sensors as a mobile sensing platform to catch the dynamic interaction between the vehicle and the bridge. The interaction information would be used to assess the health of the bridge infrastructure through substructuring techniques. The expected output of this project would enable managers to monitor the structural conditions and provide an economical infrastructure asset management scheme to protect the structure and human lives.Read moreRead less
Risky Business: Using biological systems to mitigate risk in supply chains and transportation networks. In an uncertain world, resilient supply chains are crucial for getting products and services to consumers. However, the algorithms used to design and manage supply chains are inadequate to deal with the increasingly complex and self-organised nature of modern supply chains. This project will look to nature for new solutions to supply chain design and management problems. Natural systems are hi ....Risky Business: Using biological systems to mitigate risk in supply chains and transportation networks. In an uncertain world, resilient supply chains are crucial for getting products and services to consumers. However, the algorithms used to design and manage supply chains are inadequate to deal with the increasingly complex and self-organised nature of modern supply chains. This project will look to nature for new solutions to supply chain design and management problems. Natural systems are highly resilient against perturbations and damage. They have had millions of years to evolve efficient solutions to the same problems currently facing supply chains. Using experiments on ants and slime moulds. This project will uncover the secrets of biological resilience, and use this insight to develop new algorithms for supply chain design and management. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100763
Funder
Australian Research Council
Funding Amount
$403,300.00
Summary
Multiscale modelling of fluid–particle transport in porous media. The aim is to use a multiscale approach to rigorously model fluid–particle transport in porous media – a fundamental process in many engineering problems. With advanced parallel-computing tools, a microscale model is developed to incorporate interacting grains, water, and particles. The model and innovative upscaling methods will transform our understanding of mechanisms, and allow development of predictive models for particle tra ....Multiscale modelling of fluid–particle transport in porous media. The aim is to use a multiscale approach to rigorously model fluid–particle transport in porous media – a fundamental process in many engineering problems. With advanced parallel-computing tools, a microscale model is developed to incorporate interacting grains, water, and particles. The model and innovative upscaling methods will transform our understanding of mechanisms, and allow development of predictive models for particle transport in both steady and unsteady porous flows. The fundamental knowledge and new-generation numerical models will support technological advances to directly benefit rail and road construction and their maintenance, fuel and renewable-energy extraction, coastal soil and water protection, and bushfire control.Read moreRead less
Robustness, resilience and security of networked dynamic systems. This project will develop advanced digital control techniques to address security, resilience and robustness in complex networks and deliver fundamental advances in the technology for secure and reliable networks. The project will advance the theory on consensus of networked multi-agent systems to facilitate the fast adoption of the internet of things and the continuous growth of cyber-physical systems These systems in many cases ....Robustness, resilience and security of networked dynamic systems. This project will develop advanced digital control techniques to address security, resilience and robustness in complex networks and deliver fundamental advances in the technology for secure and reliable networks. The project will advance the theory on consensus of networked multi-agent systems to facilitate the fast adoption of the internet of things and the continuous growth of cyber-physical systems These systems in many cases work with high efficiency, stability, and low communication overheads. However, there are cases where disturbance amplification and cascading failures can arise from relatively small unforeseen events. The theoretical work will be complemented by detailed nonlinear networked simulations, using intelligent vehicle systems as a case study.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101633
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Multiscale design of hierarchical structures for crashworthiness. This project intends to develop new hierarchical materials and structures for light weight and crashworthiness by mimicking impact-bearing biological materials. Environmental and road safety concerns mean that vehicles must try to compromise between light weight, to reduce fuel consumption, and crashworthiness. To some extent, design optimisation of conventional materials and structures has reached its limits. This project aims to ....Multiscale design of hierarchical structures for crashworthiness. This project intends to develop new hierarchical materials and structures for light weight and crashworthiness by mimicking impact-bearing biological materials. Environmental and road safety concerns mean that vehicles must try to compromise between light weight, to reduce fuel consumption, and crashworthiness. To some extent, design optimisation of conventional materials and structures has reached its limits. This project aims to develop new biomimetic multiscale design methods to generate novel hierarchical structures for automotive applications. The study is expected to provide the automotive industry with novel approaches and designs to improve both the weight and crashworthiness of vehicles.Read moreRead less
Nanosilver antimicrobial resistance in target pathogens. This project aims to elucidate the important phenomena of bacterial resistance to antimicrobial nanosilver, currently one of the most developed and commercialised products of nanotechnology. The integrated research approach comprises of concurrent identification of the origins and routes of nanosilver toxicity in bacteria and the arising emergence and mechanisms of bacterial defence to the toxicity. The generated knowledge is to form a bas ....Nanosilver antimicrobial resistance in target pathogens. This project aims to elucidate the important phenomena of bacterial resistance to antimicrobial nanosilver, currently one of the most developed and commercialised products of nanotechnology. The integrated research approach comprises of concurrent identification of the origins and routes of nanosilver toxicity in bacteria and the arising emergence and mechanisms of bacterial defence to the toxicity. The generated knowledge is to form a base template for novel nanosilver engineering with less tendency for resistance development and to facilitate tracking of resistance and its spread amongst microorganisms. The knowledge has far-reaching implications on the better governance of nanosilver use, including its disposal.Read moreRead less
The Molecular Basis of Nanoparticle Resistance in Mixed-Species Biofilm. The project aims to understand how the globally significant mixed-species growth of pathogens develop resistance to silver nanoparticle, currently one of the most important alternative antimicrobials to antibiotics. The integrated research is to elucidate, for the first time, the nanoparticle multi-targeting toxicity on mixed-species bacterial community and how, in turn, the bacteria activate their cell-to-cell signalling f ....The Molecular Basis of Nanoparticle Resistance in Mixed-Species Biofilm. The project aims to understand how the globally significant mixed-species growth of pathogens develop resistance to silver nanoparticle, currently one of the most important alternative antimicrobials to antibiotics. The integrated research is to elucidate, for the first time, the nanoparticle multi-targeting toxicity on mixed-species bacterial community and how, in turn, the bacteria activate their cell-to-cell signalling for a synergistic defence to adapt to the nanoparticle toxicity. The pioneering knowledge is the foundation for technologies targeting the interspecies metabolite cross-talking to overcome the resistance phenomena, ensuring a long-term efficacy of the alternative antimicrobial on the difficult-to-control pathogenic growth.Read moreRead less
Miniaturised biosensors with high selectivity . This project aims to develop a technological platform for the fabrication of miniaturised and flexible sensors that enable the quantitative detection of important bioactive compounds such as fatty acids and biogenic amines. By utilising multi-enzymatic reactions in solid phase and engineering task-specific inks, chemiresistive sensors will be printed seamlessly as a whole. The sensors will respond to complex target biomolecules via a series of enzy ....Miniaturised biosensors with high selectivity . This project aims to develop a technological platform for the fabrication of miniaturised and flexible sensors that enable the quantitative detection of important bioactive compounds such as fatty acids and biogenic amines. By utilising multi-enzymatic reactions in solid phase and engineering task-specific inks, chemiresistive sensors will be printed seamlessly as a whole. The sensors will respond to complex target biomolecules via a series of enzymatic reactions through which the analyte will convert to much simpler, reactive and hence measurable molecules. This project will enable to design miniaturised sensors for point-of-care detection of biomolecules that cannot be yet evaluated by the end users.Read moreRead less
Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent ....Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent flows. Several well-characterised case study flows, of importance to human society, will be examined. Turbulent flow models will also be constructed by maximum-entropy and Bayesian methods directly from experimental data. The project will substantially enhance our ability to predict the behaviour of turbulent flows.Read moreRead less