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
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
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
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
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
Sensitivity Analysis of Networked Feedback Systems. This project is concerned with the analysis of networks of interacting dynamic feedback systems. This fundamental area of research underpins transportation networks, biomolecular signalling networks, economic systems, water supply, smart electricity grids, communications and a range of other applications. This work aims to address critical questions relating to robustness and sensitivity analysis questions in this context. This fundamental adva ....Sensitivity Analysis of Networked Feedback Systems. This project is concerned with the analysis of networks of interacting dynamic feedback systems. This fundamental area of research underpins transportation networks, biomolecular signalling networks, economic systems, water supply, smart electricity grids, communications and a range of other applications. This work aims to address critical questions relating to robustness and sensitivity analysis questions in this context. This fundamental advance in knowledge is expected to advance Australia's standing as an international authority in the area.Read moreRead less
Modelling and distributed control of large infrastructure networks. The main outcome of this project will be the capability to study systematically basic questions on the operation of large infrastructure systems. Methodologies for control of larger systems and security issues will be developed. Application of the techniques to several applications areas will include power grids and traffic networks.