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
Elucidating the mechanics of facet dislocation and fracture in the neck. This project aims to address shortcomings in understanding the mechanics of neck trauma. Understanding the mechanical factors leading to cervical facet dislocation and fracture is necessary to improve injury prevention strategies and their assessment. This project expects to generate new knowledge in the area of spinal injury biomechanics, developing and using new experimental techniques. The project expects to provide know ....Elucidating the mechanics of facet dislocation and fracture in the neck. This project aims to address shortcomings in understanding the mechanics of neck trauma. Understanding the mechanical factors leading to cervical facet dislocation and fracture is necessary to improve injury prevention strategies and their assessment. This project expects to generate new knowledge in the area of spinal injury biomechanics, developing and using new experimental techniques. The project expects to provide knowledge necessary to improve crash test dummy design, associated injury criteria, and computational models, which provide the potential for improved injury prevention measures and methods for assessing existing and new technologies. The anticipated benefits of this project will be significant in reducing the personal and economic burden of spinal injuries.Read moreRead less
A new generation high crash energy absorbing barrier for improved road safety. The new, high energy absorbing road safety barrier developed in this project will provide better protection for all road users than current barriers by reducing the severity of car crashes. Current road barriers result in an average loss of 1600 lives in Australia annually, including a disproportionate number of young lives. The new barrier will be highly efficient in absorbing collisions from vehicles travelling at s ....A new generation high crash energy absorbing barrier for improved road safety. The new, high energy absorbing road safety barrier developed in this project will provide better protection for all road users than current barriers by reducing the severity of car crashes. Current road barriers result in an average loss of 1600 lives in Australia annually, including a disproportionate number of young lives. The new barrier will be highly efficient in absorbing collisions from vehicles travelling at speeds between 60 to over a 100 kilometres per hour. Installation of the new road safety barrier systems in high accident zones will save lives by reducing the severity of accidents involving road barriers. This will significantly benefit the community by reducing injury, medical, rehabilitation and property damage costs, and improve quality of life for all road users.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101181
Funder
Australian Research Council
Funding Amount
$403,775.00
Summary
Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multipl ....Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multiple mobile agents (e.g. vehicle) to enhance their ability to anticipate situations in dynamic environments and to act effectively to enhance safety. This should provide benefits for the development of cooperative autonomous driving to enhance road safety.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
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.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
Development of Intelligent Structures that can Self-evaluate Deterioration. This project aims to transform traditional civil structures into smart structures that can accurately identify current and future structural deterioration conditions and automatically notify the infrastructure management authority for timely maintenance. Civil structures deteriorate over their long life spans. Currently, we have no effective method to identify when deterioration has reached the point where maintenance is ....Development of Intelligent Structures that can Self-evaluate Deterioration. This project aims to transform traditional civil structures into smart structures that can accurately identify current and future structural deterioration conditions and automatically notify the infrastructure management authority for timely maintenance. Civil structures deteriorate over their long life spans. Currently, we have no effective method to identify when deterioration has reached the point where maintenance is required. The project plans to develop innovative structural deterioration evaluation systems using output-only vibration data and versatile optimisation algorithms to enable long-term deterioration assessment and maintenance management even under demanding operating conditions. These could be used with both conventional data acquisition systems and modern monitoring systems with smart wireless sensors. Expected project outcomes will enhance structural safety and maintenance efficiency.Read moreRead less
Stress Evaluation with Non-Linear Guided Waves. This project plans to investigate a novel approach for in situ measurement of stress in structures based on an internal resonance phenomenon for nonlinear guided waves. Monitoring the stress level of critical structural components is important to ensure structural safety. The project plans to derive the requirements for this internal resonance and its dependence on stress analytically and verify them experimentally for both simple waveguides and mo ....Stress Evaluation with Non-Linear Guided Waves. This project plans to investigate a novel approach for in situ measurement of stress in structures based on an internal resonance phenomenon for nonlinear guided waves. Monitoring the stress level of critical structural components is important to ensure structural safety. The project plans to derive the requirements for this internal resonance and its dependence on stress analytically and verify them experimentally for both simple waveguides and more realistic structures. The expected outcome is the demonstration of the feasibility of a new inexpensive method for continuous monitoring of applied or thermally-induced stresses, which is of great importance in several engineering contexts, such as modern railway track rails, pipelines or pre-stressed strands in concrete structures.Read moreRead less