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
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: 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
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
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
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
Novel quantitative sizing of inaccessible and hard-to-inspect defects to address the challenges posed by innovations in airframe design. Modern unitised aircraft structures cannot be reliably inspected using traditional techniques. This project will develop new techniques to quantify defects required for this innovation in aircraft component design. This research will improve the through-life support of future metallic and composite aircraft structures and improve air safety.
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
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100261
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
In-situ structural safety diagnosis of composite materials: lamb wave diffraction tomography using multi-frequency data. Light weight composite materials are used extensively in different industry fields and monitoring their structural integrity is critical to their safety. This project will provide a cost-effective and technically advanced method of assessing the integrity of composite materials, preventing unforeseen and potentially catastrophic failure.