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
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: DE190100931
Funder
Australian Research Council
Funding Amount
$325,000.00
Summary
A novel intelligent prognostics platform for complex cyberphysical systems. This project aims to develop a novel data-driven dynamic reliability assessment platform to improve predictive maintenance ability in complex cyberphysical systems (CPSs). This will be achieved by identifying which degradation mechanism(s) are likely to cause an impending failure, and then highlighting the event to trigger for maintenance service or control operation. The expected outcomes are new methods and tools neede ....A novel intelligent prognostics platform for complex cyberphysical systems. This project aims to develop a novel data-driven dynamic reliability assessment platform to improve predictive maintenance ability in complex cyberphysical systems (CPSs). This will be achieved by identifying which degradation mechanism(s) are likely to cause an impending failure, and then highlighting the event to trigger for maintenance service or control operation. The expected outcomes are new methods and tools needed to leverage failure prognostics and prognostics-informed maintenance/control for making CPSs resilient with reduced levels of redundancy. This research will produce major advancements in extending core components’ life and durability in complex CPSs, bringing economic benefit for Australia industry.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
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
Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less
Novel vibro-acoustic technologies for detecting bearing and wheel defects in rail vehicles. Research will be conducted to provide the basis for the development of a novel automatic system that detects bearing and wheel defects in under-way railway wagons, thus helping to prevent catastrophic derailments and minimise fuel consumption. It will also maintain Australian industry at the forefront of the global track-side monitoring industry.
Towards autonomous structural safety prognostics: integrating in-situ imaging and predictive modelling. This project aims to advance a scientific basis for autonomous safety prognostics by developing predictive models and in-situ damage imaging principles. Development of this new health prognostic approach will overcome the significant challenge of safety assurance of composite structures in the presence of in-service damage, which is largely hidden.
Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficie ....Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficient safety management of high-value assets and infrastructure, and for enhancing Australia’s competitiveness in advanced manufacturing.Read moreRead less