Investigation into on-road vehicle rollovers using a combined rigid and flexible multibody model. Rollover propensity is one of the major safety indicators of vehicles. In-depth understanding of the causes and mechanisms of vehicle rollovers and the availability of advanced design and simulation tools will greatly assist the automotive industry in improving vehicle safety and consequently enhance the industry's competitiveness in the international marketplace. The developed knowledge would also ....Investigation into on-road vehicle rollovers using a combined rigid and flexible multibody model. Rollover propensity is one of the major safety indicators of vehicles. In-depth understanding of the causes and mechanisms of vehicle rollovers and the availability of advanced design and simulation tools will greatly assist the automotive industry in improving vehicle safety and consequently enhance the industry's competitiveness in the international marketplace. The developed knowledge would also benefit aeronautical, ship building and military industries which are generally well-equipped to absorb new technology and seek a competitive edge. The wide community would benefit by potentially reduced death rates and fatal injuries caused by rollover crashes, and through increased employment in industry. Read moreRead less
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
A Robotic System for Steel Bridge Maintenance. This research will bring enormous benefits to Australian community by significantly reducing the environmental impact of civil infrastructure maintenance operations, and improving the working conditions of maintenance workers by minimising their exposure to dust containing hazardous materials. Bridges are a key link that supports rural communities. Besides the 426 steel road bridges in NSW, many hundreds steel road/rail bridges and other steel infra ....A Robotic System for Steel Bridge Maintenance. This research will bring enormous benefits to Australian community by significantly reducing the environmental impact of civil infrastructure maintenance operations, and improving the working conditions of maintenance workers by minimising their exposure to dust containing hazardous materials. Bridges are a key link that supports rural communities. Besides the 426 steel road bridges in NSW, many hundreds steel road/rail bridges and other steel infrastructure in Australia need regular paint stripping and repainting. Australia will gain significant economic and health benefits from commercialising the advanced technologies developed by this project, and become a world leader in developing autonomous systems for infrastructure maintenance.Read moreRead less
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100041
Funder
Australian Research Council
Funding Amount
$680,320.00
Summary
National laser-based non-destructive evaluation system. This project aims to establish the first Australian national facility for non-destructive evaluation, consisting of a three-dimensional scanning laser vibrometer, laser shearography, and an optical de-rotator, to enable full-field characterisation of the deformation and damage state of materials and structures. This solution is expected to perform rapid, broad-area scans, characterise dynamic response and wave propagation in human-engineere ....National laser-based non-destructive evaluation system. This project aims to establish the first Australian national facility for non-destructive evaluation, consisting of a three-dimensional scanning laser vibrometer, laser shearography, and an optical de-rotator, to enable full-field characterisation of the deformation and damage state of materials and structures. This solution is expected to perform rapid, broad-area scans, characterise dynamic response and wave propagation in human-engineered or natural structures, and diagnose rotating systems. This will enhance experimental capabilities, with uses spanning many industry sectors including aerospace, naval, automotive and medical.Read moreRead less