Quantitative structural health assessment of large membrane-like structures. This project aims to develop a new approach, based on remote sensing and computational modelling, to assess and manage the structural health of large floating covers used for odour control and biogas harvesting to prevent unexpected failures. The project has potential benefits for high-value-added manufacturing and maintenance of these floating covers by Australian 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.
Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline- ....Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline-free structural health monitoring technique capable of detecting and quantifying barely-visible impact damage in advanced composite materials, non-destructive evaluation of structures made by additive manufacturing, and detection of hard-to-inspect locations in unitised structures.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100136
Funder
Australian Research Council
Funding Amount
$557,389.00
Summary
Large-volume, multi-use micro-computed tomography. This project aims to augment the existing X-ray micro-computed tomography (CT) scanning capabilities in South Australia and Australia by introducing a large-volume micro-CT scanner. This will enable three-dimensional scanning of large and heavy samples including whole machine parts, limbs/segments, prosthesis devices, large animals and vertebrates, fossils and plant root systems. The project expects to allow experimental testing rigs to be plac ....Large-volume, multi-use micro-computed tomography. This project aims to augment the existing X-ray micro-computed tomography (CT) scanning capabilities in South Australia and Australia by introducing a large-volume micro-CT scanner. This will enable three-dimensional scanning of large and heavy samples including whole machine parts, limbs/segments, prosthesis devices, large animals and vertebrates, fossils and plant root systems. The project expects to allow experimental testing rigs to be placed inside the scanner to test samples, such as mechanical testing of femurs or medical devices, while scanning, to study the structure-function relationships. This will build unlimited computer simulations of mechanical tests, valuable for precious specimens. Benefits will include aiding in risk reduction, decision making on products and a higher quality workforce.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.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
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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100079
Funder
Australian Research Council
Funding Amount
$267,000.00
Summary
Advanced digital image correlation facility. This project aims to establish a facility that analyses three-dimensional and transient events for nearly any type of application, material and size scale. Digital Image correlation technologies are widely used to measure displacements and strains due to their accuracy, robustness, versatility and overall ease of use. This project will characterise materials from quasi-static to ballistic range of loading, crucial to develop and validate advanced anal ....Advanced digital image correlation facility. This project aims to establish a facility that analyses three-dimensional and transient events for nearly any type of application, material and size scale. Digital Image correlation technologies are widely used to measure displacements and strains due to their accuracy, robustness, versatility and overall ease of use. This project will characterise materials from quasi-static to ballistic range of loading, crucial to develop and validate advanced analytical and numerical models. The proposed infrastructure is expected to enhance experimental capabilities, and foster collaborative research across mechanical, civil, mining, sports, aerospace, automotive, marine and materials engineering.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100089
Funder
Australian Research Council
Funding Amount
$185,000.00
Summary
A tool to observe nanoscale deformation by transmission Kikuchi diffraction. A tool to observe nanoscale deformation by transmission Kikuchi diffraction:
This project seeks to establish an advanced in-situ characterisation capability for understanding the nanoscale processes that govern the properties of materials and how microstructures change during straining. A custom-designed mechanical straining device will operate within a scanning electron microscope configured for orientation mapping wi ....A tool to observe nanoscale deformation by transmission Kikuchi diffraction. A tool to observe nanoscale deformation by transmission Kikuchi diffraction:
This project seeks to establish an advanced in-situ characterisation capability for understanding the nanoscale processes that govern the properties of materials and how microstructures change during straining. A custom-designed mechanical straining device will operate within a scanning electron microscope configured for orientation mapping with the new technique of transmission Kikuchi diffraction. The facility, which would be the first in the world, is designed to have a very high spatial structural resolution of only a few nanometres for crystal orientation mapping and can be operated at temperatures up to 400 °C. The resulting knowledge may provide guidance for the design of structural materials and materials processing with applications in aerospace, transportation and medical devices.Read moreRead less