| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Smith, Robert A.
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2019A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materialscitations
- 2019Fibre direction and stacking sequence measurement in carbon fibre composites using Radon transforms of ultrasonic datacitations
- 2018Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current datacitations
- 2018A numerical study on the influence of composite wrinkle defect geometry on compressive strengthcitations
- 2018Ply-orientation measurements in composites using structure-tensor analysis of volumetric ultrasonic datacitations
- 2018Ultrasonic Analytic-Signal Responses from Polymer-Matrix Composite Laminatescitations
- 20183D ultrasound characterization of woven compositescitations
- 2017Reshaping the testing pyramid: utilisation of data-rich NDT techniques as a Means to Develop a ‘High Fidelity’ Component and Sub-structure Testing Methodology for Composites
- 2017Ultrasonic detection and sizing of compressed cracks in glass- and carbon-fibre reinforced plastic compositescitations
- 2016Acoustic characterization of void distributions across carbon-fiber composite layerscitations
- 2016Acoustic characterization of void distributions across carbon-fiber composite layerscitations
- 2016Ultrasonic tracking of ply drops in composite laminatescitations
- 2016Non-destructive characterisation of composite microstructures
- 2015Progress in non-destructive 3D characterization and modelling of aerospace composites
- 2014Toward the 3D characterisation of GLARE and other fibre-metal laminate composites
- 2014Methods for fibre-orientation characterisation in monolithic carbon-fibre composites
- 20133D characterisation of fibre orientation and resulting material properties
- 2010Use of 3D ultrasound data sets to map the localised properties of fibre-reinforced composites
- 2010Use of 3D ultrasound data sets to map the localised properties of fibre-reinforced composites.
Places of action
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document
Reshaping the testing pyramid: utilisation of data-rich NDT techniques as a Means to Develop a ‘High Fidelity’ Component and Sub-structure Testing Methodology for Composites
Abstract
A key issue in the certification of composite structures is the heavy reliance on ‘coupon level’ tests that do not always translate well to the sub-structure, component and full scale structural behaviour within a ‘building block’ or ‘testing pyramid’ framework. This has a strong bearing on the certification process as many of the design allowables and failure predictions are determined from the behaviour of coupon specimens. The overarching aim of this work is to develop an understanding into the behaviour of composites at the larger sub-component scales, which better represent the in-service behaviour of these structures, reducing the reliance on extensive coupon level testing. This requires non-destructive testing (NDT) methods that are scalable to large components. This study investigates the feasibilities of Thermoelastic Stress Analysis (TSA) and Digital Image Correlation (DIC) as scalable strain based NDT methods that provide full-field information to study the effects of defects on structural composite components. Both techniques are successfully demonstrated showing their capability for detecting the detrimental effects of fibre waviness (wrinkles) on a thick non-generic composite component. X-ray computed tomography (CT) is used to validate the observations made with the two strain based NDT techniques.