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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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Pickering, Simon G.
University of Bath
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2017Distance Estimation by Fusing Radar and Monocular Camera with Kalman Filter
- 2017Nonlinear imaging of damage in composite structures using sparse ultrasonic sensor arrayscitations
- 2014Nonlinear damage detection in composite structures using bispectral analysiscitations
- 2014Analysis of the delamination detection capabilities of pulse stimulated thermographic nondestructive testing techniques
- 2014Failure analysis of impact-damaged/hygrothermally aged fiber-reinforced polymer matrix composite joints subjected to bend loading
- 2014Analysis of the defect detection capabilities of pulse stimulated thermographic NDE techniquescitations
- 2013Transient thermography testing of unpainted thermal barrier coating (TBC) systemscitations
- 2013LED optical excitation for the long pulse and lock-in thermographic techniquescitations
- 2012Damage assessment of impact damages on CFRP with laser shearography
- 2011A comparison of the pulsed, lock-in and frequency modulated thermography nondestructive evaluation techniquescitations
- 2010Comparison of the defect detection capabilities of flash thermography and vibration excitation shearographycitations
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article
Nonlinear imaging of damage in composite structures using sparse ultrasonic sensor arrays
Abstract
In different engineering fields, there is a strong demand for diagnostic methods able to provide detailed information on material defects. Low velocity impact damage can considerably degrade the integrity of structural components and, if not detected, can result in catastrophic failures. This paper presents a nonlinear structural health monitoring imaging method, based on nonlinear elastic wave spectroscopy, for the detection and localisation of nonlinear signatures on a damaged composite structure. The proposed technique relies on the bispectral analysis of ultrasonic waveforms originated by a harmonic excitation and it allows for the evaluation of second order material nonlinearities due to the presence of cracks and delaminations. This nonlinear imaging technique was combined with a radial basis function approach in order to achieve an effective visualisation of the damage over the panel using only a limited number of acquisition points. The robustness of bispectral analysis was experimentally demonstrated on a damaged carbon fibre reinforced plastic (CFRP) composite panel, and the nonlinear source’s location was obtained with a high level of accuracy. Unlike other ultrasonic imaging methods for damage detection, this methodology does not require any baseline with the undamaged structure for the evaluation of the defect, nor a priori knowledge of the mechanical properties of the specimen.