| 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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Scarselli, Gennaro
University of Salento
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2023Interfacial properties of carbon fiber‐reinforced biobased resin composites by single fiber fragmentation, fiber push‐out, and interlaminar shear strengthcitations
- 2020Mode-II fracture behaviour of aerospace-grade carbon fibre/epoxy composites interleaved with thermoplastic veilscitations
- 2020Significantly enhanced structural integrity of adhesively bonded PPS and PEEK composite joints by rapidly UV-irradiating the substratescitations
- 2019Stress relaxation in asymmetric bistable composites: Experiments and simulationscitations
- 2017Adhesive joints with improved mechanical properties for aerospace applicationscitations
- 2017Nonlinear imaging of damage in composite structures using sparse ultrasonic sensor arrayscitations
- 2016An Analytical Model for Defect Depth Estimation Using Pulsed Thermographycitations
- 2015Structural behaviour modelling of bolted joints in composite laminates subjected to cyclic loadingcitations
- 2015Nonlinear imaging method using second order phase symmetry analysis and inverse filteringcitations
- 2015Modelling of Thermal Wave Propagation in Damaged Composites with Internal Source
- 2015Modeling of thermal wave propagation in damaged composites with internal source
- 2014Nonlinear damage detection in composite structures using bispectral analysiscitations
- 2014Nonlinear damage detection in composite structures using bispectral analysiscitations
Places of action
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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.