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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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Ostachowicz, Wiesław
Polish Academy of Sciences
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2023Deep learning for automatic assessment of breathing-debonds in stiffened composite panels using non-linear guided wave signalscitations
- 2022Shear Strain Singularity-Inspired Identification of Initial Delamination in CFRP Laminates: Multiscale Modulation Filter for Extraction of Damage Features
- 2022Electromechanical impedance based debond localisation in a composite sandwich structurecitations
- 2021Extended Non-destructive Testing for the Bondline Quality Assessment of Aircraft Composite Structurescitations
- 2021Adhesive Bonding of Aircraft Composite Structures
- 2020Nonlinear elastic wave propagation and breathing-debond identification in a smart composite structurecitations
- 2019Nondestructive analysis of core-junction and joint-debond effects in advanced composite structurecitations
- 2019Ultrasonic Lamb wave-based debonding monitoring of advanced honeycomb sandwich composite structurescitations
- 2019Effects of debonding on Lamb wave propagation in a bonded composite structure under variable temperature conditionscitations
- 2019Ultrasonic guided wave propagation in a repaired stiffened composite panelcitations
- 2019Damage-induced acoustic emission source monitoring in a honeycomb sandwich composite structurecitations
- 2018Damage-induced acoustic emission source identification in an advanced sandwich composite structurecitations
- 2018Online detection of barely visible low-speed impact damage in 3D-core sandwich composite structurecitations
- 2015Embedded Damage Localization Subsystem Based on Elastic Wave Propagationcitations
- 2014Calibration Problem of AD5933 Device for Electromechanical Impedance Measurements
- 2014Damage Detection in Composites by Noncontact Laser Ultrasonic
- 2013Embedded Signal Processing Subsystem for SHM
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article
Shear Strain Singularity-Inspired Identification of Initial Delamination in CFRP Laminates: Multiscale Modulation Filter for Extraction of Damage Features
Abstract
<jats:p>Identification of initial delamination is crucial to ensure the safety of the fiber-reinforced laminated composite structures. Amongst the identification approaches based on mode shapes, the concept of multiscale shear-strain gradient (MSG) has an explicit physical sense of characterizing delamination-induced singularity of shear strains; moreover, it is robust against noise interference owing to the merits of multiscale analysis. However, the capacity of the MSG for identifying initial delamination is insufficient because the delamination-induced singularity peak can be largely obscured by the global component of the MSG. Addressing this problem, this study proposes an enhanced approach for identifying initial delamination in fiber-reinforced composite laminates. In particular, the multiscale modulation filter (MMF) is proposed to modulate the MSG with the aim of focusing on damage features, by which a new concept of enhanced MSG (EMSG) is formulated to extract damage features. By taking advantage of the MMF with the optimal frequency translation parameters, the EMSG is concentrated in a narrow wavenumber band, which is dominated by the damage-induced singularity peak. As a consequence, the delamination-induced singularity peak in the EMSG can be isolated from the global component. The capacity of the approach for identifying initial delamination is experimentally validated on a carbon fiber reinforced polymer (CFRP) laminate, whose mode shapes are acquired via non-contact laser measurement. The experimental results reveal that the EMSG-based approach is capable of graphically characterizing the presence, location, and size of initial delamination in CFRP laminates.</jats:p>