| 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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Harizi, Walid
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2024A variable kinematic multi-field model for lamb wave propagation analysis in smart composite panelscitations
- 2024Electrical capacitance and mechanical performances of embedded piezo-polymer transducers in polymer-matrix composites under monotonic tensile tests
- 2024A Global-Local Modelling Approach for Wave Propagation, SHM and Damage Detection in Reinforced Panels Using Integrated Piezoelectric Sensorscitations
- 2023STRUCTURAL HEALTH MONITORING (SHM) OF SMART SANDWICH COMPOSITES DURING THREE-POINT BENDING TESTScitations
- 2023Integration method of at least one piezoelectric transducer within polymer and composite parts manufactured using 3d printing techniques
- 2023ADVANCED MULTIFIELD MODELS FOR WAVE PROPAGATION ANALYSIS IN SMART COMPOSITE PANELS
- 2022Understanding the damage mechanisms in 3D layer-to-layer woven composites from thermal and acoustic measurementscitations
- 2022Understanding the damage mechanisms in 3D layer-to-layer woven composites from thermal and acoustic measurementscitations
- 2021Evaluation of the crosslinking steps of an unsaturated polyester resin during the infusion process of polymer-matrix composites using embedded PZT transducercitations
- 2021Damage monitoring of a polymer-matrix composite (PMC) subjected to 4-point bending tests using an embedded piezoceramic transducer
- 2020Mechanical Characterization of Composite GRC Under Different Solicitations
- 2019On the use of the electrical resistance for rapid determination of the endurance limit of carbon fibers/PPSU thermoplastic composites during the self-heating tests
- 2019Infusion process monitoring of polymer-matrix composite using an in-situ piezoelectric sensor
- 2019On the structural health monitoring of carbon fiber reinforced nanofilled matrix by the resistance variation method
- 2019REAL-TIME MONITORING OF THE INFUSION PROCESS OF A POLYMER-MATRIX COMPOSITE WITH AN EMBEDDED PIEZOELECTRIC TRANSDUCER.
- 2019STRUCTURAL HEALTH MONITORING OF SMART POLYMER-MATRIX COMPOSITE DURING CYCLIC LOADING USING AN IN-SITU PIEZOELECTRIC SENSOR.
- 2019REAL-TIME MONITORING OF THE INFUSION PROCESS OF A POLYMER-MATRIX COMPOSITE WITH AN EMBEDDED PIEZOELECTRIC TRANSDUCER
- 2015Mechanical damage characterization of glass fiber-reinforced polymer laminates by ultrasonic mapscitations
- 2014Mechanical damage assessment of polymer-matrix composites using active infrared thermographycitations
- 2012Damage characterization of polymer-matrix composites using a non-destructive multi-technique approach
Places of action
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conferencepaper
ADVANCED MULTIFIELD MODELS FOR WAVE PROPAGATION ANALYSIS IN SMART COMPOSITE PANELS
Abstract
The use of non-destructive techniques (NDTs) is essential in health monitoring applications. This ensures the inspection of the examined structure without inflicting damage. As ultrasonic wave propagation has been widely used in such applications, it is crucial to understand the modelling parameters for such phenomenon. To accomplish this, higher order finite element models based on the Carrera Unified Formulation (CUF) have been used to study the Lamb wave propagation in composite panels, in a coupled electro-mechanical model where the surface mounted actuators and sensors were modelled. Both fundamental symmetric (S0) and antisymmetric (A0) Lamb wave propagations were considered. The convergence of the plate model was studied under different modelling parameters, including mesh density, to-the-thickness kinematic model and the number of timesteps. The results show that the use of higher order models is necessary to obtain a systematic low error in comparison with the analytical group velocity obtained from the material dispersion curves.