| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
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
| Organizations | Location | People |
|---|
document
On the structural health monitoring of carbon fiber reinforced nanofilled matrix by the resistance variation method
Abstract
In this work, electrical resistance change method is used for Carbon Fiber Reinforced Thermoplastic Polymers (CFRTP) damage monitoring. The electrical resistance couldbe an interesting complementary to existing/classical damage monitoring methods. It is extremely attributed to electrical conductivity of composite material and it appears that enhancing the conductivity of materials, by the use of conductive nanofillers in our case, improves their sensitivity to mechanical loading. CFRTP with different nanofillers types and concentrations were manufactured and tested in tensile loading. Concentration of 0 and 8wt % of carbon black (CB) and 2.5wt % of carbon nanotubes (CNT) were used with Polyamide 6 sheets as matrix. Nanofillers weakening effect was discussed according to their concentrations and types. The acoustic emission (AE), digital image correlation (DIC) and in situ microscopy were also recorded during testing. A correlation between all these signals and the evolution of the electrical resistance of the composites during the tensile loading was performed. It was found that CB enhances sensitivity of CFRTP to damage detection, especially delamination. For the CNT, results are less promising. A discussion is held about the nanofillers concentration influence.