| 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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Yildiz, M.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2025Assessing the fracture and dynamic mechanical performance of CF/PEKK joints bonded with epoxy-based adhesive film for aerospace applications: impact of thermal and cycling hygrothermal conditions
- 2024Annealing impact on mechanical performance and failure analysis assisted with acoustic inspection of carbon fiber reinforced poly‐ether‐ketone‐ketone composites under flexural and compressive loads
- 2024Comprehensive Analysis of Damage Progression in High-performance Thermoplastic Composites Through Multi-instrumental Structural Health Monitoring Approaches
- 2024Palladium Metal Nanocomposites Based on PEI-Functionalized Nitrogen-Doped Graphene Quantum Dots: Synthesis, Characterization, Density Functional Theory Modeling, and Cell Cycle Arrest Effects on Human Ovarian Cancer Cells.citations
- 2023A novel damage evaluation of CFRPs under mode-I loading by using multi-instrument structural health monitoring methodscitations
- 2023Buckling and fracture analysis of thick and long composite cylinders with cutouts under axial Compression: An experimental and numerical campaigncitations
- 2022Solidification behaviour of austenitic stainless steels during welding and directed energy depositioncitations
- 2021Damage growth and failure detection in hybrid fiber composites using experimental in-situ optical strain measurements and smoothing element analysiscitations
- 2021Failure sequence determination in sandwich structures using concurrent acoustic emission monitoring and postmortem thermographycitations
- 2020A smoothed iFEM approach for efficient shape-sensing applications: Numerical and experimental validation on composite structurescitations
- 2020An experimental implementation of inverse finite element method for real-time shape and strain sensing of composite and sandwich structurescitations
- 2019Microscopic analysis of failure in woven carbon fabric laminates coupled with digital image correlation and acoustic emissioncitations
Places of action
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article
An experimental implementation of inverse finite element method for real-time shape and strain sensing of composite and sandwich structures
Abstract
In this study, the inverse finite element method (iFEM) is experimentally applied to real-time displacement reconstruction of a moderately thick wing-shaped sandwich structure via a network of strain sensors. For this purpose, the iFEM algorithm is incorporated to the kinematic relations of refined zigzag theory (RZT) by considering laminate mechanics of the woven-fabric reinforcement. After a twill-woven wing-shaped structure is manufactured with embedded fiber Bragg grating sensors and surface mounted strain gauges/rosettes, the discrete real-time experimental strains are acquired from these sensors concurrently during a flexural test of the structure. This data is then processed by iFEM algorithm for full-field displacement and strain monitoring. Moreover, the displacement fields at the one edge of the sandwich structure is monitored by digital image correlation (DIC) system simultaneously. Furthermore, the reference displacement solutions are established by performing high-fidelity FEM analysis. Finally, the three-dimensional real-time deformations and strains obtained through iFEM approach show very good consistency when compared to the results of DIC/FEM analysis and experimental strains, respectively. Overall, the present study serves as a comprehensive experimental guidance of iFEM-based shape and strain sensing for its realistic implementation on large-scale composite structures and notably increases technology readiness level of the iFEM methodology.