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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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Chinchilla, Sergio Cantero
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2024Uncertainty quantification of damage localization based on a probabilistic convolutional neural networkcitations
- 2021Bayesian damage localization and identification based on a transient wave propagation model for composite beam structurescitations
- 2021Structural health monitoring using ultrasonic guided-waves and the degree of health indexcitations
- 2021A homogenisation scheme for ultrasonic Lamb wave dispersion in textile composites through multiscale wave and finite element modellingcitations
- 2020Ultrasonic guided wave testing on cross-ply composite laminatecitations
- 2020A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurementscitations
- 2017A multilevel Bayesian method for ultrasound-based damage identification in composite laminatescitations
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article
A homogenisation scheme for ultrasonic Lamb wave dispersion in textile composites through multiscale wave and finite element modelling
Abstract
<p>In this work, homogenisation of textile composite models is studied in order to increase the accuracy of wave dispersion predictions in such complex structures. A multiscale methodology is formed involving (i) calculation of the ultrasonic wave propagation through a detailed mesoscale finite element model of the textile and (ii) updating the mechanical properties of a semi-analytical finite element (SAFE) model to match the accurate mesoscale predictions. The speeds of the first shear (SH<sub>0</sub>) and Lamb wave modes (A<sub>0</sub> and S<sub>0</sub>) are used to define the objective function to minimise in an inversion process based on genetic algorithms. The algorithm is tested on an orthotropic plate structure whose all nine unknown elastic moduli are successfully reconstructed and is then applied to three different numerical models. We demonstrate both numerically and experimentally that the proposed scheme provides more accurate dispersion characteristics compared to the ones obtained through the statically measured mechanical properties.</p>