| 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 |
|
Lesselier, Dominique
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2024Identification and characterization of damaged fiber-reinforced laminates in a Bayesian frameworkcitations
- 2024GPR for Tree Roots Reconstruction under Heterogeneous Soil Conditions
- 2023Identification and characterization of damaged fiber-reinforced laminates in a Bayesian framework
- 2022Data fusion and non-destructive testing of damaged fiber-reinforced laminates
- 2021Ultrasonic array imaging of nuclear austenitic V-shape welds with Inhomogeneous and unknown anisotropic propertiescitations
- 2021A wavelet-based contrast source inversion methodcitations
- 2019Adaptive TFM imaging in anisotropic steels using optimization algorithms coupled to a surrogate model
- 2019Fast 3D model dedicated to thermographic inspections of planar composite structures
- 2016On recent advances and issues ahead in modeling and electromagnetic imaging of perturbed composite laminates
- 2016A new optimization method for solving electromagnetic inverse scattering problems
- 2015MUSIC imaging method for low-high frequency inspection of composite multi-layerscitations
- 2015Subspace-based optimization method for reconstructing 3-D scatterers in anisotropic laminates
- 2015Impedance of an induction coil accounting for the end-effect in eddy current inspection of steam generator tubes
- 2015Electromagnetic MUSIC imaging and 3-D retrieval of defects in anisotropic, multi-layered composite materials
- 2014MUSIC imaging method for low-high frequency inspection of composite multi-layerscitations
- 2014Fast calculation of electromagnetic scattering in anisotropic multilayers and its inverse problem
- 2014Low-high frequency inspection of composite multi-layers and MUSIC-type electromagnetic imaging
- 2012Eddy current modeling of narrow cracks in planar-layered metal structurescitations
- 2008New discretisation scheme based on splines for volume integral method: Application to eddy current testing of tubescitations
- 2008Hybridization of volumetric and surface models for the computation of the T/R EC probe response due to a thin opening flawcitations
- 2008Multi-static response of spherical scatterers and the back-propagation of singular fieldscitations
- 2007Volumetric and surface flaw models for the computation of the EC T/R probe signal due to a thin opening flaw
Places of action
| Organizations | Location | People |
|---|
conferencepaper
Fast calculation of electromagnetic scattering in anisotropic multilayers and its inverse problem
Abstract
International audience ; How to electromagnetically test damaged anisotropic multilayers like planar composite panels applied in aeronautic and automotive industry is a difficult question to solve: one needs fast and robust inversion algorithms aimed at measuring transforming fields (in high- frequency cases, microwaves) or impedances (in low-frequency cases, eddy-currents) and transforming the results into images amenable to end-users’ decision about the damages. Besides, it is also important to have the results in close-to-real-time. Yet one also needs accurate modeling of the multilayers’ responses to the electromagnetic sources at preliminary forward stage.Here, one proposes a comprehensive solution aimed at modeling the scattering by such multilayers, in harmony with [1-2]. It involves particularly the fast calculation of dyadic Green’s functions for uniaxial multilayers and the response of sources distributed within, and solutions of the associated inverse problems in the hypothesis of small defects. The Green’s functions have to be accurate even when the sources are far away from the origin, which yields a fast-oscillating spectrum of the dyads, as carefully considered in the present contribution. The material of defects could be isotropic, like voids or fluid-filled cavities, or even uniaxial. Here, “small defects” means with respect to the wavelengths or skin-depth of the probing waves at location of the defects depending on the conductivity of the medium.A first-order solution of the direct problem involving possibly anisotropic defects described by the depolarization tensors will be presented and compared to a somewhat brute- force approach involving cutting the small defects into smaller pieces [3].To some extent, the inversion proposed herein is the generalization of the work summarized in [4]. The focus is on MUltiple SIgnal Classification (MUSIC) imaging which calls for the input of dyadic Green’s functions which associate sources assumed in the region of interests, excited by a finite-array input ...