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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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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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Recoquillay, Arnaud
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- 2024A Hybrid Actuator Model for Efficient Guided Wave-Based Structural Health Monitoring Simulations
- 2023Self-referenced robust guided wave based defect detection: application to woven composite parts of complex shapecitations
- 2023Ultrasonic Guided Waves Measurements using Bragg Gratings in Optical Fibers under Varying Environmental Conditionscitations
- 2023Ultrasonic guided waves measurements using Fiber Bragg Gratings on optical fibers under varying environmental conditionscitations
- 2021Experimental validation of transient spectral finite element simulation tools dedicated to guided wave based structural health monitoringcitations
- 2019Guided wave imaging of a composite plate using passive acquisitons by Fiber Bragg Gratings on optical fibers
- 2018Linear Sampling Method applied to Non Destructive Testing of an elastic waveguide: theory, numerics and experiments
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article
Linear Sampling Method applied to Non Destructive Testing of an elastic waveguide: theory, numerics and experiments
Abstract
This paper presents an application of the Linear Sampling Method to ultrasonic Non Destructive Testing of an elastic waveguide. In particular, the NDT context implies that both the solicitations and the measurements are located on the surface of the waveguide and are given in the time domain. Our strategy consists in using a modal formulation of the Linear Sampling Method at multiple frequencies, such modal formulation being justified theoretically in [1] for rigid obstacles and in [2] for cracks. Our strategy requires the inversion of some emission and reception matrices which deserve some special attention due to potential ill-conditioning. The feasibility of our method is proved with the help of artificial data as well as real data.