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Damage Size Quantification Using Lamb Waves by Analytical Model Identification

Communication avec acte

BRIAND, William;

RÉBILLAT, Marc;

GUSKOV, Mikhail;

MECHBAL, Nazih (Springer International Publishing, 2022-06)

Experimental Damage Localization and Quantification with a Numerically Trained Convolutional Neural Network

Communication avec acte

POSTORINO, Hadrien;

MONTEIRO, Eric;

RÉBILLAT, Marc;

MECHBAL, Nazih (Springer International Publishing, 2022-06)

Detection, localization, and quantification of corrosion damage using Lamb Waves for the structural health monitoring of aluminum aeronautics structures

Communication avec acte

LIEGEY, Julie;

BRIAND, William;

RÉBILLAT, Marc;

EL MAY, Mohamed;

DEVOS, Olivier;

MECHBAL, Nazih (Springer, 2022-07-04)

Transfer Learning to close the gap between experimental and numerical data

Communication sans acte

POSTORINO, Hadrien;

MONTEIRO, Eric;

RÉBILLAT, Marc;

MECHBAL, Nazih (CBM Academy, 2022-05)

In-situ monitoring of µm-sized electrochemically generated corrosion pits using Lamb waves managed by a sparse array of piezoelectric transducers

Article dans une revue avec comité de lecture

NICARD, Cyril;

RÉBILLAT, Marc;

DEVOS, Olivier;

EL MAY, Mohamed;

LETELLIER, Frederic; DUBENT, Sébastien; THOMACHOT, M.; FOURNIER, M.; MASSE, P.;

MECHBAL, Nazih (Elsevier BV, 2025-03)

Single atom convolutional matching pursuit: Theoretical framework and application to Lamb waves based structural health monitoring

Article dans une revue avec comité de lecture

RODRIGUEZ, Sebastian;

RÉBILLAT, Marc;

PAUNIKAR, Shweta;

MARGERIT, Pierre;

MONTEIRO, Eric;

CHINESTA SORIA, Francisco;

MECHBAL, Nazih (Elsevier BV, 2025-06)

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Damage Size Quantification Using Lamb Waves by Analytical Model Identification

Experimental Damage Localization and Quantification with a Numerically Trained Convolutional Neural Network

Detection, localization, and quantification of corrosion damage using Lamb Waves for the structural health monitoring of aluminum aeronautics structures

Transfer Learning to close the gap between experimental and numerical data

In-situ monitoring of µm-sized electrochemically generated corrosion pits using Lamb waves managed by a sparse array of piezoelectric transducers

Single atom convolutional matching pursuit: Theoretical framework and application to Lamb waves based structural health monitoring