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

Communication avec acte

POSTORINO, Hadrien;

MONTEIRO, Eric;

REBILLAT, 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;

REBILLAT, 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;

REBILLAT, Marc;

MECHBAL, Nazih (CBM Academy, 2022-05)

Fusion of SHM techniques for synergetic degradation monitoring of composite aircraft wing structure under compression fatigue

Communication sans acte

YUE, Nan; BROER, Agnes; GALANOPOULOS, Georgios;

BRIAND, William;

REBILLAT, Marc;

LOUTAS, Theodoros;

ZAROUCHAS, Dimitrios (CBM Academy, 2022-05)

Damage Size Quantification Using Lamb Waves by Analytical Model Identification

Communication avec acte

BRIAND, William;

REBILLAT, Marc; GUSKOV, Mikhail;

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

Lamb waves scattering model for identification of damage parameters

Communication sans acte

BRIAND, William;

REBILLAT, Marc; GUSKOV, Mikhail;

MECHBAL, Nazih (CBM Academy, 2022-05)

Systems and methods for controlling and implantable blood pump

Brevet

SCHEFFLER, Mattias; BARABINO, Nicolas;

REBILLAT, Marc;

MONTEIRO, Eric;

MECHBAL, Nazih (2022-03)

Improvement of the self‐assembly of low χ ABA triblock copolymers with the addition of an ionic liquid

Article dans une revue avec comité de lecture

GULIYEVA, Aynur; PUNG, Hélène; TENCE-GIRAULT, Sylvie;

REBILLAT, Marc;

SERGHEI, Anatoli;

GERVAIS, Matthieu;

SOLLOGOUB, Cyrille;

ROLAND, Sébastien (Online Library Wiley, 2022-11)

Domain decomposition involving subdomain separable space representations for solving parametric problems in complex geometries

Article dans une revue avec comité de lecture

KAZEMZADEH-PARSI, Mohammad-Javad;

AMMAR, Amine; CHINESTA, Francisco (Springer, 2022)

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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

Fusion of SHM techniques for synergetic degradation monitoring of composite aircraft wing structure under compression fatigue

Damage Size Quantification Using Lamb Waves by Analytical Model Identification

Lamb waves scattering model for identification of damage parameters

Systems and methods for controlling and implantable blood pump

Improvement of the self‐assembly of low χ ABA triblock copolymers with the addition of an ionic liquid

Domain decomposition involving subdomain separable space representations for solving parametric problems in complex geometries