Machine learning for crack detection in an anisotropic electrically conductive nano-engineered composite interleave with realistic geometry

DOI10.1016/J.IJENGSCI.2024.104171MaRDI QIDQ6663498

Stepan V. Lomov, Sergey G. Abaimov, Iskander S. Akmanov, Mikhail Y. Spasennykh

Publication date: 14 January 2025

Published in: International Journal of Engineering Science (Search for Journal in Brave)

zbMATH Keywords

machine learningA. laminatesA. nano-structuresB. defectsC. computational modelling

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Computer science (68-XX)

Cites Work

• A direct reconstruction method for anisotropic electrical impedance tomography
• Electrical impedance tomography in anisotropic media with known eigenvectors

This page was built for publication: Machine learning for crack detection in an anisotropic electrically conductive nano-engineered composite interleave with realistic geometry

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6663498)