Design of Artificial Neural Networks for Damage Estimation of Composite Laminates: Application to Delamination Failures in Ply Drops

This work presents a data-driven approach based on Artificial Neural Networks (ANN), that benefits from parametric non-linear finite element analyses, in order to provide a “cheaper” numerical alternative to the more expensive experimental testing of advanced composite laminates. The chosen subject...

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Veröffentlicht in:	Composite structures Jg. 304; H. 1; S. 116320
Hauptverfasser:	Mendoza, Arturo, Friderikos, Orestis, Trullo, Roger, Baranger, Emmanuel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.01.2023 Elsevier
Schlagworte:	Artificial Neural Networks Computer Aided Engineering Computer Science Damage mechanics Engineering Sciences Manifold learning Mechanics Mechanics of materials Neural and Evolutionary Computing Neural architecture learning Nonlinear finite element analysis Damage mechanics Nonlinear finite element analysis Manifold learning Artificial Neural Networks Neural architecture learning Artificial Neural Networks (ANN)
ISSN:	0263-8223, 1879-1085
Online-Zugang:	Volltext
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