Probabilistic machine learning-based modelling of Mode-I delamination in CFRP laminates using conditional variational autoencoders

Lightweight composite materials are widely used in engineering applications due to their high strength-to-weight ratio; however, their susceptibility to fracture necessitates accurate characterization of fracture behaviour to ensure structural integrity and fail-safe design. A key parameter governin...

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Bibliografische gegevens

Hoofdauteurs:	Sumeet Kumar Yadav, Azhar Jamil, Anton Kuzmin, Mohd Talha, Manas Saxena
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IOP Publishing 2026-01-01
Reeks:	Materials Research Express
Onderwerpen:	CFRP laminates Mode I crack growth interlaminar fracture conditional variational autoencoder (CVAE) probabilistic modelling finite element analysis
Online toegang:	https://doi.org/10.1088/2053-1591/ae8b82
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