Código QR (código de barras bidimensional)

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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Principais autores: Sumeet Kumar Yadav, Azhar Jamil, Anton Kuzmin, Mohd Talha, Manas Saxena
Format: Artigo
Sprog:Inglês
Udgivet: IOP Publishing 2026-01-01
Serier:Materials Research Express
Fag:
CFRP laminates
Mode I crack growth
interlaminar fracture
conditional variational autoencoder (CVAE)
probabilistic modelling
finite element analysis
Online adgang:https://doi.org/10.1088/2053-1591/ae8b82
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