Deep Autoencoder Framework for Classifying Damage Mechanisms in Repaired CFRP

Deep Autoencoder Framework for Classifying Damage Mechanisms in Repaired CFRP

This study investigates the classification of damage modes in adhesively bonded carbon fiber-reinforced plastic (CFRP) composites, a critical factor in advancing lightweight automotive design. Adhesive bonding, replacing traditional riveting, improves structural integrity while reducing weight and C...

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Bibliographic Details
Main Authors: Claudia Barile, Caterina Casavola, Dany Katamba Mpoyi, Giovanni Pappalettera
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
acoustic emission
deep autoencoder
k-means
CFRP composites
adhesive bonding
joggled lap shear joints
Online Access:https://www.mdpi.com/2076-3417/15/3/1209

Internet

https://www.mdpi.com/2076-3417/15/3/1209

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