Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach

Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach

This work presents a hybrid thermography, computational, and Artificial Neural Networks (ANN) approach to characterize beneath the surface defects in composites. Computational simulations are created to model thermography experiments carried out on composite plates with controlled damage in the form...

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Bibliographic Details
Main Authors: Khaled S. Al-Athel, Motaz M. Alhasan, Ahmed S. Alomari, Abul Fazal M. Arif
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Heliyon
Subjects:
Thermography
Computational analysis
ANN
Composites
Defects
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022013512

Internet

http://www.sciencedirect.com/science/article/pii/S2405844022013512

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