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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389177/ https://www.ncbi.nlm.nih.gov/pubmed/35991970 http://dx.doi.org/10.1016/j.heliyon.2022.e10063 |