Cargando…
Unsupervised bivariate data clustering for damage assessment of carbon fiber composite laminates
Damage assessment is a key element in structural health monitoring of various industrial applications to understand well and predict the response of the material. The big uncertainty in carbon fiber composite materials response is because of variability in the initiation and propagation of damage. D...
Autores principales: | May, Zazilah, Alam, M. K., Mahmud, Muhammad Shazwan, Rahman, Noor A’in A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665584/ https://www.ncbi.nlm.nih.gov/pubmed/33186372 http://dx.doi.org/10.1371/journal.pone.0242022 |
Ejemplares similares
-
Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier
por: May, Zazilah, et al.
Publicado: (2021) -
Failure Severity Prediction for Protective-Coating Disbondment via the Classification of Acoustic Emission Signals
por: Rahman, Noor A’in A., et al.
Publicado: (2023) -
Research on Tensile Properties of Carbon Fiber Composite Laminates
por: Wang, Jiayi, et al.
Publicado: (2022) -
Stitching Repair for Delaminated Carbon Fiber/Bismaleimide Composite Laminates
por: Hua, Jiantao, et al.
Publicado: (2022) -
Recent Advances in Nondestructive Method and Assessment of Corrosion Undercoating in Carbon–Steel Pipelines
por: May, Zazilah, et al.
Publicado: (2022)