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Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using acoustic emission

Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using acoustic emission
Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using acoustic emission
This study focuses on the clustering of the indentation-induced interlaminar and intralaminar damages in carbon/epoxy laminated composites using Acoustic Emission (AE) technique. Two quasi-isotropic specimens with layups of [60/0/-60]4S (is named dispersed specimen) and [604/04/-604]S (is named blocked specimen) were fabricated and subjected to a quasi-static indentation loading. The mechanical data, digital camera and ultrasonic C-scan images of the damaged specimens showed different damage evolution behaviors for the blocked and dispersed specimens. Then, the AE signals of the specimens were clustered for tracking the evolution behavior of different damage mechanisms. In order to select a reliable clustering method, the performance of six different clustering methods consisting of k-Means, Genetic k-Means, Fuzzy C-Means, Self-Organizing Map (SOM), Gaussian Mixture Model (GMM), and hierarchical model were compared. The results illustrated that hierarchical model has the best performance in clustering of AE signals. Finally, the evolution behavior of each damage mechanism was investigated by the clustered AE signals with hierarchical model. The results of this study show that using AE technique with an appropriate clustering method such as hierarchical model could be an applicable tool for structural health monitoring of composite structures.
acoustic emission, clustering methods, damage mechanisms, indentation loading, laminated composites
1359-8368
206-219
Saeedifar, Milad
4915d58c-6442-44d9-85f9-793182919c34
Najafabadi, Mehdi Ahmadi
174ae06e-8827-4774-995d-474aa2ab5573
Zarouchas, Dimitrios
de780221-6fe0-4b6f-a099-29bc74064430
Toudeshky, Hossein Hosseini
2ed4def1-e1bd-458b-ab71-fbe74de2c5e2
Jalalvand, Meisam
21ef0df8-fc7c-4466-a2fc-ee98ed3408a2
Saeedifar, Milad
4915d58c-6442-44d9-85f9-793182919c34
Najafabadi, Mehdi Ahmadi
174ae06e-8827-4774-995d-474aa2ab5573
Zarouchas, Dimitrios
de780221-6fe0-4b6f-a099-29bc74064430
Toudeshky, Hossein Hosseini
2ed4def1-e1bd-458b-ab71-fbe74de2c5e2
Jalalvand, Meisam
21ef0df8-fc7c-4466-a2fc-ee98ed3408a2

Saeedifar, Milad, Najafabadi, Mehdi Ahmadi, Zarouchas, Dimitrios, Toudeshky, Hossein Hosseini and Jalalvand, Meisam (2018) Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using acoustic emission. Composites Part B: Engineering, 144, 206-219. (doi:10.1016/j.compositesb.2018.02.028).

Record type: Article

Abstract

This study focuses on the clustering of the indentation-induced interlaminar and intralaminar damages in carbon/epoxy laminated composites using Acoustic Emission (AE) technique. Two quasi-isotropic specimens with layups of [60/0/-60]4S (is named dispersed specimen) and [604/04/-604]S (is named blocked specimen) were fabricated and subjected to a quasi-static indentation loading. The mechanical data, digital camera and ultrasonic C-scan images of the damaged specimens showed different damage evolution behaviors for the blocked and dispersed specimens. Then, the AE signals of the specimens were clustered for tracking the evolution behavior of different damage mechanisms. In order to select a reliable clustering method, the performance of six different clustering methods consisting of k-Means, Genetic k-Means, Fuzzy C-Means, Self-Organizing Map (SOM), Gaussian Mixture Model (GMM), and hierarchical model were compared. The results illustrated that hierarchical model has the best performance in clustering of AE signals. Finally, the evolution behavior of each damage mechanism was investigated by the clustered AE signals with hierarchical model. The results of this study show that using AE technique with an appropriate clustering method such as hierarchical model could be an applicable tool for structural health monitoring of composite structures.

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More information

Accepted/In Press date: 27 February 2018
e-pub ahead of print date: 2 March 2018
Published date: 1 July 2018
Keywords: acoustic emission, clustering methods, damage mechanisms, indentation loading, laminated composites

Identifiers

Local EPrints ID: 446795
URI: http://eprints.soton.ac.uk/id/eprint/446795
ISSN: 1359-8368
PURE UUID: 0c85d6fb-5156-42a2-9df8-7d6dc8d7ff39
ORCID for Meisam Jalalvand: ORCID iD orcid.org/0000-0003-4691-6252

Catalogue record

Date deposited: 23 Feb 2021 17:30
Last modified: 16 Sep 2021 11:14

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Contributors

Author: Milad Saeedifar
Author: Mehdi Ahmadi Najafabadi
Author: Dimitrios Zarouchas
Author: Hossein Hosseini Toudeshky

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