Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using Acoustic Emission
By M. Saeedifar, Mehdi Ahmadi Najafabadi, Dimitrios Zarouchas, H. H. Toudeshky, M. Jalalvand. Composites Part B: Engineering, 2018
170 citations recorded by the source corpus.
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.
Subfields: Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/4d4b6d2058b3645e1f136c494af4868852db75c6
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In Mechanics of Materials
Citations in the corpus
- Barely visible impact damage assessment in laminated composites using acoustic emission (2018, methodology): “In our previous research [32], the performance of six different clustering methods to classify the AE signals of interlaminar and intralaminar damage mechanisms in specimens SD and SB under quasistatic indentation loading is compared and finally, three damage mechanisms containing matrix cracking, f”
- Damage characterization of laminated composites using acoustic emission: A review (2020, unknown): “Saeedifar et al. [5] compared the performance of six different unsupervised clustering techniques, including k-means, FCM, GKM, SOM, GMD, and hierarchical for partitioning the AE data of CFRP laminates, subjected to the indentation load.”