Impact resistance and damage tolerance of fiber reinforced composites: A review

Low-velocity impact response of composite sandwich structures: Modelling and experiment

https://hal.archives-ouvertes.fr/hal-01997671/document

Assessment of failure criteria and damage evolution methods for composite laminates under low-velocity impact

Review and benchmark study on the analysis of low-velocity impact on composite laminates

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.

/pdf/clustering-of-interlaminar-and-intralaminar-damages-in-2gnj5qmatx.pdf

B.B. Liao

Papers

Finite element analysis of dynamic progressive failure of plastic composite laminates under low velocity impact