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Damage Classification of Sandwich Composites Using Acoustic Emission Technique and k-means Genetic Algorithm

Pashmforoush, Farzad; Khamedi, Ramin; Fotouhi, Mohamad; Hajikhani, Milad; Ahmadi, Mehdi


Farzad Pashmforoush

Ramin Khamedi

Mohamad Fotouhi

Milad Hajikhani

Mehdi Ahmadi


© 2014, Springer Science+Business Media New York. In this study acoustic emission (AE) technique was used for monitoring mode I delamination test of sandwich composites. Since, during mode I delamination test various damage mechanisms appear, their classification is of major importance. Hence, integration of k-means algorithm and genetic algorithm was applied as an efficient clustering method to discriminate different failure modes. Performing primary experiments to find the relationship between AE parameters and damage mechanisms, the AE signals of obtained clusters were assigned to distinct damage mechanisms. Also, the dominance of damage mechanisms was determined based on the distribution of AE signals in different clusters. Finally SEM observation was employed to verify obtained results. The results indicate the efficiency of the proposed method in damage classification of sandwich composites.


Pashmforoush, F., Khamedi, R., Fotouhi, M., Hajikhani, M., & Ahmadi, M. (2014). Damage Classification of Sandwich Composites Using Acoustic Emission Technique and k-means Genetic Algorithm. Journal of Nondestructive Evaluation, 33(4), 481-492.

Journal Article Type Article
Acceptance Date Apr 9, 2014
Online Publication Date Apr 29, 2014
Publication Date Jan 1, 2014
Journal Journal of Nondestructive Evaluation
Print ISSN 0195-9298
Electronic ISSN 1573-4862
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 33
Issue 4
Pages 481-492
Keywords damage mechanism, sandwich composite, acoustic emission, clustering analysis
Public URL
Publisher URL
Additional Information Additional Information : The final publication is available at Springer via


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