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

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

Abstract

© 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.

• Journal Article Type: Article
• Acceptance Date: Apr 9, 2014
• Online Publication Date: Apr 29, 2014
• Publication Date: Jan 1, 2014
• Deposit Date: Oct 16, 2017
• Publicly Available Date: Oct 16, 2017
• 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
• DOI: https://doi.org/10.1007/s10921-014-0243-y
• Keywords: damage mechanism, sandwich composite, acoustic emission, clustering analysis
• Public URL: https://uwe-repository.worktribe.com/output/806161
• Publisher URL: http://dx.doi.org/10.1007/s10921-014-0243-y
• Additional Information: Additional Information : The final publication is available at Springer via http://dx.doi.org/10.1007/s10921-014-0243-y
• Contract Date: Oct 16, 2017