عنوان مجله
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JOURNAL OF NONDESTRUCTIVE EVALUATION
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چکیده
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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.
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