An innovative way of using the Acoustic Emission (AE) technique is introduced in this research work. The ratio of recorded acoustic energy and the counts recorded for each acoustic event were used for characterizing Carbon Fiber Reinforced Plastic (CFRP) laminates adhesively bonded with and without mechanical fasteners. The cumulative counts and cumulative energy of the recorded acoustic events were used for identifying the critical points of failure under loading of these hybrid joint specimens. The peak amplitude distribution was used for identifying the different damage modes such as delamination, matrix cracking and fiber breakage, albeit, ineffectively. The new parameter energy per count was introduced in this work, which can successfully identify the different damage modes under loading. To differentiate the damage modes using the energy per count, they were clustered using k-means++ pattern recognition technique. The method introduced in this work can estimate the damage modes of the CFRP specimens.
Damage propagation analysis in the single lap shear and single lap shear-riveted CFRP joints by acoustic emission and pattern recognition approach / Barile, Claudia; Casavola, Caterina; Pappalettera, Giovanni; Paramsamy Nadar Kannan, Vimalathithan. - In: MATERIALS. - ISSN 1996-1944. - ELETTRONICO. - 13:18(2020). [10.3390/ma13183963]
Damage propagation analysis in the single lap shear and single lap shear-riveted CFRP joints by acoustic emission and pattern recognition approach
Claudia Barile
;Caterina Casavola;Giovanni Pappalettera;Paramsamy Kannan Vimalathithan
2020-01-01
Abstract
An innovative way of using the Acoustic Emission (AE) technique is introduced in this research work. The ratio of recorded acoustic energy and the counts recorded for each acoustic event were used for characterizing Carbon Fiber Reinforced Plastic (CFRP) laminates adhesively bonded with and without mechanical fasteners. The cumulative counts and cumulative energy of the recorded acoustic events were used for identifying the critical points of failure under loading of these hybrid joint specimens. The peak amplitude distribution was used for identifying the different damage modes such as delamination, matrix cracking and fiber breakage, albeit, ineffectively. The new parameter energy per count was introduced in this work, which can successfully identify the different damage modes under loading. To differentiate the damage modes using the energy per count, they were clustered using k-means++ pattern recognition technique. The method introduced in this work can estimate the damage modes of the CFRP specimens.File | Dimensione | Formato | |
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