Analysis of the damage mechanisms in mixed-mode delamination of laminated composites using acoustic emission data clustering

Fotouhi, Mohamad; Sadeghi, Seyedali; Jalalvand, Meisam; Ahmadi, Mehdi

doi:10.1177/0892705715598362

Cited by 50 publications

(27 citation statements)

References 31 publications

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“…The FCM is a data clustering method for any two-dimensional data. The dataset is clustered into a predefined number of clusters in FCM [19]. Unlike other data clustering methods, in which all the data points belong to only one cluster, in FCM, the data points belong to all the clusters to some degree.…”

Section: Methodology For Data Clusteringmentioning

confidence: 99%

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Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites

et al. 2021

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Assessing the damage evolution in carbon-fiber-reinforced polymer (CFRP) composites is an intricate task due to their complex mechanical responses. The acoustic emission technique (AE) is a non-destructive evaluation tool that is based on the recording of sound waves generated inside the material as a consequence of the presence of active defects. Proper analysis of the recorded waves can be used for monitoring the damage evolution in many materials, including composites. The acoustic track associated with the entire loading history of the sample or the structures is usually followed by using some descriptors, such as the amplitude of the sound waves and the number of counts. In this study, the acoustic emission in CFRP single-lap shear joints was monitored by using a multiparameter approach based on the contemporary analysis of multiple features, such as the absolute signal level (ASL), initiation frequency, and reverberation frequency, to understand whether a proper combination of them can be adopted for a more robust description of the damage propagation in CFRP structures. For selecting the best features, principal component analysis (PCA) was used. The selected features were classified into different clusters using fuzzy c-means (FCM) data clustering for analyzing the damage modes.

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Section: Methodology For Data Clusteringmentioning

confidence: 99%

“…The detailed procedure for performing FCM on a dataset can be found elsewhere. Both the PCA and FCM are popular data analysis methods and their procedures have been described in the literature over the years [17][18][19]. Hence, they are not provided here.…”

Section: Methodology For Data Clusteringmentioning

confidence: 99%

Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites

et al. 2021

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“…The algorithm for the k-means++ clustering is briefly explained in this section. More detailed information about using this algorithm and the advantages and limitations of this algorithm over other data clustering algorithms can be found elsewhere [28,29].…”

Section: Data Clustering Using K-means++ Pattern Recognitionmentioning

confidence: 99%

Damage Propagation Analysis in the Single Lap Shear and Single Lap Shear-Riveted CFRP Joints by Acoustic Emission and Pattern Recognition Approach

et al. 2020

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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.

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“…Furthermore, low interlaminar strength and the presence of damage/flaws in the material can be identified via the combination of the AE technique and wavelet analysis [20]. The fiber breakage, fiber stripping from the substrate or spalling, matrix cracking, and interfacial can be evaluated and analyzed using AE signals including the amplitude, count, rise time, duration, and energy [21,22,23,24,25]. The crack tip location during the fracture process can be identified using the AE signal source localization and cumulative AE energy [19,26,27].…”

Section: Introductionmentioning

confidence: 99%

Acoustic Emission-Based Study to Characterize the Crack Initiation Point of Wood Fiber/HDPE Composites

et al. 2019

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The crack initiation point can be regarded as a sign of composite failure and plays a vital role in the evaluation of fracture toughness. Wood-plastic composites (WPCs) are viscoelastic materials and the evaluation of fracture mechanism and toughness has a great significance in their applications. Therefore, we used the acoustic emission (AE) technique to measure the crack initiation point of the WPCs and evaluate their fracture toughness. The results show that the novel AE-based methods were more effective than the conventional standard methods for characterization of the crack initiation point. Using the relationship of cumulative AE events with time and load, the critical failure load was quickly determined, and then the critical stress intensity factor and fracture toughness were calculated. The fracture toughness of the WPCs increased with an increase in the wood fiber content.

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Analysis of the damage mechanisms in mixed-mode delamination of laminated composites using acoustic emission data clustering

Cited by 50 publications

References 31 publications

Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites

Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites

Damage Propagation Analysis in the Single Lap Shear and Single Lap Shear-Riveted CFRP Joints by Acoustic Emission and Pattern Recognition Approach

Acoustic Emission-Based Study to Characterize the Crack Initiation Point of Wood Fiber/HDPE Composites

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