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

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...

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Main Authors: Claudia Barile, Caterina Casavola, Giovanni Pappalettera, Paramsamy Kannan Vimalathithan
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/1/393
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author Claudia Barile
Caterina Casavola
Giovanni Pappalettera
Paramsamy Kannan Vimalathithan
author_facet Claudia Barile
Caterina Casavola
Giovanni Pappalettera
Paramsamy Kannan Vimalathithan
author_sort Claudia Barile
collection DOAJ
description 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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spelling doaj.art-db4008fbcfef4077bf3e6a8decd873cd2023-11-21T07:58:49ZengMDPI AGApplied Sciences2076-34172021-01-0111139310.3390/app11010393Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer CompositesClaudia Barile0Caterina Casavola1Giovanni Pappalettera2Paramsamy Kannan Vimalathithan3Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Via Orabona 4, 70125 Bari, ItalyDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Via Orabona 4, 70125 Bari, ItalyDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Via Orabona 4, 70125 Bari, ItalyDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Via Orabona 4, 70125 Bari, ItalyAssessing 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.https://www.mdpi.com/2076-3417/11/1/393acoustic emissionCFRPfuzzy c-meansprincipal component analysis (PCA)initiation frequencyreverberation frequency
spellingShingle Claudia Barile
Caterina Casavola
Giovanni Pappalettera
Paramsamy Kannan Vimalathithan
Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites
Applied Sciences
acoustic emission
CFRP
fuzzy c-means
principal component analysis (PCA)
initiation frequency
reverberation frequency
title Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites
title_full Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites
title_fullStr Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites
title_full_unstemmed Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites
title_short Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites
title_sort multiparameter approach for damage propagation analysis in fiber reinforced polymer composites
topic acoustic emission
CFRP
fuzzy c-means
principal component analysis (PCA)
initiation frequency
reverberation frequency
url https://www.mdpi.com/2076-3417/11/1/393
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AT caterinacasavola multiparameterapproachfordamagepropagationanalysisinfiberreinforcedpolymercomposites
AT giovannipappalettera multiparameterapproachfordamagepropagationanalysisinfiberreinforcedpolymercomposites
AT paramsamykannanvimalathithan multiparameterapproachfordamagepropagationanalysisinfiberreinforcedpolymercomposites