Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †

Detalhes bibliográficos
Autor(a) principal: Monson, Paulo [UNESP]
Data de Publicação: 2022
Outros Autores: Junior, Pedro Oliveira Conceição, Rodrigues, Alessandro Roger, Aguiar, Paulo [UNESP], Junior, Cristiano Soares [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/ecsa-9-13357
http://hdl.handle.net/11449/246581
Resumo: The identification and severity of structural damages in carbon fiber reinforced polymer (CFRP), especially in the early stage, is critical in structural health monitoring (SHM) of composite materials. Among several approaches used to accomplish this goal, ultrasound inspection using Lamb waves has been taking place within non-destructive testing (NDT) methods. Likewise, the use of digital signal processing techniques for structural damage diagnosis has become popular due to the fact that it provides relevant information through feature extraction. In this context, this paper presents an alternative strategy based on the use of root mean square deviation (RMSD) and correlation coefficient deviation metric (CCDM) representative indices to extract the most sensitive information related to damage in CFRP plates through ultrasonic NDT signals in specific frequency ranges. In the experimental analysis, CFRP coupons were subjected to two types of damages: cracking and delamination. The signals, generated by piezoelectric transducers attached to the host structure using the pitch-catch method of Lamb waves, were subject to signal processing parameters based on the proposed approach. The results reveal that the proposed method was able to characterize the different types of damage in CFRP, as well as their severity in specific frequency bands. The results indicate the feasibility of the proposed method to detect and characterize damage in composite materials in a simple way, which is attractive for industrial applications.
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spelling Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †CFRPdamage detectionLamb wavespiezoelectric transducersSHMsignal processingThe identification and severity of structural damages in carbon fiber reinforced polymer (CFRP), especially in the early stage, is critical in structural health monitoring (SHM) of composite materials. Among several approaches used to accomplish this goal, ultrasound inspection using Lamb waves has been taking place within non-destructive testing (NDT) methods. Likewise, the use of digital signal processing techniques for structural damage diagnosis has become popular due to the fact that it provides relevant information through feature extraction. In this context, this paper presents an alternative strategy based on the use of root mean square deviation (RMSD) and correlation coefficient deviation metric (CCDM) representative indices to extract the most sensitive information related to damage in CFRP plates through ultrasonic NDT signals in specific frequency ranges. In the experimental analysis, CFRP coupons were subjected to two types of damages: cracking and delamination. The signals, generated by piezoelectric transducers attached to the host structure using the pitch-catch method of Lamb waves, were subject to signal processing parameters based on the proposed approach. The results reveal that the proposed method was able to characterize the different types of damage in CFRP, as well as their severity in specific frequency bands. The results indicate the feasibility of the proposed method to detect and characterize damage in composite materials in a simple way, which is attractive for industrial applications.Department of Electrical Engineering Sao Paulo State University (UNESP), Sao PauloDepartment of Electrical and Computer Engineering Sao Carlos School of Engineering (EESC) University of Sao Paulo (USP)Department of Mechanical Engineering Sao Carlos School of Engineering (EESC) University of Sao Paulo (USP), Sao PauloDepartment of Electrical Engineering Sao Paulo State University (UNESP), Sao PauloUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Monson, Paulo [UNESP]Junior, Pedro Oliveira ConceiçãoRodrigues, Alessandro RogerAguiar, Paulo [UNESP]Junior, Cristiano Soares [UNESP]2023-07-29T12:44:53Z2023-07-29T12:44:53Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/ecsa-9-13357Engineering Proceedings, v. 27, n. 1, 2022.2673-4591http://hdl.handle.net/11449/24658110.3390/ecsa-9-133572-s2.0-85145368873Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngineering Proceedingsinfo:eu-repo/semantics/openAccess2023-07-29T12:44:53Zoai:repositorio.unesp.br:11449/246581Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T12:44:53Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
title Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
spellingShingle Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
Monson, Paulo [UNESP]
CFRP
damage detection
Lamb waves
piezoelectric transducers
SHM
signal processing
title_short Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
title_full Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
title_fullStr Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
title_full_unstemmed Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
title_sort Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
author Monson, Paulo [UNESP]
author_facet Monson, Paulo [UNESP]
Junior, Pedro Oliveira Conceição
Rodrigues, Alessandro Roger
Aguiar, Paulo [UNESP]
Junior, Cristiano Soares [UNESP]
author_role author
author2 Junior, Pedro Oliveira Conceição
Rodrigues, Alessandro Roger
Aguiar, Paulo [UNESP]
Junior, Cristiano Soares [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Monson, Paulo [UNESP]
Junior, Pedro Oliveira Conceição
Rodrigues, Alessandro Roger
Aguiar, Paulo [UNESP]
Junior, Cristiano Soares [UNESP]
dc.subject.por.fl_str_mv CFRP
damage detection
Lamb waves
piezoelectric transducers
SHM
signal processing
topic CFRP
damage detection
Lamb waves
piezoelectric transducers
SHM
signal processing
description The identification and severity of structural damages in carbon fiber reinforced polymer (CFRP), especially in the early stage, is critical in structural health monitoring (SHM) of composite materials. Among several approaches used to accomplish this goal, ultrasound inspection using Lamb waves has been taking place within non-destructive testing (NDT) methods. Likewise, the use of digital signal processing techniques for structural damage diagnosis has become popular due to the fact that it provides relevant information through feature extraction. In this context, this paper presents an alternative strategy based on the use of root mean square deviation (RMSD) and correlation coefficient deviation metric (CCDM) representative indices to extract the most sensitive information related to damage in CFRP plates through ultrasonic NDT signals in specific frequency ranges. In the experimental analysis, CFRP coupons were subjected to two types of damages: cracking and delamination. The signals, generated by piezoelectric transducers attached to the host structure using the pitch-catch method of Lamb waves, were subject to signal processing parameters based on the proposed approach. The results reveal that the proposed method was able to characterize the different types of damage in CFRP, as well as their severity in specific frequency bands. The results indicate the feasibility of the proposed method to detect and characterize damage in composite materials in a simple way, which is attractive for industrial applications.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T12:44:53Z
2023-07-29T12:44:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/ecsa-9-13357
Engineering Proceedings, v. 27, n. 1, 2022.
2673-4591
http://hdl.handle.net/11449/246581
10.3390/ecsa-9-13357
2-s2.0-85145368873
url http://dx.doi.org/10.3390/ecsa-9-13357
http://hdl.handle.net/11449/246581
identifier_str_mv Engineering Proceedings, v. 27, n. 1, 2022.
2673-4591
10.3390/ecsa-9-13357
2-s2.0-85145368873
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Engineering Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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