Method for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , |
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. |
id |
UNSP_07cfb27561919a1267846f82881d8b46 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/246581 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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:29462024-08-05T16:40:10.976232Repositório 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 |
|
_version_ |
1808128685519142912 |