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

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dc.contributor.authorMonson, Paulo [UNESP]
dc.contributor.authorJunior, Pedro Oliveira Conceição
dc.contributor.authorRodrigues, Alessandro Roger
dc.contributor.authorAguiar, Paulo [UNESP]
dc.contributor.authorJunior, Cristiano Soares [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2023-07-29T12:44:53Z
dc.date.available2023-07-29T12:44:53Z
dc.date.issued2022-01-01
dc.description.abstractThe 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.en
dc.description.affiliationDepartment of Electrical Engineering Sao Paulo State University (UNESP), Sao Paulo
dc.description.affiliationDepartment of Electrical and Computer Engineering Sao Carlos School of Engineering (EESC) University of Sao Paulo (USP)
dc.description.affiliationDepartment of Mechanical Engineering Sao Carlos School of Engineering (EESC) University of Sao Paulo (USP), Sao Paulo
dc.description.affiliationUnespDepartment of Electrical Engineering Sao Paulo State University (UNESP), Sao Paulo
dc.identifierhttp://dx.doi.org/10.3390/ecsa-9-13357
dc.identifier.citationEngineering Proceedings, v. 27, n. 1, 2022.
dc.identifier.doi10.3390/ecsa-9-13357
dc.identifier.issn2673-4591
dc.identifier.scopus2-s2.0-85145368873
dc.identifier.urihttp://hdl.handle.net/11449/246581
dc.language.isoeng
dc.relation.ispartofEngineering Proceedings
dc.sourceScopus
dc.subjectCFRP
dc.subjectdamage detection
dc.subjectLamb waves
dc.subjectpiezoelectric transducers
dc.subjectSHM
dc.subjectsignal processing
dc.titleMethod for Damage Detection of CFRP Plates Using Lamb Waves and Digital Signal Processing Techniques †en
dc.typeArtigo
unesp.author.orcid0000-0002-7093-1754[1]
unesp.author.orcid0000-0003-3536-0885[3]

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