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dc.contributor.authorFriedrich, Leandro Ferreirapt_BR
dc.contributor.authorCezar, Édiblu Silvapt_BR
dc.contributor.authorColpo, Angélica Bordinpt_BR
dc.contributor.authorTanzi, Boris Nahuel Rojopt_BR
dc.contributor.authorSobczyk Sobrinho, Mario Rolandpt_BR
dc.contributor.authorLacidogna, Giuseppept_BR
dc.contributor.authorNiccolini, Giannipt_BR
dc.contributor.authorKosteski, Luis Eduardopt_BR
dc.contributor.authorIturrioz, Ignaciopt_BR
dc.date.accessioned2022-04-15T04:43:19Zpt_BR
dc.date.issued2022pt_BR
dc.identifier.issn2076-3417pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/237316pt_BR
dc.description.abstractThis work focuses on analyzing acoustic emission (AE) signals as a means to predict failure in structures. There are two main approaches that are considered: (i) long-range correlation analysis using both the Hurst (H) and the detrended fluctuation analysis (DFA) exponents, and (ii) natural time domain (NT) analysis. These methodologies are applied to the data that were collected from two application examples: a glass fiber-reinforced polymeric plate and a spaghetti bridge model, where both structures were subjected to increasing loads until collapse. A traditional (AE) signal analysis was also performed to reference the study of the other methods. The results indicate that the proposed methods yield reliable indication of failure in the studied structures.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofApplied sciences [recurso eletrônico]. Basel. Vol. 12, n. 4 (2022), Art. 1980, 23 p.pt_BR
dc.rightsOpen Accessen
dc.subjectEmissão acústicapt_BR
dc.subjectAcoustic emissionen
dc.subjectLong-range correlationsen
dc.subjectDano estruturalpt_BR
dc.subjectNatural time analysisen
dc.subjectHeterogeneous materialsen
dc.titleLong-range correlations and natural time series analyses from acoustic emission signalspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001138326pt_BR
dc.type.originEstrangeiropt_BR


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