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dc.contributor.authorŠofer, Michal
dc.contributor.authorCienciala, Jakub
dc.contributor.authorFusek, Martin
dc.contributor.authorPavlíček, Pavel
dc.contributor.authorMoravec, Richard
dc.date.accessioned2021-04-12T08:37:28Z
dc.date.available2021-04-12T08:37:28Z
dc.date.issued2021
dc.identifier.citationMaterials. 2021, vol. 14, issue 4, art. no. 786.cs
dc.identifier.issn1996-1944
dc.identifier.urihttp://hdl.handle.net/10084/143029
dc.description.abstractThe acoustic emission method has been adopted for detection of damage mechanisms in carbon-fiber-reinforced polymer composite tubes during the three-point bending test. The damage evolution process of the individual samples has been monitored using the acoustic emission method, which is one of the non-destructive methods. The obtained data were then subjected to a two-step technique, which combines the unsupervised pattern recognition approach utilizing the short-time frequency spectra with the boundary curve enabling the already clustered data to be additionally filtered. The boundary curve identification has been carried out on the basis of preliminary tensile tests of the carbon fiber sheafs, where, by overlapping the force versus time dependency by the acoustic emission activity versus time dependency, it was possible to identify the boundary which will separate the signals originating from the fiber break from unwanted secondary sources. The application of the presented two-step method resulted in the identification of the failure mechanisms such as matrix cracking, fiber break, decohesion, and debonding. Besides the comparison of the results with already published research papers, the study presents the comprehensive parametric acoustic emission signal analysis of the individual clusters.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMaterialscs
dc.relation.urihttp://doi.org/10.3390/ma14040786cs
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectacoustic emissioncs
dc.subjectCFRP composite tubecs
dc.subjectunsupervised learning approachcs
dc.subjectfailure mechanismcs
dc.titleDamage analysis of composite CFRP tubes using acoustic emission monitoring and pattern recognition approachcs
dc.typearticlecs
dc.identifier.doi10.3390/ma14040786
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume14cs
dc.description.issue4cs
dc.description.firstpageart. no. 786cs
dc.identifier.wos000624112200001


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Zobrazit minimální záznam

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.