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dc.contributor.authorCallejas, Antonio M.
dc.contributor.authorPalma, Roberto
dc.contributor.authorHernández-Figueirido, David
dc.contributor.authorRus, Guillermo
dc.date.accessioned2022-09-27T18:36:28Z
dc.date.available2022-09-27T18:36:28Z
dc.date.issued2022
dc.identifier.citationCALLEJAS, Antonio, et al. Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) Columns. Sensors, 2022, vol. 22, núm. 12, p. 4400ca_CA
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10234/199886
dc.description.abstractConcrete-filled steel tubes (CFSTs) are structural elements that, as a consequence of an incorrect elaboration, can exhibit internal defects that cannot be visualized, being usually air voids. In this work, the detection of internal damage in CFST samples elaborated with a percentage of contained air voids in concrete, was carried out by performing a complete ultrasound scan using an immersion tank. The analysis of the ultrasound signals shows the differences presented in the amplitude of the fundamental frequency of the signal, and in the Broadband Ultrasound Attenuation (BUA), in comparison with a sample without defects. The main contribution of this study is the application of the BUA technique in CFST samples for the location of air voids. The results present a linear relationship between BUA averages over the window of the CFSTs and the percentage of air voids contained (Pearson’s correlation coefficient r = 0.9873), the higher percentage of air voids, the higher values of BUA. The BUA algorithm could be applied effectively to distinguish areas with defects inside the CFSTs. Similar to the BUA results, the analysis in the frequency domain using the FFT and the STFT was sensitive in the detection of internal damage (Pearson’s correlation coefficient r = −0.9799, and r = −0.9672, respectively). The results establish an improvement in the evaluation of CFST elements for the detection of internal defects.ca_CA
dc.format.extent17 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfSensors, 2022, vol. 22, núm. 12, p. 4400ca_CA
dc.rightsCopyright: © 2022 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 (https:// creativecommons.org/licenses/by/ 4.0/).ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjectnondestructive evaluationca_CA
dc.subjectultrasoundca_CA
dc.subjectBroadband Ultrasound Attenuationca_CA
dc.subjectconcrete-filled steel tubesca_CA
dc.titleDamage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) Columnsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/s22124400
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.mdpi.com/1424-8220/22/12/4400ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameConsejería de economíaca_CA
project.funder.nameInstituto de Salud Carlos III y Fondos Federca_CA
project.funder.nameMinisterio de Educación, Cultura y Deporteca_CA
project.funder.nameMinisterio de Sanidad, Servicios Sociales e Igualdadca_CA
project.funder.nameEuropean Social Fundca_CA
project.funder.nameEuropean Regional Development Fundca_CA
project.funder.nameJunta de Andalucíaca_CA
oaire.awardNumberDPI2014-51870-Rca_CA
oaire.awardNumberDPI2017-83859-Rca_CA
oaire.awardNumberEQC2018-004508-Pca_CA
oaire.awardNumberUNGR15-CE-3664ca_CA
oaire.awardNumberDTS15/00093ca_CA
oaire.awardNumberPI16/00339ca_CA
oaire.awardNumberB-TEP-026-IE2017-5537ca_CA
oaire.awardNumberP18-RT-1653ca_CA
oaire.awardNumberIE2017-5537ca_CA
oaire.awardNumberPI-0107-2017ca_CA
oaire.awardNumberPIN-0030-2017ca_CA
oaire.awardNumberPRE2018-086085ca_CA


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Copyright: © 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
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Excepto si se señala otra cosa, la licencia del ítem se describe como: Copyright: © 2022 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 (https:// creativecommons.org/licenses/by/ 4.0/).