Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) Columns
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Otros documentos de la autoría: Callejas, Antonio M.; Palma, Roberto; Hernández-Figueirido, David; Rus, Guillermo
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Título
Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) ColumnsFecha de publicación
2022Editor
MDPIISSN
1424-8220Cita bibliográfica
CALLEJAS, Antonio, et al. Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) Columns. Sensors, 2022, vol. 22, núm. 12, p. 4400Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/1424-8220/22/12/4400Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Concrete-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 ... [+]
Concrete-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. [-]
Publicado en
Sensors, 2022, vol. 22, núm. 12, p. 4400Entidad financiadora
Consejería de economía | Instituto de Salud Carlos III y Fondos Feder | Ministerio de Educación, Cultura y Deporte | Ministerio de Sanidad, Servicios Sociales e Igualdad | European Social Fund | European Regional Development Fund | Junta de Andalucía
Código del proyecto o subvención
DPI2014-51870-R | DPI2017-83859-R | EQC2018-004508-P | UNGR15-CE-3664 | DTS15/00093 | PI16/00339 | B-TEP-026-IE2017-5537 | P18-RT-1653 | IE2017-5537 | PI-0107-2017 | PIN-0030-2017 | PRE2018-086085
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