Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) Columns
![Thumbnail](/xmlui/bitstream/handle/10234/199886/81007.pdf.jpg?sequence=4&isAllowed=y)
View/ Open
Impact
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) ColumnsDate
2022Publisher
MDPIISSN
1424-8220Bibliographic citation
CALLEJAS, Antonio, et al. Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) Columns. Sensors, 2022, vol. 22, núm. 12, p. 4400Type
info:eu-repo/semantics/articlePublisher version
https://www.mdpi.com/1424-8220/22/12/4400Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
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. [-]
Is part of
Sensors, 2022, vol. 22, núm. 12, p. 4400Funder Name
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
Project code
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
Rights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
- EMC_Articles [822]
Except where otherwise noted, this item's license is described as 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/).