2005
DOI: 10.1007/s11220-005-0015-y
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Structural Damage Detection Using an Embedded ETDR Distributed Strain Sensor

Abstract: Feasible application of the Electrical Time Domain Reflectometry (ETDR) distributed strain sensing technique for structural damage detection was investigated in this study. A smallscale concrete beam specimen with an embedded ETDR distributed strain sensor was tested in three-point bending. The resulting ETDR waveforms of the sensor were studied in conjunction with the load-displacement curve of the concrete beam and the video images of the specimen recorded during the test. It was shown that the embedded ETDR… Show more

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Cited by 6 publications
(2 citation statements)
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“…TDR technique has been widely used since to detect faults in printed circuit boards and cables [11], geo measurements [12], soil moisture content [12], concrete faults [13,14], liquid flow [15] and delamination crack monitoring [16]. The present research is motivated by the lack of in-situ electromagnetic characterization data of nanocomposites, especially those based on CNTs.…”
Section: Introductionmentioning
confidence: 99%
“…TDR technique has been widely used since to detect faults in printed circuit boards and cables [11], geo measurements [12], soil moisture content [12], concrete faults [13,14], liquid flow [15] and delamination crack monitoring [16]. The present research is motivated by the lack of in-situ electromagnetic characterization data of nanocomposites, especially those based on CNTs.…”
Section: Introductionmentioning
confidence: 99%
“…The technique has been widely used since to detect faults in printed circuit boards and cables [10]. TDR technique has been also used for geological measurements to monitor soil moisture content and rock faults [11] studying faults in concrete structures [12,13], and detection of leakage in pipelines [14]. In composite applications, TDR has been successfully implemented for flow and cure monitoring in liquid composite molding processing [15,16].…”
Section: Introductionmentioning
confidence: 99%