2012
DOI: 10.1115/1.4005877
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Extracting Quantitative Information on Pipe Wall Damage in Absence of Clear Signals From Defect

Abstract: It has been well established that guided waves are sensitive to structural damages encountered on their path of propagation and for this reason this technique is very efficient for distinguishing defective structural components from defect-free ones. Although the guided wave technique can identify a specimen having a distribution of defects, detecting and quantifying a small defect on its path from a long distance, as required for structural health monitoring (SHM) applications, is not an easy task for the gui… Show more

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Cited by 14 publications
(9 citation statements)
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“…The materials dynamic softening and geometrical stiffening by applied stress, both observed for Lamb waves, represent novel effects concerning SHM. The here reported results are part of developments and respected applications based on TOF monitoring for structural health and load monitoring [3][4][5][6][7]). …”
Section: Resultsmentioning
confidence: 94%
“…The materials dynamic softening and geometrical stiffening by applied stress, both observed for Lamb waves, represent novel effects concerning SHM. The here reported results are part of developments and respected applications based on TOF monitoring for structural health and load monitoring [3][4][5][6][7]). …”
Section: Resultsmentioning
confidence: 94%
“…For this computation the pipe dimensions considered are outer radius 2.1 cm and inner radius 1.6 cm, same as the pipe inspected experimentally. The P (Longitudinal) and S (Shear) wave speeds in steel are 5.96 km/s and 3.26 km/s, respectively [13,14]. The computed group velocity dispersión curves of the longitudinal wave modes L(0, 1) and L(0, 2) are shown in and L(0, 2) modes can be generated in the pipe specimen by an ultrasonic transducer operating in the frequency range 50-175 kHz.…”
Section: (Left)mentioning
confidence: 99%
“…Velocity values in the pristine specimen were obtained from the group velocity dispersion curves [13,14], see Fig. 1 …”
Section: Theoretical Backgroundmentioning
confidence: 99%
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