
Proceedings Paper
Fatigue crack detection using guided waves nonlinear modulationFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a fatigue crack detection technique based on nonlinear wave modulation created by mixing two
ultrasonic guided waves. Two independent input signals are generated using two surface-mounted PZT transducers; a
high-frequency probing signal and a low-frequency pumping signal. Corresponding guided wave responses are measured
by additional PZT transducers installed on a specimen. The presence of a system nonlinearity, such as a crack formation,
can provide a mechanism for nonlinear wave modulation, and create spectral sidebands around the frequency of the
probing signal. A signal processing technique combining linear response subtraction (LRS) and synchronous
demodulation (SD) is developed to extract the crack-induced spectral sidebands. The proposed crack detection method is
successfully applied to the identification of actual fatigue cracks grown in metallic plates. Finally, the effect of the
pumping and probing frequencies on the amplitude of the first spectral sideband is investigated using the first sideband
spectrogram (FSS) obtained by sweeping both pumping and probing signals over specified frequency ranges.
Paper Details
Date Published: 17 April 2013
PDF: 9 pages
Proc. SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, 86950R (17 April 2013); doi: 10.1117/12.2010108
Published in SPIE Proceedings Vol. 8695:
Health Monitoring of Structural and Biological Systems 2013
Tribikram Kundu, Editor(s)
PDF: 9 pages
Proc. SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, 86950R (17 April 2013); doi: 10.1117/12.2010108
Show Author Affiliations
Hoon Sohn, KAIST (Korea, Republic of)
Hyung Jin Lim, KAIST (Korea, Republic of)
Martin P. DeSimio, Univ. of Dayton Research Institute (United States)
Hyung Jin Lim, KAIST (Korea, Republic of)
Martin P. DeSimio, Univ. of Dayton Research Institute (United States)
Kevin Brown, Air Force Research Lab. (United States)
Mark Derriso, Air Force Research Lab. (United States)
Mark Derriso, Air Force Research Lab. (United States)
Published in SPIE Proceedings Vol. 8695:
Health Monitoring of Structural and Biological Systems 2013
Tribikram Kundu, Editor(s)
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