2014
DOI: 10.1016/j.ymssp.2013.10.017
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Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features

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Cited by 157 publications
(85 citation statements)
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“…This is especially true when the modeling endeavors aim at simulating nonlinear ultrasonic SHM techniques [27][28][29].…”
Section: Nonlinear Ultrasonics Modeling Capabilitymentioning
confidence: 99%
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“…This is especially true when the modeling endeavors aim at simulating nonlinear ultrasonic SHM techniques [27][28][29].…”
Section: Nonlinear Ultrasonics Modeling Capabilitymentioning
confidence: 99%
“…Such a unique nonlinear feature allows the early detection of incipient fatigue damage in structures. Superharmonics is a classical nonlinear ultrasonic phenomenon which has been widely reported using experiments in the literatures [27][28][29]. Again, the focus of this research is on developing an efficient numerical approach to model such a nonlinear effect.…”
Section: Guided Wave Propagation and Interaction Withmentioning
confidence: 99%
“…Figure 11 depicts the variation in the acoustic nonlinearity of AISI 316L stainless steel fatigue-failed specimens under various strain amplitudes. The acoustic nonlinearity increased with strain amplitude due to the occurrence of fatigue-driven plastic deformation, and is therefore closely related to the strain amplitude and to the accumulation of fatigue deformation [29]. To understand the microstructural features that influence the distortion of the acoustic wave and result in superharmonic generation, we refer to the previously shown and discussed microstructural evolution during fatigue damage.…”
Section: Resultsmentioning
confidence: 99%
“…However, these linear features are not sensitive enough for micro damage (1,2) .Modulated ultrasonic technology is rapidly developed during last several years becuase it is more sensitive to micro damage than linear ultrasonic. (3,4,5,6) . In recent years, fiber Bragg grating (FBG) has been expected to be a valuable alternative of ultrasonic detector.…”
Section: Introductionmentioning
confidence: 99%