SYMPOSIA PAPER Published: 01 January 1992

Split Spectrum Processing of Backscattered Rayleigh Wave Signals to Improve Detectability of Fatigue Microcracks


A surface acoustic wave nondestructive evaluation technique was used to detect the initiation of surface microcracks in highly stressed regions of hourglass shaped 2024-T6 alloy aluminum specimens during fatigue cycling. Contacting wedge transducers were used to excite the incident waves and to detect the reflected wave signals. The effectiveness of a split spectrum processing algorithm to separate specular reflections of isolated cracks from nonspecular reflections of microstructural features in the scattering field was demonstrated.

Author Information

Resch, MT
University of Nebraska-Lincoln, Lincoln, NE
Karpur, P
University of Dayton Research Institute, Dayton, OH
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Developed by Committee: E08
Pages: 323–333
DOI: 10.1520/STP15356S
ISBN-EB: 978-0-8031-5212-0
ISBN-13: 978-0-8031-1444-9