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Assessment of fatigue load spectrum from fracture surface topography
Authors:Takao Kobayashi  Donald A. Shockey  Charles G. Schmidt  Richard W. Klopp
Affiliation:Department of Metallurgy and Fracture Mechanics, SRI International, 333 Ravenswood Avenue, Menlo Park, CA 94025, USA
Abstract:The possibility of deducing load spectrum parameters from fatigue failure surfaces is explored by applying innovative, three-dimensional topographic characterization and analysis techniques to failure surfaces in aluminum sheet. Precise, high-resolution elevation maps of fracture surfaces were obtained using confocal optics scanning laser microscopy. Elevation power spectral density curves resulting from a fast Fourier transform of the elevation data appear sensitive to stress intensity range and environment. A conjugate fracture surface matching procedure, FRASTA, can detect and may provide a way to quantify overloads.
Keywords:fractography   Fourier analysis   FRASTA
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