Abstract
Sound scattered from inherent material features such as grain boundaries becomes a source of acoustic noise when attempting to detect or characterize a flaw in a material, e.g., a crack, void, or inclusion. In formulating a stochastic model to describe a flaw detection or flaw characterization experiment, acoustic noise is often assumed to be an uncorrelated, Gaussian random variable with zero mean and known average power spectrum. The work reported here focuses on the measurement of acoustic noise and on the evaluation of these assumptions for the cases of scattering from grains in stainless steel and scattering from porosity in aluminum, respectively. An estimate of the average power spectrum is determined for each case. It is shown that in both the time domain and in the frequency domain the acoustic noise considered has zero mean and is reasonably uncorrelated and Gaussian. [Work supported by the Director of Energy Research, Office of Basic Energy Sciences.]
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