2007
DOI: 10.2514/1.25217
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Assessment of the Contribution of Surface Roughness to Airframe Noise

Abstract: The generation of sound by turbulent boundary-layer flow at low Mach number over a rough wall is investigated by applying a theoretical model that describes the scattering of the turbulence near field into sound by roughness elements. Attention is focused on the numerical method to approximately quantify the absolute level of far-field radiated roughness noise. Models for the source statistics are obtained by scaling smooth-wall data by the increased skin friction velocity and boundary-layer thickness for a ro… Show more

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Cited by 26 publications
(48 citation statements)
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“…This is equivalent to comparing theory and experiment after applying a filter which suppresses much the extraneous noise in the experiments. A distribution of incoherent dipoles was simulated over a rigid plate with the source strengths determined equivalently by the prediction scheme of Liu and Dowling [7]. Comparison of the results of beamforming between measurement and simulation provides indirect validation of the predicted source type, magnitude and distribution.…”
Section: Introductionmentioning
confidence: 99%
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“…This is equivalent to comparing theory and experiment after applying a filter which suppresses much the extraneous noise in the experiments. A distribution of incoherent dipoles was simulated over a rigid plate with the source strengths determined equivalently by the prediction scheme of Liu and Dowling [7]. Comparison of the results of beamforming between measurement and simulation provides indirect validation of the predicted source type, magnitude and distribution.…”
Section: Introductionmentioning
confidence: 99%
“…The theoretical model of Howe [1] was recently extended by Liu and Dowling [7] to quantify numerically the far-field radiated roughness noise. They approximated the rough-wall wavenumber-frequency spectrum by smooth-wall models [8][9][10][11][12] with increased friction velocity u τ and boundary-layer thickness δ appropriate for a rough surface.…”
Section: Introductionmentioning
confidence: 99%
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