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タイトルPrediction of Turbulence-Generated Noise in Unheated Jets
本文(外部サイト)http://hdl.handle.net/2060/20050207369
著者(英)Georgiadis, Nicholas; Khavaran, Abbas; Bridges, James
著者所属(英)NASA Glenn Research Center
発行日2005-07-01
言語eng
内容記述The model-based approach, used by the JeNo code to predict jet noise spectral directivity, is described. A linearized form of Lilley's equation governs the non-causal Green s function of interest, with the non-linear terms on the right hand side identified as the source. A Reynolds-averaged Navier-Stokes (RANS) solution yields the required mean flow for the solution of the propagation Green s function in a locally parallel flow. The RANS solution also produces time- and length-scales needed to model the non-compact source, the turbulent velocity correlation tensor, with exponential temporal and spatial functions. It is shown that while an exact non-causal Green s function accurately predicts the observed shift in the location of the spectrum peak with angle as well as the angularity of sound at low to moderate Mach numbers, the polar directivity of radiated sound is not entirely captured by this Green s function at high subsonic and supersonic acoustic Mach numbers. Results presented for unheated jets in the Mach number range of 0.51 to 1.8 suggest that near the peak radiation angle of high-speed jets, a different source/Green s function convolution integral may be required in order to capture the peak observed directivity of jet noise. A sample Mach 0.90 heated jet is also discussed that highlights the requirements for a comprehensive jet noise prediction model.
NASA分類Physics (General)
レポートNOE-15186/PT1
NASA/TM-2005-213827/PT1
権利No Copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/219647


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