The Prediction of Jet Noise Ground Effects using an Acoustic Analogy and a Tailored Green’s Function
Author(s) -
Steven A. Miller
Publication year - 2013
Publication title -
28th aiaa/ceas aeroacoustics 2022 conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2013-2038
Subject(s) - acoustics , jet noise , analogy , jet (fluid) , function (biology) , noise (video) , green's function , physics , computer science , mechanics , artificial intelligence , image (mathematics) , philosophy , linguistics , evolutionary biology , biology
An assessment of an acoustic analogy for the mixing noise component of jet noise in the presence of an infinite surface is presented. The reflection of jet noise by the ground changes the distribution of acoustic energy and is characterized by constructive and destructive interference patterns. The equivalent sources are modeled based on the two-point cross-correlation of the turbulent velocity fluctuations and a steady Reynolds-Averaged NavierStokes (RANS) solution. Propagation effects, due to reflection by the surface and refraction by the jet shear layer, are taken into account by calculating the vector Green’s function of the linearized Euler equations (LEE). The vector Green’s function of the LEE is written in relation to that of Lilley’s equation; that is, it is approximated with matched asymptotic solutions and the Green’s function of the convective Helmholtz equation. The Green’s function of the convective Helmholtz equation in the presence of an infinite flat plane with impedance is the Weyl-van der Pol equation. Predictions are compared with measurements from an unheated Mach 0.95 jet. Microphones are placed at various heights and distances from the nozzle exit in the peak jet noise direction above an acoustically hard and an asphalt surface. The predictions are shown to accurately capture jet noise ground effects that are characterized by constructive and destructive interference patterns in the midand far-field and capture overall trends in the near-field. Email address: s.miller@nasa.gov (Steven A. E. Miller)
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