Anisotropic source modelling for turbulent jet noise prediction
Author(s) -
Xihai Xu,
Xiaodong Li
Publication year - 2019
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2019.0075
Subject(s) - jet noise , turbulence , aeroacoustics , jet (fluid) , reynolds stress , physics , noise (video) , computational aeroacoustics , reynolds number , statistical physics , turbulence kinetic energy , anisotropy , reynolds averaged navier–stokes equations , mechanics , computation , classical mechanics , acoustics , computer science , optics , sound pressure , algorithm , artificial intelligence , image (mathematics)
An anisotropic component of the jet noise source model for the Reynolds-averaged Navier–Stokes equation-based jet noise prediction method is proposed. The modelling is based on Goldstein's generalized acoustic analogy, and both the fine-scale and large-scale turbulent noise sources are considered. To model the anisotropic characteristics of jet noise source, the Reynolds stress tensor is used in place of the turbulent kinetic energy. The Launder–Reece–Rodi model (LRR), combined with Menter's ω -equation for the length scale, with modified coefficients developed by the present authors, is used to calculate the mean flow velocities and Reynolds stresses accurately. Comparison between predicted results and acoustic data has been carried out to verify the accuracy of the new anisotropic source model. This article is part of the theme issue ‘Frontiers of aeroacoustics research: theory, computation and experiment’.
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