Abstract
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’.
Highlights
Since the 1950s, jet noise has been a classic research issue in the field of aeroacoustics
The results show that due to the convection effect of the average flow of the jet, the amplitude position of the spatial correlation function moves downstream of the jet, and the magnitude of the correlation gets smaller, while still exhibiting anisotropic characteristics
While for an incompletely expanding jet with Mach number 1.3, the Reynolds-averaged Navier–Stokes (RANS)-based prediction method overpredicts the noise in low frequency and underpredicts in high frequency
Summary
Since the 1950s, jet noise has been a classic research issue in the field of aeroacoustics. The hybrid jet noise prediction methods, based on mean flow and turbulence information and the acoustic models, have been studied extensively, most of which are on the basis of acoustic analogy. In 2005, a more general source model was introduced by Tam & Pastouchenko [10] to consider the effect of large density gradient on noise generation All these RANS-based jet noise prediction models are based on the k − ε model and can give relatively accurate predictions of the jet radiative noise at the sideline, where the fine-scale turbulent noise is dominant. Karabasov et al [13] determined the empirical constants of an RANS-based jet noise prediction method through comparison with correlations obtained from the large eddy simulations of jet noise. Comparisons between predicted results and acoustic data were carried out to verify the accuracy of the new anisotropic source model
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
