Development of numerical techniques for near-field aeroacoustic computations
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Djambazov, G. 
ORCID: 0000-0001-8812-1269, Lai, C.-H. ORCID: 0000-0002-7558-6398 and Pericleous, K. ORCID: 0000-0002-7426-9999
(1999)
Development of numerical techniques for near-field aeroacoustic computations.
International Journal for Numerical Methods in Fluids, 29 (6).
pp. 719-731.
ISSN 0271-2091 (Print), 1097-0363 (Online)
(doi:https://doi.org/10.1002/(SICI)1097-0363(19990330)29:6<719::AID-FLD810>3.0.CO;2-P)
Abstract
This work is concerned with the development of a numerical scheme capable of producing accurate simulations of sound propagation in the presence of a mean flow field. The method is based on the concept of variable decomposition, which leads to two separate sets of equations. These equations are the linearised Euler equations and the Reynolds-averaged Navier–Stokes equations. This paper concentrates on the development of numerical schemes for the linearised Euler equations that leads to a computational aeroacoustics (CAA) code. The resulting CAA code is a non-diffusive, time- and space-staggered finite volume code for the acoustic perturbation, and it is validated against analytic results for pure 1D sound propagation and 2D benchmark problems involving sound scattering from a cylindrical obstacle. Predictions are also given for the case of prescribed source sound propagation in a laminar boundary layer as an illustration of the effects of mean convection. Copyright © 1999 John Wiley & Sons, Ltd.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | sound propagation, sound scattering, aeroacoustics |
| Subjects: | Q Science > QA Mathematics |
| Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences |
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| Last Modified: | 02 Mar 2019 15:49 |
| URI: | http://gala.gre.ac.uk/id/eprint/140 |
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