Lai, L.S., Djambazov, Georgi ORCID: 0000-0001-8812-1269, Lai, Choi-Hong ORCID: 0000-0002-7558-6398 and Pericleous, Koulis A. ORCID: 0000-0002-7426-9999 (2009) Comparison of high-order numerical schemes and several filtering methods applied to Navier-Stokes equations with applications to computational aeroacoustics. Journal of Algorithms & Computational Technology, 3 (3). pp. 443-459. ISSN 1748-3018 (doi:https://doi.org/10.1260/174830108788251746)

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Abstract

In computational acoustics, fluid-acoustic coupling methods for the computation of sound have been widely used by researchers for the last five decades. In the first part of the coupling procedure, the fully unsteady incompressible or compressible flow equations for the nearfield of the unsteady flow are solved by using a Computational Fluid Dynamics (CFD) technique, such as Direct Numerical Simulation (DNS), Large Eddy Simulation (LES) or unsteady Reynolds averaged Navier- Stokes equations (RANS) the CFD predictions are then used to calculate sound sources using the acoustic analogy or solving a set of acoustic perturbation equations (APE) leading to the solution of the acoustic field. It is possible to use a 2-D reduced problem to provide a preliminary understanding of many acoustic problems. Unfortunately 2-D CFD simulations using a fine-mesh-small-time-step-LES-alike numerical method cannot be considered as LES, which applies to 3-D simulations only. Therefore it is necessary to understand the similarities and the effect between filters applied to unsteady compressible Navier-Stokes equations and the combined effect of high-order schemes and mesh size. The aim of this study is to provide suitable LES-alike methods for 2-D simulations. An efficient software implementation of high-order schemes is also proposed. Numerical examples are provided to illustrate these statistical similarities.

Item Type:	Article
Uncontrolled Keywords:	higher order methods, filtering effect
Subjects:	Q Science > QA Mathematics
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher
Last Modified:	05 Mar 2019 11:46
URI:	http://gala.gre.ac.uk/id/eprint/4560

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