The University of Southampton
University of Southampton Institutional Repository

A low-numerical dissipation patch-based adaptive mesh refinement method for large-eddy simulation of compressible flows

A low-numerical dissipation patch-based adaptive mesh refinement method for large-eddy simulation of compressible flows
A low-numerical dissipation patch-based adaptive mesh refinement method for large-eddy simulation of compressible flows
We present a methodology for the large-eddy simulation of compressible flows with a low-numerical dissipation scheme and structured adaptive mesh refinement (SAMR). A description of a conservative, flux-based hybrid numerical method that uses both centered finite-difference and a weighted essentially non-oscillatory (WENO) scheme is given, encompassing the cases of scheme alternation and internal mesh interfaces resulting from SAMR. In this method, the centered scheme is used in turbulent flow regions while WENO is employed to capture shocks. One-, two- and three-dimensional numerical experiments and example simulations are presented including homogeneous shock-free turbulence, a turbulent jet and the strongly shock-driven mixing of a Richtmyer–Meshkov instability.
SAMR, LES, numerical methods, compressible flow, turbulence
0021-9991
63-87
Pantano, Carlos
6bc9aa2a-e30a-478a-946d-4eca2bb5f97f
Deiterding, Ralf
ce02244b-6651-47e3-8325-2c0a0c9c6314
Hill, David J.
d3370498-042f-42e7-bfd2-408203d4a198
Pullin, Dale I.
096f1324-c4ff-4351-99d7-76a30f30a32e
Pantano, Carlos
6bc9aa2a-e30a-478a-946d-4eca2bb5f97f
Deiterding, Ralf
ce02244b-6651-47e3-8325-2c0a0c9c6314
Hill, David J.
d3370498-042f-42e7-bfd2-408203d4a198
Pullin, Dale I.
096f1324-c4ff-4351-99d7-76a30f30a32e

Pantano, Carlos, Deiterding, Ralf, Hill, David J. and Pullin, Dale I. (2007) A low-numerical dissipation patch-based adaptive mesh refinement method for large-eddy simulation of compressible flows. Journal of Computational Physics, 221 (1), 63-87. (doi:10.1016/j.jcp.2006.06.011).

Record type: Article

Abstract

We present a methodology for the large-eddy simulation of compressible flows with a low-numerical dissipation scheme and structured adaptive mesh refinement (SAMR). A description of a conservative, flux-based hybrid numerical method that uses both centered finite-difference and a weighted essentially non-oscillatory (WENO) scheme is given, encompassing the cases of scheme alternation and internal mesh interfaces resulting from SAMR. In this method, the centered scheme is used in turbulent flow regions while WENO is employed to capture shocks. One-, two- and three-dimensional numerical experiments and example simulations are presented including homogeneous shock-free turbulence, a turbulent jet and the strongly shock-driven mixing of a Richtmyer–Meshkov instability.

This record has no associated files available for download.

More information

Published date: 20 January 2007
Keywords: SAMR, LES, numerical methods, compressible flow, turbulence
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 380611
URI: http://eprints.soton.ac.uk/id/eprint/380611
ISSN: 0021-9991
PURE UUID: 2822e33b-fbcc-456f-9ac3-de48546111f7
ORCID for Ralf Deiterding: ORCID iD orcid.org/0000-0003-4776-8183

Catalogue record

Date deposited: 09 Sep 2015 10:49
Last modified: 15 Mar 2024 03:52

Export record

Altmetrics

Contributors

Author: Carlos Pantano
Author: Ralf Deiterding ORCID iD
Author: David J. Hill
Author: Dale I. Pullin

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×