The University of Southampton
University of Southampton Institutional Repository

Comparison of high-order numerical methodologies for the simulation of the supersonic Taylor–Green vortex flow

Comparison of high-order numerical methodologies for the simulation of the supersonic Taylor–Green vortex flow
Comparison of high-order numerical methodologies for the simulation of the supersonic Taylor–Green vortex flow
This work presents a comparison of several high-order numerical methodologies for simulating shock/turbulence interactions based on the supersonic Taylor–Green vortex flow, considering a Reynolds number of 1600 and a Mach number of 1.25. The numerical schemes considered include high-order Finite Difference, Targeted Essentially Non-Oscillatory, Discontinuous Galerkin, and Spectral Difference schemes.The shock capturing methods include high-order filtering, localized artificial diffusivity, non-oscillatory numerical fluxes, and local low-order switching. The ability of the various high-order numerical methodologies to both capture shocks and represent accurately the development of turbulent vortices is assessed.
1070-6631
Chapelier, Jean-Baptiste
9d68c640-6841-4283-a0c6-4b1ef2d518c6
Lusher, David J.
dd681c9e-ceae-409b-8153-8248c13a18e5
Van Noordt, William
b1b07b1f-ef1b-486d-b194-d4039b229912
Wenzel, Christoph
1690a6a1-43f3-4f9d-b5a9-0f2ad800a955
Gibis, Tobias
66fd922d-8265-4dea-bc9a-5fcb5dcb622a
Mossier, Pascal
a53db0f5-abc6-4e89-a832-4ddaaf4dc407
Beck, Andrea
a08709ed-9e11-4aaf-8df5-f4207ee28b1a
Lodato, Guido
09c10b53-a7dc-4ed9-834d-4aeced785cd6
Brehm, Christoph
bb35f724-d534-41b9-9b98-fd0dd379e33e
Ruggeri, Matteo
288a439a-fed4-467b-821d-362bf67f66e7
Scalo, Carlo
03d011cc-ca4c-4200-a915-174667f0755e
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Chapelier, Jean-Baptiste
9d68c640-6841-4283-a0c6-4b1ef2d518c6
Lusher, David J.
dd681c9e-ceae-409b-8153-8248c13a18e5
Van Noordt, William
b1b07b1f-ef1b-486d-b194-d4039b229912
Wenzel, Christoph
1690a6a1-43f3-4f9d-b5a9-0f2ad800a955
Gibis, Tobias
66fd922d-8265-4dea-bc9a-5fcb5dcb622a
Mossier, Pascal
a53db0f5-abc6-4e89-a832-4ddaaf4dc407
Beck, Andrea
a08709ed-9e11-4aaf-8df5-f4207ee28b1a
Lodato, Guido
09c10b53-a7dc-4ed9-834d-4aeced785cd6
Brehm, Christoph
bb35f724-d534-41b9-9b98-fd0dd379e33e
Ruggeri, Matteo
288a439a-fed4-467b-821d-362bf67f66e7
Scalo, Carlo
03d011cc-ca4c-4200-a915-174667f0755e
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97

Chapelier, Jean-Baptiste, Lusher, David J., Van Noordt, William, Wenzel, Christoph, Gibis, Tobias, Mossier, Pascal, Beck, Andrea, Lodato, Guido, Brehm, Christoph, Ruggeri, Matteo, Scalo, Carlo and Sandham, Neil (2024) Comparison of high-order numerical methodologies for the simulation of the supersonic Taylor–Green vortex flow. Physics of Fluids, 36 (5), [055146]. (doi:10.1063/5.0206359).

Record type: Article

Abstract

This work presents a comparison of several high-order numerical methodologies for simulating shock/turbulence interactions based on the supersonic Taylor–Green vortex flow, considering a Reynolds number of 1600 and a Mach number of 1.25. The numerical schemes considered include high-order Finite Difference, Targeted Essentially Non-Oscillatory, Discontinuous Galerkin, and Spectral Difference schemes.The shock capturing methods include high-order filtering, localized artificial diffusivity, non-oscillatory numerical fluxes, and local low-order switching. The ability of the various high-order numerical methodologies to both capture shocks and represent accurately the development of turbulent vortices is assessed.

Text
055146_1_5.0206359 - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 29 April 2024
Published date: 17 May 2024

Identifiers

Local EPrints ID: 496816
URI: http://eprints.soton.ac.uk/id/eprint/496816
ISSN: 1070-6631
PURE UUID: f13e010a-503c-4061-8610-fab33ca911a2
ORCID for David J. Lusher: ORCID iD orcid.org/0000-0001-8874-5290
ORCID for Neil Sandham: ORCID iD orcid.org/0000-0002-5107-0944

Catalogue record

Date deposited: 08 Jan 2025 07:11
Last modified: 10 Jan 2025 03:07

Export record

Altmetrics

Contributors

Author: Jean-Baptiste Chapelier
Author: David J. Lusher ORCID iD
Author: William Van Noordt
Author: Christoph Wenzel
Author: Tobias Gibis
Author: Pascal Mossier
Author: Andrea Beck
Author: Guido Lodato
Author: Christoph Brehm
Author: Matteo Ruggeri
Author: Carlo Scalo
Author: Neil Sandham ORCID iD

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.

×