Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

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

Title: Comparison of high-order numerical methodologies for the simulation of the supersonic Taylor–Green vortex flow
Authors: 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; Sandham, Neil
Publication Year: 2024
Collection: University of Southampton: e-Prints Soton
Description: 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.
Document Type: article in journal/newspaper
File Description: text
Language: English
Relation: https://eprints.soton.ac.uk/496816/1/055146_1_5.0206359.pdf; 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 ).
Availability: https://eprints.soton.ac.uk/496816/; https://eprints.soton.ac.uk/496816/1/055146_1_5.0206359.pdf
Accession Number: edsbas.86BE2F3D
Database: BASE