Shock-capturing method using characteristic-based dissipation filters in pressure-based algorithm

In this paper, an efficient blending procedure based on the pressure-based algorithm is presented to solve the compressible Euler equations on a non-orthogonal mesh with collocated finite volume formulation. The boundedness criteria for this procedure are determined from total variation diminishing...

Full description

Saved in:
Bibliographic Details
Published inActa mechanica Vol. 209; no. 1-2; pp. 99 - 113
Main Authors Djavareshkian, M. H., Abdollahi Jahdi, M. H.
Format Journal Article
LanguageEnglish
Published Vienna Springer Vienna 2010
Springer
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In this paper, an efficient blending procedure based on the pressure-based algorithm is presented to solve the compressible Euler equations on a non-orthogonal mesh with collocated finite volume formulation. The boundedness criteria for this procedure are determined from total variation diminishing (TVD) schemes with and without applying of artificial compression method (ACM) of Harten as a control switch of dissipation. The fluxes of the convected quantities including mass flow rate are approximated by using the characteristic-based TVD and TVD/ACM methods. The algorithm is tested for steady-state inviscid flows at different Mach numbers ranging from the transonic to the supersonic regime and the results are compared with the existing numerical solutions. The comparisons show that the ACM is a useful technique to modify standard high-resolution schemes, which prevents the smearing of discontinuities and improves the resolution of shocks in the pressure-based algorithm. Aside from having the ability of accurately capturing shocked flows, this approach also accelerates the convergence rate of the solution in the supersonic flows with only a maximum increase of 5% in the operations with respect to standard second-order TVD schemes.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0001-5970
1619-6937
DOI:10.1007/s00707-009-0144-9