2016
DOI: 10.1051/epjconf/201611402012
|View full text |Cite
|
Sign up to set email alerts
|

Finite volume - space-time discontinuous Galerkin method for the solution of compressible turbulent flow

Abstract: Abstract. In this article we deal with numerical simulation of the non-stationary compressible turbulent flow. Compressible turbulent flow is described by the Reynolds-Averaged Navier-Stokes (RANS) equations. This RANS system is equipped with two-equation k-omega turbulence model. These two systems of equations are solved separately. Discretization of the RANS system is carried out by the space-time discontinuous Galerkin method which is based on piecewise polynomial discontinuous approximation of the sought s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
5

Relationship

3
2

Authors

Journals

citations
Cited by 7 publications
(6 citation statements)
references
References 6 publications
0
6
0
Order By: Relevance
“…We use either explicit or implicit finite volume method (FVM) to solve the systems sequentionally. Other possible discretizations were shown in [17,18]. Here we present the discretization of the system (1) using FVM.…”
Section: Methodsmentioning
confidence: 99%
“…We use either explicit or implicit finite volume method (FVM) to solve the systems sequentionally. Other possible discretizations were shown in [17,18]. Here we present the discretization of the system (1) using FVM.…”
Section: Methodsmentioning
confidence: 99%
“…We use either explicit or implicit finite volume method (FVM) to solve the systems sequentionally. Other possible discretizations were shown in [16,17]. Here we present the discretization of the system (1) using FVM.…”
Section: Methodsmentioning
confidence: 99%
“…One possibility of linearization ofR s ands is via Taylor expansion which is used in our case. For more details see [6].…”
Section: Turbulence Modelmentioning
confidence: 99%