Computational modelling of flow around a circular cylinder in sub-critical flow regime with various turbulence models (Q2717822)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Computational modelling of flow around a circular cylinder in sub-critical flow regime with various turbulence models |
scientific article; zbMATH DE number 1605912
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Computational modelling of flow around a circular cylinder in sub-critical flow regime with various turbulence models |
scientific article; zbMATH DE number 1605912 |
Statements
25 July 2001
0 references
\(k\)-epsilon turbulence model
0 references
circular cylinder
0 references
RANS approach
0 references
enhanced two-equation models
0 references
RNG techniques
0 references
anisotropic models
0 references
LES approach
0 references
sub-grid scale models
0 references
near-wall modification
0 references
finite element discretization
0 references
four-noded quadrilateral elements
0 references
Strouhal frequency
0 references
drag
0 references
lift
0 references
pressure distribution
0 references
0.8874561
0 references
0.8859904
0 references
0.8813579
0 references
0.88098556
0 references
0.8805874
0 references
0.8752591
0 references
Computational modelling of flow around a circular cylinder in sub-critical flow regime with various turbulence models (English)
0 references
Two-dimensional numerical simulations of a flow past a circular cylinder at \(\text{Re} =1.4\times 10^5\) are presented comparing different types of turbulence models. The RANS approach using enhanced two-equation models, i.e. nonlinear \(k-\varepsilon\), models with RNG techniques and anisotropic models are compared with LES approach using classical sub-grid scale models with a near-wall modification. The employed commercial numerical code is based on a finite element discretization with four-noded quadrilateral elements. The authors also give a comparison between different numerical simulations with experimental data for typical quantities, like Strouhal frequency, drag and lift coefficients, and pressure distribution.
0 references