LES of Shock Wave/Turbulent Boundary Layer Interaction
M. S. Loginov (),
N. A. Adams and
A. A. Zheltovodov
Additional contact information
M. S. Loginov: Dresden University of Technology, Institute of Fluid Mechanics
N. A. Adams: Dresden University of Technology, Institute of Fluid Mechanics
A. A. Zheltovodov: Institute of Theoretical and Applied Mechanics
A chapter in High Performance Computing in Science and Engineering’ 04, 2005, pp 177-188 from Springer
Abstract:
Abstract Shock-wave/turbulent-boundary-layer interaction compression-ramp flow is a canonical test configuration for statistical turbulence modeling. Extensive experimental data are available, whereas computational data focus mainly on Reynolds-averaged computations employing a wide range of turbulence models. In figure 1 basic flow features are sketched [Zhe91]. The undisturbed incoming turbulent boundary layer interacts with the shock wave, for suffi-ciently large deflection angles resulting in a separation region near the com-pression corner, and a A-shock system containing the separation region. Sub-sequently the disturbed boundary layer passes through the Prandtl-Meyer expansion near the decompression corner and finally relaxes towards a devel-oped zero-pressure-gradient boundary layer.
Keywords: Wall Pressure; Boundary Layer Interaction; Wall Pressure Fluctuation; Compression Ramp; Compression Corner (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-26589-4_19
Ordering information: This item can be ordered from
http://www.springer.com/9783540265894
DOI: 10.1007/3-540-26589-9_19
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().