High Performance Computing of Turbulent Flows
- 115 Downloads
The quest for unlimited geometric flexibility as a prerequisite to the integration of CFD into the design cycle for real engineering components has led, over the past few years, to the development of flexible three-dimensional multi-block and unstructured-grid schemes supported by sophisticated gridgeneration techniques. Current capabilities are such that quantitatively credible representations of flows around and within complex geometries can be attained by numerical computations, provided effects arising from turbulent transport do not contribute materially to the flow properties that govern important operational characteristics of the associated engineering configuration. This usually means that the boundary layers developing on its surface are thin and attached, and losses arising from turbulence are low and confined to a minor proportion of the whole flow domain. In contrast, for configurations such as wing-fuselage junctions and multi-stage turbomachines operating close to their ‘off-design’ conditions, the representation of turbulence effects can be of crucial importance to the predictive realism.
KeywordsLarge Eddy Simulation Direct Numerical Simulation High Performance Computing Memory Bank Cache Coherency
Unable to display preview. Download preview PDF.
- Craft, T.J., Launder, B.E. and Suga, K. (1995) A Non-Linear Eddy-Viscosity Model Including Sensitivity to Stress Anisotropy, Proc. 10th Symposium on Turbulent Shear Flows, The Pennsylvania State University, 3, 23.19.Google Scholar
- Durbin, P.A. (1995) Constitutive Equation for the k — ∈ — v’2 Model, Proc. 6th Int. Symp. on Computational Fluid Dynamics, Lake Tahoe, 1, 258.Google Scholar
- Lien, F.S. and Leschziner, M.A. (1995a) Computational Modelling of a Transitional 3D Turbine-Cascade Flow Using a Modified Low-Re k — ∈ Model and a Multi-Block Scheme, ASME Paper 95-CTP-80.Google Scholar
- Lien, F.S. and Leschziner, M.A. (1995b) Second-Moment Closure for Three-Dimensional Turbulent Flow Around and Within Complex Geometries, to appear in Computers & Fluids.Google Scholar
- Lien, F.S. and Leschziner, M.A. (1995c) Computational Modelling of Multiple Vortical Separation From Streamlined Body at High Incidence, Proc. 10th Symp. on Turbulent Shear Flows, The Pennsylvania State University, 1, 4.19.Google Scholar
- Lien, F.S., Chen, W.L. and Leschziner, M.A. (1995a) Low-Reynolds-Number Eddy-Viscosity Modelling Based on Non-Linear Stress-Strain/Vorticity Relations, Proc. 3rd Int. Symp. on Engineering Turbulence Modelling and Measurements, May 27-29, 1996, Crete, Greece.Google Scholar
- Lien, F.S., Chen, W.L. and Leschziner, M.A. (1995b) A Multi-Block Implementation of a Non-Orthogonal, Collocated Finite-Volume Algorithm for Complex Turbulent Flows, to appear in Int. J. Num. Meth. Fluids.Google Scholar
- Lien, F.S., Chen, W.L. and Leschziner, M.A. (1995c) Computational Modelling of a High-Lift Aerofoils With Turbulence-Transport Models, Proc. CEAS European Forum High Lift Separation Control, Bath, 10.1.Google Scholar
- Meier, H.U., Kreplin, H.P., Landhauser, A. and Baumgarten, D. (1984) Mean Velocity Distribution in 3D Boundary Layers Developing on a 1:6 Prolate Spheroid With Artificial Transition, DFVLR Report IB 222-84 A 11.Google Scholar
- Norris, L.H. and Reynolds, W.C. (1975) Turbulence Channel Flow With a Moving Wavy Boundary, Report FM-10, Dept. of Mech. Engrg., Stanford University.Google Scholar
- Shih, T.H., Zhu, J. and Lumley, J.L. (1993) A Realisable Reynolds Stress Algebraic Equation Model, NASA TM-105993.Google Scholar