By Maurice Holt
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Extra info for 2nd Int'l Conference on Numerical Methods in Fluid Dynamics
And Zang, T. 1992. Toward the largeeddy simulation of compressible turbulent flows. FDIBOJDT 238: 155–185. H. 1996. Chapter 3 Large eddy simulation. PEFMJOH PG5VSCVMFOU'MPXT ed. B. Y. L. Lumley, 109–154. Oxford, UK: Oxford University Press. , and Cabot, W. H. 1991. A dynamic sub-grid scale eddy viscosity model. 1IZT'MVJET A 3: 1760–1765. , and Kleiser, L. 1995. Modeling of nonparallel effects in temporal direct numerical simulations of compressible boundary-layer transition. ThFPSFUJDBMBOE$PNQVUBUJPOBM'MVJE%ZOBNJDT 7: 141–157.
In general, LES has reduced modeling impact compared to RANS. LES offers significantly more accurate results than RANS for flows involving vortical structures and separation and for acoustic predictions. Over the last two decades, the hybridization of LES and RANS has drawn much attention in CFD, mainly for wall-bounded flow problems. Most SGS models display an inability of correctly accounting for the anisotropy and disequilibrium in near-wall regions. For LES, the computational demands increase significantly in the vicinity of walls if the near-wall flow motions are going to be directly resolved, and simulating such flows usually exceeds the limits of available computers.
The combination of a large number of mesh points for spatial resolution and a small time step for time-marching leads to very high computational costs of DNS, even at low Reynolds numbers. For the Reynolds numbers encountered in most industrial applications, the computational resources required by DNS would exceed the capacity of the most powerful computers currently available. However, direct numerical simulation is a useful tool in fundamental research in turbulence. A well-defined DNS can be regarded as a detailed “numerical experiment,” from which useful databases can be established.
2nd Int'l Conference on Numerical Methods in Fluid Dynamics by Maurice Holt