Large Eddy simulation of high-Reynolds-number free and wall-bounded flows

By Christer Fureby, Fernando Grinstein. 2000

344 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ef2eae3a7bb8a316a3c61255b6c923865428d444

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In Computational Mechanics

Citations in the corpus

An adaptive local deconvolution method for implicit LES (2005, background): “It can be observed that the truncation error of nonlinear discretization schemes contains functional expressions which are similar to explicit SGS models [27,28].”
Artificial Fluid Properties for Large-Eddy Simulation of Compressible Turbulent Mixing (2007, methodology): “Such is the approach of Implicit Large-Eddy Simulation (ILES) [Schumann, 1975, Fureby and Grinstein, 2002, Margolin and Rider, 2002, 2005, Hickel et al., 2006].”
Advances in turbulent flow computations using high-resolution methods (2003, methodology): “The idea to use these methods as an implicit way to numerically model turbulent flows is referred to as monotonically integrated LES (MILES) [16, 17, 19], implicit turbulence modelling [22] or embedded turbulence modelling [24, 25].”
Simulation of transition and turbulence decay in the Taylor–Green vortex (2007, unknown): “Recent surveys on ILES are presented in [ 5 , 9 , 10 , 11 ].”
A computational parameter study for the three-dimensional shock–bubble interaction (2007, methodology): “Although the current simulations do not resolve the dissipative length scales on which mixing takes place physically, we rely on the MILES (monotonically integrated large-eddy simulation) approach (see Fureby & Grinstein 2002) to capture the dissipative intermingling of fluids here.”
A new dynamical core for the Met Office's global and regional modelling of the atmosphere (2005, unknown): “On small scales, the use of monotone advection schemes provides a flow-dependent dissipation which has been shown in several studies to give realistic results; see, for instance, the review by Fureby and Grinstein (2002).”
Implicit Large Eddy Simulation of transition to turbulence at low Reynolds numbers using a Discontinuous Galerkin method (2011, methodology): “It is possible to show that a numerical method solves a certain differential equation more accurately than the original equation, and that for certain methods ‘leading-order truncation error terms introduced provide implicit SGS models similar in form to those of the conventional mixed SGS models’ [”