Abstract
This paper considers the implementation of sub-grid scale (SGS) models for large eddy simulation (LES) or hybrid Reynolds-averaged Navier-Stokes (RANS)/LES methods. The paper describes how to reconcile Smagorinsky-type eddy viscosity SGS models with monotonically-integrated large eddy simulation (MILES) approaches by using ‘Smart’ SGS models that understand, and compensate for, the inherent diffusion in the underlying numerical transport algorithm. An improved ‘burst’ model of synthetic turbulence is also introduced for applications to inhomogeneous turbulence.
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