By M. Germano (auth.), R. Friedrich, W. Rodi (eds.)
The articles specialise in new advancements within the box of large-eddy simulation of advanced flows and are with regards to the subjects: modelling and research of subgrid scales, numerical concerns in LES cartesian grids for complicated geometries, curvilinear and non-structured grids for complicated geometries. DES and RANS-LES coupling, plane wake vortices, combustion and magnetohydrodynamics.
Progress has been made not just in knowing and modelling the dynamics of unresolved scales, but in addition in designing signifies that hinder the illness of LES predictions by way of discretization error. growth is mentioned besides at the use of cartesian and curvilinear coordinates to compute movement in and round advanced geometries and within the box of LES with unstructured grids. A bankruptcy is devoted to the detached-eddy simulation approach and its contemporary achievements and to the promising means of coupling RANS and LES recommendations so that it will push the resolution-based Reynolds quantity restrict of wall-resolving LES to raised values.
Complexity because of actual mechanisms hyperlinks the final chapters. it truly is proven that LES constitutes the software to examine the physics of airplane wake vortices in the course of touchdown and takeoff. Its thorough figuring out is a prerequisite for trustworthy predictions of the space among consecutive touchdown airplanes. Subgrid combustion modelling for LES of unmarried and two-phase reacting flows is established to have the aptitude to accommodate finite-rate kinetics in excessive Reynolds quantity flows of full-scale fuel turbine engines. Fluctuating magnetic fields are extra reliably anticipated by means of LES while tensor-diffusivity instead of gradient-diffusion types are used. An encouraging bring about the context of turbulence keep watch over by way of magnetic fields.
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Additional info for Advances in LES of Complex Flows: Proceedings of the Euromech Colloquium 412, held in Munich, Germany 4–6 October 2000
Example text
The usefulness of generalized similarity models in actual LES will be considered next. Clearly, if the reconstruction of the unfiltered solution would 18 BERNARD J. GEURTS be accurate, the generalized similarity model would provide a good representation of the turbulent stress tensor. It was observed that the generalized models display a high correlation coefficient [21]. A more detailed assessment of the suitability of generalized similarity models is shown in figure 1. Here we compare the Bardina model B with the generalized similarity model based on second order inversion G and the combination Clearly, the rough features of are captured by all models to some degree.
The results obtained with ADM are shown with dotted lines and the filtered DNS data with solid lines. The profiles for the last stations show that the position of the shock predicted with ADM is in good agreement with the shock location of the DNS. The most difficult quantity to predict correctly is the skin friction, see Fig. 9(a). Although for the correct prediction of the mean quantities and the fluctuations a coarser mesh resolution would be sufficient a higher resolution in streamwise and wall-normal direction is needed for a correct prediction of the skin friction.
Applying the filter operator (2) to the one-dimensional transport equation (1) and collecting non-closed terms as subgrid-scale terms on the right-hand side gives for the filtered generic transport equation Note that for filter kernels G with smooth Fourier transforms (transfer functions) the definition of the non-dimensional cut-off wavenumber is to some extent arbitrary. Here we choose generally the criterion . Wavenumbers close to are, however, not well represented by the numerical discretization.