XLES Part I: Introduction to Extended Large Eddy Simulation
Christoph Glawe, Heiko Schmidt, Alan R. Kerstein, Rupert Klein

TL;DR
This paper introduces XLES, a generalized filtering strategy for turbulence modeling, and discusses its theoretical foundation and potential to simulate highly turbulent flows efficiently by combining 3D large scales with 1D turbulence models.
Contribution
It presents the formal theory of XLES and demonstrates how ODTLES integrates 1D turbulence models with 3D simulations for improved turbulence modeling.
Findings
XLES converges to DNS results in basic tests.
Unconventional XLES advection approach is effective.
ODTLES can simulate highly turbulent flows efficiently.
Abstract
Direct numerical simulation (DNS), mostly used in fundamental turbulence research, is limited to low turbulent intensities due the current and future computer resources. Standard turbulence models, like RaNS (Reynolds averaged Navier-Stokes) and LES (Large Eddy Simulation), are applied to flows in engineering, but they miss small scale effects, which are frequently of importance, see e.g. the whole area of reactive flows, flows with apparent Prandtl or Schmidt number effects, or even wall bounded flows. A recent alternative to these standard approaches is the one-dimensional turbulence (ODT) model, which is limited to 1D sub-domains. In two papers we will provide a generalized filter strategy, called XLES (extended LES), including a formal theory (part I) and one special approach in the XLES family of models, called ODTLES (in part II (see Glawe et al. (2015))). ODTLES uses an ODT…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Computational Fluid Dynamics and Aerodynamics · Aerodynamics and Acoustics in Jet Flows
