Spectral Modeling of Turbulent Flows and the Role of Helicity
Julien Baerenzung (OCA), Helene Politano (OCA), Yannick Ponty (OCA),, Annick Pouquet (NCAR)

TL;DR
This paper introduces a dynamic spectral model for large eddy simulation that adapts to flow conditions, incorporates phase information, and considers helicity effects, improving the accuracy of turbulence modeling.
Contribution
The model uniquely combines adaptive energy spectra, phase information, and helicity considerations for enhanced turbulence simulation accuracy.
Findings
Better treatment of transient phases and instabilities.
Accurate reproduction of large-scale spectral behavior.
Effective modeling of helical flow dynamics.
Abstract
We present a new version of a dynamical spectral model for Large Eddy Simulation based on the Eddy Damped Quasi Normal Markovian approximation \cite{sao,chollet_lesieur}. Three distinct modifications are implemented and tested. On the one hand, whereas in current approaches, a Kolmogorov-like energy spectrum is usually assumed in order to evaluate the nonlocal transfer, in our method the energy spectrum of the subgrid scales adapts itself dynamically to the large-scale resolved spectrum; this first modification allows in particular for a better treatment of transient phases and instabilities, as shown on one specific example. Moreover, the model takes into account the phase relationships of the small-scales, embodied for example in strong localized structures such as vortex filaments. To that effect, phase information is implemented in the treatment of the so-called eddy noise in the…
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