An alternative derivation of the Germano identity as the residual of the LES equation
Siavash Toosi, Johan Larsson

TL;DR
This paper offers a new derivation of the Germano identity, interpreting its error as the residual of the LES equation, which aids in error estimation and grid adaptation in large eddy simulations.
Contribution
It provides an alternative derivation and interpretation of the Germano identity, linking its error directly to the LES residual and enhancing error analysis methods.
Findings
Germano identity error estimates LES residuals
Supports improved grid and filter adaptation
Facilitates uncertainty quantification in LES
Abstract
The Note presents an alternative derivation and interpretation of the Germano identity and its error, showing that the Germano identity error directly estimates the residual of the LES equation, i.e., the misfit when evaluating the inexact equation for the exact solution, and therefore represents the source of errors in LES. This has many applications, including for optimal output-based grid/filter-adaptation and uncertainty quantification in LES.
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Taxonomy
TopicsModel Reduction and Neural Networks · Fluid Dynamics and Turbulent Flows · Probabilistic and Robust Engineering Design
