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Grid adaptation for implicit Large Eddy Simulation (LES) is a non-trivialchallenge due to the inherent coupling of the modeling and numerical errors. Anattempt to address the challenge first requires a comprehensive assessment andthen the development of error estimators to highlight regions that requirerefinement. Following the work of Schranner et al., a novel approach toestimate the numerical dissipation of the turbulent kinetic energy (TKE)equations is proposed. The presented approach allows the computation of thelocal numerical dissipation for arbitrary curvilinear grids through apost-processing procedure. This method, as well as empirical andkinetic-energy-based approaches, are employed to estimate the inherentnumerical TKE. We incorporate the numerical TKE to evaluate an effective eddyviscosity, an effective Kolmogorov length scale, and an effective TKE to builda family of Index Quality (IQ) based error estimators. The proposed IQ basedestimators are then assessed and utilized to show their effectiveness throughan application of grid adaptation for the periodic hill test case andtransitional flow over the SD 7003 airfoil. Numerical results are validatedthrough a comparison against reference LES and experimental data. Flow over theadapted grids appear better abled to capture pertinent flow features andintegrated functions, such as the lift and drag coefficients.

Numerical Dissipation Based Error Estimators and Grid Adaptation for Large Eddy Simulation