A Kalman filter adapted to the estimation of mean gradients in the large-eddy simulation of unsteady turbulent flows - Archive ouverte HAL Access content directly
Journal Articles Computers and Fluids Year : 2016

A Kalman filter adapted to the estimation of mean gradients in the large-eddy simulation of unsteady turbulent flows

Abstract

A computationally-efficient method based on Kalman filtering is introduced to capture “on the fly” the low-frequency (or very large-scale) patterns of a turbulent flow in a large-eddy simulation (LES). This method may be viewed as an adaptive exponential smoothing in time with a varying cut-off frequency that adjusts itself automatically to the local rate of turbulence of the simulated flow. It formulates as a recursive algorithm, which requires only few arithmetic operations per time step and has very low memory usage. In practice, this smoothing algorithm is used in LES to evaluate the low-frequency component of the rate of strain, and implement a shear-improved variant of the Smagrosinky’s subgrid-scale viscosity. Such approach is primarily devoted to the simulation of turbulent flows that develop large-scale unsteadiness associated with strong shear variations. As a severe test case, the flow past a circular cylinder at Reynolds number (in the subcritical turbulent regime) is examined in details. Aerodynamic and aeroacoustic features including spectral analysis of the velocity and the far-field pressure are found in good agreement with various experimental data. The Kalman filter suitably captures the pulsating behavior of the flow and provides meaningful information about the large-scale dynamics. Finally, the robustness of the method is assessed by varying the parameters entering in the calibration of the Kalman filter.
Fichier principal
Vignette du fichier
Boudet_24073.pdf (3.63 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01393342 , version 1 (31-07-2019)

Identifiers

Cite

Jérôme Boudet, Emmanuel Lévêque, Pierre Borgnat, Adrien Cahuzac, Marc C. Jacob. A Kalman filter adapted to the estimation of mean gradients in the large-eddy simulation of unsteady turbulent flows. Computers and Fluids, 2016, 127, pp.65-77. ⟨10.1016/j.compfluid.2015.12.006⟩. ⟨hal-01393342⟩
137 View
76 Download

Altmetric

Share

Gmail Facebook X LinkedIn More