Recent progress on reliability assessment of large-eddy simulation

Geurts, B.J., Rouhi, A. ORCID: 0000-0002-7837-418X and Piomelli, U., 2019. Recent progress on reliability assessment of large-eddy simulation. Journal of Fluids and Structures, 91: 102615. ISSN 0889-9746

[img] Text
1378990_Rouhi2.pdf - Post-print
Full-text access embargoed until 3 May 2021.

Download (3MB)

Abstract

Reliability assessment of large-eddy simulation (LES) of turbulent flows requires consideration of errors due to shortcomings in the modeling of sub-filter scale dynamics and due to discretization of the governing filtered Navier–Stokes equations. The Integral Length-Scale Approximation (ILSA) model is a pioneering sub-filter parameterization that incorporates both these contributions to the total simulation error, and provides user control over the desired accuracy of a simulation. It combines an imposed target for the ‘sub-filter activity’ and a flow-specific length-scale definition to achieve LES predictions with pre-defined fidelity level. The performance of the ‘global’ and the ‘local’ formulations of ILSA, implemented as eddy-viscosity models, for turbulent channel flow and for separated turbulent flow over a backward-facing step are investigated here. We show excellent agreement with reference direct numerical simulations, with experimental data and with predictions based on other, well-established sub-filter models. The computational overhead is found to be close to that of a basic Smagorinsky sub-filter model.

Item Type: Journal article
Publication Title: Journal of Fluids and Structures
Creators: Geurts, B.J., Rouhi, A. and Piomelli, U.
Publisher: Elsevier
Date: November 2019
Volume: 91
ISSN: 0889-9746
Identifiers:
NumberType
10.1016/j.jfluidstructs.2019.03.008DOI
S0889974618307333Publisher Item Identifier
1378990Other
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 28 Oct 2020 10:55
Last Modified: 28 Oct 2020 10:55
URI: http://irep.ntu.ac.uk/id/eprint/41419

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year