Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime

Xiang I. A. Yang*, Mahdi Abkar, George I. Park

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

1 Citationer (Scopus)

Abstract

This study explores the grid convergence properties of wall-modeled large eddy simulation (WMLES) solutions as the large eddy simulation (LES) grid approaches the direct numerical simulation (DNS) grid. This aspect of WMLES is fundamental but has not been previously investigated or documented. We investigate two types of grid refinements: one where the LES/wall-model matching location is fixed at an off-wall grid point, and another where the matching location is fixed at a specific distance from the wall. In both cases, we refine the LES grid simultaneously in all three Cartesian directions, with grid resolution ranging from typical LES resolution to typical DNS resolution. Our focus is on examining the mean flow and turbulent kinetic energy (TKE) as the grid refines. While the turbulence statistics consistently converge toward the DNS solution, we observe nonmonotonic convergence in the mean flow statistics. We show that improving the grid resolution does not necessarily enhance the accuracy of the mean flow predictions. Specifically, we identify a negative log layer mismatch when the LES/wall-model matching location lies below the logarithmic layer, regardless of grid resolution and matching location. Finally, we demonstrate that the nonmonotonic convergence of the mean flow can lead to misleading conclusions from grid convergence studies of WMLES.

OriginalsprogEngelsk
Artikelnummer081501
TidsskriftJournal of Fluids Engineering, Transactions of the ASME
Vol/bind146
Nummer8
Antal sider8
ISSN0098-2202
DOI
StatusUdgivet - aug. 2024

Fingeraftryk

Dyk ned i forskningsemnerne om 'Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime'. Sammen danner de et unikt fingeraftryk.

Citationsformater