In the field of turbulent flow modelling, implicit Large-Eddy Simulation (iLES) is appealing for its low cost and ease of implementation. Such advantages rely on the absence of a sub-grid scale model, since the dissipation of the numerical scheme is assumed to match the behaviour of unresolved turbulence. The implementation of an iLES model in traditional Unsteady-RANS codes for Computational Fluid Dynamics is not a straightforward exercise, as most of the classical schemes used for the discretisation of the Navier–Stokes equations prove too dissipative. This work presents a low-dissipation fix for the traditional Flux-Difference Splitting scheme of Roe in the context of Finite-Volume discretisations. The fix consists in selectively scaling the eigenvalues of the Roe matrix to lower the numerical dissipation as needed, by means of a scalar parameter. The low-dissipation version of the Roe scheme is implemented in an existing Finite-Volume compressible wall-resolved URANS code, to obtain an iLES model. The solver is first verified on a fundamental test case, i.e. vortex transport in uniform flow. The scalar parameter is then properly calibrated on the decay of Homogeneous Isotropic Turbulence, to ensure physical meaningfulness. A robust validation of the iLES model is finally presented on realistic turbulent flows. Results show that a relatively simple fix can achieve excellent agreement with the benchmark DNS data on a flat-wall channel flow and a bumped-wall channel flow.

(2025). Validation of a low-dissipation Finite-Volume solver for implicit Large-Eddy Simulation [journal article - articolo]. In COMPUTERS & FLUIDS. Retrieved from https://hdl.handle.net/10446/311426

Validation of a low-dissipation Finite-Volume solver for implicit Large-Eddy Simulation

Carnevale, Mauro
2025-01-01

Abstract

In the field of turbulent flow modelling, implicit Large-Eddy Simulation (iLES) is appealing for its low cost and ease of implementation. Such advantages rely on the absence of a sub-grid scale model, since the dissipation of the numerical scheme is assumed to match the behaviour of unresolved turbulence. The implementation of an iLES model in traditional Unsteady-RANS codes for Computational Fluid Dynamics is not a straightforward exercise, as most of the classical schemes used for the discretisation of the Navier–Stokes equations prove too dissipative. This work presents a low-dissipation fix for the traditional Flux-Difference Splitting scheme of Roe in the context of Finite-Volume discretisations. The fix consists in selectively scaling the eigenvalues of the Roe matrix to lower the numerical dissipation as needed, by means of a scalar parameter. The low-dissipation version of the Roe scheme is implemented in an existing Finite-Volume compressible wall-resolved URANS code, to obtain an iLES model. The solver is first verified on a fundamental test case, i.e. vortex transport in uniform flow. The scalar parameter is then properly calibrated on the decay of Homogeneous Isotropic Turbulence, to ensure physical meaningfulness. A robust validation of the iLES model is finally presented on realistic turbulent flows. Results show that a relatively simple fix can achieve excellent agreement with the benchmark DNS data on a flat-wall channel flow and a bumped-wall channel flow.
articolo
2025
De Cosmo, Giove; Di Mare, Luca; Carnevale, Mauro
(2025). Validation of a low-dissipation Finite-Volume solver for implicit Large-Eddy Simulation [journal article - articolo]. In COMPUTERS & FLUIDS. Retrieved from https://hdl.handle.net/10446/311426
File allegato/i alla scheda:
File Dimensione del file Formato  
1-s2.0-S0045793025000830-main.pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Creative commons
Dimensione del file 4.56 MB
Formato Adobe PDF
4.56 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/311426
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact