Finite element-based large eddy simulation using a combination of the variational multiscale method and the dynamic Smagorinsky model. Issue 5 (4th May 2017)

• Record Type: Journal Article
• Authors: Tran, Steven; Sahni, Onkar
• Is Part Of: Journal of turbulence. Volume 18:Issue 5(2017)
• Page Start: 391
• Page End: 417
• Publication Date: 2017-05-04
• Subjects: Large eddy simulation -- residual-based variational multiscale method -- dynamic Smagorinsky eddy-viscosity model -- combined dynamic model -- localised version of variational Germano identity; Turbulence -- Periodicals; Turbulence -- Périodiques; 532.0527
• DOI: 10.1080/14685248.2017.1280607
• Languages: English
• ISSNs: 1468-5248

Abstract

ABSTRACT: A finite element-based large eddy simulation (LES) is proposed using a combination of the residual-based variational multiscale (RBVMS) approach and the dynamic Smagorinsky eddy-viscosity model. In this combined model, the cross-stress terms are modelled using the RBVMS approach while the eddy-viscosity model is used to represent the Reynolds stresses. The eddy-viscosity is computed dynamically in a local fashion for which a localized version of the variational Germano identity is developed. To improve the robustness of the local dynamic procedure, two types of averaging schemes are considered. The first type employs spatial averaging over homogeneous direction(s) which is only applicable to turbulent flows with statistical homogeneity in at least one direction. The second type is based on Lagrangian averaging over fluid pathtubes, which is applicable to inhomogeneous turbulent flows. The predictions from the combined model are compared to the direct numerical simulation or experimental data and also to the predictions from the RBVMS model. This is done for two cases: turbulent flow in a channel ( Re τ = 590) and flow over a cylinder ( Re D = 3, 900). For the turbulent channel flow, predictions are similar between the RBVMS model and the combined model. For flow over a cylinder, the combined model provides better predictions, specifically for fluctuations in the streamwise velocity and lift.