TY - JOUR
T1 - A variational multiscale method for incompressible turbulent flows
T2 - Bubble functions and fine scale fields
AU - Masud, Arif
AU - Calderer, Ramon
N1 - Funding Information:
The authors thank Prof. T.J.R. Hughes for helpful discussions on VMS methods, and Prof. R.L. Taylor for discussions on implementation in the parallel version of FEAP. Mark Vanmoer of National Center for Supercomputing Applications generated some figures ( Figs. 1, 6, 16 ). Computing resources were provided by the Teragrid Program under grant TG-DMS100004 , and the Computational Science and Engineering program at the University of Illinois . During the course of this work, R. Calderer was supported by a fellowship from Caja Madrid Foundation. This support is gratefully acknowledged.
PY - 2011/8/1
Y1 - 2011/8/1
N2 - This paper presents a residual-based turbulence model for the incompressible Navier-Stokes equations. The method is derived employing the variational multiscale (VMS) framework. A multiscale decomposition of the continuous solution and a priori unique decomposition of the admissible spaces of functions lead to two coupled nonlinear problems termed as the coarse-scale and the fine-scale sub-problems. The fine-scale velocity field is assumed to be nonlinear and time-dependent and is modeled via the bubble functions approach applied directly to the fine-scale sub-problem. A significant contribution in this paper is a systematic and consistent derivation of the fine-scale variational operator, commonly termed as the stabilization tensor that possesses the right order in the advective and diffusive limits, and variationally projects the fine-scale solution onto the coarse-scale space. A direct treatment of the fine-scale problem via bubble functions offers several fine-scale approximation options with varying degrees of mathematical sophistication that are investigated via benchmark problems. Numerical accuracy of the proposed method is shown on a forced-isotropic turbulence problem, statistically stationary turbulent channel flow problems at ReT=395 and 590, and non-equilibrium turbulent flow around a cylinder at Re=3,900.
AB - This paper presents a residual-based turbulence model for the incompressible Navier-Stokes equations. The method is derived employing the variational multiscale (VMS) framework. A multiscale decomposition of the continuous solution and a priori unique decomposition of the admissible spaces of functions lead to two coupled nonlinear problems termed as the coarse-scale and the fine-scale sub-problems. The fine-scale velocity field is assumed to be nonlinear and time-dependent and is modeled via the bubble functions approach applied directly to the fine-scale sub-problem. A significant contribution in this paper is a systematic and consistent derivation of the fine-scale variational operator, commonly termed as the stabilization tensor that possesses the right order in the advective and diffusive limits, and variationally projects the fine-scale solution onto the coarse-scale space. A direct treatment of the fine-scale problem via bubble functions offers several fine-scale approximation options with varying degrees of mathematical sophistication that are investigated via benchmark problems. Numerical accuracy of the proposed method is shown on a forced-isotropic turbulence problem, statistically stationary turbulent channel flow problems at ReT=395 and 590, and non-equilibrium turbulent flow around a cylinder at Re=3,900.
KW - Bubble functions
KW - Large eddy simulation
KW - Residual-based turbulence model
KW - Stabilized finite elements
KW - Turbulence modeling
KW - Variational multiscale method
UR - http://www.scopus.com/inward/record.url?scp=79957516760&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957516760&partnerID=8YFLogxK
U2 - 10.1016/j.cma.2011.04.010
DO - 10.1016/j.cma.2011.04.010
M3 - Article
AN - SCOPUS:79957516760
SN - 0045-7825
VL - 200
SP - 2577
EP - 2593
JO - Computer Methods in Applied Mechanics and Engineering
JF - Computer Methods in Applied Mechanics and Engineering
IS - 33-36
ER -