Weak Dirichlet Boundary Conditions for Wall-Bounded Turbulent Flows

Abstract In turbulence applications, strongly imposed no-slip conditions often lead to inaccurate mean flow quantities for coarse boundary-layer meshes. To circumvent this shortcoming, weakly imposed Dirichlet boundary conditions for fluid dynamics were recently introduced in [Y. Bazilevs, T.J.R. Hughes, Weak imposition of Dirichlet boundary conditions in fluid mechanics, Comput. Fluids 36 (2007) 12–26]. In the present work, we propose a modification of the original weak boundary condition formulation that consistently incorporates the well-known “law of the wall”. To compare the different methods, we conduct numerical experiments for turbulent channel flow at Reynolds number 395 and 950. In the limit of vanishing mesh size in the wall-normal direction, the weak boundary condition acts like a strong boundary condition. Accordingly, strong and weak boundary conditions give essentially identical results on meshes that are stretched to better capture boundary layers. However, on uniform meshes that are incapable of resolving boundary layers, weakly imposed boundary conditions deliver significantly more accurate mean flow quantities than their strong counterparts. Hence, weakly imposed boundary conditions present a robust technique for flows of industrial interest, where optimal mesh design is usually not feasible and resolving boundary layers is prohibitively expensive. Our numerical results show that the formulation that incorporates the law of the wall yields an improvement over the original method.

[1]  T. Hughes,et al.  Streamline upwind/Petrov-Galerkin formulations for convection dominated flows with particular emphasis on the incompressible Navier-Stokes equations , 1990 .

[2]  Parviz Moin,et al.  Zonal Embedded Grids for Numerical Simulations of Wall-Bounded Turbulent Flows , 1996 .

[3]  Thomas J. R. Hughes,et al.  Weak imposition of Dirichlet boundary conditions in fluid mechanics , 2007 .

[4]  G. I. Barenblatt Scaling: Self-similarity and intermediate asymptotics , 1996 .

[5]  Douglas N. Arnold,et al.  Unified Analysis of Discontinuous Galerkin Methods for Elliptic Problems , 2001, SIAM J. Numer. Anal..

[6]  Alessandro Reali,et al.  Isogeometric Analysis of Structural Vibrations , 2006 .

[7]  D. Spalding A Single Formula for the “Law of the Wall” , 1961 .

[8]  T. Tezduyar Computation of moving boundaries and interfaces and stabilization parameters , 2003 .

[9]  T. Hughes,et al.  Isogeometric analysis : CAD, finite elements, NURBS, exact geometry and mesh refinement , 2005 .

[10]  Javier Jiménez,et al.  Scaling of the energy spectra of turbulent channels , 2003, Journal of Fluid Mechanics.

[11]  Thomas J. R. Hughes,et al.  Sensitivity of the scale partition for variational multiscale large-eddy simulation of channel flow , 2004 .

[12]  T. Hughes,et al.  Isogeometric Fluid–structure Interaction Analysis with Applications to Arterial Blood Flow , 2006 .

[13]  T. Hughes,et al.  A new finite element formulation for computational fluid dynamics: II. Beyond SUPG , 1986 .

[14]  T. Hughes,et al.  Large Eddy Simulation and the variational multiscale method , 2000 .

[15]  G. Hulbert,et al.  A generalized-α method for integrating the filtered Navier–Stokes equations with a stabilized finite element method , 2000 .

[16]  J. R. Ockendon,et al.  SIMILARITY, SELF‐SIMILARITY AND INTERMEDIATE ASYMPTOTICS , 1980 .

[17]  O. Pironneau,et al.  Analysis of the K-epsilon turbulence model , 1994 .

[18]  T. Hughes,et al.  Variational multiscale residual-based turbulence modeling for large eddy simulation of incompressible flows , 2007 .

[19]  Thomas J. R. Hughes,et al.  Large eddy simulation of turbulent channel flows by the variational multiscale method , 2001 .

[20]  T. Hughes,et al.  ISOGEOMETRIC ANALYSIS: APPROXIMATION, STABILITY AND ERROR ESTIMATES FOR h-REFINED MESHES , 2006 .

[21]  Thomas J. R. Hughes,et al.  The multiscale formulation of large eddy simulation: Decay of homogeneous isotropic turbulence , 2001 .

[22]  Javier Jiménez,et al.  A critical evaluation of the resolution properties of B-Spline and compact finite difference methods , 2001 .

[23]  Jintai Chung,et al.  A Time Integration Algorithm for Structural Dynamics With Improved Numerical Dissipation: The Generalized-α Method , 1993 .

[24]  Parviz Moin,et al.  B-Spline Method and Zonal Grids for Simulations of Complex Turbulent Flows , 1997 .

[25]  Thomas J. R. Hughes,et al.  A new finite element formulation for computational fluid dynamics: III. The generalized streamline operator for multidimensional advective-diffusive systems , 1986 .

[26]  R. Moser,et al.  Two-Dimensional Mesh Embedding for B-spline Methods , 1998 .

[27]  Thomas J. R. Hughes,et al.  Multiscale and Stabilized Methods , 2007 .

[28]  Victor M. Calo,et al.  Residual-based multiscale turbulence modeling: Finite volume simulations of bypass transition , 2005 .

[29]  T. Hughes,et al.  A new finite element formulation for computational fluid dynamics. X - The compressible Euler and Navier-Stokes equations , 1991 .

[30]  Thomas J. R. Hughes,et al.  Energy transfers and spectral eddy viscosity in large-eddy simulations of homogeneous isotropic turbulence: Comparison of dynamic Smagorinsky and multiscale models over a range of discretizations , 2004 .

[31]  Victor M. Calo,et al.  The role of continuity in residual-based variational multiscale modeling of turbulence , 2007 .

[32]  John Kim,et al.  DIRECT NUMERICAL SIMULATION OF TURBULENT CHANNEL FLOWS UP TO RE=590 , 1999 .

[33]  T. Hughes,et al.  Sensitivity of the scale partition for variational multiscale LES of channel flow , 2004 .

[34]  Jurijs Bazilevs,et al.  Isogeometric analysis of turbulence and fluid -structure interaction , 2006 .

[35]  T. Hughes,et al.  Variational and Multiscale Methods in Turbulence , 2005 .

[36]  M. Wheeler An Elliptic Collocation-Finite Element Method with Interior Penalties , 1978 .