2005
DOI: 10.1137/040614463
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Computation of Mean Drag for Bluff Body Problems Using Adaptive DNS/LES

Abstract: Abstract. We compute the time average of the drag in two benchmark bluff body problems: a surface mounted cube at Reynolds number 40000, and a square cylinder at Reynolds number 22000, using Adaptive DNS/LES. In Adaptive DNS/LES the Galerkin least-squares finite element method is used, with adaptive mesh refinement until a given stopping criterion is satisfied. Both the mesh refinement criterion and the stopping criterion are based on a posteriori error estimates of a given output of interest, in the form of a… Show more

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Cited by 50 publications
(59 citation statements)
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“…This methodology is validated for a number of standard benchmark problems in the literature, 4,5,6,7 and in the following sections we describe the basic elements of the G2 method, also referred to as Adaptive DNS/LES, or simply Direct finite element simulation (DFS). For the particular problem proposed in the HiLiftPW-2, we used a low order finite element discretization on unstructured tetrahedral meshes, which we refer to as cG (1) …”
Section: Simulation Methodologymentioning
confidence: 99%
“…This methodology is validated for a number of standard benchmark problems in the literature, 4,5,6,7 and in the following sections we describe the basic elements of the G2 method, also referred to as Adaptive DNS/LES, or simply Direct finite element simulation (DFS). For the particular problem proposed in the HiLiftPW-2, we used a low order finite element discretization on unstructured tetrahedral meshes, which we refer to as cG (1) …”
Section: Simulation Methodologymentioning
confidence: 99%
“…For this case, viscous effects are not negligible so that the viscosity is kept in the model (1), and no slip boundary conditions are chosen where the velocity is set to zero on the solid boundary Γ . DFS in the form of the cG(1)cG(1) method has been validated for a number of model problems of simple geometry bluff bodies, including a surface mounted cube and a rectangular cylinder [12,11], a sphere [13] and a circular cylinder [14]. In each case, convergence is observed for output quantities such as drag, lift and pressure coefficients, and Strouhal numbers, and the adaptive algorithm leads to an efficient method often using orders of magnitude fewer number of degrees of freedom compared to LES methods based on ad hoc design of the mesh.…”
Section: Medium Reynolds Number Flowmentioning
confidence: 99%
“…This local energy equation connects to a dissipative weak Euler solution [33], with inertial energy dissipation resulting from local non-smoothness of the solution, and not from any viscosity. The dissipative term D n h (Û ) in (13) reflects local non-smoothness in the solution identified by the residuals, and is observed to be independent of h under sufficient mesh resolution [12,15] …”
Section: Residual Based Numerical Dissipation and Withmentioning
confidence: 99%
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“…To solve the Euler equations computationaly we use an adaptive finite element method referred to as EG2 with a duality-based a posteriori error control of drag/lift presented in detail in [25,20,21,23,24], and in executable form available from the Unicorn-project under FEniCS [37], allowing direct verification of the computational results of this note.…”
Section: Introductionmentioning
confidence: 99%