Abstract:This paper introduces a high-order time stepping technique for solving the incompressible Navier-Stokes equations which, unlike coupled techniques, does not require solving a saddle point problem at each time step and, unlike projection methods, does not produce splitting errors and spurious boundary layers. The technique is a generalization of the artificial compressibility method; it is unconditionally stable (for the unsteady Stokes equations), can reach any order in time, and uncouples the velocity and the… Show more
“…If ∥ · ∥ and (·, ·) are the norm and the inner product in L 2 (Ω), then multiplying Eq. (7) by ψ we easily obtain: ∥f (x, s)∥ds (11) holds. This stability estimate must be satisfied, in some discrete sense, by any stable scheme for approximation of the Eqs.…”
“…This procedure can be extended to 3D, however, in such case it will eventually require the solution of one parabolic and one elliptic vectorial problems. So, it may not be competitive to various projection or artificial compressibility methods in primitive variables (see [10,11] for examples of such schemes). However, the present approach has one major advantage as compared to these schemes which is that it conserves mass exactly point wise (not just in a discrete sense) because from the discrete stream function values it is quite straightforward to produce a velocity approximation that is divergence free point wise.…”
a b s t r a c tThe stream function-vorticity formulation of the (Navier-)Stokes equations yields a coupled system of a parabolic equation for the vorticity and an elliptic equation for the stream function. The essential coupling between them occurs through the boundary conditions which in case of a Dirichlet boundary involve only the stream function. Therefore, the boundary condition for the vorticity must be derived from them and thus the vorticity equation must be coupled to the stream function equation via its boundary condition. In this paper we propose an unconditionally stable splitting scheme for the unsteady Stokes equations in a stream function-vorticity formulation, that decouples the vorticity and stream function computations at each time step. The spatial discretization is based on a finite volume discretization on (generally) unstructured Delaunay grids and corresponding Voronoi finite volume cells. A generalization of the well-known Thom vorticity boundary condition is derived for such grids and the corresponding discrete problem is decoupled by a two-step splitting scheme which results in a decoupled discrete parabolic problem for the vorticity and an elliptic problem for the stream function. Furthermore, the scheme is extended to the unsteady Navier-Stokes equations. Finally, the stability and accuracy of the resulting schemes are demonstrated on numerical examples.
“…If ∥ · ∥ and (·, ·) are the norm and the inner product in L 2 (Ω), then multiplying Eq. (7) by ψ we easily obtain: ∥f (x, s)∥ds (11) holds. This stability estimate must be satisfied, in some discrete sense, by any stable scheme for approximation of the Eqs.…”
“…This procedure can be extended to 3D, however, in such case it will eventually require the solution of one parabolic and one elliptic vectorial problems. So, it may not be competitive to various projection or artificial compressibility methods in primitive variables (see [10,11] for examples of such schemes). However, the present approach has one major advantage as compared to these schemes which is that it conserves mass exactly point wise (not just in a discrete sense) because from the discrete stream function values it is quite straightforward to produce a velocity approximation that is divergence free point wise.…”
a b s t r a c tThe stream function-vorticity formulation of the (Navier-)Stokes equations yields a coupled system of a parabolic equation for the vorticity and an elliptic equation for the stream function. The essential coupling between them occurs through the boundary conditions which in case of a Dirichlet boundary involve only the stream function. Therefore, the boundary condition for the vorticity must be derived from them and thus the vorticity equation must be coupled to the stream function equation via its boundary condition. In this paper we propose an unconditionally stable splitting scheme for the unsteady Stokes equations in a stream function-vorticity formulation, that decouples the vorticity and stream function computations at each time step. The spatial discretization is based on a finite volume discretization on (generally) unstructured Delaunay grids and corresponding Voronoi finite volume cells. A generalization of the well-known Thom vorticity boundary condition is derived for such grids and the corresponding discrete problem is decoupled by a two-step splitting scheme which results in a decoupled discrete parabolic problem for the vorticity and an elliptic problem for the stream function. Furthermore, the scheme is extended to the unsteady Navier-Stokes equations. Finally, the stability and accuracy of the resulting schemes are demonstrated on numerical examples.
“…Then, we impose that c 2 =Δ t , where Δ t is controlled with a Courant number of 10. With a fully implicit Euler scheme, the velocity and the pressure equation are uncoupled by restructuring the equations . MINI element is still used.…”
Summary
We introduce a new flexible mesh adaptation approach to efficiently compute a quantity of interest by the finite element method. Efficiently, we mean that the method provides an evaluation of that quantity up to a predetermined accuracy at a lower computational cost than other classical methods. The central pillar of the method is our scalar error estimator based on sensitivities of the quantity of interest to the residuals. These sensitivities result from the computation of a continuous adjoint problem. The mesh adaptation strategy can drive anisotropic mesh adaptation from a general scalar error contribution of each element. The full potential of our error estimator is then reached. The proposed method is validated by evaluating the lift, the drag, and the hydraulic losses on a 2D benchmark case: the flow around a cylinder at a Reynolds number of 20.
“…|p n + 1 − p n − 1 | grows as k → 0 but is reduced by the Robert-Asselin (RA) filter. Here, m is the slope of the line-of-best-fit This is a common simplification made in the analysis of artificial compression and pressure projection methods, for example, [10][11][12][13][14][15][16]. Section 3 also gives a (necessarily technical) sharpening of the stability of pressure.…”
Artificial compression methods create nonphysical acoustic waves. Time filters, often used in geophysical fluid dynamics, are shown in this paper to selectively damp these acoustics. We analyze the stability of a two‐step artificial compression method with the Robert–Asselin (RA) time filter, and provide tests delineating the filter's positive effects on both stability and accuracy.
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