Partial Differential Equations - Modelling and ... - ResearchGate
Partial Differential Equations - Modelling and ... - ResearchGate Partial Differential Equations - Modelling and ... - ResearchGate
Fluid Flows with Complex Free Surfaces 193 mesh and a finer structured grid of cells. Let T h be the triangulation of the cavity Λ. For any vertex P of T h ,letψ P be the corresponding finite element basis function (i.e. the continuous, piecewise linear function having value one at P , zero at the other vertices). Then, ϕ n+1 P , the volume fraction of liquid at vertex P and time t n+1 is computed by: ⎛ ⎞ ⎞ ϕ n+1 ⎜ ∑ P = ⎝ K∈T h P ∈K ∑ ijk C ijk ∈K ψ P (C ijk )ϕ n+1 ijk ⎛ ⎟ ⎠ / ⎜ ∑ ⎝ K∈T h P ∈K ∑ ijk C ijk ∈K ⎟ ψ P (C ijk ) ⎠ , (10) where C ijk is the center of the cell (ijk). The same kind of formula is used to obtain the predicted velocity v n+ 1 2 at the vertices of the finite element mesh. When these values are available at the vertices of the finite element mesh, the approximation of the liquid region Ω n+1 h used for solving (9) is defined as the union of all elements of the mesh K ∈T h with (at least) one of its vertices P such that ϕ n+1 P > 0.5, the approximation of the free surface being denoted by Γ n+1 h . Numerical experiments reported in [MPR99, MPR03] have shown that choosing the size of the cells of the structured mesh approximately 5 to 10 times smaller than the size of the finite elements is a good choice to reduce numerical diffusion of the interface Γ t . Furthermore, since the characteristics method is used, the time step is not restricted by the CFL number (which is the ratio between the time step times the maximal velocity divided by the mesh size). Numerical results in [MPR99, MPR03] have shown that a good choice generally consists in choosing CFL numbers ranging from 1 to 5. Remark 2. In number of industrial mold filling applications, the shape of the cavity containing the liquid (the mold) is complex. Therefore, a special, hierarchical, data structure has been implemented in order to reduce the memory requirements, see [MPR03, RDG + 00]. The cavity is meshed into tetrahedra for the resolution of the diffusion problem. For the advection part, a hierarchical structure of blocks, which cover the cavity and are glued together, is defined. A computation is performed inside a block if and only if it contains cells with liquid. Otherwise the whole block is deactivated. The diffusion step consists in solving the Stokes problem (9) with finite element techniques. Let v n+1 h (resp. p n+1 h ) be the piecewise linear approximation of v n+1 (resp. p n+1 ). The Stokes problem is solved with stabilized P 1 −P 1 finite elements (Galerkin Least Squares, see [FF92]) and consists in finding the velocity v n+1 h and pressure p n+1 h such that:
194 A. Bonito et al. ∫ v n+1 h − v n+1/2 h ρ Ω n+1 δt n w dx +2 h ∫ ∫ − − fwdx − ∑ ∫ ( α K Ω n+1 h K⊂Ω n+1 h K Ω n+1 h v n+1 h ∫ Ω n+1 h µD(v n+1 h ):D(w) dx ∫ p n+1 h div w dx − Ω n+1 h − v n+1/2 h δt n + ∇p n+1 h − f div v n+1 h qdx ) ·∇qdx =0, (11) for all w and q the velocity and pressure test functions, compatible with the boundary conditions on the boundary of the cavity Λ. The value of the parameter α K is discussed in [MPR99, MPR03]. The projection of the continuous piecewise linear approximation v n+1 h back on the cell (ijk) is obtained by interpolation of the piecewise finite element approximation at the center C ijk of the cell. It allows to obtain a value of the velocity v n+1 ijk on each cell ijk of the structured grid for the next time step. 2.4 Numerical Results The classical “vortex-in-a-box” test case widely treated in the literature is considered here [RK98]. The initial liquid domain is a circle of radius 0.015 with its center located in (0.05, 0.075). It is stretched by a given velocity, given by the stream function ψ(x, y) =0.01π sin 2 (πx/0.1) sin 2 (πy/0.1) cos(πt/2). The velocity being periodic in time, the initial liquid domain is reached after a time T = 2. Figure 4 illustrates the liquid-gas interface for three structured meshes [CPR05]. The interface with maximum deformation and the interface after one period of time are represented. Numerical results show the efficiency and convergence of the scheme. An S-shaped channel lying between two horizontal plates is filled. The channel is contained in a 0.17 m × 0.24 m rectangle. The distance between the two horizontal plates is 0.008 m. Water is injected at one end with Fig. 4. Single vortex test case, representation of the computed interface at times t = 1 (maximal deformation) and t = 2 (return to initial shape). Left: coarser mesh, middle: middle mesh, right: finer mesh.
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Fluid Flows with Complex Free Surfaces 193<br />
mesh <strong>and</strong> a finer structured grid of cells. Let T h be the triangulation of the<br />
cavity Λ. For any vertex P of T h ,letψ P be the corresponding finite element<br />
basis function (i.e. the continuous, piecewise linear function having value one<br />
at P , zero at the other vertices). Then, ϕ n+1<br />
P<br />
, the volume fraction of liquid at<br />
vertex P <strong>and</strong> time t n+1 is computed by:<br />
⎛<br />
⎞<br />
⎞<br />
ϕ n+1 ⎜<br />
∑<br />
P<br />
= ⎝<br />
K∈T h<br />
P ∈K<br />
∑<br />
ijk<br />
C ijk ∈K<br />
ψ P (C ijk )ϕ n+1<br />
ijk<br />
⎛<br />
⎟<br />
⎠ / ⎜<br />
∑<br />
⎝<br />
K∈T h<br />
P ∈K<br />
∑<br />
ijk<br />
C ijk ∈K<br />
⎟<br />
ψ P (C ijk ) ⎠ , (10)<br />
where C ijk is the center of the cell (ijk). The same kind of formula is used to<br />
obtain the predicted velocity v n+ 1 2 at the vertices of the finite element mesh.<br />
When these values are available at the vertices of the finite element mesh, the<br />
approximation of the liquid region Ω n+1<br />
h<br />
used for solving (9) is defined as the<br />
union of all elements of the mesh K ∈T h with (at least) one of its vertices P<br />
such that ϕ n+1<br />
P<br />
> 0.5, the approximation of the free surface being denoted by<br />
Γ n+1<br />
h<br />
.<br />
Numerical experiments reported in [MPR99, MPR03] have shown that<br />
choosing the size of the cells of the structured mesh approximately 5 to 10<br />
times smaller than the size of the finite elements is a good choice to reduce<br />
numerical diffusion of the interface Γ t . Furthermore, since the characteristics<br />
method is used, the time step is not restricted by the CFL number (which<br />
is the ratio between the time step times the maximal velocity divided by the<br />
mesh size). Numerical results in [MPR99, MPR03] have shown that a good<br />
choice generally consists in choosing CFL numbers ranging from 1 to 5.<br />
Remark 2. In number of industrial mold filling applications, the shape of the<br />
cavity containing the liquid (the mold) is complex. Therefore, a special, hierarchical,<br />
data structure has been implemented in order to reduce the memory<br />
requirements, see [MPR03, RDG + 00]. The cavity is meshed into tetrahedra<br />
for the resolution of the diffusion problem. For the advection part, a hierarchical<br />
structure of blocks, which cover the cavity <strong>and</strong> are glued together, is<br />
defined. A computation is performed inside a block if <strong>and</strong> only if it contains<br />
cells with liquid. Otherwise the whole block is deactivated.<br />
The diffusion step consists in solving the Stokes problem (9) with finite<br />
element techniques. Let v n+1<br />
h<br />
(resp. p n+1<br />
h<br />
) be the piecewise linear approximation<br />
of v n+1 (resp. p n+1 ). The Stokes problem is solved with stabilized P 1 −P 1<br />
finite elements (Galerkin Least Squares, see [FF92]) <strong>and</strong> consists in finding<br />
the velocity v n+1<br />
h<br />
<strong>and</strong> pressure p n+1<br />
h<br />
such that: