Adaptivity with moving grids
Adaptivity with moving grids
Adaptivity with moving grids
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In this calculation we suppose that<br />
<strong>Adaptivity</strong> <strong>with</strong> <strong>moving</strong> <strong>grids</strong> 83<br />
(x n+1 ,y n+1 )=(x n ,y n )+∆t(ẋ, ẏ).<br />
Cell averages at time t n over a (time-evolving mesh cell) of area A n j+1/2,k+1/2<br />
are now given by Uj+1/2,k+1/2 n , etc., and the normal mesh speed relative to<br />
the surfaces of the mesh cell is given by<br />
v =ẋn x +ẏn y , where the unit normal is given by (n x ,n y ).<br />
The conservative interpolation scheme proposed is<br />
A n+1<br />
j+1/2,k+1/2Û j+1/2,k+1/2 n = An j+1/2,k+1/2 U j+1/2,k+1/2 n (3.52)<br />
+∆t ([ (vU n ) j+1,k+1/2 +(vU n ]<br />
) j,k+1/2<br />
+ [ (vU n ) j+1/2,k+1 +(vU n ) j+1/2,k<br />
])<br />
.<br />
This scheme preserves discrete mass to leading order. Again a MUSCL<br />
method can be used to advance the solution of the PDE. This method is<br />
then used to solve the double-Mach reflection problem and various other<br />
problems <strong>with</strong> contact discontinuities arising in the solution of the Euler<br />
equations.<br />
4. Velocity-based <strong>moving</strong> mesh methods<br />
In this section we will look in some more detail at velocity-based methods<br />
for <strong>moving</strong> meshes. These are also called Lagrangian methods, and they<br />
rely on calculating the mesh point velocities and from this the mesh point<br />
locations. In some ways these methods are very natural, since in (say) fluid<br />
mechanics calculations, natural solution features are often convected <strong>with</strong><br />
the flow, and it is natural to evolve the mesh points to follow the flow itself.<br />
(Note the huge popularity of the semi-Lagrangian and the characteristic<br />
Galerkin methods.) However, velocity-based methods can easily have severe<br />
implementation problems, and overcoming them remains a challenging<br />
issue. These include significant mesh tangling, <strong>with</strong> associated skewness,<br />
and also a tendency to create meshes which lag behind the solution. Indeed,<br />
it is very possible for such meshes to have unstable movement, to<br />
move well away from equidistributed solutions and to lead to permanently<br />
distorted skewed and even frozen meshes, even after the significant solution<br />
structures have long gone. Some examples of this type of behaviour will<br />
be presented in our discussion of the GCL method. For these reasons the<br />
overall performance of these methods is, in general, not as good as that<br />
of the position-based methods described in the last section, and hence we<br />
will spend less time discussing them. We now describe three velocity-based<br />
methods: the <strong>moving</strong> finite element method (MFE), the geometric conservation<br />
law method (GCL), and the deformation map method.