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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.

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