Adaptivity with moving grids
Adaptivity with moving grids
Adaptivity with moving grids
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<strong>Adaptivity</strong> <strong>with</strong> <strong>moving</strong> <strong>grids</strong> 19<br />
The condition (2.10) plays an important role in our subsequent analysis of<br />
the errors of computations on both static and <strong>moving</strong> non-uniform meshes.<br />
The ratio between lengths of adjacent elements is also used in Dorfi and<br />
Drury (1987) and studied by Verwer, Blom, Furzeland and Zegeling (1989).<br />
The concept of quasi-uniformity has natural extensions to higher dimensions<br />
augmented <strong>with</strong> small angle conditions. For example, in two dimensions,<br />
if we have a triangulation τ P then this is shape-regular, ensuring<br />
control over small angles, if, for each element τ e ∈ τ p <strong>with</strong> area |τ e |, longest<br />
side of length h e and interior circle of diameter ρ e ,wehaveaconstantσ 1<br />
such that<br />
max<br />
τ e<br />
h e<br />
ρ e<br />
≤ σ 1 . (2.11)<br />
Such a shape-regular mesh is then quasi-uniform if there is a second constant<br />
σ 2 for which<br />
max τe∈τp |τ e |<br />
min τe∈τP |τ e | ≤ σ 2. (2.12)<br />
As in the one-dimensional case, quasi-uniform meshes have similar error<br />
estimates to uniform ones (Johnson 1987). However, it is often much harder<br />
to achieve this for time-dependent problems.<br />
2.3. Mesh calculation, mesh tangling and mesh racing<br />
The function F must be determined as part of the process of calculating τ P .<br />
This map can be calculated either explicitly or implicitly. In the explicit<br />
method, an equation is derived for F which is expressed in terms of the<br />
position of the mesh points. This (usually large and nonlinear) system is<br />
then solved to find F and hence to determine the location of the mesh.<br />
This procedure lies at the heart of a number of equidistribution positionbased<br />
methods for calculating the mesh, such as the <strong>moving</strong> mesh partial<br />
differential equation, optimal transport and variational methods.Typically<br />
such methods cluster the mesh points where high precision is required, and<br />
the location of points of density of the mesh points moves as the solution<br />
evolves (in a similar manner to a longitudinal wave passing down the length<br />
of a spring, whilst the coils of the spring do not move very far from their<br />
equilibrium positions).<br />
In an alternative procedure, the velocity v of the mesh points in τ P is<br />
determined. This is given by<br />
v = F t . (2.13)<br />
The mesh point positions are updated using this velocity. This approach<br />
is very closely linked <strong>with</strong> particle and Lagrangian methods and includes<br />
methods such as GCL, MFE and the deformation map method. (Using the<br />
analogy above, such methods are like <strong>moving</strong> the whole spring.)