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Adaptivity with moving grids

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64 C. J. Budd, W. Huang and R. D. Russell<br />

2<br />

2<br />

1.5<br />

1.5<br />

1<br />

1<br />

0.5<br />

0.5<br />

y<br />

0<br />

y<br />

0<br />

-0.5<br />

-0.5<br />

-1<br />

-1<br />

-1.5<br />

-1.5<br />

-2<br />

-2 -1.5 -1 -0.5 0 0.5 1 1.5 2<br />

x<br />

(a) M iso, (l, m) =(2, 1)<br />

-2<br />

-2 -1.5 -1 -0.5 0 0.5 1 1.5 2<br />

x<br />

(b) M ani,2, (l, m) =(2, 1)<br />

Figure 3.5. Example 3. Adaptive meshes of size N =81× 81<br />

obtained using the variational method (2.40) (θ =0.1) for different<br />

monitor functions based on isotropic and anisotropic interpolation<br />

error estimates.<br />

Z<br />

1<br />

X<br />

1<br />

Y<br />

0.8<br />

0.8<br />

0.6<br />

0.4<br />

z<br />

y<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

0.2<br />

0.4<br />

y<br />

0.6<br />

0.8<br />

1<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

x<br />

0.2<br />

0<br />

0<br />

0.2<br />

0<br />

0 0.2 0.4 0.6 0.8 1<br />

x<br />

(a) Winslow’s type; (k, m) =(1, 1)<br />

(b) Winslow’s type; (k, m) =(1, 1)<br />

Figure 3.6. Example 4. An adaptive mesh of size N =65× 65 × 65<br />

obtained using the variational method (2.40) (θ =0.1) for a monitor<br />

function based on interpolation error. (a) Cut-away plot of the<br />

mesh. (b) Plane projection of slice at K z = 32 of the mesh in (a).

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