Spatial convergence with a smaller drop
The radius of the drop in the following simulations is 4.3 m and m. The previous simulations had drop with radius 1.1 m and m.
ID | Machine | scheme | |
104 | alice (4) stopped | 150 | central difference |
105 | renfield (4) 10589 | 300 | central difference |
106 | luggage (32) 40986 | 600 | central difference |
107 | benson (4) 15976 | 150 | power law |
108 | poole (4) 15934 | 300 | power law |
109 | 600 | power law | |
110 | sancho (4) stopped | 150 | van Leer |
111 | alice (4) 11750 | 300 | van Leer |
112 | benson (4) 19216 | 150 | QUICK |
Spatial Convergence
The Figure below shows triple junction position against time for thesimulations 93, 99, 100, 101, 102, 103. What is clear is that they don't all agree. In and off itself this is not a huge problem. As long as we can show that for some grid resolution their is convergence. If under resolved calculations spread in a similar manner and have the same trends we can get away with running parameter search-type simulations at under resolved conditions. Simulation 102 is running with a 900 x 900 grid. I think the drop size can be reduced for these convergence calculations. It is fairly clear that the weird spurious velocities at the triple junction go away when the van Leer or power law schemes are used.