Coarse grid selection method based on BDDC region decomposition parallel algorithm
A parallel algorithm and region decomposition technology, applied in design optimization/simulation, special data processing applications, etc., can solve problems such as low computing efficiency, and achieve the effect of ensuring stability and improving parallel simulation prediction efficiency.
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Embodiment 1
[0108] Embodiment 1 thin plate vibration model
[0109] Such as figure 1 Shown is the vibration of a single thin plate when it is supported by a uniform force on one side. The side length of a square thin plate is 1m, and the left boundary is fixed and supported by a uniform force f y For use, the size is 200MPa, the direction is along the negative direction of the y-axis, and the density of the sheet is ρ=1600kg / m 3 , Poisson's ratio μ=0.3. Divide 4, 16, 64 and 256 sub-domains for the overall calculation domain of the thin plate, and divide 256, 64, 16 and 4 units in each sub-domain to ensure that the total number of units in the overall calculation domain is 1024. The material coefficient between domains is E 1 =1×10 10 Pa and E 2 =1×10 13 Pa interval distribution, the eigenvalue parameter is taken as λ Tol =1. The four regions are divided into figure 2 shown.
[0110] Taking 256 units in each of the 4 sub-domains as an example, the coarse grid selection method ba...
Embodiment 2 3
[0232] Embodiment 2 Triangular prism type expandable film structure
[0233] Such as Figure 5 As shown, a triangular prism-type expandable film structure with a length of 100m is established. The degree of freedom of the model is 154848. By dividing the number of regions p=6, 12, 24, 36, the BDDC-based region decomposition disclosed by the present invention The coarse grid selection method of the parallel algorithm obtains an adaptive coarse grid applied to the BDDC region decomposition parallel algorithm and compares the iterative results of the original coarse grid selection method, as shown in Table 1:
[0234] Table 1 METIS regional decomposition results
[0235]
[0236] It can be seen that the condition number and iteration number of the iterative results of the BDDC region decomposition parallel algorithm increase significantly with the increase of the number of partitions after the original coarse grid selection method is adopted. For connecting parts, as the num...
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