Abstract
The computing efficiency of three-dimensional discontinuous deformation analysis (3D-DDA) needs to be improved for large-scale simulations. Among all the subroutines of 3D-DDA, the equation solver is very time-consuming. To accelerate the equation-solving process, this paper proposes implementing the parallel block Jacobi (BJ) and preconditioned conjugate gradient (PCG) iterative solvers into the original 3D-DDA based on OpenMP. The calculation accuracy and computational efficiency are studied by several numerical examples, demonstrating that the modified 3D-DDA with parallel BJ or PCG solver exhibits much higher execution efficiency with satisfactory correctness. The maximum speedup ratio is up to 5.1 for the cases studied.
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