Abstract

In this work, we use the OpenMP-based shared-memory parallel programming to implement the recently developed coupling method of state-based peridynamics and smoothed particle hydrodynamics (PD-SPH), and we then employ the program to simulate dynamic soil fragmentation induced by the explosion of the buried explosives. The paper offers detailed technical description and discussion on the PD-SHP coupling algorithm and how to use the OpenMP shared-memory programming to implement such large-scale computation in a desktop environment, with an example to illustrate the basic computing principle and the parallel algorithm structure. In specific, the paper provides a complete OpenMP parallel algorithm for the PD-SPH scheme with the programming and parallelization details. Numerical examples of soil fragmentation caused by the buried explosives are also presented. Results show that the simulation carried out by the OpenMP parallel code is much faster than that by the corresponding serial computer code.

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