Parallel peridynamics–SPH simulation of explosion induced soil fragmentation by using OpenMP

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...

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Bibliographic Details
Published in:Computational particle mechanics Vol. 4; no. 2; pp. 199 - 211
Main Authors: Fan, Houfu, Li, Shaofan
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.04.2017
Springer Nature B.V
Subjects:
Algorithms
Classical and Continuum Physics
Computational fluid dynamics
Computational Science and Engineering
Computer memory
Computer simulation
Coupling
Engineering
Explosives
Fluid flow
Fragmentation
Parallel processing
Parallel programming
Smooth particle hydrodynamics
Software
Soil dynamics
Theoretical and Applied Mechanics
Soil fragmentation
Parallel computation
Peridynamics
SPH
Buried explosive
OpenMP
ISSN:2196-4378, 2196-4386
Online Access:Get full text
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Summary: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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ISSN:2196-4378
2196-4386
DOI:10.1007/s40571-016-0116-5