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A scalable distributed parallel framework for Eulerian state-based peridynamics under extreme deformation
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DOI：10.1016/j.advengsoft.2026.104182.png)
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Abstract
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• A distributed parallel framework is developed for Eulerian state-based peridynamics. • Nonlocal overhead is reduced by dynamic load balancing and halo-layer communication. • A two-level cross-domain neighbor search improves parallel efficiency. • Periodic boundary conditions support large-scale infinite-domain simulations. • Large-scale jet simulations demonstrate strong scalability and physical fidelity.
Keywords:
Eulerian state-based peridynamics
distributed parallel framework
dynamic load balancing
large-scale simulations
extreme deformation
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