A FETI approach to domain decomposition for meshfree discretizations of nonlocal problems

We propose a domain decomposition method for the efficient simulation of nonlocal problems. Our approach is based on a multi-domain formulation of a nonlocal diffusion problem where the subdomains share “nonlocal” interfaces of the size of the nonlocal horizon. This system of nonlocal equations is f...

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Veröffentlicht in:Computer methods in applied mechanics and engineering 2021-12, Vol.387, p.114148, Article 114148
Hauptverfasser: Xu, Xiao, Glusa, Christian, D’Elia, Marta, Foster, John T.
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Sprache:eng
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Zusammenfassung:We propose a domain decomposition method for the efficient simulation of nonlocal problems. Our approach is based on a multi-domain formulation of a nonlocal diffusion problem where the subdomains share “nonlocal” interfaces of the size of the nonlocal horizon. This system of nonlocal equations is first rewritten in terms of minimization of a nonlocal energy, then discretized with a meshfree approximation and finally solved via a Lagrange multiplier approach in a way that resembles the finite element tearing and interconnect method. Specifically, we propose a distributed projected gradient algorithm for the solution of the Lagrange multiplier system, whose unknowns determine the nonlocal interface conditions between subdomains. Several two-dimensional numerical tests on problems as large as 191 million unknowns illustrate the strong and the weak scalability of our algorithm, which outperforms the standard approach to the distributed numerical solution of the problem. This work is the first rigorous numerical study in a two-dimensional multi-domain setting for nonlocal operators with finite horizon and, as such, it is a fundamental step towards increasing the use of nonlocal models in large scale simulations. •First rigorous numerical study in a multi-domain setting for nonlocal operators with finite horizon.•Numerical tests show that the proposed approach outperforms commonly used parallel solvers.•The parallel iterative solver exhibits excellent weak and strong scalability properties.
ISSN:0045-7825
1879-2138
DOI:10.1016/j.cma.2021.114148