Partitioned Exponential Methods for Coupled Multiphysics Systems
Multiphysics problems involving two or more coupled physical phenomena are ubiquitous in science and engineering. This work develops a new partitioned exponential approach for the time integration of multiphysics problems. After a possible semi-discretization in space, the class of problems under co...
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Zusammenfassung: | Multiphysics problems involving two or more coupled physical phenomena are
ubiquitous in science and engineering. This work develops a new partitioned
exponential approach for the time integration of multiphysics problems. After a
possible semi-discretization in space, the class of problems under
consideration is modeled by a system of ordinary differential equations where
the right-hand side is a summation of two component functions, each
corresponding to a given set of physical processes.
The partitioned-exponential methods proposed herein evolve each component of
the system via an exponential integrator, and information between partitions is
exchanged via coupling terms. The traditional approach to constructing
exponential methods, based on the variation-of-constants formula, is not
directly applicable to partitioned systems. Rather, our approach to developing
new partitioned-exponential families is based on a general-structure additive
formulation of the schemes. Two method formulations are considered, one based
on a linear-nonlinear splitting of the right hand component functions, and
another based on approximate Jacobians. The paper develops classical
(non-stiff) order conditions theory for partitioned exponential schemes based
on particular families of T-trees and B-series theory. Several practical
methods of third order are constructed that extend the Rosenbrock-type and
EPIRK families of exponential integrators. Several implementation optimizations
specific to the application of these methods to reaction-diffusion systems are
also discussed. Numerical experiments reveal that the new
partitioned-exponential methods can perform better than traditional
unpartitioned exponential methods on some problems. |
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DOI: | 10.48550/arxiv.1908.09434 |