Preconditioning nonlocal multi-phase flow
Creators
- 1. Department of Computer Science, University of Oxford, Oxford, OX1 3QD (United Kingdom)
- 2. Department of Mathematics, University of Sussex, Brighton, BN1 9RF (United Kingdom)
Description
Highlights: • We propose an efficient, mesh independent solver for discretisations of multi-phase Allen–Cahn variational inequalities. • The solver has only a very mild dependence on the number of phase field variables. • For two phase scalar Allen–Cahn variational inequalities we prove convergence of the approximation in 3 GMRES iterations. We propose an efficient solver for saddle point problems arising from finite element approximations of nonlocal multi-phase Allen–Cahn variational inequalities. The solver is seen to behave mesh independently and to have only a very mild dependence on the number of phase field variables. In addition we prove convergence, in three GMRES iterations, of the approximation of the two phase problem, regardless of mesh size or interfacial width. Numerical results are presented that illustrate the competitiveness of this approach.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jcp.2020.109715Additional details
Identifiers
- DOI
- 10.1016/j.jcp.2020.109715;
- PII
- S0021999120304897;
Publishing Information
- Journal Title
- Journal of Computational Physics (Print)
- Journal Volume
- 424
- Journal Page Range
- vp.
- ISSN
- 0021-9991
- CODEN
- JCTPAH
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54002019
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- FINITE ELEMENT METHOD; MULTIPHASE FLOW; OPTIMIZATION; PARTIAL DIFFERENTIAL EQUATIONS; SCALARS; VARIATIONAL METHODS
- Descriptors DEC
- CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; FLUID FLOW; MATHEMATICAL SOLUTIONS; NUMERICAL SOLUTION
Optional Information
- Copyright
- Copyright (c) 2020 Published by Elsevier Inc. All rights reserved.