Theoretical results on a block preconditioner used in ice-sheet modeling: eigenvalue bounds for singular power-law fluids
Abstract The properties of a block preconditioner that has been successfully used in finite element simulations of large scale ice-sheet flow is examined. The type of preconditioner, based on approximating the Schur complement with the mass matrix scaled by the variable viscosity, is well-known in the context of Stokes flow and has previously been analyzed for other types of non-Newtonian fluids. We adapt the theory to hold for the regularized constitutive (power-law) equation for ice and derive eigenvalue bounds of the preconditioned system for both Picard and Newton linearization using inf-sup stable finite elements. The eigenvalue bounds show that viscosity-scaled preconditioning clusters the eigenvalues well with only a weak dependence on the regularization parameter, while the eigenvalue bounds for the traditional non-viscosity-scaled mass-matrix preconditioner are very sensitive to the same regularization parameter. The results are verified numerically in two experiments using a manufactured solution with low regularity and a simulation of glacier flow. The numerical results further show that the computed eigenvalue bounds for the viscosity-scaled preconditioner are nearly independent of the regularization parameter. Experiments are performed using both Taylor-Hood and MINI elements, which are the common choices for inf-sup stable elements in ice-sheet models. Both elements conform well to the theoretical eigenvalue bounds, with MINI elements being more sensitive to the quality of the meshes used in glacier simulations.
Authors
- Christian Helanow (ORCID: https://orcid.org/0000-0003-4310-4873)
- Josefin Ahlkrona (ORCID: https://orcid.org/0000-0003-0329-0253)
Institutions
- Stockholm University (SE)
Publication Details
- Journal
- Computational Geosciences
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1007/s10596-025-10339-9
- Primary Topic
- Advanced Numerical Methods in Computational Mathematics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Swedish e-Science Research Centre
- Stockholms Universitet