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.

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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

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article

Theoretical results on a block preconditioner used in ice-sheet modeling: eigenvalue bounds for singular power-law fluids

Christian Helanow, Josefin Ahlkrona
Computational Geosciences
Advanced Numerical Methods in Computational Mathematics
article

Theoretical results on a block preconditioner used in ice-sheet modeling: eigenvalue bounds for singular power-law fluids

Christian Helanow, Josefin Ahlkrona
article en

Abstract

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.

Computational GeosciencesVol. 29(1)
Stockholm University (SE)
Swedish e-Science Research Centre, Stockholms Universitet
Openalex Percentile: Top 98%
Advanced Numerical Methods in Computational Mathematics
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Theoretical results on a block preconditioner used in ice-sheet modeling: eigenvalue bounds for singular power-law fluids — Christian Helanow, Josefin Ahlkrona · Computational Geosciences (2025) | TGRS Research Map | TGRS