Higher-order iterative decoupling for poroelasticity

Abstract For the iterative decoupling of elliptic–parabolic problems such as poroelasticity, we introduce time discretization schemes up to order five based on the backward differentiation formulae. Its analysis combines techniques known from fixed-point iterations with the convergence analysis of the temporal discretization. As the main result, we show that the convergence depends on the interplay between the time step size and the parameters for the contraction of the iterative scheme. Moreover, this connection is quantified explicitly, which allows for balancing the single error components. Several numerical experiments illustrate and validate the theoretical results, including a three-dimensional example from biomechanics.

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Publication Details

Journal
Advances in Computational Mathematics
Published
2024-11-15
DOI
https://doi.org/10.1007/s10444-024-10200-0
Citations
3
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
1.60

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article

Higher-order iterative decoupling for poroelasticity

Benjamin Unger, Abdullah Mujahid, Robert Altmann
3 citations
Advances in Computational Mathematics
Seismic Imaging and Inversion Techniques
1.60
article

Higher-order iterative decoupling for poroelasticity

Benjamin Unger, Abdullah Mujahid, Robert Altmann
article en
3 citations

Abstract

Abstract For the iterative decoupling of elliptic–parabolic problems such as poroelasticity, we introduce time discretization schemes up to order five based on the backward differentiation formulae. Its analysis combines techniques known from fixed-point iterations with the convergence analysis of the temporal discretization. As the main result, we show that the convergence depends on the interplay between the time step size and the parameters for the contraction of the iterative scheme. Moreover, this connection is quantified explicitly, which allows for balancing the single error components. Several numerical experiments illustrate and validate the theoretical results, including a three-dimensional example from biomechanics.

Advances in Computational MathematicsVol. 50(6)
University of Stuttgart (DE), Simulation Technologies (United States) (US), Otto-von-Guericke-Universität Magdeburg (DE)
Deutsche Forschungsgemeinschaft, Universität Stuttgart
Openalex Percentile: Top 18%
Seismic Imaging and Inversion Techniques
1.60
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Higher-order iterative decoupling for poroelasticity — Benjamin Unger, Abdullah Mujahid, et al. · Advances in Computational Mathematics (2024) | TGRS Research Map | TGRS