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Volume 17, Issue 3
Convergence Analysis of a Global-in-Time Iterative Decoupled Algorithm for Biot’s Model

Huipeng Gu, Mingchao Cai & Jingzhi Li

Adv. Appl. Math. Mech., 17 (2025), pp. 778-803.

Published online: 2025-03

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  • Abstract

Biot’s model is a multiphysics model that describes the interaction of a poroelastic material with its interstitial fluid flow. In this study, we focus on investigating the convergence behavior of a global-in-time iterative decoupled algorithm based on a three-field formulation. During each iteration, the algorithm involves solving a reaction-diffusion subproblem across the entire temporal domain, followed by resolving a Stokes subproblem over the same time interval. This algorithm is recognized for its ”partially parallel-in-time” property, enabling the implementation of a parallel procedure when addressing the Stokes subproblem. We establish its global convergence with a new technique by confirming that the limit of the sequence of numerical solutions of the global-in-time algorithm is the numerical solution of the fully coupled algorithm. Numerical experiments validate the theoretical predictions and underline the efficiency gained by implementing the parallel procedure within the proposed global-in-time algorithm.

  • AMS Subject Headings

65N30, 65N45, 65N15, 65Pxx

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{AAMM-17-778, author = {Gu , HuipengCai , Mingchao and Li , Jingzhi}, title = {Convergence Analysis of a Global-in-Time Iterative Decoupled Algorithm for Biot’s Model}, journal = {Advances in Applied Mathematics and Mechanics}, year = {2025}, volume = {17}, number = {3}, pages = {778--803}, abstract = {

Biot’s model is a multiphysics model that describes the interaction of a poroelastic material with its interstitial fluid flow. In this study, we focus on investigating the convergence behavior of a global-in-time iterative decoupled algorithm based on a three-field formulation. During each iteration, the algorithm involves solving a reaction-diffusion subproblem across the entire temporal domain, followed by resolving a Stokes subproblem over the same time interval. This algorithm is recognized for its ”partially parallel-in-time” property, enabling the implementation of a parallel procedure when addressing the Stokes subproblem. We establish its global convergence with a new technique by confirming that the limit of the sequence of numerical solutions of the global-in-time algorithm is the numerical solution of the fully coupled algorithm. Numerical experiments validate the theoretical predictions and underline the efficiency gained by implementing the parallel procedure within the proposed global-in-time algorithm.

}, issn = {2075-1354}, doi = {https://doi.org/10.4208/aamm.OA-2024-0074}, url = {http://global-sci.org/intro/article_detail/aamm/23898.html} }
TY - JOUR T1 - Convergence Analysis of a Global-in-Time Iterative Decoupled Algorithm for Biot’s Model AU - Gu , Huipeng AU - Cai , Mingchao AU - Li , Jingzhi JO - Advances in Applied Mathematics and Mechanics VL - 3 SP - 778 EP - 803 PY - 2025 DA - 2025/03 SN - 17 DO - http://doi.org/10.4208/aamm.OA-2024-0074 UR - https://global-sci.org/intro/article_detail/aamm/23898.html KW - Biot’s model, a global-in-time algorithm, linear convergence. AB -

Biot’s model is a multiphysics model that describes the interaction of a poroelastic material with its interstitial fluid flow. In this study, we focus on investigating the convergence behavior of a global-in-time iterative decoupled algorithm based on a three-field formulation. During each iteration, the algorithm involves solving a reaction-diffusion subproblem across the entire temporal domain, followed by resolving a Stokes subproblem over the same time interval. This algorithm is recognized for its ”partially parallel-in-time” property, enabling the implementation of a parallel procedure when addressing the Stokes subproblem. We establish its global convergence with a new technique by confirming that the limit of the sequence of numerical solutions of the global-in-time algorithm is the numerical solution of the fully coupled algorithm. Numerical experiments validate the theoretical predictions and underline the efficiency gained by implementing the parallel procedure within the proposed global-in-time algorithm.

Gu , HuipengCai , Mingchao and Li , Jingzhi. (2025). Convergence Analysis of a Global-in-Time Iterative Decoupled Algorithm for Biot’s Model. Advances in Applied Mathematics and Mechanics. 17 (3). 778-803. doi:10.4208/aamm.OA-2024-0074
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