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Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media

In this paper, we consider the time fractional thermoporoelasticity problem in fractured and heterogeneous media. The mathematical model with a time memory formalism is described by a coupled system of equations for pressure, temperature and displacements. We use an implicit finite difference approx...

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Главные авторы: Alikhanov, A. A., Алиханов, А. А., Tyrylgin, A. A., Тырылгин, А. А.
Формат: Статья
Язык:English
Опубликовано: Elsevier B.V. 2025
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Online-ссылка:https://dspace.ncfu.ru/handle/123456789/29633
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spelling ir-123456789-296332025-02-06T11:59:35Z Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media Alikhanov, A. A. Алиханов, А. А. Tyrylgin, A. A. Тырылгин, А. А. Discrete fracture model Multiscale method Multicontinuum media Heterogeneous media GMsFEM Fractured media Fractional thermoporoelasticity problem In this paper, we consider the time fractional thermoporoelasticity problem in fractured and heterogeneous media. The mathematical model with a time memory formalism is described by a coupled system of equations for pressure, temperature and displacements. We use an implicit finite difference approximation for temporal discretization. We present a fine grid approximation based on the finite element method and Discrete Fracture Model (DFM) for two-dimensional model problems. Further, we use the Generalized Multiscale Finite Element Method (GMsFEM) for coarse grid approximation. The primary concept behind the proposed method is to streamline the complexity inherent in the thermoporoelasticity problem. Given that our model equation incorporates multiple fractional powers, leading to multiple unknowns with memory effects, we aim to address this intricacy by optimizing the problem's dimensionality. As a result, the solution is sought on a coarse grid, a strategic choice that not only simplifies the computational cost but also contributes to significant time savings. We present numerical results for the two-dimensional model problems in heterogeneous fractured porous media. We derive relative errors between the reference fine grid solution and the multiscale solution for different numbers of multiscale basis functions. The results confirm that the proposed method is able to achieve good accuracy with a few degrees of freedoms on the coarse grid. 2025-02-06T11:57:30Z 2025-02-06T11:57:30Z 2025 Статья Alikhanov, A., Bai, H., Huang, J., Tyrylgin, A., Yang, Y. Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media // Journal of Computational and Applied Mathematics. - 2025. - 455. - статья № 116157. - DOI: 10.1016/j.cam.2024.116157 https://dspace.ncfu.ru/handle/123456789/29633 en Journal of Computational and Applied Mathematics application/pdf application/pdf Elsevier B.V.
institution СКФУ
collection Репозиторий
language English
topic Discrete fracture model
Multiscale method
Multicontinuum media
Heterogeneous media
GMsFEM
Fractured media
Fractional thermoporoelasticity problem
spellingShingle Discrete fracture model
Multiscale method
Multicontinuum media
Heterogeneous media
GMsFEM
Fractured media
Fractional thermoporoelasticity problem
Alikhanov, A. A.
Алиханов, А. А.
Tyrylgin, A. A.
Тырылгин, А. А.
Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
description In this paper, we consider the time fractional thermoporoelasticity problem in fractured and heterogeneous media. The mathematical model with a time memory formalism is described by a coupled system of equations for pressure, temperature and displacements. We use an implicit finite difference approximation for temporal discretization. We present a fine grid approximation based on the finite element method and Discrete Fracture Model (DFM) for two-dimensional model problems. Further, we use the Generalized Multiscale Finite Element Method (GMsFEM) for coarse grid approximation. The primary concept behind the proposed method is to streamline the complexity inherent in the thermoporoelasticity problem. Given that our model equation incorporates multiple fractional powers, leading to multiple unknowns with memory effects, we aim to address this intricacy by optimizing the problem's dimensionality. As a result, the solution is sought on a coarse grid, a strategic choice that not only simplifies the computational cost but also contributes to significant time savings. We present numerical results for the two-dimensional model problems in heterogeneous fractured porous media. We derive relative errors between the reference fine grid solution and the multiscale solution for different numbers of multiscale basis functions. The results confirm that the proposed method is able to achieve good accuracy with a few degrees of freedoms on the coarse grid.
format Статья
author Alikhanov, A. A.
Алиханов, А. А.
Tyrylgin, A. A.
Тырылгин, А. А.
author_facet Alikhanov, A. A.
Алиханов, А. А.
Tyrylgin, A. A.
Тырылгин, А. А.
author_sort Alikhanov, A. A.
title Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
title_short Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
title_full Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
title_fullStr Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
title_full_unstemmed Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
title_sort multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
publisher Elsevier B.V.
publishDate 2025
url https://dspace.ncfu.ru/handle/123456789/29633
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AT tyrylginaa multiscalemodelreductionforthetimefractionalthermoporoelasticityprobleminfracturedandheterogeneousmedia
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