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Название: Multiscale model reduction for the time fractional thermoporoelasticity problem in fractured and heterogeneous media
Авторы: Alikhanov, A. A.
Алиханов, А. А.
Tyrylgin, A. A.
Тырылгин, А. А.
Ключевые слова: Discrete fracture model;Multiscale method;Multicontinuum media;Heterogeneous media;GMsFEM;Fractured media;Fractional thermoporoelasticity problem
Дата публикации: 2025
Издатель: Elsevier B.V.
Библиографическое описание: 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
Источник: Journal of Computational and Applied Mathematics
Краткий осмотр (реферат): 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.
URI (Унифицированный идентификатор ресурса): https://dspace.ncfu.ru/handle/123456789/29633
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