断裂和异质介质中时间分数热弹性问题的多尺度模型缩减

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
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引用次数: 0

摘要

在本文中,我们考虑了断裂和异质介质中的时间分数热弹性问题。具有时间记忆形式的数学模型由压力、温度和位移的耦合方程组描述。我们使用隐式有限差分近似进行时间离散化。对于二维模型问题,我们提出了一种基于有限元法和离散断裂模型(DFM)的细网格近似方法。此外,我们还使用广义多尺度有限元法(GMsFEM)进行粗网格近似。所提方法的主要理念是简化热弹性问题的内在复杂性。鉴于我们的模型方程包含多个分数幂,导致多个具有记忆效应的未知数,因此我们旨在通过优化问题的维度来解决这一复杂性。因此,我们在粗网格上求解,这一策略性选择不仅简化了计算成本,还大大节省了时间。我们介绍了异质断裂多孔介质中二维模型问题的数值结果。我们得出了不同数量多尺度基函数的参考细网格解与多尺度解之间的相对误差。结果证实,所提出的方法能够在粗网格上以几个自由度实现良好的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.

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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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