Implicit-Explicit schemes for decoupling multicontinuum problems in porous media

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

Abstract

In this work, we present an efficient way to decouple the multicontinuum problems. To construct decoupled schemes, we propose Implicit-Explicit time approximation in general form and study them for the fine-scale and coarse-scale space approximations. We use a finite-volume method for fine-scale approximation, and the nonlocal multicontinuum (NLMC) method is used to construct a coarse-scale approximation. The NLMC method is a multiscale method for developing an accurate and physically meaningful coarse-scale model based on defining the macroscale variables. The multiscale basis functions are constructed in local domains by solving constraint energy minimization problems and projecting the system to the coarse grid. The resulting basis functions have exponential decay properties and lead to the accurate approximation on a coarse grid. We construct a fully Implicit time approximation for semi-discrete systems arising after fine-scale and coarse-scale space approximations. We investigate the stability of the two and three-level schemes for fully Implicit and Implicit-Explicit time approximations schemes for multicontinuum problems in fractured porous media. We show that combining the decoupling technique with multiscale approximation leads to developing an accurate and efficient solver for multicontinuum problems.

多孔介质中解耦多真空问题的隐含-显式方案
在这项工作中,我们提出了一种解耦多真空问题的有效方法。为了构建解耦方案,我们提出了一般形式的隐式-显式时间逼近法,并对它们进行了细尺度和粗尺度空间逼近的研究。我们使用有限体积法进行细尺度逼近,并使用非局部多真空(NLMC)法构建粗尺度逼近。NLMC 方法是一种多尺度方法,用于在定义宏观变量的基础上建立精确且具有物理意义的粗尺度模型。多尺度基函数是通过求解约束能量最小化问题并将系统投影到粗网格而在局部域构建的。由此得到的基函数具有指数衰减特性,可在粗网格上实现精确近似。我们为经过细尺度和粗尺度空间逼近后产生的半离散系统构建了完全隐式时间逼近。我们研究了断裂多孔介质中多连续问题的完全隐式和隐式-显式时间近似方案的两级和三级方案的稳定性。我们表明,将解耦技术与多尺度近似相结合,可以为多连续问题开发出精确高效的求解器。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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