达西流的高效通量变量近似方案

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED
Rajan B. Adhikari, Imbumn Kim, Young Ju Lee, Dongwoo Sheen
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引用次数: 0

摘要

我们提出了一种近似达西流模型流量变量的高效数值方法。我们的新方法的一个重要特点是,无需对压力进行近似,即可获得流量变量的近似解。为了实现这一点,我们引入了一个用户定义的参数 delta,该参数通常选得很小,以尽量减少因没有压力而产生的负面影响,如流量近似和质量守恒的不准确性。与混合有限元法或最小二乘法相比,所得到的代数系统的自由度要小得多。我们还将所提出的方法解释为在特殊环境中应用于混合有限元求解的增强拉格朗日乌泽的单步迭代。最后,我们讨论了通量变量的压力恢复问题,并获得了该方法的最优阶误差估计。提供了几个例子来验证所提出的理论和算法,其中一些来自更现实的模型,如 SPE10。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient flux‐variable approximation scheme for Darcy's flow
We present an efficient numerical method to approximate the flux variable for the Darcy flow model. An important feature of our new method is that the approximate solution for the flux variable is obtained without approximating the pressure at all. To accomplish this, we introduce a user‐defined parameter delta, which is typically chosen to be small so that it minimizes the negative effect resulting from the absence of the pressure, such as inaccuracy in both the flux approximation and the mass conservation. The resulting algebraic system is of significantly smaller degrees of freedom, compared to the one from the mixed finite element methods or least‐squares methods. We also interpret the proposed method as a single step iterate of the augmented Lagrangian Uzawa applied to solve the mixed finite element in a special setting. Lastly, the pressure recovery from the flux variable is discussed and an optimal‐order error estimate for the method is obtained. Several examples are provided to verify the proposed theory and algorithm, some of which are from more realistic models such as SPE10.
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来源期刊
CiteScore
7.20
自引率
2.60%
发文量
81
审稿时长
9 months
期刊介绍: An international journal that aims to cover research into the development and analysis of new methods for the numerical solution of partial differential equations, it is intended that it be readily readable by and directed to a broad spectrum of researchers into numerical methods for partial differential equations throughout science and engineering. The numerical methods and techniques themselves are emphasized rather than the specific applications. The Journal seeks to be interdisciplinary, while retaining the common thread of applied numerical analysis.
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