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Analytical effective coefficient and a first-order approximation for linear flow through block permeability inclusions

机译:穿过区块渗透率夹杂物的线性流的解析有效系数和一阶近似

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We present a closed form solution for the upscaled diffusion coefficient and derive a first-order homogenized approximation to linear flow equations with periodic and rapidly oscillating coefficients. The coefficients are defined as step functions describing inclusions of various shapes in a main matrix. This constitutes the n-dimensional upscaled version of Darcy's law for linear flow in such systems. We consider the two-scale asymptotic expansion of the solution of the flow equation, and develop a corrector to an analytical approximation for the solution of the periodic cell-problem. We demonstrate that the proposed analytical form for the effective coefficient satisfies the generalized Voigt-Reiss' inequality and is in agreement with other known theoretical results, including the geometric average for the checkerboard geometry, and with some published numerical results. The zeroth-order approximation in H~1(Ω) is readily obtained and the first-order approximation in L~2(Ω) is derived from the proposed analytical approximation to the basis functions. The analytical basis functions are also used to define a correction function that incorporates the heterogeneous features into the zeroth-order approximation to the gradient and flux, which considerably improves the convergence results. We illustrate the procedure with coefficients describing square inclusions with contrast ratios between the inclusion and the matrix as 10:1, 100:1, 1000:1 and 1:10, respectively. We demonstrate numerically that the convergence properties of the proposed approximations agree with the classical theoretical results in homogenization theory.
机译:我们提出了一种扩展形式的扩散系数的封闭形式解,并得出了具有周期性和快速振荡系数的线性流动方程的一阶均匀化近似。系数定义为阶跃函数,描述了主矩阵中各种形状的包含物。这构成了此类系统中线性流的达西定律的n维放大版本。我们考虑了流动方程解的两尺度渐近展开,并为周期单元问题的解的解析近似开发了一个校正器。我们证明,所提出的有效系数的解析形式满足广义的Voigt-Reiss不等式,并且与其他已知的理论结果(包括棋盘格几何的几何平均值)和一些公开的数值结果相符。可以容易地获得H〜1(Ω)的零阶近似,而L〜2(Ω)的一阶近似则可以从对基函数的解析近似中导出。解析基函数还用于定义校正函数,该函数将非均质特征合并到梯度和通量的零阶近似中,从而大大改善了收敛结果。我们用描述正方形夹杂物的系数来说明该过程,夹杂物与矩阵之间的对比度比率分别为10:1、100:1、1000:1和1:10。我们用数值方法证明了所提出的近似值的收敛性质与均质化理论中的经典理论结果一致。

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