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Nonlocal finite element solutions for steady state unsaturated flow in bounded randomly heterogeneous porous media using the Kirchhoff Transformation

机译:有界随机异质多孔介质中稳态不饱和流动的非局部有限元解

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摘要

We consider steady state unsaturated flow in bounded randomly heterogeneous soils under influence of random forcing terms. Our purpose is to predict pressure heads and fluxes and evaluate uncertainties associated with these predictions, without resorting to Monte Carlo simulation, upscaling or linearization of the constitutive relationship between unsaturated hydraulic conductivity and pressure head. Following Tartakovsky et al. [1999], by assuming that the Gardner model is valid and treating the corresponding exponent a as a random constant, the steady-state unsaturated flow equations can be linearized by means of the Kirchhoff transformation. This allows us develop exact integro-differential equations for the conditional first and second moments of transformed pressure head and flux. The conditional first moments are unbiased predictions of the transformed pressure head and flux, and the conditional second moments provide the variance and covariance associated with these predictions. The moment equations are exact, but they cannot be solved without closure approximations. We developed their recursive closure approximations through expansion in powers of σᵧ and σᵦ, the standard deviations of Y = lnK(s), and β = ln α, respectively, where K(s), is saturated hydraulic conductivity. Finally, we solve these recursive conditional moment equations to second-order in σᵧ and σᵦ, as well as second-order in standard deviations of forcing terms by finite element methods. Computational examples for unsaturated flow in a vertical plane, subject to deterministic forcing terms including a point source, show an excellent agreement between our nonlocal solutions and the Monte Carlo solution of the original stochastic equations using finite elements on the same grid, even for strongly heterogeneous soils.
机译:我们考虑在随机强迫项的影响下有界随机异质土中的稳态非饱和流。我们的目的是预测压头和通量,并评估与这些预测相关的不确定性,而无需借助蒙特卡罗模拟,不饱和水力传导率与压头之间本构关系的放大或线性化。继塔尔塔科夫斯基等。 [1999],通过假设Gardner模型是有效的,并将相应的指数a视为随机常数,可以通过Kirchhoff变换将稳态非饱和流动方程线性化。这使我们能够为转换后的压头和通量的条件第一和第二矩开发精确的积分微分方程。条件第一时刻是转换后的压头和流量的无偏预测,而条件第二时刻提供与这些预测相关的方差和协方差。弯矩方程是精确的,但是如果没有闭合近似就无法求解。我们通过扩展σᵧ和σᵦ的幂,Y = lnK(s)和β= lnα的标准偏差来扩展它们的递归闭合近似值,其中K(s)是饱和水力传导率。最后,我们通过有限元方法将这些递归条件矩方程求解为σᵧ和σᵦ中的二阶以及强迫项的标准偏差中的二阶。垂直平面上非饱和流的计算示例受确定性强迫项(包括点源)的影响,显示出我们的非局部解与使用同一网格上有限元的原始随机方程的蒙特卡洛解之间的出色一致性,即使对于强异质性土壤。

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    Lu Zhiming.;

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  • 年度 2000
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  • 原文格式 PDF
  • 正文语种 en
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