Adaptive modelling of variably saturated seepage problems

IF 0.8
B Ashby;C Bortolozo;A Lukyanov;T Pryer
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引用次数: 1

Abstract

In this article, we present a goal-oriented adaptive finite element method for a class of subsurface flow problems in porous media, which exhibit seepage faces. We focus on a representative case of the steady state flows governed by a nonlinear Darcy–Buckingham law with physical constraints on subsurface-atmosphere boundaries. This leads to the formulation of the problem as a variational inequality. The solutions to this problem are investigated using an adaptive finite element method based on a dual-weighted a posteriori error estimate, derived with the aim of reducing error in a specific target quantity. The quantity of interest is chosen as volumetric water flux across the seepage face, and therefore depends on an a priori unknown free boundary. We apply our method to challenging numerical examples as well as specific case studies, from which this research originates, illustrating the major difficulties that arise in practical situations. We summarise extensive numerical results that clearly demonstrate the designed method produces rapid error reduction measured against the number of degrees of freedom.
变饱和渗流问题的自适应建模
在本文中,我们提出了一种面向目标的自适应有限元方法,用于求解一类具有渗流面的多孔介质地下流动问题。我们重点研究了一个典型的由非线性达西-白金汉定律控制的稳态流,该定律具有地下大气边界的物理约束。这导致将问题表述为变分不等式。采用一种基于双加权后验误差估计的自适应有限元方法来研究该问题的解,其目的是减少特定目标量的误差。感兴趣的量被选择为穿过渗流面的体积水通量,因此取决于一个先验的未知自由边界。我们将我们的方法应用于具有挑战性的数值例子以及具体的案例研究,从这项研究的起源,说明了在实际情况下出现的主要困难。我们总结了大量的数值结果,这些结果清楚地表明所设计的方法可以根据自由度的数量产生快速的误差减小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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