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A posteriori error estimates for a compositional two-phase flow with nonlinear complementarity constraints

机译:具有非线性互补约束的组成两相流的后验误差估计

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In this work, we develop an a posteriori-steered algorithm for a compositional two-phase flow with exchange of components between the phases in porous media. As a model problem, we choose the two-phase liquid-gas flow with appearance and disappearance of the gas phase formulated as a system of nonlinear evolutive partial differential equations with nonlinear complementarity constraints. The discretization of our model is based on the backward Euler scheme in time and the finite volume scheme in space. The resulting nonlinear system is solved via an inexact semismooth Newton method. The key ingredients for the a posteriori analysis are the discretization, linearization, and algebraic flux reconstructions allowing to devise estimators for each error component. These enable to formulate criteria for stopping the iterative algebraic solver and the iterative linearization solver whenever the corresponding error components do not affect significantly the overall error. Numerical experiments are performed using the Newton-min algorithm as well as the Newton-Fischer-Burmeister algorithm in combination with the GMRES iterative linear solver to show the efficiency of the proposed adaptive method.
机译:在这项工作中,我们开发了一种用于组合物两相流的后验算法,其与多孔介质中相之间的组分交换。作为模型问题,我们选择了与非线性互补约束的非线性演化局部微分方程的气相外观和消失的两相液 - 气流。我们的模型的离散化是基于后向欧拉方案及时的有限卷方案。由此产生的非线性系统通过不精确的半导体牛顿方法解决。后验分析的关键成分是允许为每个误差分量设计估计器的离散化,线性化和代数磁通重建。这些使得可以制定用于停止迭代代数求解器的标准,并且每当相应的误差组件不会显着影响整体误差时都不会影响迭代代数求解器和迭代线性化求解器。使用Newton-Min算法以及Newton-Fischer-Burmeister算法进行数值实验,与GMRES迭代线性求解器组合以显示所提出的自适应方法的效率。

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