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Taking into account general boundary conditions in upscaling absolute permeability

机译:在扩大绝对渗透率时考虑一般边界条件

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摘要

Upscaling methods that need to solve local problems subject to boundary conditions are addressed in this article. We define a new upscaling method based on optimization problems, which can take into account general boundary conditions applied to local problems. The determination of upscaled permeability leads to minimizing the difference of dissipated energies (or averaged velocity) at fine and large scale. Using optimal control techniques, we obtain an effective computing algorithm that allows us to recover, with classical boundary conditions, the well-known results. The uniqueness issue is tackled for the optimization problems introduced in our approach. We show that the method is stable with respect to G-convergence, a property that establishes a link with homogenization theory, and finally, 2D numerical experiments are presented.
机译:本文讨论了需要解决边界条件下的局部问题的升级方法。我们基于优化问题定义了一种新的放大方法,该方法可以考虑应用于局部问题的一般边界条件。高比例渗透率的确定导致在精细和大规模条件下将耗散能量(或平均速度)之差最小化。使用最佳控制技术,我们获得了一种有效的计算算法,该算法可使我们在经典边界条件下恢复众所周知的结果。解决我们方法中引入的优化问题的唯一性问题。我们证明了该方法相对于G收敛是稳定的,这是与均化理论建立联系的性质,最后,提出了二维数值实验。

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