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Hybrid multi-scale model for partially saturated media based on a pore network approach and lattice Boltzmann method

机译:基于孔网络方法的部分饱和介质混合多尺度模型和晶格Boltzmann方法

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摘要

A model combining the efficiency of the pore-network (PN) models and the accuracy of the lattice Boltzmann Method (LBM) is proposed. We introduce a multi-scale approach based on a decomposition of the granular as sembly into small subsets. A tetrahedrization is considered to describe the pore space and extract the subsets. Hydrostatic properties such as entry capillary pressure, liquid morphology and capillary pressure - degree of saturation relationship are evaluated for each pore throat (subset) of the granular system. This information is incorporated into the pore-network model to reproduce the macro-scale effects during a primary drainage. The hybrid method is able to reproduce accurately the capillary pressure - volume relationship and the motion of the interface during the drainage process. The results obtained with the hybrid method evidence the capability of the method to investigate complex phenomena. Additionally, the combination of PN and LBM leads to a significant gain in terms of computation resources. Finally, the results obtained with a fully resolved LBM and the hybrid model help us validate the accuracy of pore-scale methods based on approximations (MS-P and Incircle methods).
机译:提出了一种组合孔网(PN)模型效率和晶格Boltzmann方法(LBM)的准确性的模型。我们基于粒度的分解为小型子集来介绍一种多尺度方法。四种化被认为是描述孔隙空间并提取子集。为粒状系统的每个孔喉(子集)评估静水压性能,例如进入毛细管压力,液体形态和毛细管压力 - 饱和关系。该信息被纳入孔网模型,以在初级排水期间再现宏观尺度效应。混合方法能够精确地再现毛细管压力 - 在排水过程中界面的运动。用杂交方法证明该方法研究复杂现象的能力。另外,PN和LBM的组合导致计算资源的显着增益。最后,用完全解决的LBM和混合模型获得的结果有助于我们验证基于近似(MS-P和空线方法)的孔径方法的准确性。

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