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首页> 外文期刊>Transport in Porous Media >Stochastic Flow Simulation and Particle Transport in a 2D Layer of Random Porous Medium
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Stochastic Flow Simulation and Particle Transport in a 2D Layer of Random Porous Medium

机译:随机多孔介质二维层中的随机流动模拟和颗粒传输

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摘要

A stochastic numerical method is developed for simulation of flows and particle transport in a 2D layer of porous medium. The hydraulic conductivity is assumed to be a random field of a given statistical structure, the flow is modeled in the layer with prescribed boundary conditions. Numerical experiments are carried out by solving the Darcy equation for each sample of the hydraulic conductivity by a direct solver for sparse matrices, and tracking Lagrangian trajectories in the simulated flow. We present and analyze different Eulerian and Lagrangian statistical characteristics of the flow such as transverse and longitudinal velocity correlation functions, longitudinal dispersion coefficient, and the mean displacement of Lagrangian trajectories. We discuss the effect of long-range correlations of the longitudinal velocities which we have found in our numerical simulations. The related anomalous diffusion is also analyzed.
机译:开发了一种随机数值方法来模拟多孔介质二维层中的流动和颗粒传输。假定水力传导率是给定统计结构的随机字段,则在具有规定边界条件的层中对流进行建模。通过使用稀疏矩阵的直接求解器求解每个水力传导率样本的Darcy方程并跟踪模拟流中的拉格朗日轨迹来进行数值实验。我们提出并分析了不同的欧拉和拉格朗日流量统计特性,例如横向和纵向速度相关函数,纵向弥散系数和拉格朗日轨迹的平均位移。我们讨论了在数值模拟中发现的纵向速度的长期相关性的影响。还分析了相关的异常扩散。

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