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Optimum configuration for accurate simulations of chaotic porous media with Lattice Boltzmann Methods considering boundary conditions, lattice spacing and domain size

机译:考虑晶格边界条件,晶格间距和畴尺寸的,采用莱迪思玻尔兹曼方法精确模拟混沌多孔介质的最佳配置

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Simulations of the flow field through chaotic porous media are powerful numerical challenges of special interest in science and technology. The simulations are usually done over representative samples which summarise the properties of the material. Several factors affect the accuracy of the results. Firstly the spatial resolution has to be fine enough to be able to capture the smallest geometrical details. Secondly the domain size has to be large enough to contain the large characteristic scale of the porous media. And finally the effects induced by the boundary conditions have to be diluted when more realistic options are not available. This is the case when the geometry is obtained by tomography and the periodic boundary conditions cannot be applied to delimit the sample because its geometry is not periodic. Impermeable boundary conditions are usually chosen to enclose the domain, forcing mass conservation. As a result, the flow field is over-restricted and the total pressure drop can be over-estimated. In this paper a new strategy is presented to optimise the computational resources consumption keeping the restrictions imposed by the accuracy criteria. The effects of the domain size, discretisation thickness and boundary condition disturbances are studied in detail. The study starts with the procedural generation of chaotic porous walls which mimics acicular mullite filters. An advantage of this process is the possibility to create periodic geometries. Periodicity permits the application of advanced techniques such as cyclic cross-correlations between the phase field and the velocity component fields without aliasing. From cross-correlation operations the large characteristic scale is obtained. The result is a lower threshold for the domain size. In second place a mesh independent study is done to find the upper threshold for the lattice spacing. The Minkowski-Bouligand fractal dimension of the fluid-solid interface corroborates the results. It has been demonstrated how the fractal dimension is a good candidate to replace the mesh independent study with lower computational cost for this type of problems. The last step is to compare the results obtained for a periodic geometry applying periodicity and symmetry as boundary conditions. Considering the periodic case as reference the resultant error is analysed. The explanation of the analysis includes how the intensity of the error changes in space and the limitations of symmetric boundary conditions. (C) 2017 Elsevier Ltd. All rights reserved.
机译:通过混沌多孔介质的流场模拟是科学技术领域特别关注的强大数值挑战。通常在代表性样品上进行模拟,这些样品总结了材料的特性。有几个因素会影响结果的准确性。首先,空间分辨率必须足够精细以能够捕获最小的几何细节。其次,畴尺寸必须足够大以容纳多孔介质的大特征尺寸。最后,当没有更现实的选择时,边界条件引起的影响必须被稀释。当通过断层扫描获得几何形状并且周期性边界条件不能应用于定界样本时,情况就是这样,因为其几何形状不是周期性的。通常选择不可渗透的边界条件来封闭区域,以强制进行质量守恒。结果,流场被过度限制并且总压降可能被过度估计。在本文中,提出了一种新的策略来优化计算资源消耗,同时保持准确性标准所施加的限制。详细研究了域大小,离散化厚度和边界条件扰动的影响。该研究从模仿多孔针状莫来石过滤器的多孔多孔壁的程序生成开始。该过程的优点是可以创建周期性的几何形状。周期性允许应用高级技术,例如相位场和速度分量场之间的循环互相关而不会出现混叠。通过互相关运算,可以获得较大的特征量。结果是域大小的阈值较低。其次,进行独立于网格的研究以找到晶格间距的上限。固液界面的Minkowski-Bouligand分形维数证实了这一结果。已经证明了分形维数是用这类问题以较低的计算成本代替网格独立研究的良好选择。最后一步是比较将周期性和对称性作为边界条件的周期性几何结构的结果。考虑到周期性情况作为参考,分析了由此产生的误差。分析的解释包括误差强度在空间中如何变化以及对称边界条件的局限性。 (C)2017 Elsevier Ltd.保留所有权利。

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