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Structural Characterization of Porous and Granular Materials

机译:多孔颗粒材料的结构表征

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The morphological details of permeable porous materials impact significantly their macro-scale properties and in particular transport properties (e.g. permeability). A programme to derive macroscopic behaviour and responses from pore-scale information is a holy grail in the field. We report here progress on, and tests of, a recently proposed such a programme. The main steps of the programme are as follows. The solid phase of a porous material is first skeletonised into a framework of nodes and edges. Then the local structure is quantified by means of structure tensors, which describe the shape of novel volume elements called quadrons. Next, the local tensor description is used in an entropy-based statistical formalism to compute macroscopic structural characteristics as expectation values over a certain partition function. From the structural characteristics, physical properties can be evaluated. The 'thickened' structure is taken account of with an additional partition function, giving more accurate evaluation of structural and physical properties. Here we present tests for the initial stages of the programme. The tests are carried out on numerically generated two-dimensional granular aggregates. Specifically, we describe results on the statistics of the quadrons and the structural tensors.
机译:可渗透多孔材料的形态细节显着影响其宏观结构和特定的运输性质(例如渗透率)。源于宏观行为和孔隙级信息的响应的程序是该领域的圣杯。我们在此报告最近提出的此类计划的进展和测试。该计划的主要步骤如下。首先将多孔材料的固相堵塞到节点和边缘的框架中。然后通过结构张量量化局部结构,这描述了名为Quadrons的新颖体积元素的形状。接下来,本地张量描述用于基于熵的统计形式主义,以将宏观结构特征计算为在某个分区功能上的期望值。从结构特征,可以评估物理性质。 “加厚”结构是考虑到另外的分区功能,从而更准确地评估结构和物理性质。在这里,我们对该程序的初始阶段呈现测试。测试在数值产生的二维粒状聚集体上进行。具体而言,我们描述了Quadrons统计和结构张量的结果。

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