In porous media, the transport and flow through the void phase are influenced by the internal pore network due to its complex morphology. In other words, the contributions of individual pores can vary due to their connectivity within the network and characteristics in physical phenomena. In this study, we propose a pore classification method according to geometries and physical behaviors to understand the role of each pore in microstructure. Our method classifies entire pores into backbone, dead‐end, and isolated pore using connectivity analysis and steady‐state diffusion. The backbone acts as the main pathway for the transportation process. Therefore, backbone fraction can be utilized as a quantitative indicator of the pore network in microstructure. Furthermore, this approach enables us to explore the relationship between classified pores and microstructural properties through numerical experiment using virtual structures. This method can be used for various porous materials, such as battery electrodes, membranes, and soil.

中文翻译：

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复杂多孔介质中稳态扩散的孔隙分类方法


在多孔介质中，由于其复杂的形态，通过空隙相的传输和流动会受到内部孔隙网络的影响。换句话说，由于单个孔隙在网络中的连通性和物理现象的特性，其贡献可能会有所不同。在这项研究中，我们提出了一种根据几何形状和物理行为的孔分类方法，以了解每个孔在微观结构中的作用。我们的方法使用连通分析和稳态扩散将整个孔分为主干孔、死端孔和孤立孔。主干是运输过程的主要路径。因此，主链分数可以用作微观结构中孔隙网络的定量指标。此外，这种方法使我们能够通过使用虚拟结构的数值实验来探索分类孔隙与微观结构特性之间的关系。这种方法可用于各种多孔材料，例如电池电极、膜和土壤。