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首页> 外文期刊>International journal of multiscale computational engineering >UPSCALING OF PERMEABILITY OF POROUS MATERIALS: FIRST INSIGHT INTO THE EFFECT OF PORE-SPACE CHARACTERISTICS
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UPSCALING OF PERMEABILITY OF POROUS MATERIALS: FIRST INSIGHT INTO THE EFFECT OF PORE-SPACE CHARACTERISTICS

机译：多孔材料渗透性的提升：孔隙空间特性影响的初探

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摘要

The material phase "air" (pore space) in porous materials determines the amount of fluid flow into and through the material and, hence, the time scale of physical/chemical degradation processes in durability aspects of materials and structures. Hereby, the pore-space characteristics, such as pore-size distribution and pore arrangement, both being accessible via respective experimental techniques, influence the transport properties of the material. In this paper, this influence is investigated within the multiscale framework, employing a so-called random pore-network model. Hereby, random arrangements of prescribed pore-size distributions are modeled, giving - under the assumption of steady-state flow conditions - access to the macroscopic permeability of the material. More specifically, three idealized pore-size distributions, i.e., (ⅰ) two different radii and (ⅱ) constant and (ⅲ) normal pore-size distribution, are investigated by means of several sets of network configurations. From the obtained results, both mean value and standard deviation of the macroscopic permeability corresponding to a certain pore-size distribution are determined, giving new insight into the impact of pore-space characteristics on the permeability and its variation in porous materials.
机译：多孔材料中的材料相“空气”（孔空间）决定了流入和流过材料的流体量，因此决定了材料和结构在耐久性方面的物理/化学降解过程的时间尺度。因此，都可以通过各自的实验技术获得的孔空间特征，例如孔径分布和孔排列，都会影响材料的传输性能。在本文中，使用所谓的随机孔网络模型在多尺度框架内研究了这种影响。因此，对规定的孔径分布的随机排列进行了建模，从而在稳态流动条件下获得了材料的宏观渗透性。更具体地说，借助于几套网络结构，研究了三种理想的孔径分布，即（ⅰ）两个不同的半径和（ⅱ）常数和（ⅲ）正常孔径分布。从获得的结果中，确定了对应于特定孔径分布的宏观渗透率的平均值和标准偏差，从而使人们对孔隙空间特征对渗透率及其在多孔材料中的变化的影响有了新的认识。

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