Planar Image-Based Reconstruction of Pervious Concrete Pore Structure and Permeability Prediction
Planar Image-Based Reconstruction of Pervious Concrete Pore Structure and Permeability Prediction
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DOI：
10.14359/51663868
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发表时间：
2010-07
影响因子：
1.7
通讯作者：
Milani S. Sumanasooriya;D. Bentz;N. Neithalath
中科院分区：
文献类型：
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作者：
Milani S. Sumanasooriya;D. Bentz;N. Neithalath
本文对透水混凝土的渗透性进行了探讨。透水混凝土等多孔材料的输运性质本质上取决于各种孔隙结构特征。经验方程通常用于将多孔材料的孔结构与其渗透性相关联。在这项研究中，采用计算程序来预测12种不同的透水混凝土混合物的渗透性从三维（3D）材料结构重建从开始的原始材料的平面图像。利用真实的透水混凝土试件的二维图像的两点相关（TPC）函数，沿着测量的体积孔隙率进行重建。母材的孔隙结构特征与重建图像具有相似性。渗透率预测使用达西定律适用于重建的结构和实验测得的渗透性透水混凝土的渗透性被发现是在合理的良好协议。3D重建过程提供了一种相对便宜的方法（而不是X射线断层扫描等方法）来探索透水混凝土中孔隙空间的性质并预测渗透性，从而有助于了解混合物比例变化导致的孔隙结构变化。
The permeability of pervious concrete is discussed in this paper. Transport properties of porous materials such as pervious concretes are inherently dependent on a variety of pore structure features. Empirical equations are typically used to relate the pore structure of a porous material to its permeability. In this study, a computational procedure is employed to predict the permeability of 12 different pervious concrete mixtures from three-dimensional (3D) material structures reconstructed from starting planar images of the original material. Two-point correlation (TPC) functions of the two-dimensional (2D) images from real pervious concrete specimens are employed along with the measured volumetric porosities in the reconstruction process. The pore structure features of the parent material and the reconstructed images are found to be similar. The permeabilities predicted using Darcy’s law applied to the reconstructed structures and the experimentally measured permeabilities of pervious concretes are found to be in reasonably good agreement. The 3D reconstruction process provides a relatively inexpensive method (instead of methods such as X-ray tomography) to explore the nature of the pore space in pervious concretes and predict permeability, thus facilitating its use in understanding the changes in pore structure as a result of changes in mixture proportions.