| Title |
Percolation Analysis On Porous Concrete Using Microstructural CT Image Processing and Probability Distribution Functions |
| Authors |
정상엽(Chung, Sang-Yeop) ; 한동석(Han, Tong-Seok) |
| DOI |
https://doi.org/10.12652/Ksce.2012.32.1A.031 |
| Keywords |
투수 콘크리트;미세구조;CT 이미지 분석;공극;확률 분포 함수;투수성 porous concrete;microstructure;CT image processing;void;probability distribution functions;percolation |
| Abstract |
The phase distribution in concrete materials strongly affects its material properties. It is important to identify the spatial distribution of void in concrete because the void in concrete materials affects mechanical behavior and permeability significantly. Therefore, a proper method to describe the void distribution of a material is needed. In this research, CT(computed tomography) is used to examine and to quantify the void distribution of porous concrete specimens. 3D concrete digital specimens are created by subsequent stacking of 2D cross-sectional images from CT. Then, probability distribution functions such as two-point correlation, lineal-path and two-point cluster functions are used for void distribution characterization. It is confirmed that probability distribution functions obtained from CT images are effective in characterizing void distributions including the anisotropy and percolation. |