Open AccessPore-network distribution laws of cementitious materials detected by high-energy X-ray computed tomography imaging system
Author(s) -
Qifeng Lyu,
Yihang Guo,
Anguo Chen,
Jie Jia
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2011/1/012012
Subject(s) - cementitious , cement , materials science , work (physics) , degree distribution , porosity , tomography , porous medium , power law , computer science , law , composite material , complex network , mechanical engineering , physics , engineering , mathematics , optics , statistics , world wide web , political science
Pore networks of cementitious materials determine the materials’ properties and engineering safety. In this work, four kinds of cementitious materials which are geopolymer cement, foamed cement, ordinary concrete and pervious concrete were prepared, and a high-energy X-ray computed tomography imaging system was used to detect the samples’ inner structures. It was found that the pore network of such materials show similarity to social networks. However, the traditional mathematical degree which is the coordination number of a network is insufficient to characterize the pore networks, because such networks have volume limitations. Thus a new parameter, physical degree, was proposed in this work. By analyses of the pore networks of the samples, it was found the mathematical degrees follow Poisson distribution law whereas the physical degree can be fitted by power law. This indicates the pore networks are random and scale free. These findings may provide insight for future intelligent design of digital cementitious materials.