Abstract
Insulating concrete is a multiphase material designed for reduced thermal conductivity, and the void distribution in concrete strongly affects its physical properties such as mechanical response and heat conduction. Therefore, it is essential to develop a method for identifying the spatial distribution of voids. To examine the voids of insulating concrete specimens, micro-CT (computed tomography) images can be effectively used. The micro-CT images are binarized to visualize the void distribution and stacked to generate 3D specimen images. From the obtained images, the spatial distribution of the voids and the microscopic constituents inside the insulating concrete specimens can be identified. The void distribution in the material can be characterized using low-order probability functions such as two-point correlation, lineal-path, and two-point cluster functions. It is confirmed that micro-CT images and low-order probability functions are effective in describing the relative degree of void clustering and void connectivity in insulating concrete.
| Original language | English |
|---|---|
| Article number | 516169 |
| Journal | Advances in Materials Science and Engineering |
| Volume | 2015 |
| DOIs | |
| Publication status | Published - 2015 |
Bibliographical note
Publisher Copyright:© 2015 Sang-Yeop Chung et al.
All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Engineering(all)