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Advances in Materials Science and Engineering
Volume 2015 (2015), Article ID 516169, 10 pages
http://dx.doi.org/10.1155/2015/516169
Research Article

Spatial Distribution of Voids in Insulating Concrete Analyzed by Micro-CT Images and Probability Functions

1Department of Civil and Environmental Engineering, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul 120-749, Republic of Korea
2Department of Civil Engineering, Technical University of Berlin, Gustav-Meyer-Allee 25, 13355 Berlin, Germany

Received 2 February 2015; Revised 2 April 2015; Accepted 13 April 2015

Academic Editor: Peter Majewski

Copyright © 2015 Sang-Yeop Chung et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.