Evaluation of the anisotropy of the void distribution and the stiffness of lightweight aggregates using CT imaging

Sang Yeop Chung, Tong Seok Han, Tae Sup Yun, Kwang Soo Youm

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

The void distribution in concrete materials strongly affects its material properties. Therefore, identification of the spatial void distribution is important to understand and estimate material behavior. To quantify the void distribution inside lightweight aggregates, a computed tomography (CT) image can be effective, as it is non-destructive. Here, three-dimensional void images of lightweight aggregates are generated by stacking cross-sectional CT images. The spatial distribution of voids in the aggregate along a direction is visualized on a sphere using a probability distribution function. To describe the void distribution of aggregates, a two-point correlation function is used. The stiffness of the lightweight aggregate for a direction is also examined. We find that the direction-based probability distribution and stiffness from the CT images are effective for characterizing the void distributions of aggregates. In addition, the anisotropy ratio of voids and the stiffness are closely related along with the void volume fraction.

Original languageEnglish
Pages (from-to)998-1008
Number of pages11
JournalConstruction and Building Materials
Volume48
DOIs
Publication statusPublished - 2013 Sep 2

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Tomography
Anisotropy
Stiffness
Imaging techniques
Probability distributions
Spatial distribution
Distribution functions
Volume fraction
Materials properties
Concretes
Direction compound

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)

Cite this

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abstract = "The void distribution in concrete materials strongly affects its material properties. Therefore, identification of the spatial void distribution is important to understand and estimate material behavior. To quantify the void distribution inside lightweight aggregates, a computed tomography (CT) image can be effective, as it is non-destructive. Here, three-dimensional void images of lightweight aggregates are generated by stacking cross-sectional CT images. The spatial distribution of voids in the aggregate along a direction is visualized on a sphere using a probability distribution function. To describe the void distribution of aggregates, a two-point correlation function is used. The stiffness of the lightweight aggregate for a direction is also examined. We find that the direction-based probability distribution and stiffness from the CT images are effective for characterizing the void distributions of aggregates. In addition, the anisotropy ratio of voids and the stiffness are closely related along with the void volume fraction.",
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Evaluation of the anisotropy of the void distribution and the stiffness of lightweight aggregates using CT imaging. / Chung, Sang Yeop; Han, Tong Seok; Yun, Tae Sup; Youm, Kwang Soo.

In: Construction and Building Materials, Vol. 48, 02.09.2013, p. 998-1008.

Research output: Contribution to journalArticle

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