Browse > Article
http://dx.doi.org/10.7734/COSEIK.2012.25.3.227

Analysis on Anisotropy of Void Distribution and Stiffness of Lightweight Aggregate using CT Images  

Chung, Sang-Yeop (연세대학교 토목환경공학과)
Han, Tong-Seok (연세대학교 토목환경공학과)
Yun, Tae Sup (연세대학교 토목환경공학과)
Youm, Kwang Soo (GS건설(주) 기술연구소)
Jeon, Hyun-Gyu (GS건설(주) 기술연구소)
Kang, Dong Hun (연세대학교 토목환경공학과)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.25, no.3, 2012 , pp. 227-235 More about this Journal
Abstract
The void distribution in concrete materials strongly affects its material properties. Therefore, the identification of spatial distribution of void is important to understand and estimate material behavior. To examine and quantify the void distribution inside lightweight aggregates, CT(computed tomography) image is used. 3D lightweight aggregate images are generated by stacking of cross-sectional images from CT. Spatial distribution of void of aggregate along the direction is visualized on the sphere using probability distribution function. Stiffness of lightweight aggregate for the directions is also examined. It is confirmed that direction-based probability distribution and stiffness from CT images are effective in characterizing void distributions of aggregates.
Keywords
lightweight aggregate; void; CT image processing; probability distribution function; stiffness; microstructure;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Corson, P.B. (1974) Correlation Functions for Predicting Properties of Heterogeneous Materials. I. Experimental Measurement of Spatial Correlation Functions in Multiphase Solids, Journal of Applied Physics, 45, pp.3159-3164.   DOI
2 Dorey, R.A., Yeomans, J.A., Smith, P.A. (2002) Effect of pore Clustering on the Mechanical Properties of Ceramics, Journal of the European Ceramic Society, 22, pp.403-409.   DOI
3 Gokhale, A.M., Tewari, A., Garmestani, H. (2005) Constraint on Microstructural Two-Point Correlation Functions, Scripta Materialia, 53, pp.989-993.   DOI
4 Han, T.-S., Dawson, P.R. (2005) Representation of Anisotropic Phase Morphology, Modelling and Simulation in Materials Science and Engineering, 13, pp.203-223.   DOI
5 Singh. H., Gokhale, A.M., Lieberman, S.I., Tamirisakandala, S. (2008) Image Based Computations of Lineal Path Probability Distributions for Microstructure Representation, Materials Science and Engineering A, 474, pp.104-111.   DOI
6 Tewari, A., Gokhale, A.M., Spowart, J.E., Miracle, D.B. (2004) Quantitative Characterization of Spatial Clustering in Three-Dimensional Microstructures using Two-Point Correlation Functions, Acta Materialia, 52, pp.307-319.   DOI
7 Torquato, S. (2002) Random heterogeneous materials, Springer, New York, p.701.
8 Underwood, E. (1970) Quantitative stereology, Addison-Wesley, Massachusetts, p.274.
9 정상엽, 김영진, 윤태섭, 전현규 (2011) Micro CT 이미지 분석을 통한 경량 골재 콘크리트의 공극 분포 분석, 대한토목학회논문집, 31(2A), pp.121-127.
10 정상엽, 한동석 (2011) 2상 다결정 미세구조의 상 분포 위상에 따른 역학적 거동 분석, 한국전산구조공학회 논문집, 24(1), pp.9-16.
11 정상엽, 한동석 (2011) 투수 콘크리트의 투수성과 확률 분포 함수의 상관관계 분석, 한국방재학회 논문집, 11(6), pp.91-98.
12 Chung. S.-Y., Han, T.-S. (2010) Reconstruction of Random Two-Phase Polycrystalline Solids using Low-Order Probability Functions and Evaluation of Mechanical Behavior, Computational Materials Science, 49, pp.705-719.   DOI
13 Coker, D.A., Torquato, S. (1995) Extraction of Morphological Quantities from a Digitized Medium, Journal of Applied Physics, 77, pp.6087-6099.   DOI