Browse > Article
http://dx.doi.org/10.12652/Ksce.2011.31.2A.121

Evaluation of Void Distribution on Lightweight Aggregate Concrete Using Micro CT Image Processing  

Chung, Sang-Yeop (연세대학교 토목환경공학과)
Kim, Young-Jin (연세대학교 토목환경공학과)
Yun, Tae Sup (연세대학교 토목환경공학과)
Jeon, Hyun-Gyu (GS건설(주) 기술연구소)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.2A, 2011 , pp. 121-127 More about this Journal
Abstract
Spatial distribution of void space in concrete materials strongly affects mechanical and physical behaviors. Therefore, the identification of characteristic void distribution helps understand material properties and is essential to estimate the integrity of material performance. The 3D micro CT (X-ray microtomography) is implemented to examine and to quantify the void distribution of a lightweight aggregate concrete using an image analysis technique and probabilistic approach in this study. The binarization and subsequent stacking of 2D cross-sectional images virtually create 3D images of targeting void space. Then, probability distribution functions such as two-point correlation and lineal-path functions are applied for void characterization. The lightweight aggregates embedded within the concrete are individually analyzed to construct the intra-void space. Results shows that the low-order probability functions and the density distribution based on the 3D micro CT images are applicable and useful methodology to characterize spatial distribution of void space and constituents in concrete.
Keywords
lightweight concrete; voids; lightweight aggregate; micro CT; image processing; probability distribution functions;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 김용직, 최연왕, 문한영(2005) 경량굵은골재 밀도에 따른 자기충전콘크리트의 배합설계, 대한토목학회논문집, 대한토목학회, 제25권, 제2A호, pp. 455-462.
2 한국콘크리트학회(2005) 최신 콘크리트공학, 기문당, 한국콘크리트학회.
3 Chung. S.-Y. and Han, T.-S. (2010) Reconstruction of random twophase polycrystalline solids using low-order probability functions and evaluation of mechanical behavior, Comput. Mater. Sci., Elsevier, Vol. 49, pp. 705-719.   DOI   ScienceOn
4 Coker, D.A. and Torquato, S. (1995) Extraction of morphological quantities from a digitized medium, J. Appl. Phys., American Institute of Physics, Vol. 77, pp. 6087-6099.   DOI   ScienceOn
5 Corson, P.B. (1974) Correlation functions for predicting properties of heterogeneous materials. I. experimental measurement of spatial correlation functions in multiphase solids, J. Appl. Phys., American Institute of Physics, Vol. 45, pp. 3159-3164.   DOI   ScienceOn
6 Dorey, R.A., Yeomans, J.A., and Smith, P.A. (2002) Effect of pore clustering on the mechanical properties of ceramics, J. Eur. Ceram. Soc., Elsevier, Vol. 22, pp. 403-409.   DOI   ScienceOn
7 Gokhale, A.M., Tewari, A., and Garmestani, H. (2005) Constraint on microstructural two-point correlation functions, Scr. Mater., Elsevier, Vol. 53, pp. 989-993.   DOI   ScienceOn
8 Han, T.-S. and Dawson, P.R. (2005) Representation of anisotropic phase morphology, Modelling Simul. Mater. Sci. Eng., IOP Publishing, Vol. 13, pp. 203-223.   DOI   ScienceOn
9 Lin, S., Garmestani, H., and Adams, B. (2000) The evolution of probability functions in an inelasticly deforming two-phase medium, Int. J. Solids Struct., Elsevier, Vol. 37, pp. 423-434.   DOI   ScienceOn
10 Lu, B. and Torquato, S. (1992) Lineal-path function for random heterogeneous materials, Phys. Rev. A, American Physical Society, Vol. 45, pp. 922-929.   DOI   ScienceOn
11 Singh. H., Gokhale, A.M., Lieberman, S.I., and Tamirisakandala, S. (2008) Image based computations of lineal path probability distributions for microstructure representation, Mater. Sci. Eng. A, Elsevier, Vol. 474, pp. 104-111.   DOI
12 Tewari, A., Gokhale, A.M., Spowart, J.E., and Miracle, D.B. (2004) Quantitative characterization of spatial clustering in threedimensional microstructures using two-point correlation functions, Acta Mater., Elsevier, Vol. 52, pp. 307-319.   DOI   ScienceOn
13 Torquato, S. (2002) Random heterogeneous materials, Springer, New York.
14 Underwood, E. (1970) Quantitative stereology, Addison-Wesley, Massachusetts.