Computers and Concrete

  • 제7권3호
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  • Pages.239-247
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  • 2010
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A quantitative measurement of concrete air content using image analyses

  • Hwang, C.L. (Department of Construction Engineering, National Taiwan University of Science and Technology) ;
  • Peng, S.S. (Department of Civil Engineering, National Taiwan University of Science and Technology, Minghsin University of Science and Technology) ;
  • Wang, E. (Department of Civil Engineering, National Taiwan University of Science and Technology, Minghsin University of Science and Technology) ;
  • Lin, S.H. (Department of Civil Engineering, National Taiwan University of Science and Technology, Minghsin University of Science and Technology) ;
  • Huang, S.L. (Department of Mechanical Engineering, Technology and Science Institute of Northern Taiwan)
  • 투고 : 2009.06.25
  • 심사 : 2010.03.10
  • 발행 : 2010.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

A proposed topology method is introduced to measure the air content of fresh cement paste and hardened concrete. The method takes advantage of chromatographic analysis in void areas that are highlighted using different color schemes and later calculated using built-in computer software. The air content measured by the topology method is compared with results obtained from the conventional ASTM methods. It is concluded that the proposed method is reliable, and costs less and is easier to operate compared with the ASTM methods. In addition, 3 dimensional pore models can be created using image post-processing techniques. The proposed method helps researchers in understanding the formation and existence of concrete pores. This paper reports a detailed test program demonstrating the standard operating procedure used for the proposed method and presents a comparison of results between the proposed method and conventional ASTM Specifications. It is also concluded that the air content increases with increasing size of pores and increasing percentage of coarse aggregates.

키워드

참고문헌

  1. Aligizaki, K.K. and Cady, P.D. (1999), "Air content and size distribution of air voids in hardened cement pastes using the section-analysis method", Cement Concrete Res., 29(2), 273-280. https://doi.org/10.1016/S0008-8846(98)00185-9
  2. Chan, Y.N., Luo, X. and Sun, W. (2000), "Compressive strength and pore structure of high-performance concrete after exposure to high temperature up to 800", Cement Concrete Res., 30(2), 247-251. https://doi.org/10.1016/S0008-8846(99)00240-9
  3. Chermant, J.L. (2001), "Why automatic image analysis? An introduction in this issue", Cement Concrete Compos., 23(2-3), 127-131. https://doi.org/10.1016/S0958-9465(00)00077-9
  4. Diamond, S. (2000), "Mercury porosimetry-an inappropriate method for the measurement of pore size distributions in cement-based materials", Cement Concrete Res., 30(10), 1517-1525. https://doi.org/10.1016/S0008-8846(00)00370-7
  5. Gallie, C. (2001), "Effect of drying on cement-based materials pore structure as identified by mercury intrusion porosimetry: a comparative study between oven-, vacuum-, and freezw-drying", Cement Concrete Res., 31(10), 1467-1477. https://doi.org/10.1016/S0008-8846(01)00594-4
  6. Jana, D. (2007), "A round robin test on measurements of air void parameter in hardened concrete by various automated image analyses and ASTM C457 methods", Proceeding of the twenty-ninth conference on cement microscopy, Quebec city, PQ, 34-69, Canada.
  7. Kurumisawa, K. and Tanaka, K. (2006), "Three-dimensional visualization of pore structure in hardened cement paste by the gallium intrusion technique", Cement Concrete Res., 36(2), 330-336. https://doi.org/10.1016/j.cemconres.2005.04.015
  8. Navi, P. and Pignat, C. (1999), "Three-dimensional characterization of the pore structure of a simulated cement paste", Cement Concrete Res., 29(4), 507-514. https://doi.org/10.1016/S0008-8846(98)00199-9
  9. Rattanasak, U. and Kendall, K. (2005), "Pore structure of cement/pozzolan composites by X-ray microtomography", Cement Concrete Res., 35(4), 637-640. https://doi.org/10.1016/j.cemconres.2004.04.022
  10. Sahu, S., Badger, S., Thaulow, N. and Lee, R.J. (2004), "Determination of water-cement ratio of hardened concrete by scanning electron microscopy", Cement Concrete Compos., 26(8), 987-992. https://doi.org/10.1016/j.cemconcomp.2004.02.032
  11. Soroushian, P. and Elzafraney, M. (2005), "Morphological operations, planar mathematical formulations and stereological interpretations for automated Image analysis of concrete microstructure", Cement Concrete Res., 27(7-8), 823-833. https://doi.org/10.1016/j.cemconcomp.2004.07.008
  12. Werner, A.M., Lange, D.A. and P.E. (1999), "Quantitative image analysis determination of masonry mortar microstructure", J. Comput. Civil Eng., 13(2), 110-115. https://doi.org/10.1061/(ASCE)0887-3801(1999)13:2(110)
  13. Wong, H.S., Head, M.K. and Buenfeld, N.R. (2006), "Pore segmentation of cement-based materials from backscattered electron images", Cement Concrete Res., 36(6), 1083-1090. https://doi.org/10.1016/j.cemconres.2005.10.006
  14. Yang, R. and Buenfeld, N.R. (2001), "Binary segmentation of aggregate in SEM image analysis of concrete", Cement Concrete Res., 31(3), 437-441. https://doi.org/10.1016/S0008-8846(00)00493-2

피인용 문헌

  1. Quality assessment of high performance concrete using digitized image elements vol.10, pp.4, 2012, https://doi.org/10.12989/cac.2012.10.4.409