Computers and Concrete

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Quantification of void shape in cemented materials

  • Onal, Okan (Department of Civil Engineering, Kaynaklar Yerleskesi) ;
  • Ozden, Gurkan (Department of Civil Engineering, Kaynaklar Yerleskesi) ;
  • Felekoglu, Burak (Department of Civil Engineering, Kaynaklar Yerleskesi)
  • Received : 2009.04.02
  • Accepted : 2010.04.29
  • Published : 2010.12.25
⟨ Previous Next ⟩

Abstract

A color based segmentation procedure and a modified signature technique have been applied to the detection and analyses of complicated void shapes in cemented materials. The gray-scale segmentation and available signature methods were found to be inefficient especially for the analyses of complicated void shapes. The applicability of the developed methodology has been demonstrated on artificially prepared cemented materials made of self compacted concrete material. In order to characterize the void shapes in the investigated sample images, two new shape parameters called as coefficients of inclusion and exclusion have been proposed. When compared with the traditional use of the signature method, it was found that the methodology followed herein would better characterize complicated void shapes. The methodology followed in this study may be applied to the analysis of complicated void shapes that are often encountered in other cementitious materials such as clays and rocks.

Keywords

References

  1. Bhatia, S.K. and Soliman, A.F. (1990), "Frequency distribution of void ratio of granular materials determined by an image analyzer", Soils Found., 30(1), 1-16. https://doi.org/10.3208/sandf1972.30.1
  2. Crabtree, S.J., Ehrlich, Jr. R. and Prince, C. (1984), "Evaluation of strategies for segmentations of reservoir rocks", Comput. Vis. Graphics Image Proc., 28(1), 1-18. https://doi.org/10.1016/0734-189X(84)90136-1
  3. Frost, J.D. and Kuo, C.Y. (1996), "Automated determination of the distribution of local void ratio from digital images", Geotech. Test. J., 19(2) 107-117. https://doi.org/10.1520/GTJ10334J
  4. Hilliard, J.E. (1968), Measurement of volume in volume, quantitative microscopy, R.T. DeHoff and F.N. Rhines, eds, McGraw-Hill, New York.
  5. Lange, D.A., Jennings, H.M. and Shah S.P. (1994), "Image analysis techniques for characterization of pore structure of cement-based materials", Cement Concrete Res., 24(5), 841-853. https://doi.org/10.1016/0008-8846(94)90004-3
  6. Masad, E., Muhunthan, B., Shashisdbar, N. and Harman, T. (1999), "Internal structure characterization of asphalt concrete using image analysis", J. Comput. Civil Eng., 13(2), 88-95. https://doi.org/10.1061/(ASCE)0887-3801(1999)13:2(88)
  7. Masad, E., Olcott, D., White, T. and Tashman, L. (2001), "Correlation of fine aggregate imaging shape indices with asphalt mixture performance", Transport. Res. Record., 1757, 148-156. https://doi.org/10.3141/1757-17
  8. Mathworks (2005), MATLAB technical computing language version 7 and image analysis toolbox version 4.2, Natick, MA.
  9. Nambiar, E.K.K. and Ramamurthy, K. (2007), "Air-void characterization of foam concrete", Cement Concrete Res., 37, 221-230. https://doi.org/10.1016/j.cemconres.2006.10.009
  10. Obaidat, M.T., AI-Masaeid, H.R., Gharaybeh, F. and Khedaywi, T.S. (1998), "An innovative digital image analysis approach to quantify the percentage of voids in mineral aggregates of bituminous mixtures", Can. J. Civil Eng., 25(6), 1041-1049. https://doi.org/10.1139/l98-034
  11. Oda, M. (1972), "Initial fabrics and their relations to mechanical properties of granular materials", Soils Found., 12(1), 17-36. https://doi.org/10.3208/sandf1960.12.17
  12. Okamura, H. and Ouchi, M. (1999), "Self-compacting concrete, development, present use and future", Proceedings of the First International RILEM Symposium on Self-Compacting Concrete, Ed.: Rilem Publications s.a.r.l., Stockholm, 3-14.
  13. Otsu, N. (1979), "A threshold selection method from gray-level histograms", IEEE T. Syst. Man Cy., 9(1), 62-66. https://doi.org/10.1109/TSMC.1979.4310076
  14. Ozturk, A.U. and Baradan, B. (2008), "A comparison study of porosity and compressive strength mathematical models with image analysis", Comput. Mater. Sci., 43(4), 974-979. https://doi.org/10.1016/j.commatsci.2008.02.011
  15. Robertson, A.R. (1997), "The CIE 1976 color difference formulae", Color Res. Appl., 2, 7-11.
  16. Soroushian, P., Elzafraney, M. and Nossoni, A. (2003), "Specimen preparation and image processing and analysis techniques for automated quantification of concrete micro cracks and voids", Cement Concrete Res., 33(12), 1949-1962. https://doi.org/10.1016/S0008-8846(03)00219-9
  17. Zhang Z., Ansari, F. and Vitillo, N. (2005), "Automated determination of entrained air-void parameters in hardened concrete", ACI Mater. J., 102(1), 42-48.