An Image Processing Approach to Determination of Steel Fibers Orientation in Reinforced Concrete

  • Marcin Rudzki
  • Monika Bugdol
  • Tomasz Ponikiewski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7339)


The paper presents a preliminary study aimed to automatically determine the position and orientation of steel fibers in fiber-reinforced concrete. This is required for assessment of the relation between the methods of forming and resulting concentration, position and orientation of steel fibers. Concrete beams with various types of fibers and method of forming were scanned using Computed Tomography and the resulting volumetric images were subjected to image segmentation. From the obtained label map the position and orientation in 3D of each steel fiber were calculated. This enabled generating 4D histograms visualizing in compact form the overall orientation of the fibers. Statistical analysis showed that the orientation of the fibers exhibit exponential distribution.


Computed Tomography image processing steel fiber reinforced concrete 


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  1. 1.
    Ferrara, L., Meda, A.: Relationships between fibre distribution, workability and the mechanical properties of SFRC applied to precast roof elements. Materials and Structures 39, 411–420 (2006)CrossRefGoogle Scholar
  2. 2.
    Kang, S.T., Lee, B.Y., Kim, J.-K., Kim, Y.Y.: The effect of fibre distribution characteristics on the flexural strength of steel fibre-reinforced ultra high strength concrete. Construction and Building Materials 25, 2450–2457 (2011)CrossRefGoogle Scholar
  3. 3.
    Kang, S.T., Kim, J.-K.: Investigation on the flexural behavior of UHPCC considering the effect of fiber orientation distribution. Construction and Building Materials 28, 57–65 (2011)CrossRefGoogle Scholar
  4. 4.
    Boulekbache, B., Hamrat, M., Chemrouk, M., Amziane, S.: Flowability of fibre-reinforced concrete and its effect on the mechanical properties of the material. Construction and Building Materials 24, 1664–1671 (2010)CrossRefGoogle Scholar
  5. 5.
    Kang, S.T., Kim, J.-K.: The relation between fiber orientation and tensile behavior in an Ultra High Performance Fiber Reinforced Cementitious Composites (UHPFRCC). Cement and Concrete Research 41, 1001–1014 (2011)CrossRefGoogle Scholar
  6. 6.
    Ozyurt, N., Mason, T.O., Shah, S.P.: Non-destructive monitoring of fiber orientation using AC-IS: An industrial-scale application. Cement and Concrete Research 36, 1653–1660 (2006)CrossRefGoogle Scholar
  7. 7.
    Martinie, L., Roussel, N.: Simple tools for fiber orientation prediction in industrial practice. Cement and Concrete Research 41, 993–1000 (2011)CrossRefGoogle Scholar
  8. 8.
    Promentilla, M.A.B., Sugiyama, T., Shimura, K.: Three Dimensional Characterization of Air Void System in Cement Based Materials. In: 3rd ACF International Conference ACF/VCA 2008, pp. 940–947 (2008)Google Scholar
  9. 9.
    Ibáñez, L., Will, S., Lydia, N., Josh, C.: The ITK Software Guide. Kitware (2005),
  10. 10.
    Gren, J.: Statystyka Matematyczna: Modele i Zadania. PWN Publishing (1982)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marcin Rudzki
    • 1
  • Monika Bugdol
    • 1
  • Tomasz Ponikiewski
    • 2
  1. 1.Faculty of Biomedical Engineering Department of Medical Informatics and DevicesSilesian University of TechnologyGliwicePoland
  2. 2.Faculty of Civil Engineering, Department of Building Materials and Processes EngineeringSilesian University of TechnologyPoland

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