Abstract
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.
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References
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)
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)
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)
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)
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)
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)
Martinie, L., Roussel, N.: Simple tools for fiber orientation prediction in industrial practice. Cement and Concrete Research 41, 993–1000 (2011)
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)
Ibáñez, L., Will, S., Lydia, N., Josh, C.: The ITK Software Guide. Kitware (2005), http://www.itk.org/ItkSoftwareGuide.pdf
Gren, J.: Statystyka Matematyczna: Modele i Zadania. PWN Publishing (1982)
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© 2012 Springer-Verlag Berlin Heidelberg
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Rudzki, M., Bugdol, M., Ponikiewski, T. (2012). An Image Processing Approach to Determination of Steel Fibers Orientation in Reinforced Concrete. In: Piętka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Lecture Notes in Computer Science(), vol 7339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31196-3_15
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DOI: https://doi.org/10.1007/978-3-642-31196-3_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31195-6
Online ISBN: 978-3-642-31196-3
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