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Image Data Processing to Obtain Fibre Orientation in Fibre-Reinforced Elements Using Computed Tomography Scan

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Short Fibre Reinforced Cementitious Composites and Ceramics

Part of the book series: Advanced Structured Materials ((STRUCTMAT,volume 95))

Abstract

Computed tomography (CT) technique is of increasing interest in research related to concrete technology. This technology provides the possibility of visualize the internal structure of concrete, including pores, cracks, aggregates and fibres. In this paper, the CT scan is used to determine the position and orientation of the fibres in case of steel fibre reinforced high strength concrete elements (SFRHSC). This paper shows a home-made numerical procedure, automated through a MATLAB routine, which enables, fast and reliable, get the orientation of each and every one of the fibres and their center of gravity. The procedure shown can be used with any type of fibre reinforced material, with the only restriction that a wide difference between density of fibres and density of matrix is needed. The algorithm is simple and robust. The result is a fast algorithm and a routine easy to use. In addition, the validation tests show that the error is almost zero.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Jesús Mínguez, Miguel A. Vicente & Dorys C. González

Authors
  1. Jesús Mínguez
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  2. Miguel A. Vicente
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  3. Dorys C. González
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Correspondence to Jesús Mínguez .

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Editors and Affiliations

  1. School of Science, Department of Cybernetics, Tallinn University of Technology, Tallinn, Estonia

    Heiko Herrmann

  2. Fachbereich Bauingenieurwesen, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Jürgen Schnell

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Mínguez, J., Vicente, M.A., González, D.C. (2019). Image Data Processing to Obtain Fibre Orientation in Fibre-Reinforced Elements Using Computed Tomography Scan. In: Herrmann, H., Schnell, J. (eds) Short Fibre Reinforced Cementitious Composites and Ceramics. Advanced Structured Materials, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-00868-0_8

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