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The influence of fibre spatial characteristics on the flexural performance of SFRC

  • T. BosmanEmail author
  • E. P. Kearsley
Original Article
  • 50 Downloads

Abstract

Research has shown that the post-peak tensile strength behaviour of Steel Fibre-Reinforced Concrete (SFRC) elements is significantly affected by the distribution of fibres in the section. The pursuit towards the effective and optimal application of SFRC in practice necessitates a thorough understanding of the influence of fibre spatial distribution on composite performance. In this research, the influence of fibre length and volume content on the spatial distribution of fibres was investigated using a photometric image analysis technique. A unique approach was developed that utilises Voronoi diagrams as the geometric descriptor quantifying fibre spatial distribution. The resulting parameters characterised the sectional dispersion of fibres as well as the degree of clustering and were related to the flexural performance of notched beams tested under three-point loading. The findings of the study highlight the role of fibre length and volume content on the spatial distribution of fibres and it is revealed that the sectional uniformity, inter-batch spatial variability, and degree of clustering are dependent on the number of fibres in the cross section. Furthermore, the results demonstrated the considerable influence of fibre distribution on the flexural performance of SFRC. It was concluded that the variability in flexural strength reduced as the variation in fibre spatial distribution reduced and that extensive clustering had an adverse effect on the effective resistance provided by fibres.

Keywords

Fibre-reinforced concrete Image analysis Voronoi diagram Fibre distribution Clustering 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

11527_2019_1351_MOESM1_ESM.pdf (1.5 mb)
Supplementary material 1 (PDF 1547 kb)

References

  1. 1.
    Laranjeira F, Grünewald S, Walraven J, Blom C, Molins C, Aguado A (2011) Characterization of the orientation profile of steel fiber reinforced concrete. Mater Struct 44(6):1093–1111CrossRefGoogle Scholar
  2. 2.
    Parmentier B, Vandewalle L, Van Rickstal F (2008) Evaluation of the scatter of the postpeak behaviour of fibre reinforced concrete in bending: a step towards reliability. In: Gettu R (ed) BEFIB 2008: 7th RILEM international symposium on fibre reinforced concrete, 2008. RILEM Publications SARL, pp 133–143Google Scholar
  3. 3.
    Di Prisco M, Plizzari G, Vandewalle L (2009) Fibre reinforced concrete: new design perspectives. Mater Struct 42(9):1261–1281CrossRefGoogle Scholar
  4. 4.
    Ferrara L, Ozyurt N, Di Prisco M (2011) High mechanical performance of fibre reinforced cementitious composites: the role of “casting-flow induced” fibre orientation. Mater Struct 44(1):109–128CrossRefGoogle Scholar
  5. 5.
    Zhou B, Uchida Y (2017) Relationship between fiber orientation/distribution and post-cracking behaviour in ultra-high-performance fiber-reinforced concrete (UHPFRC). Cem Concr Compos 83:66–75CrossRefGoogle Scholar
  6. 6.
    Segura-Castillo L, Cavalaro SHP, Goodier C, Aguado A, Austin S (2018) Fibre distribution and tensile response anisotropy in sprayed fibre reinforced concrete. Mater Struct 51(1):29CrossRefGoogle Scholar
  7. 7.
    Yoo D-Y, Kang S-T, Yoon Y-S (2014) Effect of fiber length and placement method on flexural behavior, tension-softening curve, and fiber distribution characteristics of UHPFRC. Constr Build Mater 64:67–81CrossRefGoogle Scholar
  8. 8.
    RILEM TC 162-TDF (2002) Recommendations of RILEM TC 162-TDF: test and design methods for steel fibre reinforced concrete: bending test. Mater Struct 35(9):579–582CrossRefGoogle Scholar
  9. 9.
    Barr B, Lee M, de Place Hansen EJ, Dupont D, Erdem E, Schaerlaekens S, Schnütgen B, Stang H, Vandewalle L (2003) Round-robin analysis of the RILEM TC 162-TDF beam-bending test: part 1—test method evaluation. Mater Struct 36(9):609–620CrossRefGoogle Scholar
  10. 10.
    Barr B, Lee M, de Place Hansen EJ, Dupont D, Erdem E, Schaerlaekens S, Schnütgen B, Stang H, Vandewalle L (2003) Round-robin analysis of the RILEM TC 162-TDF beam-bending test: part 3—fibre distribution. Mater Struct 36(9):631–635CrossRefGoogle Scholar
  11. 11.
    Li VC (1992) A simplified micromechanical model of compressive strength of fiber-reinforced cementitious composites. Cem Concr Compos 14(2):131–141MathSciNetCrossRefGoogle Scholar
  12. 12.
    Naaman AE, Shah SP (1976) Pull-out mechanism in steel fiber-reinforced concrete. ASCE J Struct Div 102(8):1537–1548Google Scholar
  13. 13.
    Rusch T, Hornik K, Mair P (2018) Assessing and quantifying clusteredness: the OPTICS Cordillera. J Comput Graph Stat 27(1):220–233MathSciNetCrossRefGoogle Scholar
  14. 14.
    Akkaya Y, Peled A, Shah S (2000) Parameters related to fiber length and processing in cementitious composites. Mater Struct 33(8):515–524CrossRefGoogle Scholar
  15. 15.
    Akkaya Y, Shah SP, Ankenman B (2001) Effect of fiber dispersion on multiple cracking of cement composites. J Eng Mech 127(4):311–316CrossRefGoogle Scholar
  16. 16.
    Ozyurt N, Woo LY, Mason TO, Shah SP (2006) Monitoring fiber dispersion in fiber-reinforced cementitious materials: comparison of AC-impedance spectroscopy and image analysis. ACI Mater J 103(5):340Google Scholar
  17. 17.
    Žirgulis G, Švec O, Sarmiento EV, Geiker MR, Cwirzen A, Kanstad T (2016) Importance of quantification of steel fibre orientation for residual flexural tensile strength in FRC. Mater Struct 49(9):3861–3877CrossRefGoogle Scholar
  18. 18.
    Lee BY, Kang S-T, Yun H-B, Kim YY (2016) Improved sectional image analysis technique for evaluating fiber orientations in fiber-reinforced cement-based materials. Mater 9(1):42CrossRefGoogle Scholar
  19. 19.
    Andries J, Van Itterbeeck P, Vandewalle L, Van Geysel A (2015) Influence of concrete flow on spatial distribution and orientation of fibres in steel fibre reinforced self-compacting concrete. In: fib symposium, Copenhagen, DenmarkGoogle Scholar
  20. 20.
    Bernasconi A, Cosmi F, Hine P (2012) Analysis of fibre orientation distribution in short fibre reinforced polymers: a comparison between optical and tomographic methods. Compos Sci Technol 72(16):2002–2008CrossRefGoogle Scholar
  21. 21.
    Liu J, Li C, Liu J, Cui G, Yang Z (2013) Study on 3D spatial distribution of steel fibers in fiber reinforced cementitious composites through micro-CT technique. Constr Build Mater 48:656–661CrossRefGoogle Scholar
  22. 22.
    Ponikiewski T, Katzer J (2016) X-ray computed tomography of fibre reinforced self-compacting concrete as a tool of assessing its flexural behaviour. Mater Struct 49(6):2131–2140CrossRefGoogle Scholar
  23. 23.
    Ozyurt N, Mason TO, Shah SP (2007) Correlation of fiber dispersion, rheology and mechanical performance of FRCs. Cem Concr Compos 29(2):70–79CrossRefGoogle Scholar
  24. 24.
    Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66CrossRefGoogle Scholar
  25. 25.
    Vincent L, Soille P (1991) Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans Pattern Anal Mach Intell 6:583–598CrossRefGoogle Scholar
  26. 26.
    De Berg M (2008) Computational geometry: algorithms and applications, 3rd edn. Springer, BerlinCrossRefGoogle Scholar
  27. 27.
    Jasiūnienė E, Cicėnas V, Grigaliūnas P, Rudžionis Ž, Navickas AA (2018) Influence of the rheological properties on the steel fibre distribution and orientation in self-compacting concrete. Mater Struct 51(4):103CrossRefGoogle Scholar
  28. 28.
    Blanco A, Cavalaro S, De la Fuente A, Grünewald S, Blom C, Walraven J (2015) Application of FRC constitutive models to modelling of slabs. Mater Struct 48(9):2943–2959CrossRefGoogle Scholar
  29. 29.
    Yoo D-Y, Zi G, Kang S-T, Yoon Y-S (2015) Biaxial flexural behavior of ultra-high-performance fiber-reinforced concrete with different fiber lengths and placement methods. Cem Concr Compos 63:51–66CrossRefGoogle Scholar
  30. 30.
    Nakagami M (1960) The m-distribution—a general formula of intensity distribution of rapid fading. In: Hoffman WG (ed) Statistical methods in radio wave propagation. Permagon Press, Oxford, pp 3–36CrossRefGoogle Scholar
  31. 31.
    Barros JA, Cunha VM, Ribeiro AF, Antunes J (2005) Post-cracking behaviour of steel fibre reinforced concrete. Mater Struct 38(1):47–56CrossRefGoogle Scholar
  32. 32.
    Nayar SK, Gettu R, Krishnan S (2014) Characterisation of the toughness of fibre reinforced concrete–revisited in the Indian context. Indian Concr J 88(2):8–23Google Scholar
  33. 33.
    Alberti M, Enfedaque A, Gálvez J (2017) On the prediction of the orientation factor and fibre distribution of steel and macro-synthetic fibres for fibre-reinforced concrete. Cem Concr Compos 77:29–48CrossRefGoogle Scholar
  34. 34.
    Dupont D, Vandewalle L (2005) Distribution of steel fibres in rectangular sections. Cem Concr Compos 27(3):391–398CrossRefGoogle Scholar
  35. 35.
    Kooiman AG (2000) Modelling steel fibre reinforced concrete for structural design. PhD, Delft University of Technology, Delft, NetherlandsGoogle Scholar

Copyright information

© RILEM 2019

Authors and Affiliations

  1. 1.University of PretoriaPretoriaSouth Africa

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