Open Access
Issue
MATEC Web Conf.
Volume 199, 2018
International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR 2018)
Article Number 02016
Number of page(s) 6
Section Concrete Deteriorating Mechanisms and Prediction of Durability
DOI https://doi.org/10.1051/matecconf/201819902016
Published online 31 October 2018
  1. Van Tittelboom, K., Gruyaert, E. et al., ‘Influence of mix composition on the extent of autogenous crack healing by continued hydration or calcium carbonate formation’, Construction and Building Materials 37 (2012) 349–359. [Google Scholar]
  2. Yang, Y., Lepech, M. et al., ‘Autogenous healing of engineered cementitious composites under wet-dry cycles’, Cement and Concrete Research 39 (2009) 382–390. [CrossRef] [Google Scholar]
  3. Ferrara, L., Krelani, V., Moretti, F., Roig-Flores, M., Serna-Ros, P.,’ Effects of autogenous healing on the recovery of mechanical performance of High Performance Fibre Reinforced Cementitious Composites (HPFRCCs): Part 1’, Cement and Concrete Composites 83 (2017) 76–100. [CrossRef] [Google Scholar]
  4. Cuenca E. and Ferrara, L., ‘Self-healing capacity of fiber reinforced cementitious composites. State of the art and perspectives’, KSCE Journal of Civil Engineering 21 (7) (2017) 1–13. [CrossRef] [Google Scholar]
  5. Ferrara, L., Krelani, V. and Moretti, F., ‘On the use of crystalline admixtures as promoters of self-healing in cement based construction materials’, Smart Materials and Structures, 25 (8) (2016) 1–17. [CrossRef] [Google Scholar]
  6. Roig-Flores, M., Moscato, S et al., ‘Self-healing capability of concrete with crystalline admixtures in different environments’, Construction and Building Materials 86 (2015), 1–11. [Google Scholar]
  7. Snoeck, D. and De Belie, N., ‘Repeated autogenous healing in strain-hardening cementitious composites by using superabsorbent polymers’, ASCE Journal of Materials in Civil Engineering 28 (1) (2015) 1–11. [Google Scholar]
  8. Cuenca, E., Echegaray-Oviedo J. and P. Serna, ‘Influence of concrete matrix and type of fiber on the shear behavior of Self Compacting Fiber Reinforced Concrete beams’, Composites Part B: Engineering 75 (2015) 135–147. [CrossRef] [Google Scholar]
  9. Snoeck, D. and De Belie, N., ‘From straw in bricks to modern use of microfibers in cementitious composites for improved autogenous healing - A review’, Construction and Building Materials 95 (2015) 774–787. [CrossRef] [Google Scholar]
  10. Ferrara, L., Krelani V. and Moretti, F., ‘Autogenous healing on the recovery of mechanical performance of HPFRCCs: part 2’, Cement and Concrete Composites 73 (2016) 299–315. [CrossRef] [Google Scholar]
  11. Sahmaran, M., Yildirim, G. et al., ‘Repeatability and pervasiveness of Self-Healing in Engineered Cementitious Composites’, ACI Materials J 112 (4) (2014) 513–522. [Google Scholar]
  12. Mohan, A. and Poobal, S. ‘Crack detection using image processing: A critical review and analysis’, Alexandria Eng. J. (2017). [Google Scholar]
  13. Hutchinson, T.C. and Chen, Z., ‘Image-based framework for concrete surface crack monitoring and quantification,’ Adv. Civ. Eng. (2010). [Google Scholar]
  14. Imocha Singh, O., Sinam, T., James, O. and Romen Singh, T., ‘Local Contrast and Mean Thresholding in Image Binarization,’ Int. J. Comput. Appl., 51 (6) (2012) 5–10. [Google Scholar]
  15. Romen Singh, T., Roy, S., and Manglem Singh, K., ‘Local Adaptive Automatic Binarisation (LAAB),’ Int. J. Comput. Appl., 40 (6) (2012) 27–30. [Google Scholar]
  16. Adhikari, R.S., Moselhi, O., and Bagchi, A., ‘Image-based retrieval of concrete crack properties for bridge inspection,’ Autom. Constr., 39 (2014)180–194. [CrossRef] [Google Scholar]
  17. Lee, B.Y., Kim, Y.Y., Yi, S.T., and Kim, J.K., ‘Automated image processing technique for detecting and analysing concrete surface cracks,’ Struct. Infrastruct. Eng., 9 (6) (2013) 567–577. [CrossRef] [Google Scholar]
  18. Fujita, Y., and Hamamoto, Y. ‘A robust automatic crack detection method from noisy concrete surfaces,’ Mach. Vis. Appl., 22 (2) (2011) 245–254. [CrossRef] [Google Scholar]
  19. Valença, J., Dias-Da-Costa, D., Júlio, E., Araújo, H., and Costa H., ‘Automatic crack monitoring using photogrammetry and image processing,’ Meas. J. Int. Meas. Confed., 46 (1) (2013) 433–441. [CrossRef] [Google Scholar]
  20. Ferrara, L., Krelani, V. and Carsana, M: “A fracture testing based approach to assess crack healing of concrete with and without crystalline admixtures”, Construction and Building Materials, 68 (2014) 515–531. [Google Scholar]
  21. Roig Flores, M., Pirritano, F., Serna Ros, P. and Ferrara, L.: “Effect of crystalline admixtures on the self-healing capability of early-age concrete studied by means of permeability and crack closing tests”, Construction and Building Materials, 114 (2016) 447–457. [Google Scholar]
  22. De Nardi, C., Bullo, S., Ferrara, L., Ronchin, L. and Vavasori, A.: “Effectiveness of crystalline admixtures and lime/cement microcapsules in engineered self-healing capacity of lime mortars”, Materials and Structures 50 (4) (2017) 191.1–191.12. [CrossRef] [Google Scholar]
  23. di Prisco, M., Ferrara, L., Lamperti, M.G.L. ‘Double edge wedge splitting (DEWS): an indirect tension test to identify post-cracking behavior of fibre reinforced cementitious composites’, Materials and Structures, 46 (11) (2013) 1893–1918. [CrossRef] [Google Scholar]

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