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Numerical proposals for the self-repairing assessment of ECC members

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Abstract
The paper proposes expressions for the self-repairing assessment (i.e., the recovery of the mechanical properties of the material consequent to the self-healing process) obtained by processing through regression analysis the results of the four-point-bending tests performed on ECC specimens. ECC mixes design considered varying the fly ash content/cement content and the type of micro-fibers. four-point-bending tests were performed on reference specimens and pre-cracked and healed specimens, at various ages and with different loading rates. The studied parameters are the first-cracking strength, ultimate flexural strength upon strain hardening, initial tangent Young modulus and ultimate flexural tensile strain as a measurement of the multiple-cracking capability. Finally, power and logarithmic regression expressions are proposed to simulate the recovery of the self-healing parameters.
Keywords
Self-healing, Self-repairing, ECC, Modeling, Regression analysis

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Chicago
Mircea, Calin Gr, Cornelia Baera, Didier Snoeck, and Nele De Belie. 2018. “Numerical Proposals for the Self-repairing Assessment of ECC Members.” In 6th European Conference on Computational Mechanics (ECCM 6), ed. Roger Owen, René de Borst, Jason Reese, and Chris Pearce, 3181–3191. Barcelona: CIMNE.
APA
Mircea, C. G., Baera, C., Snoeck, D., & De Belie, N. (2018). Numerical proposals for the self-repairing assessment of ECC members. In R. Owen, R. de Borst, J. Reese, & C. Pearce (Eds.), 6th European Conference on Computational Mechanics (ECCM 6) (pp. 3181–3191). Presented at the 6th European Conference on Computational Mechanics (ECCM 6), Barcelona: CIMNE.
Vancouver
1.
Mircea CG, Baera C, Snoeck D, De Belie N. Numerical proposals for the self-repairing assessment of ECC members. In: Owen R, de Borst R, Reese J, Pearce C, editors. 6th European Conference on Computational Mechanics (ECCM 6). Barcelona: CIMNE; 2018. p. 3181–91.
MLA
Mircea, Calin Gr et al. “Numerical Proposals for the Self-repairing Assessment of ECC Members.” 6th European Conference on Computational Mechanics (ECCM 6). Ed. Roger Owen et al. Barcelona: CIMNE, 2018. 3181–3191. Print.
@inproceedings{8600800,
  abstract     = {The paper proposes expressions for the self-repairing assessment (i.e., the recovery of the mechanical properties of the material consequent to the self-healing process) obtained by processing through regression analysis the results of the four-point-bending tests performed on ECC specimens. ECC mixes design considered varying the fly ash content/cement content and the type of micro-fibers. four-point-bending tests were performed on reference specimens and pre-cracked and healed specimens, at various ages and with different loading rates. The studied parameters are the first-cracking strength, ultimate flexural strength upon strain hardening, initial tangent Young modulus and ultimate flexural tensile strain as a measurement of the multiple-cracking capability. Finally, power and logarithmic regression expressions are proposed to simulate the recovery of the self-healing parameters.},
  author       = {Mircea, Calin Gr and Baera, Cornelia and Snoeck, Didier and De Belie, Nele},
  booktitle    = {6th European Conference on Computational Mechanics (ECCM 6)},
  editor       = {Owen, Roger and de Borst, Ren{\'e} and Reese, Jason and Pearce, Chris},
  isbn         = {9788494731167},
  language     = {eng},
  location     = {Glasgow},
  pages        = {3181--3191},
  publisher    = {CIMNE},
  title        = {Numerical proposals for the self-repairing assessment of ECC members},
  year         = {2018},
}