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Relating Permeability to 3D Crack Topography to Evaluate the Healing Efficiency in Carcked Reactive Powder Concrete

EasyChair Preprint 9796

4 pagesDate: February 28, 2023

Abstract

The self-healing effects of concrete alter the 3D crack topography by accumulating newly formed products, which changes the water flow behavior and results in a reduction in water permeability. This study utilized laser scanner and water permeability tests to establish a feedback mathematical model that quantifies the relationship between 3D crack topography and the intrinsic permeability of reactive powder concrete (RPC). The model is expected to predict the effect of healing product accumulation on crack topography. The intrinsic permeability was characterized by Darcy's law, and the 3D crack topography was reconstructed using point-cloud matching technology. Cracked RPCs with various widths were immersed in water for 120 days, and it was found that water permeability reduction can be attributed to local crack width reduction, which may even form an obstacle with zero width. When all interconnected paths are cut by newly produced precipitates, water permeability decreases to zero, even though many voids may remain in the crack topography. After healing, variations in crack surface roughness are observed, but the mean crack widths of all specimens decrease.

Keyphrases: Crack topography, Feedback model, Healing efficiency, Self-healing concrete, Water permeability test

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:9796,
  author    = {Sailong Hou and Caijun Shi and Kai Li and Xiang Hu},
  title     = {Relating Permeability to 3D Crack Topography to Evaluate the Healing Efficiency in Carcked Reactive Powder Concrete},
  howpublished = {EasyChair Preprint 9796},
  year      = {EasyChair, 2023}}
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