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Long-term autogenous healing and re-healing performance in concrete: Evaluation using air-coupled surface-wave method

Authors
Ahn, EunjongKim, HyunjunPark, ByoungsunShin, Myoungsu
Issue Date
8-11월-2021
Publisher
ELSEVIER SCI LTD
Keywords
Air-coupled surface wave; Computer vision; Long-term autogenous healing; Re-healing performance; Self-healing concrete
Citation
CONSTRUCTION AND BUILDING MATERIALS, v.307
Indexed
SCIE
SCOPUS
Journal Title
CONSTRUCTION AND BUILDING MATERIALS
Volume
307
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/135754
DOI
10.1016/j.conbuildmat.2021.124939
ISSN
0950-0618
Abstract
This study aimed at investigating two original topics on self-healing concrete, 1) the prediction of long-term healing progress and 2) the evaluation of re-healing performance for a previously healed but reopened crack, using the air-coupled surface-wave method. Small-scale plate concrete specimens were fabricated with a selfhealing binder incorporating ground granulated blast furnace slag, Na2SO4, anhydrite, and graded clinkers. A single flexural crack of 0.25-0.30 mm width was generated near the mid-span of each specimen. Then, the specimens were kept immersed in water, and the healing progress of the cracks was monitored for approximately one year. As a result, the residual surface crack area was reduced to 15.1% of the fully-cracked condition, and the surface wave transmission ratio recovered up to 82.9% of the uncracked condition. A prediction model for the ultimate healing rate and initial healing rate was proposed based on surface-wave results. After the first selfhealing process, the specimens were loaded again, and a similar crack was produced at the previously healed zone in each specimen. Then, the re-healing performance was evaluated for about two months. From the second self-healing process, one specimen with a narrow reopened crack showed a satisfactory recovery in surface wave transmission, comparable to that in the first healing.
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