Long-term autogenous healing and re-healing performance in concrete: Evaluation using air-coupled surface-wave method
- Authors
- Ahn, Eunjong; Kim, Hyunjun; Park, Byoungsun; Shin, 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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Collections - College of Science and Technology > Department of Environmental Engineering > 1. Journal Articles
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