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Detection and evaluation of vascular network based self-healing concrete using acoustic emission

Wang, Y., Pullin, R. ORCID:, Pearson, M. ORCID:, Davies, R. ORCID: and Holford, K. ORCID: 2021. Detection and evaluation of vascular network based self-healing concrete using acoustic emission. Presented at: World Conference on Acoustic Emission 2019 (WCAE), Guangdong, China, 5-8 November 2019. Published in: Shen, Gongtian, Zhang, Junjiao and Wu, Zhanwen eds. Advances in Acoustic Emission Technology: Proceedings of the World Conference on Acoustic Emission—2019. Springer Proceedings in Physics. Springer Proceedings in Physics , vol.259 Springer; 1999, 10.1007/978-981-15-9837-1_25

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Given the very wide use of concrete within construction sectors, a huge amount of money has been spent to maintain and repair damage to infrastructure every year due to poor durability, construction methods, and quality control process of concrete structures. Then people started to investigate the “smart materials” that will adapt to their environment, including the self-healing concrete. In this study, totally four sets specimen (12 beams) has been tested and each whole testing process is divided into two parts. Acoustic Emission (AE) technique was applied to monitor the behaviour of self-healing concrete through whole testing process. The results have demonstrated that self-healing concrete based on vascular network is capable of restoring around 70% of the original concrete strength and bearing capacity. AE parameters can be effectively used to characterize the damage level of self-healing concrete. Experimental results also demonstrated that the use of Felicity effect could be promisingly applied to intuitively determine and evaluate the effectiveness of healing.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: Springer; 1999
ISSN: 0930-8989
Last Modified: 05 Jan 2024 08:28

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