Shields, Yasmina, Tsangouri, Eleni, De Nardi, Cristina, Assunção Godinho, Jose Ricardo, Antonaci, Author Paola, Palmer, Palmer, Al-Tabbaa, Abir, Jefferson, Anthony ORCID: https://orcid.org/0000-0002-2050-2521, De Belie, Nele and Van Tittelboom, Author Kim 2024. Non-destructive evaluation of ductile-porous versus brittle 3D printed vascular networks in self-healing concrete. Cement and Concrete Composites 145 , 105333. 10.1016/j.cemconcomp.2023.105333 |
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Abstract
Additive manufacturing (AM) can produce complex vascular network configurations, yet limited testing has been done to characterize the damage and healing behavior of concrete with embedded networks for self-healing. In this study, different AM methods and network wall materials were used to produce vascular networks for self-healing concrete prisms, where their load-response behavior, healing efficiency and microstructure were evaluated using non-destructive techniques: acoustic emission (AE), ultrasonic pulse velocity (UPV), digital image correlation (DIC), and X -ray computed tomography (CT). The types of healing agent release mechanisms that were studied include a ductile-porous network that supplies fluid from its pores and a brittle network that fractures under load to release fluid. DIC coupled with AE verified debonding of ductile-porous networks from the cementitious matrix, and was able to track damage progression as well as healing for all networks with load regains up to 56 % and stiffness regains up to 91 % using polyurethane.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Publisher: | Elsevier |
ISSN: | 0958-9465 |
Funders: | European Union's Horizon 2020, Marie Skłodowska-Curie grant agreement no. 860006., European Union's Horizon 2020 no. 101005611, Leverhulme Trust ECF-2022-235. |
Date of First Compliant Deposit: | 18 October 2023 |
Date of Acceptance: | 12 October 2023 |
Last Modified: | 07 Nov 2024 17:45 |
URI: | https://orca.cardiff.ac.uk/id/eprint/163290 |
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