Investigation into the Effects of Crystalline Admixtures and Coatings on the Properties of Self-Healing Concrete.

crystalline admixture durability fresh properties hardened properties self-healing concrete

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
05 Feb 2024
Historique:
received: 12 12 2023
revised: 29 01 2024
accepted: 31 01 2024
medline: 9 4 2024
pubmed: 9 4 2024
entrez: 9 4 2024
Statut: epublish

Résumé

One fascinating concept for enhancing the durability and lifespan of concrete buildings involves the use of self-healing concrete. This study focuses on the effect of crystalline admixtures and coatings on various properties of self-healing concrete and provides a comparison with traditional concrete. Four different concrete mixtures were prepared to assess their effectiveness in bridging crack openings, their flexural and compressive strengths, and water absorption. Various testing methods, including destructive, semi-destructive, and non-destructive tests, were used in this research. The capacity of the mixes to repair themselves was assessed on the destroyed and semi-destroyed test specimens using crack-healing and microstructure testing. Additionally, all mixtures were also subjected to the slump cone test and air content test in order to investigate the characteristics of the concrete in its fresh state. The findings demonstrate that crystalline coating and admixture combinations have significant potential for healing concrete. The compressive and bending strengths of self-healing concrete mixtures were shown to be slightly higher compared to traditional concrete when the additive dose was increased. Self-healing concrete mixtures also exhibited much lower water absorption, a tightly packed and improved microstructure, and signs of healed gaps, all of which indicate greater durability.

Identifiants

pubmed: 38592005
pii: ma17030767
doi: 10.3390/ma17030767
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : University of Pécs
ID : 011_2023_PTE_RK/5

Auteurs

Ravi Kumar Shetiya (RK)

Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, 7622 Pécs, Hungary.

Sara Elhadad (S)

Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, 7622 Pécs, Hungary.
Department of Architecture, Faculty of Engineering, Minia University, Minia 61111, Egypt.

Ali Salem (A)

Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, 7622 Pécs, Hungary.
Civil Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt.

Attila Fülöp (A)

Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, 7622 Pécs, Hungary.

Zoltan Orban (Z)

Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, 7622 Pécs, Hungary.

Classifications MeSH