Self-Compacted Concrete with Self-Protection and Self-Sensing Functionality for Energy Infrastructures
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/58629DOI: 10.3390/ma13051106
ISSN: 1996-1944
Date
2020-03-02Funders
This work was financially supported by the European Union’s H2020—LORCENIS Project, Long Lasting Reinforced Concrete for Energy Infrastructure under Severe Operating Conditions, (https://www.sintef.no/projectweb/lorcenis/). Grant agreement nº 685445
We would like to thank Dyckerho_, SIKA and NTUA, LORCENIS partners, for supplying
the cement, clinker aggregate, additives and CNT.
Bibliographic citation
Materials, 2020, v. 13, n. 5, 1106
Keywords
SCC
Self-diagnosis
Electrical resistivity
PZR
CNT
CMF
Thermal fatigue
Project
info:eu-repo/grantAgreement/EC/H2020/685445/EU/Long Lasting Reinforced Concrete for Energy Infrastructure under Severe Operating Conditions/LORCENIS
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution 4.0 International (CC BY 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
This paper aims to demonstrate the self-protection and self-sensing functionalities of self-compacted concrete (SCC) containing carbon nanotubes (CNT) and carbon microfibers (CMF) in
a hybrid system. The ability for self-sensing at room temperature and that of self-protection after
thermal fatigue cycles is evaluated. A binder containing a high volume of supplementary mineral
additions (30%BFSand20%FA) and di erent type of aggregates (basalt, limestone, and clinker) are used. The self-diagnosis is assessed measuring electrical resistivity (ER) and piezoresistivity (PZR) in compression mode within the elastic region of the concrete. Thermal fatigue is evaluated with mechanical and crack measurements after heat cycles (290–550 C). SCC withstands high temperature cycles. The protective e ect of the hybrid additive (CNT+CMF) notably diminishes damage by keepinghigher residual strength and lessmicrocracking of the concrete. Significant reductions in ER are detected. The self-diagnosis ability of functionalized SCC isconfirmed with PZR. A content of the hybrid functional additive (CNT+CMF) in the percolation region is recommended to maximize the self-sensing sensitivity. Other parameters as sample geometry, sensor location, power supply, and load level have less influence.
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