Models to predict the mechanical properties of blended SCC containing recycled steel slag and crushed granite stone as coarse aggregate

•RSS aggregate SCCs showed lower strength than the CGS aggregate SCCs.•Usage of microsilica and GBFS enhanced the mechanical properties of the SCCs.•SCC with compressive strength ≥ 45 MPa can produced using RSS aggregate.•18 models were developed to predict the mechanical properties SCCs.•Proposed m...

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Veröffentlicht in:Construction & building materials 2021-10, Vol.302, p.124342, Article 124342
Hauptverfasser: Chandru, P., Karthikeyan, J.
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Sprache:eng
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Zusammenfassung:•RSS aggregate SCCs showed lower strength than the CGS aggregate SCCs.•Usage of microsilica and GBFS enhanced the mechanical properties of the SCCs.•SCC with compressive strength ≥ 45 MPa can produced using RSS aggregate.•18 models were developed to predict the mechanical properties SCCs.•Proposed models were compared with the existing models. The present study aims at developing models to predict the various mechanical properties of ternary blended (ground granulated blast furnace slag (GBFS) + microsilica) self-consolidating concretes (SCCs) made with crushed granite stone (CGS) and recycled steel slag (RSS) as coarse aggregate. Ternary blended SCCs were produced in two batches. The first batch contains RSS as coarse aggregate, whereas the second contains CGS as coarse aggregate. The samples were subjected to compression, split tension, flexural, modulus of elasticity, and rebar pull-off tests. Experimental results imply that the mechanical properties of RSS aggregate SCCs were 10 to 21% lower than the CGS aggregate SCCs. Regression analysis was performed with the recorded results, and models were proposed to correlate the various hardened properties of the SCCs with a high correlation coefficient (R2 ≥ 0.94).
ISSN:0950-0618
1879-0526
DOI:10.1016/j.conbuildmat.2021.124342