RT info:eu-repo/semantics/article
T1 Simultaneous addition of slag binder, recycled concrete aggregate and sustainable powders to self-compacting concrete: a synergistic mechanical-property approach
A1 Revilla Cuesta, Víctor
A1 Faleschini, Flora
A1 Pellegrino, Carlo
A1 Skaf Revenga, Marta
A1 Ortega López, Vanesa
K1 Recycled concrete aggregate
K1 Sustainable aggregate powder
K1 Ground granulated blast furnace slag
K1 Self-compacting concrete
K1 Mechanical properties
K1 Synergistic effect
K1 Ingeniería civil
K1 Civil engineering
K1 Materiales de construcción
K1 Building materials
AB The behavior of Self-Compacting Concrete (SCC) is very sensitive to the use of by-productsin replacement of conventional cement or finer aggregate fractions. The high proportionsof these raw materials in SCC can in great part explain this performance. 18 SCC mixes ofslump-flow class SF3 were prepared for a thorough evaluation of different sustainablematerials and for the prediction of their effects as binder or fine/powder aggregate on themechanical properties of SCC. The mixes incorporated 100% coarse Recycled ConcreteAggregate (RCA); different amounts (0%, 50% or 100%) of fine RCA; CEM I ordinary Portlandcement and CEM III/A (with 45% ground granulated blast furnace slag); and more sustainable powders compared to conventional limestone filler <0.063 mm (such as limestonepowder 0/0.5 mm and RCA powder 0/0.5 mm). Flowability, hardened density, strengthunder compression, tensile and bending stresses and modulus of elasticity were all studied. The addition of 50% fine RCA yielded an SCC of adequate strength, stiffness andflowability. SCC manufactured with limestone powder 0/0.5 mm showed the best overallperformance, while SCC behavior was improved when adding CEM III/A by adjusting themix composition. The experimental results of all the mechanical properties werecompared with the values predicted by the compressive-strength-based formulas from theEuropean and USA standards. Overall, the values resulting from those expressions overestimated all the mechanical properties. Therefore, since all these properties followedthe same simple-regression trend, a statistical analysis was performed to develop a globalmodel capable of accurately predicting them all.
PB Elsevier
SN 2238-7854
YR 2022
FD 2022-03
LK http://hdl.handle.net/10259/7988
UL http://hdl.handle.net/10259/7988
LA eng
NO The authors wish to express their gratitude for funding this research work to: the Spanish Ministry of Universities, MICINN, AEI, EU, and ERDF [PID2020-113837RB-I00; 10.13039/501100011033; FPU17/03374; PRX21/00007]; the Junta de Castilla y León (Regional Government) and ERDF [UIC-231, BU119P17]; and the University of Burgos [SUCONS, Y135.GI] and the University of Padova.
DS Repositorio Institucional de la Universidad de Burgos
RD 23-nov-2024