RT info:eu-repo/semantics/article
T1 Models for compressive strength estimation through non-destructive testing of highly self-compacting concrete containing recycled concrete aggregate and slag-based binder
A1 Revilla Cuesta, Víctor
A1 Skaf Revenga, Marta
A1 Serrano López, Roberto
A1 Ortega López, Vanesa
K1 Recycled concrete aggregate
K1 Self-compacting concrete
K1 Non-destructive testing
K1 Hammer rebound index
K1 Ultrasonic pulse velocity
K1 Ground Granulated Blast Furnace Slag
K1 Structural health monitoring
K1 Compressive strength
K1 Ingeniería civil
K1 Civil engineering
K1 Materiales de construcción
K1 Building materials
K1 Ensayos (Tecnología)
K1 Testing
AB Indirect estimation of compressive strength through non-destructive testing is key to monitoring the strength of structural concretes used in construction and rehabilitation works. However, no models are available to perform this estimation in highly Self-Compacting Concrete (SCC) with Recycled Concrete Aggregate (RCA). To fill this gap, two indirect measures were tested in this paper, the hammer rebound index and Ultrasonic Pulse Velocity (UPV), to predict the compressive strength of highly SCC. To do so, 24 SCC mixes were developed with different aggregate powders, binders, such as Ground Granulated Blast Furnace Slag (GGBFS), and contents of fine RCA. Compressive strength, and both indirect measures of all mixtures were determined at 1, 7, 28, and 90 days. The development of specific models for highly SCC responded to the inappropriateness of conventional models that are not adapted to its high fines content. Modelling as a function of either UPV or the hammer rebound index yielded accurate predictions, although the UPV model proved more sensitive to compositional changes and presented higher uncertainty. The best predictions were modelled by combining both indirect measures. The models provided safe and accurate indirect estimations of the compressive strength of high flowability SCC in real structures.
PB Elsevier
SN 0950-0618
YR 2021
FD 2021-04
LK http://hdl.handle.net/10259/6187
UL http://hdl.handle.net/10259/6187
LA eng
NO Spanish Ministry MCIU, AEI and ERDF [grant number FPU17/03374]; the Junta de Castilla y León (Regional Government) and ERDF [grant number UIC-231, BU119P17]; Youth Employment Initiative (JCyL) and ESF [grant number UBU05B_1274]; and, finally, the University of Burgos [grant number SUCONS, Y135.GI].
DS Repositorio Institucional de la Universidad de Burgos
RD 23-nov-2024