2026-09-20T23:41:16Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/61872022-11-24T01:05:34Zcom_10259_6171com_10259_5086com_10259_2604col_10259_6172
Repositorio Institucional de la Universidad de Burgos
author
Revilla Cuesta, Víctor
author
Skaf Revenga, Marta
author
Serrano López, Roberto
author
Ortega López, Vanesa
2021-11-19T09:17:27Z
2021-11-19T09:17:27Z
2021-04
0950-0618
http://hdl.handle.net/10259/6187
10.1016/j.conbuildmat.2021.122454
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.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Recycled concrete aggregate
Self-compacting concrete
Non-destructive testing
Hammer rebound index
Ultrasonic pulse velocity
Ground Granulated Blast Furnace Slag
Structural health monitoring
Compressive strength
Models for compressive strength estimation through non-destructive testing of highly self-compacting concrete containing recycled concrete aggregate and slag-based binder
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/6187/5/Revilla-Cbm2_2021.pdf
File
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Revilla-Cbm2_2021.pdf