Models for compressive strength estimation through non-destructive testing of highly self-compacting concrete containing recycled concrete aggregate and slag-based binder

Indirect estimation of compressive strength through non-destructive testing is key to monitoring the structural concretes used in construction and rehabilitation works. However, no models are available perform this highly Self-Compacting Concrete (SCC) with Recycled Aggregate (RCA). To fill gap, two indirect measures were tested paper, hammer rebound index Ultrasonic Pulse Velocity (UPV), predict SCC. do so, 24 SCC mixes developed different aggregate powders, binders, such as Ground Granulated Blast Furnace Slag (GGBFS), contents fine RCA. Compressive strength, both all mixtures determined at 1, 7, 28, 90 days. The development specific for responded inappropriateness conventional that not adapted its high fines content. Modelling a function either UPV or yielded accurate predictions, although model proved more sensitive compositional changes presented higher uncertainty. best predictions modelled by combining measures. provided safe estimations flowability real structures.