Abstract
This paper aims to investigate the effect of fine recycled concrete powder (FRCP) on the strength of self-compacting concrete (SCC). For this purpose, a numerical artificial neural network (ANN) model was developed for strength prediction of SCC incorporating FRCP. At first, 240 experimental data sets were selected from the literature to develop the model. Approximately 60% of the database was used for training, 20% for testing, and the remaining 20% for the validation step. Model inputs included binder content, water/binder ratio, recycled concrete aggregates’ (RCA) content, percentage of supplementary cementitious materials (fly ash), amount of FRCP, and curing time. The model provided reliable results with mean square error (MSE) and regression values of 0.01 and 0.97, respectively. Additionally, to further validate the model, four experimental recycled self-compacting concrete (RSCC) samples were tested experimentally, and their properties were used as unseen data to the model. The results showed that the developed model can predict the compressive strength of RSCC with high accuracy.
Highlights
Introduction iationsConcrete is the most used material worldwide and its production has drastically increased during the last decades
Well-designed, trained model should provide accurate output results as prediction, not transfer function between the second and output layers. This is recognized to be the fastest only for input data used in the training process and for new experimental data unfamilapproach for training networks of moderate size [36]
Results indicated that the designed artificial neural network (ANN) model could be a desirable approach for predicting the compressive strength of recycled self-compacting concrete (RSCC)
Summary
Concrete is the most used material worldwide and its production has drastically increased during the last decades. This situation has been thoroughly noted in the construction section and initiatives have been made to change what is known as conventional practice in many examples, to search for ways to improve the construction materials performance and lower the impacts, and to produce environmentally friendly materials [1,2]. Self-compacting concrete (SCC), as one of the most significant advances in the concrete industry, exhibits a better performance than that of conventional concrete [5]. This may be attributed to the association of supplementary cementitious materials (SCM).
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