Advanced Concrete Technology

306 citations recorded by the source corpus.

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A New Method for Predicting the Ingredients of Self-Compacting Concrete (SCC) Including Fly Ash (FA) Using Data Envelopment Analysis (DEA) (2020, background): “The correctness of the model to forecast the properties of the fresh phase of SCC, showed that the ANN model can truly forecast the flow properties [28].”
Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression (2016, methodology): “In the present study, a total of 257 data sets was collected from fresh experiments performed by authors (Ajdukiewicz and Kliszczewicz, 2002; Tu et al., 2006; Ryu, 2002; Deshpande et al., 2014; Hansen and Narud, 1983; Rao et al., 2011; Yong et al., 2009; Akbari et al., 2011; Katz, 2003; Padmini et a”
Property investigation of individual phases in cementitious composites containing silica fume and fly ash (2015, background): “Increased use of industrial by-products leads to a decrease of CO2 emission and energy consumption [1,2].”
High-performance fiber-reinforced concrete: a review (2016, background): “This is demonstrated that under tensile loading, cracks propagate rapidly at much lower stress levels than compared to compressive stress levels, which cause brittle failure in the concrete [190].”