Mechanical Properties Dataset of BFRC for strength prediction with machine learning
Description
Data were obtained from a large number of dissertations.As most of the concrete requirements focus on the compressive strength at 28 days, only data referring to specimens that were tested at this age were selected. Numerous parameters relating to the mechanical properties and mix design of BFRC were included in this dataset. The parameters of the mix design included in the database were cement (C), silica fume (SF), fly ash (FA), coarse aggregate (CA), fine aggregate (FA), water (W), and superplasticizer (S), and the parameters related to the fiber properties were diameter (FD), length (FL), and fiber volume fraction (FF). Finally, the mechanical properties recorded in the dataset were compressive strength (CS), flexural strength (FS), and splitting tensile strength (STS). The dataset contained 13 parameters divided into ten features and three targets.