Prediction of compressive strength of recycled aggregate concrete based on gray correlation analysis

By Li-hong Zhu, Cheng Zhao, Jun Dai. Construction and Building Materials, 2021

93 citations recorded by the source corpus.

Abstract Recycled aggregate concrete (RAC) specimens with different water–cement ratios and replacement levels of recycled coarse aggregate (RCA) were prepared. The effects of these two factors on the slump and compressive strength of the RAC were analyzed. The Abrams formula was used to predict the compressive strength of the RAC. The relationships between the regression coefficients and physical properties of the coarse aggregate were analyzed based on the gray correlation analysis (GCA). A method based on the GCA was proposed to predict the compressive strength of the RAC. The validity of this method was verified using experimental data that was reported before. The prediction accuracy of the modified Abrams model was satisfactory, indicating that the proposed method can meet practical engineering requirements.

Subfields: Building and Construction, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/f3f918aa06e0587127f6a88b746acf0d41fc9e53