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.

准备了具有不同水灰比和再生粗骨料（RCA）替代水平的再生骨料混凝土（RAC）标本。分析了这两个因素对RAC坍落度和抗压强度的影响。艾布拉姆斯公式用于预测RAC的抗压强度。基于灰色关联分析（GCA）分析了回归系数与粗骨料物理性质之间的关系。提出了一种基于GCA的方法来预测RAC的抗压强度。使用之前报告的实验数据验证了该方法的有效性。改进的Abrams模型的预测精度令人满意，表明该方法可以满足实际工程需求。