One of the most fundamental developments in improving the mechanical properties of concrete is the introduction of recycled coarse aggregate, which offers an environmentally preferable substitute for traditional waste management techniques. Using recycled coarse aggregate and a small number of mix proportions for the concrete components, a few studies looked at the mechanical properties of concrete. To assess the impact of recycled coarse aggregate on the long-term compressive strength of concrete at various mix proportions and different compressive strength ranges, this study analyzed four models, including linear regression (LR), nonlinear regression (NLR), pure quadratic (PQ), and full quadratic (FQ). Three datasets training, testing, and validating, each containing 314 data points culled from various studies, were used to apply the models. The recycled coarse aggregate (RA) density ranged from 0 to 1240 kg/m³, and the curing time (t) varied from 1 to 90 days. While the predicted compressive strength of the models ranged between 5 and 75 MPa, the compressive strength of the data gathered from the experimental work of several studies ranged from 8 to 78 MPa. The models’ accuracy was assessed using several metrics, including the coefficient of determination (R²), the root-mean-square error (RMSE), the scatter index (SI), the objective (OBJ), and the mean absolute error (MAE).

提高混凝土机械性能的最根本发展之一是再生粗骨料的引入，它为传统废物管理技术提供了一种更环保的替代品。使用再生粗骨料和少量混凝土成分的配合比，一些研究着眼于混凝土的机械性能。为了评估再生粗骨料在不同配合比和不同抗压强度范围内对混凝土长期抗压强度的影响，本研究分析了四种模型，包括线性回归（LR）、非线性回归（NLR）、纯二次（PQ） ) 和完全二次 (FQ)。三个数据集训练、测试和验证，每个包含从各种研究中挑选的 314 个数据点，用于应用模型。³，固化时间（t）从1天到90天不等。虽然模型的预测抗压强度介于 5 到 75 MPa 之间，但从几项研究的实验工作中收集的数据的抗压强度介于 8 到 78 MPa 之间。使用几个指标评估模型的准确性，包括决定系数 (R ² )、均方根误差 (RMSE)、散点指数 (SI)、目标 (OBJ) 和平均绝对误差 (梅）。