This study aims to analyze the effect of SAP dosage, presence of macrofibers, and resting time on the rheological properties of cement mortar. Accordingly, we measured the static yield stress, equilibrium shear stress, thixotropic area, and nonlinearity (shear thinning/thickening) using a rheometer, and analysis of variance (ANOVA) was utilized to statistically analyze whether each factor (explanatory variable) has any effect on rheological properties (response variable) at the 95% confidence level. The results demonstrated that while equilibrium shear stress and thixotropic area are influenced by SAP dosage, presence of macrofibers, and resting time at a statistically significant level, static yield stress is influenced by SAP dosage and resting time. In contrast, material nonlinearity is only influenced by SAP dosage at a statistically significant level. In addition, statistical models for the rheological properties of cement mortar with SAP and macrofibers were proposed using only the factors selected by ANOVA. The prediction models were found to have a high $R^2$ of more than 0.9 on average, excluding nonlinearity. The findings of this study can serve as basic data for determining suitable mixtures for 3D printing concrete incorporating SAP and macrofibers.

本研究旨在分析 SAP 用量、粗纤维的存在和静置时间对水泥砂浆流变性能的影响。因此，我们使用流变仪测量了静态屈服应力、平衡剪切应力、触变面积和非线性（剪切稀化/增稠）, 并利用方差分析 (ANOVA) 在 95% 的置信水平上统计分析每个因素 (解释变量) 是否对流变特性 (响应变量) 有任何影响。结果表明，虽然平衡剪切应力和触变面积受 SAP 用量、粗纤维的存在和静置时间的影响具有统计学意义，但静态屈服应力受 SAP 用量和静置时间的影响。相比之下，材料非线性仅在统计显着水平上受 SAP 用量的影响。此外，仅使用方差分析选择的因素，提出了含有 SAP 和粗纤维的水泥砂浆流变性能的统计模型。发现预测模型具有较高的$R^{\mathrm{2个}}$平均超过 0.9，不包括非线性。这项研究的结果可以作为确定用于 3D 打印掺入 SAP 和粗纤维的混凝土的合适混合物的基础数据。