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A New Approach to Predict the Porosity of Pervious Concrete at Its Fresh State

机译:一种预测新鲜状态下透水混凝土孔隙率的新方法

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A mathematical formula was derived to predict the porosity of pervious concrete (PC) at its fresh state. Coarse aggregates (CA) within the size ranges of 0.016-0.02m and 0.01-0.014m were used in the study. Pervious concrete was mixed for two stages. A w-c ratio of 0.3 was used in the study. A scaling factor was defined to represent the thickness of cement paste coated around CA. The scaling factor is independent of the size of CA used and their volume based binary combinations. The percentage difference between the two scaling factor values obtained for CA having a size of 0.01-0.014m was calculated to be 1.14 percent. The tested wet density in all PC batches made in the first stage was approximately 170-264kg/mn3nlesser than the designed wet density. The difference between the tested porosity values and the porosity values calculated by the mathematical model has been developed is approximately 0.01-0.015mn3nfor all pervious concrete batches. It was observed that as the scaling factor increases the wet density increases and the porosity reduces. The porosity values calculated by the mathematical model and the tested porosity show a very strong linear relationship.
机译:推导了一个数学公式来预测透水混凝土(PC)在其新鲜状态下的孔隙率。在研究中使用的粗骨料(CA)在0.016-0.02m和0.01-0.014m的范围内。将透水混凝土混合两个阶段。研究中使用的w-c比率为0.3。定义比例因子以表示在CA周围涂覆的水泥浆的厚度。缩放因子与所用CA的大小及其基于体积的二进制组合无关。计算出的大小为0.01-0.014m的CA的两个比例因子值之间的百分比差异为1.14%。在第一阶段制造的所有PC批次中,测试的湿密度约为170-264kg / mn 3 小于设计的湿密度。已开发出测试孔隙率值与数学模型计算出的孔隙率值之间的差异约为0.01-0.015mn 3 n用于所有以前的混凝土批处理。观察到,随着比例因子的增加,湿密度增加,孔隙率降低。由数学模型计算的孔隙率值和测试的孔隙率显示出非常强的线性关系。

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