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Comparison of the experimental packing density values and values predicted by packing density models for electric arc furnace slag aggregates
Particulate Science and Technology ( IF 2.5 ) Pub Date : 2021-01-05
Davatee Maharaj, Abrahams Mwasha

Abstract

Being an industrial by product, the use of electric arc furnace slag as aggregates could produce highly sustainable concrete. This paper compares the calculated and the predicted packing density values of electric arc furnace slag. By using fine aggregate content of 25%, 50%, 65%, 75% and 90% respectively of electric arc furnace slag, the packing density values were calculated both experimentally and theoretically. The theoretical packing density values were evaluated using the Furnas Model, Toufar Model and the Modified Toufar Model (Europack Model). Using the calculated experimental and theoretical packing density values, mathematical equations were formulated to predict the relation between the packing density and the fine aggregate content of the electric arc furnace slag. Having analyzed the residual component and the standard error values of the linear, exponential and power variations, it was found that the power variation produced the best estimate of the variation of the packing density with the fine aggregate content of electric arc furnace slag aggregates. As such, using the predicted relation for the experimental packing density; a suitable relation that could be used to predict the variation of packing density with the fine aggregate content is described by the relation y = 0.1054x0.422.



中文翻译:

电弧炉炉渣骨料实验填充密度值与填充密度模型预测值的比较

摘要

作为工业的副产品,使用电弧炉炉渣作为骨料可以生产出高度可持续的混凝土。本文比较了电弧炉炉渣的计算密度和预测堆积密度值。通过分别使用电弧炉炉渣的25%,50%,65%,75%和90%的细骨料含量,通过实验和理论计算了堆积密度值。使用Furnas模型,Toufar模型和改进的Toufar模型(Europack模型)评估理论堆积密度值。利用计算出的实验和理论装填密度值,建立了数学方程式,以预测装填密度与电弧炉炉渣细骨料含量之间的关系。分析了线性,指数和功率变化的残差成分和标准误差值后,发现功率变化对电弧炉炉渣骨料的细骨料含量产生了堆积密度变化的最佳估计。因此,使用实验堆积密度的预测关系;y = 0.1054x描述了可以用来预测堆积密度随细骨料含量变化的合适关系0.422

更新日期:2021-01-05
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