Influence of fineness modulus of fine aggregate on the durability properties of alkali-activated slag composites: An exprimental and statistical study

Adams Balade Abubakar, Waleed Hassan Khushefati
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Abstract

The consideration of sustainability has become a very important factor, because of the negative impacts posed by the production of Ordinary Portland Cement (OPC). This study investigates the influence of fine aggregate fineness modulus (FM) on the durability properties of AACs exposed to harsh environmental conditions (high temperatures, sea water, and sulfate solutions). Furthermore, this paper aims to statistically derive and validate a linear model that can be utilized in predicting the compressive strength (CS) of AACs of ground granulated blast furnace slag (GGBFS) using ultrasonic pulse velocity (UPV) a non-destructive evaluation. The FM of 2.4, 2.8, and 3.2, which represent fine, medium, and coarse particle sizes of fine aggregate, respectively, were adopted in this study, with other parameters kept constant. GGBFS was activated with a combined alkaline activating solution of sodium silicate (Na2SiO3) and a 12 M concentration of sodium hydroxide (NaOH) in a 2 to 1 ratio. The CS, UPV, density, and microstructural morphology as well as statistical analysis investigating linear relationships between UPV and CS were all evaluated in different harsh environments. The results showed that specimens immersed in 7 % magnesium sulfate (MgSO4)and sea water after 6 months exhibited an increase in densities, CS, and UPV, with 2.4 FM having the highest enhancements, followed by 3.2 FM due to void filling action. However, mixes containing 2.8 FM were more resistant to residual incremental change produced by 7 % MgSO4 and sea water. The statistical analysis shows that; besides the simplicity and robustness of the linear model, it also gives a higher coefficient of determination compared to an exponential model, making it a better fit for the UPV and CS relationship.
细骨料细度模量对碱活性矿渣复合材料耐久性能影响的实验与统计研究
由于普通硅酸盐水泥(OPC)的生产所带来的负面影响,可持续性的考虑已成为一个非常重要的因素。本研究探讨了细骨料细度模量(FM)对暴露于恶劣环境条件(高温、海水和硫酸盐溶液)下的AACs耐久性的影响。此外,本文旨在统计推导并验证一个线性模型,该模型可用于利用超声脉冲速度(UPV)一种无损评价方法预测高炉磨粒渣AACs的抗压强度(CS)。本研究采用细骨料的细、中、粗粒度FM分别为2.4、2.8、3.2,其他参数保持不变。用水玻璃(Na2SiO3)和12 M浓度的氢氧化钠(NaOH)按2比1的比例组合碱性活化液活化GGBFS。在不同的恶劣环境下,CS、UPV、密度和微观结构形态以及调查UPV和CS之间线性关系的统计分析都进行了评估。结果表明,浸泡在7%硫酸镁(MgSO4)和海水中6个月后,样品的密度、CS和UPV均有所增加,其中2.4 FM增强最大,其次是3.2 FM,这是由于空隙填充作用。然而,含有2.8 FM的混合物更能抵抗7% MgSO4和海水产生的残余增量变化。统计分析表明;除了线性模型的简单性和鲁棒性外,与指数模型相比,它还具有更高的决定系数,使其更适合UPV和CS关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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