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Application of the grey system theory to predict the chloride ion capacity of concrete subjected to salt lake environment

机译:灰色系统理论在盐湖环境中预测混凝土氯离子容量

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Concrete specimens made with Portland cement at water-binder ratio of 0.35 incorporating 0% mineral admixture or 10% silica fume or 30% fly ash or 50% ground blast furnace slag with the replacement of cement were made and exposed to a wetting-drying salt lake environment. Total chloride ion content and free chloride ion content of specimens were measured. Concrete chloride binding capacity was calculated based on the test data. Effects of wet-dry cycle time, mineral admixtures on concrete chloride binding capacity were studied through the grey relational analysis. Multivariate grey prediction model was established to predict the rule of concrete chloride binding capacity subjected to salt lake environment. The study ranked these effective variables from high to low by silica fume content, fly ash content, ground blast furnace slag content, and wet-dry cycle time. Multivariate grey prediction model shows enough precision to predict the rule of concrete chloride binding capacity subjected to sulfate environment.
机译:用Portland水泥制造的混凝土样品在水粘合器比0.35掺入0 %矿物混合物或10 %硅粉或30 %粉煤灰或50 %地面高炉炉渣进行,并将水泥更换并暴露于a润湿干燥的盐湖环境。测量总氯离子含量和自由氯离子含量。基于测试数据计算混凝土氯化物结合能力。通过灰色关系分析研究了湿干循环时间,矿物混合物对混凝土氯化物结合能力的影响。建立了多变量灰色预测模型,以预测盐湖环境经受混凝土氯化物结合能力的规则。该研究通过二氧化硅烟雾含量,粉煤灰含量,地面高炉渣含量和湿干循环时间排名从高到低的这些有效变量。多变量灰色预测模型显示足够的精度,以预测对硫酸盐环境进行的混凝土氯化物结合能力的规则。

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