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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下混凝土氯离子容量预测中的应用

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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:用波特兰水泥以0.35的水结合比掺入0%的矿物掺合料或10%的硅粉或30%的粉煤灰或50%的高炉矿渣替代水泥来制备混凝土试样,并将其暴露于盐湖环境干湿两用。测量样品的总氯离子含量和游离氯离子含量。根据试验数据计算混凝土的氯离子结合能力。通过灰色关联分析研究了干湿循环时间,矿物掺合料对混凝土氯离子结合能力的影响。建立了多元灰色预测模型,以预测盐湖环境下混凝土对氯离子结合能力的规律。该研究按硅粉含量,粉煤灰含量,高炉矿渣含量和干湿循环时间从高到低对这些有效变量进行了排序。多元灰色预测模型显示了足够的精度来预测硫酸盐环境下混凝土对氯离子的结合能力规律。

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