应用灰色系统理论预测盐湖环境下混凝土氯离子容量

Liming Zhang, Hong-fa Yu
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引用次数: 1

摘要

采用水胶比为0.35的硅酸盐水泥,掺入0%矿物掺合料或10%硅灰或30%粉煤灰或50%磨碎的高炉矿渣,置换水泥制成混凝土试件,置于干湿盐湖环境中。测定了试样的总氯离子含量和游离氯离子含量。根据试验数据计算了混凝土氯离子结合力。通过灰色关联分析,研究了干湿循环时间、矿物外加剂对混凝土氯离子结合力的影响。建立多元灰色预测模型,预测盐湖环境下混凝土氯离子结合力的变化规律。该研究将这些有效变量按硅灰含量、粉煤灰含量、高炉磨渣含量和干湿循环时间从高到低进行排序。多元灰色预测模型能较好地预测硫酸盐环境下混凝土氯离子结合力的变化规律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of the grey system theory to predict the chloride ion capacity of concrete subjected to salt lake environment
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.
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