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水胶比为0.35,硅灰掺量10%,粉煤灰掺量30%,矿粉掺量50%的钢筋混凝土梁试件。利用设计的加载装置对试件加栽,将钢筋混凝土土试件暴露于干湿循环-盐湖卤水加速侵蚀环境中,用自然扩散法测定了钢筋混凝土试件距表面不同深度的总氯离子、自由氯离子浓度。计算钢筋混凝土试件氯离子结合能力。采用灰色关联理论研究了加载、矿物掺合料和干事循环次数对氯离子结合能力的影响。通过建立多元灰预测模型分析了盐湖卤水侵蚀环境下钢筋混凝土氯离子结合能力。结果表明:氯离子结合能力的影响因素的灰色关联度由大到小的排序为:0.4荷我比,10%硅灰掺量,30%粉煤灰掺量,50%矿粉掺量,干湿循环次数。多元灰预测模型呈现出较高的精度以预测盐湖卤水侵蚀环境下钢筋混凝土的混凝土氯离子结合能力规律。
Water-cement ratio of 0.35, 10% of silica fume content, fly ash content of 30%, slag content of 50% of the reinforced concrete beam specimens. The specimens were loaded with the designed loading device, and the specimens of reinforced concrete were exposed to wet and dry cycle-salt lake brine to accelerate the erosion environment. The total chloride ions at different depths of the specimens were measured by natural diffusion method. Chloride ion concentration. Calculation of chloride ion binding capacity of concrete specimens. The effects of loading, mineral admixtures and the number of cycles on chloride binding ability were studied by using gray relational theory. The chloride ion binding capacity of reinforced concrete in salt lake brine erosion environment was analyzed through the establishment of multivariate gray prediction model. The results showed that the order of the gray relational factors influencing the binding capacity of chloride ions was: 0.4% of melamine, 10% of silica fume, 30% of fly ash, 50% Wet cycle times. The multivariate gray prediction model shows high accuracy to predict the chloride ion binding capacity of reinforced concrete in salt lake brine environment.