摘要
针对硫酸盐侵蚀环境下10 mm×10 mm×60 mm规格的水泥基胶砂试件因试验材料及环境的微小变化引起数据离散的问题,开展硫酸盐侵蚀环境下水泥基胶砂试件抗折抗蚀系数计算模型研究。综合考虑水胶比、掺合料掺量、硫酸盐浓度等因素,提出用状态时变参数来表征其时变影响,推导并建立水泥基胶砂试件抗折抗蚀系数计算模型。通过浸泡抗侵蚀试验(K法)分别测试不同水胶比、粉煤灰掺量、硫酸盐浓度以及侵蚀龄期下的水泥基胶砂试件抗折强度并计算抗蚀系数,同时对相关文献的抗蚀系数进行预测。结果表明:模型计算值与试验实测值综合平均误差为3.1%,两值之间无显著差异且模型预测为无偏估计;模型计算值与相关文献实测值的综合平均误差为6.5%。该模型具有良好的适用性及普适性,可为内陆干旱地区混凝土抗硫酸盐侵蚀性能研究提供参考。
In order to solve the problem of discrete data caused by small changes in test materials and environment for 10 mm×10 mm×60 mm cement-based mortar specimens under sulfate erosion,a model for calculating the flexural and corrosion resistance coefficient of cement-based mortar specimens under sulfate erosion environment was developed.The bending and corrosion resistance coefficients of cement-based mortar specimens were calculated by the K-method,and the bending strengths of cement-based mortar specimens with different water-cement ratios,fly ash admixtures,sulfate concentrations and erosion ages were tested and the corrosion resistance coefficients were calculated by the immersion erosion resistance tests.The results show that the combined mean error between the calculated model values and the measured values is 3.1%.There is no significant difference between the calculated model values and the measured values,and the model predictions are unbiased.The combined mean error between the calculated model predictions and the measured values in the relevant literature is 6.5%.The model has good applicability and universality,and can be used as a reference for the research on the resistance of concrete to sulfate erosion in inland arid areas.
作者
葛志朋
宫经伟
谢刚川
唐新军
GE Zhipeng;GONG Jingwei;XIE Gangchuan;TANG Xinjun(College of Hydraulic and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Key Laboratory of Hydraulic Engineering Security and Water Disasters Prevention,Urumqi 830052,China)
出处
《材料科学与工程学报》
CAS
CSCD
北大核心
2024年第3期461-467,共7页
Journal of Materials Science and Engineering
关键词
硫酸盐侵蚀
水泥胶砂
抗蚀系数
时变影响
计算模型
Sulfate attack
Cement-based mortar
Corrosion resistance factor
Time-varying effects
Calculation models