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作 者:李越 姚占全[1] 李昊[1] 维利思 云振军 LI Yue;YAO Zhanquan;LI Hao;WEI Lisi;YUN Zhenjun(College of Water Conservancy and Civil Engineering,Inner Mongolia Agricultural University,Hohhot,Inner Mongolia 010018,China)
机构地区:[1]内蒙古农业大学水利与土木建筑工程学院,内蒙古呼和浩特010018
出 处:《排灌机械工程学报》2025年第4期395-403,共9页Journal of Drainage and Irrigation Machinery Engineering
基 金:内蒙古农业大学博士科研启动基金资助项目(BJ2014-4);内蒙古自然科学基金资助项目(2021MS05045)。
摘 要:为探究矿物掺合料对混凝土性能的影响,采用沸石粉(ZP)、硅灰(SF)和粉煤灰(FA)分别等质量取代水泥制备沸石粉混凝土、硅灰混凝土及粉煤灰混凝土,并进行抗压强度、核磁共振(NMR)及电镜(SEM)试验;随后利用灰熵关联度结合ANN-MEA模型对混凝土抗压强度进行预测.结果表明:掺入ZP,SF及FA对混凝土的微观结构有较强的改善作用,当三者掺量分别为10%,5%,20%时,各类混凝土的孔隙结构与水化结构改善最明显,各种混凝土大孔占比分别为11%,13%,15%,其中又以ZP掺量为10%时混凝土对应的大孔占比最少,水化结构的改善效果最为优越,因此其中ZP掺入时强度最高.通过微观试验分析可知ZP对混凝土微观水化结构改善效果优于SF及FA;该模型利用微观性质预测混凝土抗压强度,其测试集结果的均方误差只有2.7%,拟合优度为0.960,具有较高的拟合优度,这说明了微观性能预测宏观性能的可行性及有效性.In order to investigate the effect of mineral admixtures on concrete performance,zeolite powder(ZP),silica fume(SF),and fly ash(FA)were substituted for cement to prepare zeolite powder concrete,silica fume concrete,and fly ash concrete,after which compressive strength,nuclear magnetic resonance(NMR)and scanning electron microscopy(SEM)tests were carried out.Subsequently,the grey entropy correlation degree combined with the ANN-MEA model was used to predict the compressive strength of concrete.The results show that the addition of ZP,SF,and FA have a high improvement effect on the microstructure of concrete.When the content of the three is 10%,5%,and 20%,respectively,the pore structure and hydration structure of the various concrete see the most ob-vious improvement,and the proportion of large holes in the various concretes is 11%,13%,and 15%,respectively,among which the proportion of large holes in concrete is the least when the content of ZP is 10%.The improvement effect of hydration structure is the most superior,so the strength of ZP is the highest when it is incorporated.Through micro-experimental analysis,it can be seen that ZP has a better effect on improving the micro-hydration structure of concrete than SF and FA.The model uses microscopic properties to predict the compressive strength of concrete.The mean square error of the test set results is only 2.7%,and the goodness of fit is 0.960,which has a high goodness of fit,indicating the feasibility and effectiveness of microscopic properties to predict macroscopic properties.
关 键 词:沸石粉 硅灰 粉煤灰 ANN-MEA 电镜 核磁共振
分 类 号:TU528[建筑科学—建筑技术科学]
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