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纳米SiO2粉煤灰混凝土抗压强度影响及灰熵分析
引用本文:云振军,姚占全,何梁,维利思,李越.纳米SiO2粉煤灰混凝土抗压强度影响及灰熵分析[J].排灌机械工程学报,2022,40(5):467-474.
作者姓名:云振军  姚占全  何梁  维利思  李越
作者单位: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
摘    要:为探究纳米SiO2粉煤灰混凝土孔隙结构对抗压强度的影响,取纳米SiO2掺量分别为1%,3%,5%和7%,粉煤灰掺量分别为10%,20%和30%,水胶比为0.35,将两者复掺进行试验.测定混凝土3 d,7 d和28 d立方体抗压强度.利用核磁共振技术、场发射扫描电镜和差热-热重技术,综合分析研究孔隙结构及微观形貌特征,通过灰关联熵分析法找出影响混凝土抗压强度的主、次因素,并建立GM(1,4)灰色预测模型.结果表明:两者复掺在混凝土发育阶段起到正耦合作用,宏微观关联分析可知,粉煤灰掺量20%、纳米SiO2掺量3%为最优;建立了混凝土抗压强度与(0,0.01] μm孔径占比、(0.01,0.10] μm孔径占比和束缚流体饱和度的灰色预测模型.GM(1,4)模型3,7和28 d的预测值与试验值的平均相对误差分别为3.28%,4.00%和2.64%,利用孔隙结构预测混凝土抗压强度有较好的精度.该研究可为纳米SiO2和粉煤灰在混凝土工程中的应用提供一定参考.

关 键 词:混凝土  纳米SiO2  粉煤灰  孔隙结构  灰熵  GM(1  4)模型  
收稿时间:2021-10-30

Influence of nano-SiO2 fly ash on compressive strength of concrete and grey entropy analysis
YUN Zhenjun,YAO Zhanquan,HE Liang,WEI Lisi,LI Yue.Influence of nano-SiO2 fly ash on compressive strength of concrete and grey entropy analysis[J].Journal of Drainage and Irrigation Machinery Engineering,2022,40(5):467-474.
Authors:YUN Zhenjun  YAO Zhanquan  HE Liang  WEI Lisi  LI Yue
Affiliation:College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China
Abstract:To explore the influence of pore structure of nano-SiO2 fly ash concrete on compressive strength, the content of nano-SiO2 additional rate 1%, 3%, 5% and 7% and fly ash additional rate 10%, 20% and 30%, respectively, the water to binder ratio was 0.35, and the two are mixed together for the test. Determine the cube microstructure compressive strength 3 d, 7 d and 28 d. The pore structure and micro morphology were comprehensively analyzed and studied by nuclear magnetic resonance technology, field emission scanning electron microscope and differential thermal gravimetric technology. The primary and secondary factors affecting the compressive strength of concrete are found out by gray correlation entropy analysis, and the GM(1, 4)gray prediction model is established. The results show that the nano-SiO2 and fly ash can promote the hydration of concrete, and improve the early compressive strength of concrete, meanwhile its optimal mix proportion when the mass fraction of fly ash and nano-SiO2 are 20% and 3%. The main factors affecting the compressive strength are(0,0.01]μm pore size ratio,(0.01,0.10]μm pore size ratio and bound fluid saturation to establish a GM(1, 4)gray model. The average relative errors between the predicted values of 3, 7 and 28 day and the experimental values are 3.28%, 4.00% and 2.64%, respectively. Using the pore structure to predict the compressive strength of concrete has better accuracy. This study can provide reference for the application of nano-SiO2 and fly ash in concrete engineering.
Keywords:concrete  nano-SiO2  fly ash  pore structure  grey entropy  GM(1  4)model  
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