硅酸盐通报2024,Vol.43Issue(11):4177-4184,8.
基于响应面法的碱激发矿渣-粉煤灰砂浆配比优化
Optimization of Mix Ratio of Alkali-Activated Slag-Fly Ash Mortar Based on Response Surface Methodology
摘要
Abstract
A quadratic regression model was constructed based on the response surface methodology using water/binder ratio,sodium silicate modulus,alkali equivalent(Na2 O content)as independent variables and 28 d compressive strength,28 d flexural strength,setting time and fluidity as response target values.The model was analyzed for variance and significance,and the optimal mix ratio was determined.The results show that the most significant effect of water/binder ratio on compressive strength,flexural strength,setting time and fluidity,followed by sodium silicate modulus and alkali equivalent,there is a more significant interaction between the factors,in which the interaction between water/binder ratio and sodium silicate modulus is the most significant.The optimal mix ratio is 0.39 water/binder ratio,1.38 sodium silicate modulus and 4.7%(mass fraction)alkali equivalent,and the error between the model prediction and the experimental results is less than10%.The high accuracy of this regression fitting model further confirms the effectiveness of the response surface methodology in determining the optimal mix ratio parameters of alkali-activated materials.关键词
碱激发材料/响应面法/抗压强度/抗折强度/凝结时间/流动度Key words
alkali-activated material/response surface methodology/compressive strength/flexural strength/setting time/fluidity分类
建筑与水利引用本文复制引用
田颖,吴世超,李京军,孙科科..基于响应面法的碱激发矿渣-粉煤灰砂浆配比优化[J].硅酸盐通报,2024,43(11):4177-4184,8.基金项目
内蒙古自治区重点研发和成果转化项目(2022YFHH0118) (2022YFHH0118)
内蒙古自治区高等学校青年科技英才支持计划资助(NJYT24060) (NJYT24060)