基于响应面法的碱激发矿渣-粉煤灰砂浆配比优化

硅酸盐通报 ›› 2024, Vol. 43 ›› Issue (11): 4177-4184.

基于响应面法的碱激发矿渣-粉煤灰砂浆配比优化

田颖¹, 吴世超², 李京军², 孙科科³

1.包钢集团节能环保科技产业有限责任公司,包头 014010;
2.内蒙古科技大学土木工程学院,包头 014010;
3.香港理工大学土木与环境工程学院,香港 999077

收稿日期:2024-04-23 修订日期:2024-06-07 出版日期:2024-11-15 发布日期:2024-11-21
通信作者: 李京军,博士,副教授。E-mail:642229851@qq.com
作者简介:田颖(1971—),男,正高级工程师。主要从事环境污染治理及环境影响评价工作。E-mail:nmty119@tom.com
基金资助:
内蒙古自治区重点研发和成果转化项目(2022YFHH0118);内蒙古自治区高等学校青年科技英才支持计划资助(NJYT24060)

Optimization of Mix Ratio of Alkali-Activated Slag-Fly Ash Mortar Based on Response Surface Methodology

TIAN Ying¹, WU Shichao², LI Jingjun², SUN Keke³

1. Baotou Steel Group Energy Saving and Environmental Protection Technology Industry Co., Ltd., Baotou 014010, China;
2. College of Civil Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China;
3. School of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China

Received:2024-04-23 Revised:2024-06-07 Published:2024-11-15 Online:2024-11-21

摘要/Abstract

摘要： 基于响应面法以水胶比、水玻璃模数、碱当量(Na₂O含量)为自变量,以28 d抗压强度、28 d抗折强度、凝结时间和流动度为响应目标值,建立二次回归模型,对模型进行方差和显著性分析,并确定了最优配比。结果表明,水胶比对抗压强度、抗折强度、凝结时间和流动度的影响最显著,水玻璃模数和碱当量的影响次之,各因素之间存在较为显著的交互影响,其中水胶比和水玻璃模数之间的交互影响最显著。最优配比为水胶比0.39、水玻璃模数1.38、碱当量4.7%(质量分数),模型预测值与试验结果值的误差小于10%,回归拟合模型精确度较高,证实了响应面法在确定碱激发材料最佳配比方面的有效性。

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

Abstract: A quadratic regression model was constructed based on the response surface methodology using water/binder ratio, sodium silicate modulus, alkali equivalent (Na₂O 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 than 10%. 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.

Key words: alkali-activated material, response surface methodology, compressive strength, flexural strength, setting time, fluidity

中图分类号:

TU526

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.

TIAN Ying, WU Shichao, LI Jingjun, SUN Keke. Optimization of Mix Ratio of Alkali-Activated Slag-Fly Ash Mortar Based on Response Surface Methodology[J]. BULLETIN OF THE CHINESE CERAMIC SOCIETY, 2024, 43(11): 4177-4184.

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