固废基复合胶凝材料配比优化设计及协同效应研究

硅酸盐通报 ›› 2023, Vol. 42 ›› Issue (12): 4368-4377.

固废基复合胶凝材料配比优化设计及协同效应研究

朱增超¹, 刘贤平², 水中和^1,3, 高旭⁴, 黄赟¹, 郑武¹, 葛叶鑫¹

1.武汉理工大学硅酸盐建筑材料国家重点实验室,武汉 430070;
2.湖北合力久盛混凝土有限公司,武汉 430200;
3.中山市武汉理工大学先进工程技术研究院,中山 528437;
4.武汉理工大学土木工程与建筑学院,武汉 430070

收稿日期:2023-08-01 修订日期:2023-09-22 出版日期:2023-12-15 发布日期:2023-12-12
通信作者: 水中和,博士,教授。E-mail:zhshui@whut.edu.cn
作者简介:朱增超(1998—),男,硕士研究生。主要从事固体废弃物资源化利用方面的研究。E-mail:18700746426@163.com
基金资助:
广东省中山市科技创新领军人才项目(LJ2021002);校企合作项目“武汉理工大学-合力久盛先进水泥基材料研究中心”(20221h0578)

Mix Ratio Optimization Design and Synergistic Effect Study of Multi-Source Solid Waste Binders

ZHU Zengchao¹, LIU Xianping², SHUI Zhonghe^1,3, GAO Xu⁴, HUANG Yun¹, ZHENG Wu¹, GE Yexin¹

1. State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, China;
2. Hubei Heli Jiusheng Concrete Co., Ltd.,Wuhan 430200, China;
3. Wuhan University of Technology Advanced Engineering Technology Research Institute of Zhongshan City, Zhongshan 528437, China;
4. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China

Received:2023-08-01 Revised:2023-09-22 Online:2023-12-15 Published:2023-12-12

摘要/Abstract

摘要： 利用多种固废协同制备固废基复合胶凝材料(MSSWB)是固废资源化利用的有效途径,然而,相对复杂的原材料组成和较低的力学性能限制了MSSWB的应用。本文首先借助D-optimal设计方法设计了100组实验配比作为数据集,然后创建了PSO-BP模型用于MSSWB力学性能的预测,并通过粒子群优化算法(PSO)确定了各原材料的最佳质量配比,最后采用XRD、TG-DTG和NMR等微观分析方法研究了MSSWB的水化产物以及多元固废之间的协同效应。结果表明:PSO-BP模型可有效预测胶凝材料的抗压强度,经粒子群优化算法优化后的配比强度明显高于未优化配比强度,最优配比组的28 d胶砂抗压强度较未优化配比组提高了20.8%;优化配比组的较高强度主要与水化产物钙矾石和C-S-H凝胶生成量较多且水化产物之间的交联度较高有关,这表明各原材料配比优化之后,其协同效应更加明显。

关键词: 胶凝材料, 固废, D-optimal设计, PSO-BP模型, 协同效应, 力学性能

Abstract: The synergistic preparation of multi-source solid waste binders (MSSWB) using multiple solid wastes is an effective way to utilize solid waste resources. However, the relatively complex raw material composition and low mechanical properties limit the application of MSSWB. 100 sets of experimental mix ratios were designed as a data set with the help of D-optimal design method, then PSO-BP was created model for the prediction of the mechanical properties of MSSWB, and the optimal mix ratios of each raw material were determined by particle swarm optimization algorithm (PSO), and finally the hydration products of MSSWB products and the synergistic effect between multiple solid wastes were investigated by microscopic analyses such as XRD, TG-DTG and NMR. The results show that the PSO-BP model can effectively predict the compressive strength of binders, and the mix ratio strength after optimization by the particle swarm optimization algorithm is significantly higher than that of the unoptimized mix ratio strength, the 28 d compressive strength of the cementitious sand in the optimal mix ratio group is 20.8% higher than that of the unoptimized ratio group. The formation of the higher strength in the optimized mix ratio group is mainly related to the higher generation of hydration products of ettringite (AFt) and C-S-H gels. The formation of higher strength in the optimized mix ratio group is mainly related to the higher generation of the hydration products AFt and C-S-H gel and the higher cross-linking degree between the hydration products. This proves that the synergie is even more pronounced when the ratios of the raw materials are optimised.

Key words: binder, solid waste, D-optimal design, PSO-BP method, synergistic effect, mechanical property

中图分类号:

TU526

朱增超, 刘贤平, 水中和, 高旭, 黄赟, 郑武, 葛叶鑫. 固废基复合胶凝材料配比优化设计及协同效应研究[J]. 硅酸盐通报, 2023, 42(12): 4368-4377.

ZHU Zengchao, LIU Xianping, SHUI Zhonghe, GAO Xu, HUANG Yun, ZHENG Wu, GE Yexin. Mix Ratio Optimization Design and Synergistic Effect Study of Multi-Source Solid Waste Binders[J]. BULLETIN OF THE CHINESE CERAMIC SOCIETY, 2023, 42(12): 4368-4377.

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