A novel multi-criteria comprehensive evaluation model of fly ash-based geopolymer concrete

托普西斯 粉煤灰 耐久性 多准则决策分析 抗压强度 排名(信息检索) 聚合物 生命周期评估 环境科学 硫酸盐 计算机科学 材料科学 数学 复合材料 运筹学 机器学习 宏观经济学 经济 冶金 生产(经济)
作者
Yanlin Li,Xiaoshuang Shi,Ying Feng,Yanpeng Su,Yuhao Zhang,Yunhui Pu,Qingyuan Wang
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:396: 132253-132253 被引量:6
标识
DOI:10.1016/j.conbuildmat.2023.132253
摘要

Fly ash-based geopolymer concrete (FA-GPC), which has better early mechanical properties, durability and environmental impact, is recognized as a low-carbon concrete that has a high potential to replace ordinary Portland cement concrete. Although scholars have analyzed the mechanical properties, durability performance and environmental impact of FA-GPC independently, few studies have considered the above properties comprehensively to guide the material selection. In this study, choosing compressive strength, sulfate erosion resistance and environmental impact, including global warming potential (GWP), acidification potential (AP), primary energy depletion (PED), as evaluation indicators to be tested and analyzed with 9 different mixtures by Life Cycle Assessment (LCA) method. Based on the gray clustering analysis (GCA) method, we established a comprehensive evaluation model, then applied the commonly used Multi-criteria decision-making (MCDM) methods, namely TOPSIS and VIKOR, to observe the conclusions of the different evaluation methods. The results indicated that: (1) Experiments on compressive strength and sulfate erosion resistance and analysis of environmental impact show that FA-GPC has good sulfate erosion resistance, the alkaline activated solution is not only the most significant factor affecting the compressive strength, but also the biggest contributor to the environmental impact. (2) The evaluation models developed successfully selected the optimal mix ratio for a given function. Although the ordering of the three methods is not the same, because they have different optimization and ranking mechanisms of GCA, TOPSIS, and VIKOR, they come to the same conclusion indicating alternative A3 is optimal. The ranking of alternatives is influenced by the preferences of decision-makers, especially those at the intermediate level.
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