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:13
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
所所应助阳光采纳,获得10
3秒前
YQ发布了新的文献求助10
3秒前
SIDEsss完成签到,获得积分10
3秒前
xinxin发布了新的文献求助30
3秒前
yuqiu发布了新的文献求助20
4秒前
慕青应助彩色的嚓茶采纳,获得10
4秒前
5秒前
马鸣骅完成签到,获得积分10
6秒前
6秒前
11完成签到,获得积分10
6秒前
molihuakai应助初景采纳,获得10
6秒前
slm完成签到,获得积分10
7秒前
7秒前
7秒前
9秒前
愉快的鸭发布了新的文献求助10
9秒前
9秒前
忧伤的心锁完成签到 ,获得积分10
10秒前
qlmian发布了新的文献求助30
11秒前
12秒前
12秒前
12秒前
lilili发布了新的文献求助10
14秒前
张欢馨应助阳光采纳,获得10
15秒前
wangxinxin完成签到,获得积分20
16秒前
16秒前
16秒前
小鹿完成签到,获得积分20
17秒前
17秒前
ckck完成签到,获得积分10
17秒前
yuli发布了新的文献求助10
18秒前
18秒前
初景发布了新的文献求助10
18秒前
yyyyyyyyy完成签到 ,获得积分10
18秒前
赘婿应助落寞碧蓉采纳,获得10
19秒前
19秒前
gao完成签到,获得积分10
20秒前
Eddie发布了新的文献求助10
20秒前
戚薇发布了新的文献求助10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Fourth Edition 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7586890
求助须知:如何正确求助?哪些是违规求助? 9165183
关于积分的说明 19614880
捐赠科研通 7167264
什么是DOI,文献DOI怎么找? 3266742
关于科研通互助平台的介绍 2431714
邀请新用户注册赠送积分活动 2258571