Novel formula design of alkali-activated slag solidified construction spoil considering flowability and compressive strength

被引:0
|
作者
Shen, Jianyu [1 ]
Xiao, Jianzhuang [1 ,2 ,3 ]
Ye, Taohua [1 ]
Li, Shuisheng [4 ]
机构
[1] Tongji Univ, Coll Civil Engn, Shanghai 200092, Peoples R China
[2] Guangxi Univ, Inst Sci & Technol Carbon Peak & Neutral, Nanning 530004, Peoples R China
[3] Guangxi Univ, Coll Civil Engn & Architecture, Nanning 530004, Peoples R China
[4] China Construct Fifth Engn Bur Co Ltd, Changsha 410004, Peoples R China
来源
关键词
Construction spoil; Alkali-activated slag; Clay content; Flowability; Formula design method; FLY-ASH; CEMENT; STABILIZATION; CLAYS; SOILS;
D O I
10.1016/j.jobe.2024.110517
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To decrease the environmental impact and increase the high-quality resource utilization of construction spoil (CS), the alkali-activated slag (AAS) was selected to solidify CS and prepare solidified construction spoil (SCS). SCS with certain working and mechanical properties can be used as building materials, such as unsintered bricks. However, the preparation of SCS is inefficient, mainly because the properties of SCS are affected by various factors, and the formula is difficult to determine. This study intensively investigated the effects of the liquid-solid ratio (W/ (B + S)), clay content of CS, and binder-soil ratio (B/S) on the flowability and compressive strength of SCS. It was found that W/(B + S) was the main factor controlling compressive strength, and both W/(B + S) and clay content significantly affected the flowability of SCS. Based on an assumption for the flowability prediction method and the relationship between flowability and liquid-solid ratio of CS, AAS, and SCS, a method to predict the flowability of SCS was proposed and validated. Additionally, the extended Abrams' law was applied to fit the compressive strength variation of SCS. Combining the flowability prediction method and the extended Abrams' law, a novel formula design method for SCS was proposed and proven effective in validation experiments.
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页数:16
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