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  5. A mix design methodology of blast furnace slag and fly ash-based alkali-activated concrete

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Article
en
2023

A mix design methodology of blast furnace slag and fly ash-based alkali-activated concrete

0 Datasets

0 Files

en
2023
Vol 140
Vol. 140
DOI: 10.1016/j.cemconcomp.2023.105076

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Ye Guang
Ye Guang

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Beibei Sun
Yubo Sun
Ye Guang
+1 more

Abstract

Although the application of blast furnace slag and fly ash-based alkali-activated concrete (BFS/FA-AAC) has both economic and environmental benefits, it is limited by the lack of a straightforward mix design method. In this paper, an experiment was conducted to investigate the effect of control factors, including the Na2O/binder ratio, the SiO2/Na2O ratio, the BFS/binder ratio, the water/binder ratio, and the water content on the workability (slump and rheology) of BFS/FA-AAC, and the effect of control factors include the Na2O/binder ratio, the SiO2/Na2O ratio, the BFS/binder ratio, the water/binder ratio, and the curing time on the compressive strength of BFS/FA-AAC. As a result, the influence degree and mechanism of each control factor on the performance of BFS/FA-AAC were quantitively explored and the accuracy of an empirical compressive strength formula was validated. Based on that, a practical mix design method of BFS/FA-AAC was eventually established. It is found that the mixture composition and content of paste can significantly influence the workability of BFS/FA-AAC. The compressive strength of BFS/FA-AAC is determined by control factors when the water content is within 160–195 kg/m3. The mechanical predictive method of BFS/FA-AAC is proven of high accuracy. The mixture designed by this methodology exhibits satisfied fresh and hardened performance as well as high environmental benefits.

How to cite this publication

Beibei Sun, Yubo Sun, Ye Guang, Geert De Schutter (2023). A mix design methodology of blast furnace slag and fly ash-based alkali-activated concrete. , 140, DOI: https://doi.org/10.1016/j.cemconcomp.2023.105076.

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Publication Details

Type

Article

Year

2023

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.cemconcomp.2023.105076

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