Journals
Publish with us
Publishing partnerships
About us
Blog
Advances in Civil Engineering
Journal overview
For authors
For reviewers
For editors
Table of Contents
Special Issues
Advances in Civil Engineering
/
2021
/
Article
/
Tab 1
/
Research Article
A New Artificial Neural Network Model for the Prediction of the Effect of Molar Ratios on Compressive Strength of Fly Ash-Slag Geopolymer Mortar
Table 1
Chemical composition of fly ash and GGBFS.
Chemical composition
Component (wt%)
FA
GGBFS
SiO
2
61.53
33.81
Al
2
O
3
25.19
19.52
Fe
2
O
3
5.39
0.49
CaO
1.31
35.22
MgO
0.63
6.68
SO
3
0.82
1.40
Na
2
O
0.39
0.34
TiO
2
0.65
0.94
MnO
0.30
0.96
K
2
O
0.23
0.44
LOI
0.95
0.11
Loss on ignition.