Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash.

Details

Language :

English

ISSN :

23653159

Volume :

10

Issue :

1

Database :

Complementary Index

Journal :

Journal of Building Pathology & Rehabilitation

Publication Type :

Academic Journal

Accession number :

182538390

Full Text :

https://doi.org/10.1007/s41024-025-00573-0