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Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash.
- Source :
- Journal of Building Pathology & Rehabilitation; 1/28/2025, Vol. 10 Issue 1, p1-25, 25p
- Publication Year :
- 2025
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