Compressive strength evaluation and predictive modeling of mortar incorporating zirconia and rice husk ash using ensemble machine learning
Abstract In the context of sustainable construction, this study quantifies and predicts the compressive strength of cement mortar incorporating zirconia (ZrO₂) as a partial cement replacement (1–5% by mass) and rice husk ash (RHA) as a partial sand replacement (10–50% by mass). Mortars were proporti...
שמור ב:
| Principais autores: | , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
SpringerOpen
2025-09-01
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| סדרה: | Journal of Infrastructure Preservation and Resilience |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1186/s43065-025-00149-9 |
| תגים: |
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