Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach
Abstract This study investigates the effects of strength and durability of concrete for different water-cement ratios, aggregate contents, and partial replacement of biomedical waste ash at 5%, 10%, 15%, 20%, and 25% by weight of cement. At 7, 14, and 28 days, the control mix showed inferior mechani...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-02-01
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| Series: | Discover Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43939-025-00223-9 |
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