Equation-driven strength prediction of GGBS concrete: a symbolic machine learning approach for sustainable development
The growing demand for low-carbon construction materials highlights the need to predict and optimise the performance of Ground Granulated Blast-Furnace Slag (GGBS) concrete with high accuracy. This study aims to develop reliable and interpretable predictive models for estimating the compressive stre...
Kaydedildi:
| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
De Gruyter
2025-12-01
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| Seri Bilgileri: | Reviews on Advanced Materials Science |
| Konular: | |
| Online Erişim: | https://doi.org/10.1515/rams-2025-0183 |
| Etiketler: |
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