Predicting the Temperature Regime in Hardening Massive Monolithic Walls Using CatBoost Gradient Boosting
Thermal cracking due to hydration heat in massive monolithic walls poses a significant risk, but traditional prediction methods are often too complex for rapid engineering assessments. This study aims to develop machine learning models to predict the maximum temperature and center-to-surface tempera...
Kaydedildi:
| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2026-06-01
|
| Seri Bilgileri: | Buildings |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2075-5309/16/12/2287 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|