Application of Machine Learning for Predicting Seismic Damage in Base-Isolated Reinforced Concrete Buildings
Base isolation is known as a useful and popular technique for seismic upgrading of reinforced concrete buildings. Predicting damage levels based on relative inter-story drift plays an important role for designing optimal base isolation systems. However, the existing codes usually rely on the acceler...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2026-01-01
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| Colección: | CivilEng |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2673-4109/7/1/4 |
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