Machine learning prediction models for ground motion parameters and seismic damage assessment of buildings at a regional scale
This study examines the feasibility of using a machine learning approach for rapid damage assessment of reinforced concrete (RC) buildings after the earthquake. Since the real-world damaged datasets are lacking, have limited access, or are imbalanced, a simulation dataset is prepared by conducting a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Resilient Cities and Structures |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772741624000048 |