Probabilistic seismic performance estimation through surrogate model and unbiased multi‐fidelity Monte Carlo predictor
Abstract This study introduces an approach for probabilistic seismic performance estimation, which focuses on the probability of intensity measures exceeding a specified value based on engineering demand parameters. Conventional methods face challenges owing to the increase in computational costs as...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Wiley
2024-01-01
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| Seria: | Japan Architectural Review |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1002/2475-8876.70002 |
| Etykiety: |
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