Crack pattern–based machine learning prediction of residual drift capacity in damaged masonry walls
| Autor(en): |
Mauricio Pereira
(Department of Civil and Environmental Engineering Princeton University New Jersey USA)
Antonio Maria D'Altri (Department of Civil and Environmental Engineering Princeton University New Jersey USA) Stefano de Miranda (Department of Civil, Chemical, Environmental, and Materials Engineering University of Bologna Bologna Italy) Branko Glisic (Department of Civil and Environmental Engineering Princeton University New Jersey USA) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering |
| DOI: | 10.1111/mice.13212 |
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Datenseite - Reference-ID
10784663 - Veröffentlicht am:
20.06.2024 - Geändert am:
20.06.2024
Structurae kooperiert mit
