Crack pattern–based machine learning prediction of residual drift capacity in damaged masonry walls
| Author(s): |
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: | journal article |
| Language(s): | English |
| Published in: | Computer-Aided Civil and Infrastructure Engineering |
| DOI: | 10.1111/mice.13212 |
- About this
data sheet - Reference-ID
10784663 - Published on:
20/06/2024 - Last updated on:
20/06/2024
Structurae cooperates with
