A swift neural network-based algorithm for demand estimation in concrete moment-resisting buildings
Rapid evaluation of demand parameters of different types of buildings is crucial for social restoration after damaging earthquakes. Previous studies proposed numerous methodologies to measure the performance of buildings for assessing the potential risk under the seismic hazard. However, time-consu...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
K. N. Toosi University of Technology
2021-11-01
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| Series: | Numerical Methods in Civil Engineering |
| Subjects: | |
| Online Access: | https://nmce.kntu.ac.ir/article_160563_87848dcfd4405ba076480b1d2e9a44b3.pdf |
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