Real-time seismic response prediction method of high-rise buildings based on deep learning for earthquake early warning
Bibliographic Data
| ID | 22028653 |
|---|---|
| Authors | Qingle Cheng (0000-0001-5201-9828, Beijing University of Civil Engineering and Architecture), Haotian Ren (0009-0004-8243-3690, Beijing University of Civil Engineering and Architecture), Xiangchi Meng (0009-0001-4115-3770, Beijing University of Civil Engineering and Architecture), Aiqun Li (0000-0002-9090-952X, Beijing University of Civil Engineering and Architecture), Linlin Xie (0000-0003-3796-5271, Beijing University of Civil Engineering and Architecture, corresponding author) |
| Year | 2025 |
| Volume | 119 |
| Pages | 105294 |
| Publication date | 2025-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2025.105294 |
| OpenAlex | W4407367528 |
| Language | EN |
| References cited | 70 |
Earthquake prediction · Earthquake scenario · Earthquake warning system · Forensic engineering · High rise · Seismic hazard · Seismology · Structural engineering · Telecommunications · Urban seismic risk · Warning system · Computer Science · Earthquake Detection and Analysis · Engineering · Environmental Science · Seismic Waves and Analysis · Seismology and Earthquake Studies · Geology
Permutation importance
Optuna
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| Citation velocity | historical |
|---|---|
| Highly cited | No |