| contributor author | Zhang, Hui | |
| contributor author | Yu, Dinghao | |
| contributor author | Li, Gang | |
| contributor author | Dong, Zhiqian | |
| date accessioned | 2026-08-20T12:15:33Z | |
| date available | 2026-08-20T12:15:33Z | |
| date copyright | 2025/07/11 | |
| date issued | 2025 | |
| identifier other | JSENDH.STENG-13993.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313287 | |
| description abstract | AbstractIn traditional fragility analysis for regional damage assessment, low-dimensional
intensity measures (IMs), such as peak ground acceleration (PGA), are typically chosen
to characterize ground motion (GM) and predict structural damage based on the ... | |
| publisher | American Society of Civil Engineers | |
| title | A Feature Selection Framework for Ground Motion Intensity Measures in the Rapid Seismic Damage Prediction of Structures Based on Ensemble Learning | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 9 | |
| journal title | Journal of Structural Engineering | |
| identifier doi | 10.1061/JSENDH.STENG-13993 | |
| journal fristpage | 04025141-1 | |
| journal lastpage | 04025141-24 | |
| page | 24 | |
| tree | Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 009 | |
| contenttype | Fulltext | |
