| contributor author | Wang, Zhi-wei | |
| contributor author | Zhang, Wen-ming | |
| contributor author | Lu, Xiao-fan | |
| contributor author | Fragkoulis, Vasileios C. | |
| contributor author | Beer, Michael | |
| date accessioned | 2026-08-20T21:21:15Z | |
| date available | 2026-08-20T21:21:15Z | |
| date copyright | 2025/11/19 | |
| date issued | 2026 | |
| identifier other | JBENF2.BEENG-7818.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314330 | |
| description abstract | Abstract A data-driven predictive model for dynamic deflection response can aid the safe operation
and maintenance of a suspension bridge. In particular, it lays the groundwork for
bridge condition assessment and damage detection, dynamic reliability ... | |
| publisher | American Society of Civil Engineers | |
| title | Deep-Learning Framework for Dynamic Deflection Prediction of Suspension Bridges under Temperature, Traffic, and Wind Loads | |
| type | Journal Article | |
| journal volume | 31 | |
| journal issue | 2 | |
| journal title | Journal of Bridge Engineering | |
| identifier doi | 10.1061/JBENF2.BEENG-7818 | |
| journal fristpage | 04025100-1 | |
| journal lastpage | 04025100-21 | |
| page | 21 | |
| tree | Journal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 002 | |
| contenttype | Fulltext | |
