| contributor author | Zhang, He | |
| contributor author | Xin, Yuchen | |
| contributor author | Yao, Linjie | |
| contributor author | Zheng, Xianglong | |
| contributor author | Zhang, Zhicheng | |
| date accessioned | 2026-08-20T21:22:15Z | |
| date available | 2026-08-20T21:22:15Z | |
| date copyright | 2026/05/21 | |
| date issued | 2026 | |
| identifier other | JBENF2.BEENG-8078.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314350 | |
| description abstract | Abstract Extreme pitting depths in bridge cable steel wires serve as fatigue crack initiation
sites, making accurate assessment crucial for failure risk prediction. Existing methods
require rust removal and cable disassembly, which not only disrupts ... | |
| publisher | American Society of Civil Engineers | |
| title | Multisource Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In Situ Bridge Cable Wires | |
| type | Journal Article | |
| journal volume | 31 | |
| journal issue | 8 | |
| journal title | Journal of Bridge Engineering | |
| identifier doi | 10.1061/JBENF2.BEENG-8078 | |
| journal fristpage | 04026037-1 | |
| journal lastpage | 04026037-18 | |
| page | 18 | |
| tree | Journal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 008 | |
| contenttype | Fulltext | |
