| dc.contributor.author | Liu, Yue | |
| dc.contributor.author | Xi, Mingyang | |
| dc.contributor.author | Wang, Bo | |
| dc.contributor.author | Duan, Lixin | |
| dc.contributor.author | Ding, Jianpeng | |
| dc.contributor.author | Wood, Clare | |
| dc.contributor.author | Chen, Ning | |
| dc.contributor.author | Hou, Yue | |
| dc.date.accessioned | 2026-08-20T11:33:35Z | |
| dc.date.available | 2026-08-20T11:33:35Z | |
| dc.date.copyright | 2026/02/26 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JMCEE7.MTENG-20711.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312373 | |
| dc.description.abstract | AbstractThe primary load-bearing structures of suspension bridges are the main cables, which
are constructed with high-tensile-strength steel wires. Throughout the service life
of a suspension bridge, the main cables not only endure cyclic loading from ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Experimental Identification and Grading of Corrosion Defects in High-Tensile-Strength Steel Wires of Suspension Bridge Main Cables Based on Deep Learning | |
| dc.type | Journal Article | |
| dc.journal.volume | 38 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Materials in Civil Engineering | |
| dc.identifier.doi | 10.1061/JMCEE7.MTENG-20711 | |
| dc.journal.fristpage | 04026086-1 | |
| dc.journal.lastpage | 04026086-12 | |
| dc.page | 12 | |
| dc.tree | Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 005 | |
| dc.contenttype | Fulltext | |
