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Experimental Identification and Grading of Corrosion Defects in High-Tensile-Strength Steel Wires of Suspension Bridge Main Cables Based on Deep Learning
Yue Liu,
Mingyang Xi,
Bo Wang,
Lixin Duan,
Jianpeng Ding,
Clare Wood 
,
Ning Chen,
Yue Hou
,
Ning Chen,
Yue Hou
Journal of Materials in Civil Engineering, Volume: 38, Issue: 5
Swansea University Authors:
Clare Wood , Yue Hou
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Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1061/jmcee7.mteng-20711
Abstract
Experimental Identification and Grading of Corrosion Defects in High-Tensile-Strength Steel Wires of Suspension Bridge Main Cables Based on Deep Learning
| Published in: | Journal of Materials in Civil Engineering |
|---|---|
| ISSN: | 0899-1561 1943-5533 |
| Published: |
American Society of Civil Engineers (ASCE)
2026
|
| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71966 |
| College: |
Faculty of Science and Engineering |
|---|---|
| Funders: |
Natural Science Foundation of Chongqing, China (cstb2022nscq-msx1606) and the National Natural Science Foundation of China (NSFC 52178097). |
| Issue: |
5 |