Multisource Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In Situ Bridge Cable Wires
View/ Open
Date
2026Author
Zhang, He
Xin, Yuchen
Yao, Linjie
Zheng, Xianglong
Zhang, Zhicheng
Metadata
Show full item recordAbstract
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 ...