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    Multisource Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In Situ Bridge Cable Wires

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    JBENF2.BEENG-8078.pdf (40.73Mb)
    Date
    2026
    Author
    Zhang, He
    Xin, Yuchen
    Yao, Linjie
    Zheng, Xianglong
    Zhang, Zhicheng
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    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 ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314350
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