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    李冬生

    • 教授     博士生导师   硕士生导师
    • 主要任职:建设工程学院副院长
    • 其他任职:建设工程学部副部长、智能结构系统研究所所长
    • 性别:男
    • 毕业院校:哈尔滨工业大学
    • 学位:博士
    • 所在单位:建设工程学院
    • 学科:结构工程. 桥梁与隧道工程
    • 办公地点:土木工程学院综合4号楼311研究室
    • 联系方式:lidongsheng@dlut.edu.cn
    • 电子邮箱:lidongsheng@dlut.edu.cn

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    Cluster analysis of stress corrosion mechanisms for steel wires used in bridge cables through acoustic emission particle swarm optimization

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    论文类型:期刊论文

    第一作者:Li, Dongsheng

    通讯作者:Yang, W (reprint author), Fujian Acad Bldg Res, Fuzhou 350025, Peoples R China.

    合写作者:Yang, Wei,Zhang, Wenyao

    发表时间:2017-05-01

    发表刊物:ULTRASONICS

    收录刊物:SCIE、EI、PubMed

    卷号:77

    页面范围:22-31

    ISSN号:0041-624X

    关键字:Bridge cable; Stress corrosion; Acoustic emission; Particle swarm; Cluster analysis

    摘要:Stress corrosion is the major failure type of bridge cable damage. The acoustic emission (AE) technique was applied to monitor the stress corrosion process of steel wires used in bridge cable structures. The damage evolution of stress corrosion in bridge cables was obtained according to the AE characteristic parameter figure. A particle swarm optimization cluster method was developed to determine the relationship between the AE signal and stress corrosion mechanisms. Results indicate that the main AE sources of stress corrosion in bridge cables included four types: passive film breakdown and detachment of the corrosion product, crack initiation, crack extension, and cable fracture. By analyzing different types of clustering data, the mean value of each damage pattern's AE characteristic parameters was determined. Different corrosion damage source AE waveforms and the peak frequency were extracted. AE particle swarm optimization cluster analysis based on principal component analysis was also proposed. This method can completely distinguish the four types of damage sources and simplifies the determination of the evolution process of corrosion damage and broken wire signals. (C) 2017 Published by Elsevier B.V.