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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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    Identification of failure mechanisms for CFRP-confined circular concrete-filled steel tubular columns through acoustic emission signals

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    论文类型:期刊论文

    第一作者:Li, Dongsheng

    通讯作者:Wang, YL (reprint author), Dalian Univ Technol, Sch Civil Engn, Dalian 116024, Peoples R China.

    合写作者:Du, Fangzhu,Chen, Zhi,Wang, Yanlei

    发表时间:2016-09-01

    发表刊物:7th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII)

    收录刊物:SCIE、CPCI-S、Scopus

    卷号:18

    期号:3

    页面范围:525-540

    ISSN号:1738-1584

    关键字:acoustic emission; CFRP-CCFT column; clustering analysis; damage pattern recognition; health monitoring

    摘要:The CFRP-confmed circular concrete-filled steel tubular column is composed of concrete, steel, and CFRP. Its failure mechanics are complex. The most important difficulties are lack of an available method to establish a relationship between a specific damage mechanism and its acoustic emission (AE) characteristic parameter. In this study, AE technique was used to monitor the evolution of damage in CFRP-confmed circular concrete-filled steel tubular columns. A fuzzy c-means method was developed to determine the relationship between the AE signal and failure mechanisms. Cluster analysis results indicate that the main AE sources include five types: matrix cracking, debonding, fiber fracture, steel buckling, and concrete crushing. This technology can not only totally separate five types of damage sources, but also make it easier to judge the damage evolution process. Furthermore, typical damage waveforms were analyzed through wavelet analysis based on the cluster results, and the damage modes were determined according to the frequency distribution of AE signals.