周晶

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连工学院

学位:博士

所在单位:水利工程系

电子邮箱:zhouj@dlut.edu.cn

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Structural Condition Identification for Free Spanning Submarine Pipelines

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论文类型:会议论文

发表时间:2008-07-06

收录刊物:EI、CPCI-S、Scopus

页面范围:255-260

关键字:Structural condition identification; free spanning submarine pipeline; nonlinear kernel discirminant analysis; condition-sensitive featue

摘要:The operational performance of the free spanning submarine pipeline is closely related to the structural condition. However, due to the underwater environment and condition evolution, it is very difficult to exactly obtain the information about the structural condition of the free spanning submarine pipeline. In this paper, we propose a novel methodology to identify the structural condition with the vibration responses of the free spanning submarine pipelines. Firstly, the nonlinear kernel discirminant analysis (KDA) was adopted to identify the structural condition of the free spanning submarine pipelines. Secondly, the condition-sensitive features, such as natural frequencies, normalized frequencies and frequency change ratios, were proposed in the study. Finally, the feasibility and effectiveness of the proposed approach was numerically studied. The analytical results demonstrate that the proposed approach can identify effectively each condition of free span for on-line monitoring of the submarine pipelines.