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    侯吉林

    • 副教授     博士生导师 硕士生导师
    • 性别:男
    • 毕业院校:哈尔滨工业大学
    • 学位:博士
    • 所在单位:土木工程系
    • 学科:结构工程
    • 办公地点:建设工程学院4号楼433
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    A substructure isolation method for local structural health monitoring

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      发布时间:2019-10-21

      论文类型:期刊论文

      发表时间:2011-10-01

      发表刊物:STRUCTURAL CONTROL & HEALTH MONITORING

      收录刊物:EI、SCIE

      卷号:18

      期号:6

      页面范围:601-618

      ISSN号:1545-2255

      关键字:substructure isolation; damage identification; virtual distortion method (VDM); structural health monitoring; adjoint variable method

      摘要:This paper describes an effective method of substructure isolation for local structural health monitoring (SHM). In practice, often only a small part of a larger structure is critical and needs monitoring. However, typical low-frequency SHM methods require modeling and analysis of the global structure, which can be costly, time-consuming and error-prone. The proposed approach is based on the virtual distortion method (VDM) and uses force distortions to model fixed supports in the boundary nodes to isolate the considered substructure from influences of the rest of the structure. Therefore, given an excitation of the substructure and the measured response of the global structure, the response of the substructure treated as fixed supported can be computed. Local-only monitoring is then possible using virtually any of the existing methods. However, consistently with the isolation methodology, strain distortions are used here for modeling of damages of the isolated substructure. The discrete adjoint variable method is used for the first time within the framework of the VDM in order to perform fast analytical sensitivity analysis and improve the computational effectiveness of the damage identification by one order of magnitude. A numerical example of a frame-truss with 5 and 10% noise level and an experiment of a cantilever beam are presented to validate the isolation methodology. Copyright (C) 2010 John Wiley & Sons, Ltd.