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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
    • 电子邮箱:houjilin@dlut.edu.cn

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    Structural damage identification by adding virtual masses

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    论文类型:期刊论文

    第一作者:Hou, Jilin

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

    合写作者:Jankowski, Lukasz,Ou, Jinping

    发表时间:2013-07-01

    发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

    收录刊物:SCIE、EI、Scopus

    卷号:48

    期号:1

    页面范围:59-72

    ISSN号:1615-147X

    关键字:Structural health monitoring (SHM); Damage identification; Virtual distortion method (VDM); Virtual mass; Sensitivity analysis

    摘要:This paper presents a method for damage identification by adding virtual masses to the structure in order to increase its sensitivity to local damages. The main concept is based on the Virtual Distortion Method (VDM), which is a fast structural reanalysis method that employs virtual distortions or pseudo loads to simulate structural modifications. In this paper, the structure with an added virtual mass is called the virtual structure. First, the acceleration frequency response of the virtual structure is constructed numerically by the VDM using local dynamic data measured only by a single excitation sensor and a single acceleration sensor. Second, the value of the additional mass is determined via sensitivity analysis of the constructed frequency responses of the virtual structure with respect to damage parameters; only the natural frequencies with high sensitivity are selected. This process is repeated for all the considered placements of the virtual mass. At last, the selected natural frequencies of all the virtual structures are used together for damage identification of the real structure. A finite element (FE) model of a plane frame is used to introduce and verify the proposed method. The damage can be identified precisely and effectively even under simulated 5 % Gaussian noise pollution.