Estimation of virtual masses for structural damage identification

被引:4
|
作者
Hou, Jilin [1 ,2 ]
Li, Zhenkun [1 ,2 ]
Jankowski, Lukasz [3 ]
Wang, Sijie [4 ]
机构
[1] Dalian Univ Technol, Dept Civil Engn, 2 Linggong Rd, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, 2 Linggong Rd, Dalian 116024, Peoples R China
[3] Polish Acad Sci, Inst Fundamental Technol Res, Warsaw, Poland
[4] Guangzhou Design Inst, Guangzhou, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
damage identification; frequency response; structural health monitoring (SHM); virtual distortion method (VDM); virtual mass;
D O I
10.1002/stc.2585
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Adding a virtual mass is an effective method for damage identification. It can be used to obtain a large amount of information about structural response and dynamics, thereby improving the sensitivity to local damage. In the current research approaches, the virtual mass is determined first, and then the modal characteristics of the virtually modified structure are identified. This requires a wide frequency band excitation; otherwise the crucial modes of the modified structure might be out of the band, which would negatively influence the modal analysis and damage identification. This paper proposes a method that first determines the target frequency and then estimates the corresponding value of the additional virtual mass. The target frequency refers to the desired value of the natural frequency after the virtual mass has been added to the structure. The virtual masses are estimated by tuning the frequency response peaks to the target frequencies. First, two virtual mass estimation methods are proposed. One is to directly calculate the virtual mass, using the frequency-domain response at the target frequency point only, whereas the second method estimates the mass using a least-squares fit based on the frequency-domain response around the target frequency. Both proposed methods utilize merely a small part of the frequency domain. Therefore, an impulse, a simple harmonic, or a narrow spectral excitation can be used for damage identification. Finally, a numerical simulation of a simply supported beam and experiments of a frame structure and a truss structure are used to verify the effectiveness of the proposed method.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Structural damage identification by adding virtual masses
    Hou, Jilin
    Jankowski, Lukasz
    Ou, Jinping
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2013, 48 (01) : 59 - 72
  • [2] Structural damage identification by adding virtual masses
    Jilin Hou
    Łukasz Jankowski
    Jinping Ou
    [J]. Structural and Multidisciplinary Optimization, 2013, 48 : 59 - 72
  • [3] Optimal Placement of Virtual Masses for Structural Damage Identification
    Hou, Jilin
    Li, Zhenkun
    Zhang, Qingxia
    Zhou, Runfang
    Jankowski, Lukasz
    [J]. SENSORS, 2019, 19 (02)
  • [4] Structural damage identification based on estimated additional virtual masses and Bayesian theory
    Zhenkun Li
    Jilin Hou
    Łukasz Jankowski
    [J]. Structural and Multidisciplinary Optimization, 2022, 65
  • [5] Structural damage identification based on estimated additional virtual masses and Bayesian theory
    Li, Zhenkun
    Hou, Jilin
    Jankowski, Lukasz
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (02)
  • [6] Simultaneous identification of moving masses and structural damage
    Zhang, Qingxia
    Jankowski, Lukasz
    Duan, Zhongdong
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2010, 42 (06) : 907 - 922
  • [7] Simultaneous identification of moving masses and structural damage
    Qingxia Zhang
    Łukasz Jankowski
    Zhongdong Duan
    [J]. Structural and Multidisciplinary Optimization, 2010, 42 : 907 - 922
  • [8] Structural damage identification by adding given masses
    Yang, Qiu-Wei
    Liu, Ji-Ke
    [J]. Gongcheng Lixue/Engineering Mechanics, 2009, 26 (05): : 159 - 163
  • [9] Pipeline Damage Identification Based on Additional Virtual Masses
    Li, Dongsheng
    Lu, Dang
    Hou, Jilin
    [J]. APPLIED SCIENCES-BASEL, 2017, 7 (10):
  • [10] Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses
    Hou, Jilin
    Wang, Pengfei
    Jing, Tianyu
    Jankowski, Lukasz
    [J]. SENSORS, 2019, 19 (02):