Local Damage Detection with the Global Fitting Method Using Mode Shape Data in Notched Beams

被引:1
|
作者
Myung-Keun Yoon
Dirk Heider
John W. Gillespie
Colin P. Ratcliffe
Roger M. Crane
机构
[1] South Dakota School of Mines and Technology,Department of Mechanical Engineering
[2] University of Delaware,Department of Electrical and Computer Engineering, Center for Composite Materials
[3] University of Delaware,Department of Material Science & Engineering, Department of Civil & Environmental Engineering, Center for Composite Materials
[4] United States Naval Academy,Department of Mechanical Engineering
[5] Naval Surface Warfare Center,undefined
[6] Carderock Division,undefined
[7] Code 6553,undefined
来源
Journal of Nondestructive Evaluation | 2009年 / 28卷
关键词
Vibration; Damage detection; Global fitting method; Natural frequency; Mode shape; Structural irregularity index;
D O I
暂无
中图分类号
学科分类号
摘要
Damage in a structure alters its dynamic characteristics such as frequency response functions and modal parameters. The present study extends the ‘gapped smoothing method’ for identifying the location of structural damage in a beam by introducing the ‘global fitting method.’ The procedure uses only the mode shape data obtained from a damaged structure with an assumption that the undamaged structure is homogeneous and uniform and the damage size is small. The sensitivity of damage detection algorithm is evaluated using a finite element analysis (FEA) of a few beams having a notch. Structural irregularity index (SSI) was used to identify the locations and size of damage. The ability to detect damage was enhanced by averaging SSI over a few modes. A statistical procedure was applied to identify damage with respect to background noise. A methodology and quantitative criteria was developed to select the optimum excitation grid spacing. Numerical results showed that the present method can detect both narrow (13 mm width) and wide damage (126 mm width) associated with less than 3% local thickness reductions. Experimental results validated the numerical results and detected the depth to thickness ratio about 41% and 35% for the wide and narrow notch beams, respectively. The present method showed improved resolution on detecting the location and size of damage in a beam over the previous methods using mode shape data reported in literature.
引用
收藏
页码:63 / 74
页数:11
相关论文
共 50 条
  • [31] A novel and efficient method for damage detection in beam-like structures solely based on damaged structure data and using mode shape curvature estimation
    Pooya, Seyed Majid Hosseini
    Massumi, Ali
    APPLIED MATHEMATICAL MODELLING, 2021, 91 : 670 - 694
  • [32] Experimental damage identification using modified mode shape difference
    Elshafey A.A.
    Marzouk H.
    Haddara M.R.
    Journal of Marine Science and Application, 2011, 10 (2) : 150 - 155
  • [33] Damage Detection of Composite Beams via Variational Mode Decomposition of Shear-Slip Data
    Sadeghi, Faraz
    Mousavi, Mohsen
    Zhu, Xinqun
    Rashidi, Maria
    Samali, Bijan
    Gandomi, Amir H.
    JOURNAL OF STRUCTURAL ENGINEERING, 2023, 149 (01)
  • [34] The Fourier Coefficient Method for Damage Detection in Beams
    Morassi, A.
    PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY, 2010, 93
  • [35] Damage Detection of Cantilever Beams based on Derivatives of Mode Shapes
    Guo, Jinquan
    Ou, Fenlan
    Zhong, Jianfeng
    Zhong, Shuncong
    Yang, Xiaoxiang
    Yao, Ligang
    MATERIALS SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY, PTS 1 AND 2, 2014, 488-489 : 817 - 820
  • [36] Damage identification in beams using empirical mode decomposition
    Rezaei, Davood
    Taheri, Farid
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2011, 10 (03): : 261 - 274
  • [37] Mode shape area difference method for sparse damage detection in beam-like structures
    Pajan, Jurica
    Duvnjak, Ivan
    Bartolac, Marko
    Ereiz, Suzana
    STRUCTURAL CONCRETE, 2024,
  • [38] Damage detection of a thin plate using pseudo local flexibility method
    Hsu, Ting Yu
    Liu, Chao Lun
    EARTHQUAKES AND STRUCTURES, 2018, 15 (05) : 463 - 471
  • [39] Data-driven method of damage detection using sparse sensors installation by SEREPa
    Ghannadi, Parsa
    Kourehli, Seyed Sina
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2019, 9 (04) : 459 - 475
  • [40] A structural damage detection method using static noisy data
    Bakhtiari-Nejad, F
    Rahai, A
    Esfandiari, A
    ENGINEERING STRUCTURES, 2005, 27 (12) : 1784 - 1793