Acta Optica Sinica, Volume. 44, Issue 19, 1912001(2024)

Dynamic Structural Damage Localization Based on Digital Image Correlation

Yuchen Wei, Jiechun Weng, Penglong Wang, Bing Chen, Zeren Gao, and Yu Fu*
Author Affiliations
  • College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection, State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, Guangdong , China
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    Figures & Tables(15)
    Schematic diagram of 3D-DIC
    Schematic diagram of DIC noise frequency domain decoupling
    Schematic diagrams of damage detection experimental setup and stroboscopic down-sampling strategy. (a) Schematic diagram of experimental setup; (b) schematic diagram of stroboscopic down-sampling
    Schematic diagrams of cantilever plates. (a) Cantilever plate Ⅰ; (b) cantilever plate Ⅱ
    Fourier spectra of vibration response. (a) Fourier spectrum of sample I; (b) Fourier spectrum of sample II
    Flow chart of structural damage detection method
    Modal shape of cantilever plate I. (a) DIC measurement results; (b) bandpass filtering for noise reduction of DIC measurement results; (c) Ansys simulation results
    Modal assurance criterion. (a) 2D plot of modal assurance criterion; (b) 3D plot of modal assurance criterion
    Damage detection of cantilever plate I. (a) DIC measured modal shape and Chebyshev polynomials fitting results; (b) damage detection results of DIC measurement data; (c) DIC measured modal shape after noise decoupling and Chebyshev polynomials fitting results; (d) damage detection results of DIC measurement data after noise decoupling
    Damage detection of cantilever plate I. (a) Modal shapes of DIC data; (b) residuals based damage detection results with DIC data; (c) modal shapes of filtered DIC data; (d) residuals based damage detection results of filtered DIC data
    Damage detection of cantilever plate II. (a) Modal shapes of DIC data; (b) residuals based damage detection results with DIC data; (c) modal shapes of filtered DIC data; (d) residuals based damage detection results with filtered DIC data
    • Table 1. Calibration parameters of binocular camera

      View table

      Table 1. Calibration parameters of binocular camera

      CameraLeft cameraRight camera
      Intrinsic matrix6487.310989.2006486.511006.660016477.7001013.7806477.741009.42001
      Extrinsic matrixRotation matrix R=0.9497640.0002790.3126050.0000710.999999-0.000588-0.3137530.0026340.950314, translation vector T=-258.06-1.2340.7976
    • Table 2. Details of sample and defect

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      Table 2. Details of sample and defect

      SampleMaterialSample size /(mm×mm×mm)Defect size /(mm×mm)Natural frequencies 1st‒4th /Hz
      Cantilever plate ⅠPolyethylene (PE)180×40×140×48.83, 48.95, 74.67, 126.67
      Cantilever plate ⅡPolyethylene (PE)100×80×137×241.97, 90.28, 156.39, 171.29
    • Table 3. DIC parameter

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      Table 3. DIC parameter

      ParameterSetting
      Correlation criteriaZNSSD
      Iterative methodIC-GN
      Shape function1 order
      Subset21 pixel×21 pixel
      Step size1 pixel
      Interpolation algorithmBicubic B-spline
    • Table 4. Stroboscopic down-sampling parameter

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      Table 4. Stroboscopic down-sampling parameter

      Excitation frequency /HzkN

      Sampling

      frequency /Hz

      8.831208.40952381
      48.9542012.08641975
      74.6772010.59148936
      126.67121010.51203319
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    Yuchen Wei, Jiechun Weng, Penglong Wang, Bing Chen, Zeren Gao, Yu Fu. Dynamic Structural Damage Localization Based on Digital Image Correlation[J]. Acta Optica Sinica, 2024, 44(19): 1912001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Apr. 10, 2024

    Accepted: May. 13, 2024

    Published Online: Oct. 12, 2024

    The Author Email: Fu Yu (fuyuoptics@gmail.com)

    DOI:10.3788/AOS240831

    CSTR:32393.14.AOS240831

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