Structural Engineering and Mechanics

  • 제41권5호
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  • Pages.663-673
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  • 2012
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Multiple damages detection in beam based approximate waveform capacity dimension

  • Yang, Zhibo (The State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University) ;
  • Chen, Xuefeng (The State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University) ;
  • Tian, Shaohua (The State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University) ;
  • He, Zhengjia (The State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University)
  • 투고 : 2011.11.14
  • 심사 : 2012.02.02
  • 발행 : 2012.03.10
⟨ 이전 논문 다음 논문 ⟩

초록

A number of mode shape-based structure damage identification methods have been verified by numerical simulations or experiments for on-line structure health monitoring (SHM). However, many of them need a baseline mode shape generated by the healthy structure serving as a reference to identify damages. Otherwise these methods can hardly perform well when multiple cracks conditions occur. So it is important to solve the problems above. By aid of the fractal dimension method (FD), Qiao and Wang proposed a generalized fractal dimension (GFD) to detect the delamination damage. As a modification of GFD, Qiao and Cao proposed the approximate waveform capacity dimension (AWCD) technique to simplify the calculation of fractal and overcome the false peak appearing in the high mode shapes. Based on their valued work, this paper combined and applied the AWCD method and curvature mode shape data to detect multiple damages in beam. In the end, the identification properties of the AWCD for multiple damages have been verified by groups of Monte Carlo simulations and experiments.

키워드

참고문헌

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  2. A hybrid multiple damages detection method for plate structures vol.60, pp.5, 2017, https://doi.org/10.1007/s11431-016-9002-0
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  5. Robust structural damage detection and localization based on joint approximate diagonalization technique in frequency domain vol.26, pp.1, 2017, https://doi.org/10.1088/0964-1726/26/1/015005
  6. Hybrid two-step method of damage detection for plate-like structures vol.23, pp.2, 2016, https://doi.org/10.1002/stc.1769
  7. Scale-wavenumber domain filtering method for curvature modal damage detection vol.154, 2016, https://doi.org/10.1016/j.compstruct.2016.07.074
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  9. A Fourier spectrum-based strain energy damage detection method for beam-like structures in noisy conditions vol.60, pp.8, 2017, https://doi.org/10.1007/s11431-016-0786-7
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  11. Identification of damage locations based on operating deflection shape vol.28, pp.2, 2013, https://doi.org/10.1080/10589759.2012.716437
  12. Fourier spectral-based modal curvature analysis and its application to damage detection in beams vol.84, 2017, https://doi.org/10.1016/j.ymssp.2016.07.005
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  14. Output-Only Damage Identification Using Enhanced Structural Characteristic Deflection Shapes and Adaptive Gapped Smoothing Method vol.140, pp.1, 2017, https://doi.org/10.1115/1.4037469
  15. An improved damage diagnostic technique based on Singular Spectrum Analysis and time series models vol.14, pp.10, 2018, https://doi.org/10.1080/15732479.2018.1446032
  16. A damage localization method based on the singular value decomposition (SVD) for plates vol.22, pp.5, 2018, https://doi.org/10.12989/sss.2018.22.5.621