Smart Structures and Systems

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Structural damage localization using spatial wavelet packet signature

  • Chang, C.C. (Department of Civil Engineering, Hong Kong University of Science and Technology) ;
  • Sun, Z. (Department of Civil Engineering, Hong Kong University of Science and Technology)
  • Received : 2004.03.27
  • Accepted : 2004.12.08
  • Published : 2005.01.25
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Abstract

In this study, a wavelet packet based method is proposed for identifying damage occurrence and damage location for beam-like structures. This method assumes that the displacement or the acceleration response time histories at various locations along a beam-like structure both before and after damage are available for damage assessment. These responses are processed through a proper level of wavelet packet decomposition. The wavelet packet signature (WPS) that consists of wavelet packet component signal energies is calculated. The change of the WPS curvature between the baseline state and the current state is then used to identify the locations of possible damage in the structure. Two numerical studies, one on a 15-storey shear-beam building frame and another on a simply-supported steel beam, and an experimental study on a simply-supported reinforced concrete beam are performed to validate the proposed method. Results show the WPS curvature change can be used to locate both single and sparsely-distributed multiple damages that exist in the structure. Also the accuracy of assessment does not seem to be affected by the presence of 20-15dB measurement noise. One advantage of the proposed method is that it does not require any mathematical model for the structure being monitored and hence can potentially be used for practical application.

Keywords

References

  1. Coifman, R. R. and Wickerhauser, M. V. (1992), "Entropy-based algorithms for best basis selection", IEEE Trans. Information Theory, 38, 713-718. https://doi.org/10.1109/18.119732
  2. Daubechies, I. (1992), Ten Lectures on Wavelets, CBS-NSF Regional Conferences in Applied Mathematics.
  3. Farrar, C. R. and Jauregui, D. A. (1998a), "Comparative study of damage identification algorithms applied to a bridge: I. Experiment", Smart Materials and Structures, 7, 704-719. https://doi.org/10.1088/0964-1726/7/5/013
  4. Farrar, C. R. and Jauregui, D. A. (1998b), "Comparative study of damage identification algorithms applied to a bridge: II. Numerical study", Smart Materials and Structures, 7, 720-731. https://doi.org/10.1088/0964-1726/7/5/014
  5. Pandey, A. K., Biswas, M. and Samman, M. M. (1991), "Damage detection from changes in curvature mode shapes", J. Sound Vib., 145, 321-332. https://doi.org/10.1016/0022-460X(91)90595-B
  6. Pandey, A. K., Biswas, M. (1994), "Damage detection in structures using changes in flexibility", J. Sound and Vib., 145, 321-332.
  7. Ratcliffe, C. R. (2000), "A frequency and curvature based experimental method for locating damage in structures", J. Vib. Acoust., 122, 324-329. https://doi.org/10.1115/1.1303121
  8. Sampaio, R. P. C., Maia, N. M. M. and Silva, J. M. M. (1999), "Damage detection using the frequency-responsefunction curvature method", J. Sound Vib., 226(5), 1029-1042. https://doi.org/10.1006/jsvi.1999.2340
  9. Stubbs, N., Kim, J. T. and Farrar, C. R. (1995), "Field verification of a nondestructive damage localization and severity estimation algorithm", Proceedings of 13th Int. Modal Analysis Conference, 210-218.
  10. Sun, Z. and Chang, C. C., (2002), "Structural damage assessment based on wavelet packet transform", J. Struct. Eng., ASCE, 128(10), 1354-1361. https://doi.org/10.1061/(ASCE)0733-9445(2002)128:10(1354)
  11. Zhang, Z. and Aktan, A. E. (1995), "The damage indices for the constructed facilities", Proceedings of 13th Int. Modal Analysis Conference, 12, 1520-1529.
  12. Zimmerman, D. C. and Kaouk, M. (1994), "Structural damage detection using a minimum rank update theory", J. Vib. Acoust., 116, 222-230. https://doi.org/10.1115/1.2930416

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