DOI QR코드

DOI QR Code

Influence of higher order modes and mass configuration on the quality of damage detection via DWT

  • Vafaei, Mohammadreza (Faculty of Civil Engineering, Center for Forensic Engineering, Universiti Teknologi Malaysia) ;
  • Alih, Sophia C (Faculty of Civil Engineering, Institute of Noise and Vibration, Universiti Teknologi Malaysia)
  • Received : 2014.11.30
  • Accepted : 2015.10.28
  • Published : 2015.12.25

Abstract

In recent decades, wavelet transforms as a strong signal processing tool have attracted attention of researchers for damage identification. Apart from the wide application of wavelet transforms for damage identification, influence of higher order modes on the quality of damage detection has been a challenging matter for researchers. In this study, influence of higher order modes and different mass configurations on the quality of damage detection through Discrete Wavelet Transform (DWT) was studied. Nine different damage scenarios were imposed to four cantilever structures having different mass configurations. The first four mode shapes of the cantilever structures were measured experimentally and analyzed by DWT. A damage index was defined in order to study the influence of higher order modes. Results of this study showed that change in the mass configuration had a great impact on the quality of damage detection even when the changes altered natural frequencies slightly. It was observed that for successful damage detection all available mode shapes should be taken into account and measured mode shapes had no significant priority for damage detection over each other.

References

  1. Okafor, A.C. and Dutta, A. (2000), "Structural damage detection in beams by wavelet transforms", Smart Mater. Struct., 9(6), 906. https://doi.org/10.1088/0964-1726/9/6/323
  2. Ovanesova, A.V. and Suarez, L.E. (2004), "Applications of wavelet transforms to damage detection in frame structures", Eng. Struct., 26(1), 39-49. https://doi.org/10.1016/j.engstruct.2003.08.009
  3. Peng, X.L., Hao, H., Li, Z.X. and Fan, K.Q. (2013), "Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform", Eng. Struct., 48, 81-97. https://doi.org/10.1016/j.engstruct.2012.09.001
  4. Reda Taha, M.M., Noureldin, A., Lucero, J.L. and Baca, T.J. (2006), "Wavelet transform for structural health monitoring: A compendium of uses and features", Struct. Hlth. Monit., 5(3), 267-295. https://doi.org/10.1177/1475921706067741
  5. Rucka, M. and Wilde, K. (2006), "Application of continuous wavelet transform in vibration based damage detection method for beams and plates", J. Sound Vib., 297(3), 536-550. https://doi.org/10.1016/j.jsv.2006.04.015
  6. Rucka, M. (2011), "Damage detection in beams using wavelet transform on higher vibration modes", J. Theor. Appl. Mech., 49(2), 399-417.
  7. Rucka, M. and Wilde, K. (2006), "Application of continuous wavelet transform in vibration based damage detection method for beams and plates", J. Sound Vib., 297(3), 536-550. https://doi.org/10.1016/j.jsv.2006.04.015
  8. Staszewski, W.J. (1998), "Structural and mechanical damage detection using wavelet", Shock Vib. Digest., 30(6), 457-472. https://doi.org/10.1177/058310249803000602
  9. Vafaei, M. and Adnan, A.B. (2014a), "Seismic damage detection of tall airport traffic control towers using wavelet analysis", Struct. Infrastruct. Eng., 10(1), 106-127. https://doi.org/10.1080/15732479.2012.704051
  10. Vafaei, M., Adnan, A.B. and Abd. Rahman, A.B. (2014b), "A neuro-wavelet technique for seismic damage identification of cantilever structures", Struct. Infrastruct. Eng., 10(12), 1666-1684. https://doi.org/10.1080/15732479.2013.849746
  11. Vafaei, M., Alih, S.C., Rahman, A.B.A. and Adnan, A.B. (2014c), "A wavelet-based technique for damage quantification via mode shape decomposition", Struct. Infrastruct. Eng., 11(7), 869-883. https://doi.org/10.1080/15732479.2014.917114
  12. Wang, Q. and Deng, X. (1999), "Damage detection with spatial wavelets", Int. J. Solid. Struct., 36(23), 3443-3468. https://doi.org/10.1016/S0020-7683(98)00152-8
  13. Zhong, S. and Oyadiji, O. (2011), "Crack detection in simply supported beams using stationary wavelet transform of modal data", Struct. Control Hlth. Monit., 18(2), 169-190. https://doi.org/10.1002/stc.366
  14. Castro, E., Garcia-Hernandez, M.T. and Gallego, A. (2006), "Damage detection in rods by means of the wavelet analysis of vibrations: Influence of the mode order", J. Sound Vib., 296(4), 1028-1038. https://doi.org/10.1016/j.jsv.2006.02.026
  15. Gentile, A. and Messina, A. (2003), "On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams", Int. J. Solid. Struct., 40(2), 295-315. https://doi.org/10.1016/S0020-7683(02)00548-6
  16. Jiang X., Ma, Z.J. and Ren, W.X. (2012), "Crack detection from the slope of the mode shape using complex continuous wavelet transform", Comput. Aid. Civ. Infrastruct. Eng., 27(3), 187-201. https://doi.org/10.1111/j.1467-8667.2011.00734.x
  17. Liew, K.M. and Wang, Q. (1998), "Application of wavelet theory for crack identification in structures", J. Eng. Mech., 124(2), 152-157. https://doi.org/10.1061/(ASCE)0733-9399(1998)124:2(152)
  18. Mallat, S.G. (1999), A wavelet tour of signal processing, New York, NY: New York Academic.
  19. Masoumi, M. and Ashory, M.R. (2013), "Damage identification in plate-type structures using 2-D spatial wavelet transform and flexibility-based methods", Int. J. Fracture, 183(2), 259-266. https://doi.org/10.1007/s10704-013-9865-9