Vibration-based structural damage identification using wavelet transform

Mechanical Systems and Signal Processing

Volumn 22, Issue 5, 2008, Pages 1194-1215

  Bayissa, W L ^a   Haritos, N ^a   Thelandersson, S ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b LUND INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Bridge; Damage localization; Plate; Statistical moments; Wavelet transform

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; SENSITIVITY ANALYSIS; STATISTICAL METHODS; VIBRATIONS (MECHANICAL); WAVELET TRANSFORMS;

DAMAGE LOCALIZATION; DISCRETE ENERGY DISTRIBUTIONS; ENERGY DENSITY FUNCTION; STATISTICAL MOMENTS;

DAMAGE DETECTION;

EID: 41649120992     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2007.11.001     Document Type: Article

References (40)

1. S.W. Doebling, C.L. Farrar, M.B. Prime, D.W. Shevitz, Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Los Alamos National Laboratory Report, LA-13070-MS, 1996.
2. Cawley P., and Adams R.D. The location of defects in structures from measurements of natural frequencies. Journal of Strain Analysis for Engineering Design 14 (1979) 49-57
3. Pandey A.K., Biswas M., and Samman M.M. Damage detection from changes in curvature modeshapes. Journal of Sound and Vibration 145 (1991) 321-332
4. Pandey A.K., and Biswas M. Damage detection in structures using changes in flexibility. Journal of Sound and Vibration 169 (1994) 3-17
5. Lu Q., Ren G., and Zhao Y. Multiple damage location with flexibility curvature and relative frequency change for beam structures. Journal of Sound and Vibration 253 (2002) 1101-1114
6. Zhang Z., and Aktan A.E. Application of modal flexibility and its derivatives in structural identification. Research in Nondestructive Evaluation 10 (1998) 43-61
7. D.V. Jauregui, C.R. Farrar, Comparison of damage identification algorithms on experimental modal data from a bridge, in: Proceedings of the 14th International Modal Analysis Conference, vol. 2, Dearborn, MI, 1996, pp. 1423-1429.
8. Cornwell P., Doebling S.W., and Farrar C.R. Application of the strain energy damage detection method to plate-like structures. Journal of Sound and Vibration 224 (1999) 359-374
9. Marwala T. Fault identification using pseudomodal energies and modal properties. Journal of Aircraft 39 (2001) 1608-1617
10. Hwang H.Y., and Kim C. Damage detection in structures using a few frequency response measurements. Journal of Sound and Vibration 270 (2004) 1-14
11. Sampaio R.P.C., Maia N.M.M., and Silva J.M.M. Damage detection using the frequency response function curvature method. Journal of Sound and Vibration 226 (1999) 1029-1042
12. Liberatore S., and Carman G.P. Power spectral density analysis for damage identification and location. Journal of Sound and Vibration 274 (2004) 761-776
13. W.L. Bayissa, N. Haritos, Structural damage assessment using the mean-square value of response power spectral density, in: Proceedings of the Australian Structural Engineering Conference, Newcastle, Australia, 2005, Paper No. 27.
14. MATLAB 6.5, The MathWorks, Inc. Release 13 User's Manual, 2002.
15. Brenner M.J. Non-stationary dynamics data analysis with wavelet-SVD filtering. Mechanical Systems and Signal Processing 17 (2003) 765-786
16. Basu B.B., and Gupta V.K. Non-stationary seismic response of MDOF systems by wavelet transform. Earthquake Engineering and Structural Dynamics 26 (1997) 1243-1258
17. Kitada Y. Identification of non-linear dynamic systems using wavelets. Journal of Engineering Mechanics 124 (1998) 152-157
18. Kim H., and Melhem H. Fourier and wavelet analysis for fatigue assessment of concrete beams. Experimental Mechanics 43 (2003) 131-140
19. Yam L.H., Yan Y.J., and Jiang J.S. Vibration-based damage detection for composite structures using wavelet transform and neural network identification. Composite Structures 60 (2003) 403-412
20. Hou Z., Noori M., and Amand R.St. Wavelet-based approach for structural damage detection. Journal of Engineering Mechanics 126 (2000) 677-683
21. Yoon D.-J., Weiss W.J., and Shah S.P. Assessing damage in corroded reinforced concrete using acoustic emission. Journal of Engineering Mechanics 126 (2000) 273-283
22. Liew K.M., and Wang Q. Application of wavelet theory for crack identification in structures. Journal of Engineering Mechanics 124 (1998) 152-157
23. Moyo P., and Brownjohn J.M.W. Detection of anomalous structural behavior using wavelet analysis. Mechanical Systems and Signal Processing 16 (2002) 429-445
24. Lee U., and Shin J. A structural damage identification method for plate structures. Engineering Structures 24 (2002) 1177-1188
25. Yam L.H., Li Y.Y., and Wong W.O. Sensitivity studies of parameters for damage detection of plate-like structures using static and dynamic approaches. Engineering Structures 24 (2002) 1465-1475
26. Yoon M.K., Heider D., Gillespie Jr. J.W., Ratcliffe C.P., and Crane R.M. Local damage detection using the two-dimensional gapped smoothing method. Journal of Sound and Vibration 279 (2005) 119-139
27. Wu D., and Law S.S. Damage localization in plate structures from uniform load surface curvature. Journal of Sound and Vibration 276 (2004) 227-244
28. Loughlin P., and Cakrak F. Conditional moments analysis of transients with application to helicopter fault data. Mechanical Systems and Signal Processing 14 (2000) 511-522
29. Davidson K.L., and Loughlin P.J. Instantaneous spectral moments. Journal of the Franklin Institute 337 (2000) 421-436
30. Lutes L.D., and Larsen C.E. Improved spectral method for variable amplitude fatigue prediction. Journal of Structural Engineering 116 (1990) 1149-1164
31. H. Karadeniz, Uncertainty modeling and fatigue reliability calculation of offshore structures with deteriorated members, in: Proceedings of the 23rd International Conference on Offshore Mechanics and Arctic Engineering, Vancouver, Canada, June 20-25, 2004.
32. W.L. Bayissa, N. Haritos, Structural damage identification using spectral moments of the vibration response signal, in: Proceedings of the 1st International Conference on Structural Condition Assessment, Monitoring and Improvement, Perth, Australia, 2005, pp. 123-130.
33. Newland D.E. An Introduction to Random Vibrations and Spectral Analysis. second ed. (1993), Longman, UK
34. Mallat S. A Wavelet Tour of Signal Processing (1999), Academic Press, San Diego
35. Daubechies I. Ten Lectures on Wavelets, CBMS vol. 61 (1994), SIAM, Philadelphia, PA pp. 194-202
36. ANSYS 8.0. User's Manual, ANSYS Inc., 2004.
37. C.R. Farrar, W.E. Baker, T.M. Bell, E.M. Cone, T.W. Darling, T.A. Duffey, A. Eklund, A. Migliori, Dynamic characterization and damage detection in the I-40 bridge over the Rio Grande, Los Alamos National Laboratory Report, LA-12767-MS, 1994.
38. N. Stubbs, J.-T. Kim, C.R. Farrar, Field verification of a non-destructive damage localization and severity estimation algorithm, in: Proceedings of the 13th International Modal Analysis Conference, Nashville, TN, 1995, pp. 210-218.
39. Farrar C.R., and Jauregui D.V. Comparative study of damage identification algorithms applied to a bridge: I. Experimental. Smart Materials and Structures 7 (1998) 704-719
40. C.R. Farrar, D.V. Jauregui, Damage detection algorithms applied to experimental and numerical modal data from the I-40 bridge, Los Alamos National Laboratory Report, LA-13074-MS, 1996.