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Articles

Vol. 7 (2020)

An Improved Multiple Damage Identification Method of Plate Structure Using Discrete Wavelet Transform 

DOI
https://doi.org/10.31875/2409-9848.2020.07.5
Submitted
June 25, 2020
Published
2020-06-25

Abstract

In order to improve the identification accuracy of multiple damage of the plate structures, a method based on a two-dimensional discrete wavelet transform is proposed. Firstly, the structural characteristic parameters of the undamaged and damaged plate structures are obtained through the finite element modal analysis. The discrete wavelet transform is used to decompose and evaluate the modal node displacement data of the rectangular thin plate, and the high frequency information and singular values of the structural damage location are calculated. Secondly, the quantitative analysis of damage is realized by the change rate of the maximum value of the wavelet coefficient. Finally, according to the proposed algorithm, the anti-noise performance of the algorithm is verified through different ratios of noise. The results are shown that the vibration-based damage identification method is effective to detect the location and severity of the rectangular thin plate structures, which can be used to solve the damage identification problems of complex structures.

References

  1. Das S, Saha P, Patro SK. Vibration-based damage detection techniques used for health monitoring of structures: a review [J]. Journal of Civil Structural Health Monitoring, 2016, 6(3): 477-507.
  2. Rytter A, Vibration Based Inspection of Civil Engineering Structures. PhD Thesis, Aalborg University, Denmark. 1993.
  3. Doebling SW, Farrar CR, Prime MB, et al. Damage identification and health monitoring of structural and mechanical systems from change in their vibration characteristics: a literature review[J]. The Shock and Vibration Digest, 1996, 30(11): 2043-2049.
  4. Bayissa W, Harutos N, Thelandersson S. Vibration-based structural damage identification using wavelet transform [J]. Mechanical Systems and Signal Processing 2008, 22(5): 1194-1215. https://doi.org/1-0.1016/j.ymssp.2007.11.001.
  5. Fan W, Qiao P. Vibration-based damage identification methods: a review and comparative study [J]. Structural Health Monitoring, 2011, 10(1): 83-111.
  6. Jassim ZA, Ali NN, Mustapha F, et al. A review on the vibration analysis for a damage occurrence of a cantilever beam [J]. Engineering Failure Analysis, 2013, 31: 442-461.
  7. Knitter-Piatkowska A, Garbowski T, Garstecki A. Damage detection through wavelet transform and inverse analysis[C]//VI International Conference on Adaptive Modelling and Simulation (ADMOS 2013). 2013: 389-400.
  8. Miao BR, Whang MY, Yang SW, et al. An optimized damage identification method of beam using wavelet and neural network. Engineering, 2020, 12, 748-765.
  9. Vafaei M, Alih SC, Rahman ABA, et al. A wavelet-based technique for damage quantification via mode shape decomposition [J]. Structure and Infrastructure Engineering, 2015, 11(7): 869-883. DOI:10.1080/15732479.2014.917114.
  10. Palechor EUL, Bezerra LM, de Morais MVG, et al. Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data[J]. Frattura ed Integrità Strutturale, 2019, 13(48): 693-705.
  11. Gholizad A, Safari H. Damage identification of structures using experimental modal analysis and continuous wavelet transform [J]. Journal of Numerical Methods in Civil Engineering, 2017, 2(1): 61-71.
  12. Kim H, Melhem H. Damage detection of structures by wavelet analysis [J]. Engineering Structures, 2004, 26(3): 347-362. https://doi.org/10.1016/j.engstruct.2003.10.008
  13. Moavenian M, Khorrami H, Hasanzadeh S. An Investigation into the application of wavelet transform for crack detection in plates using Finite Element Method[C]// 16th Annual (International) Conference on Mechanical Engineering. Kerman: Shahid Bahonar University, 2008.
  14. Bagheri A, Ghodrati AG, Khorasani M, et al. Structural damage identification of plates based on modal data using 2D discrete wavelet transform[J]. Structural Engineering and Mechanics, 2011, 40(1): 13-28. https://doi.org/10.12989/sem.2011.40.1.013
  15. Amiri GG, Bagheri A, Razzaghi SS, et al. Structural damage detection in plates using wavelet transform[M]// GHAFOORI, N. Challenges, Opportunities and Solutions in Structural Engineering and Construction. Boca Raton Florida: CRC Press, 2009: 437-442.
  16. Thuan LP, Trung NT, Hung NX, et al. Using 2D wavelet transform to identify crack in functionally graded material plates[C]// The 2012 International Conference on Green Technology and Sustainable Development(GTSD2012).
  17. Masoumi M, Ashory MR. Damage identification in plate-type structures using 2-D spatial wavelet transform and flexibilitybased methods [J]. International Journal of Fracture, 2013, 183(2): 259-266. https://doi.org/10.1007/s10704-013-9865-9
  18. Masoumi M, Ashory MR. Damage Identification from Uniform Load Surface Using Continuous and Stationary Wavelet Transforms [J]. Latin American Journal of Solids and Structures, 2014, 11(5): 738-754.
  19. Reddy DM, Swarnamani S. Damage detection and identification in structures by spatial wavelet based approach [J]. International Journal of Applied Science and Engineering, 2012, 10(1): 69-87.
  20. Zhao Y, Noori M, Altabey WA, et al. Mode shape-based damage identification for a reinforced concrete beam using wavelet coefficient differences and multiresolution analysis[J]. Structural Control & Health Monitoring, 2018, 25(1): e2041.
  21. Sivasubramanian K, Umesha PK. Wavelet transform for damage identification in continuous beams [J]. Int. Journal of Applied Sciences and Engineering Research, 2013, 2(3): 294-306.
  22. Mardasi AG, Wu N, Wu C. Experimental study on the crack detection with optimized spatial wavelet analysis and windowing [J]. Mechanical Systems and Signal Processing, 2018, 104: 619-630.
  23. Janeliukstis R, Rucevskis S, Wesolowski M, et al. Damage Identification in Polymer Composite Beams Based on Spatial Continuous Wavelet Transform[C]// Iop Conference Series: Materials Science and Engineering. Baltic: 2016, 111(1): 012005.
  24. Serra R, Lopez L. Damage detection methodology on beamlike structures based on combined modal wavelet transform strategy [J]. Mechanics & Industry, 2017, 18(8): 807.
  25. Yang C, Oyadiji SO. Damage detection using modal frequency curve and squared residual wavelet coefficientsbased damage indicator [J]. Mechanical Systems and Signal Processing, 2017, 83: 385-405.
  26. Nikravesh SMY, Chegini SN. Crack identification in doublecracked plates using wavelet analysis [J]. Meccanica, 2013, 48(9): 2075-2098. https://doi.org/10.1007/s11012-013-9726-7
  27. Yang J-M, Yang Z-W, Tseng C-M. Damage detection in stiffened plates by wavelet transform [J]. International Journal of Naval Architecture and Ocean Engineering, 2011, 3(2): 126-135.
  28. Yang J-M, Hwang C-N, Yang B-L. Crack identification in beams and plates by discrete wavelet transform method [J]. Journal of Ship Mechanics, 2008, 12(3): 464-472.