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Exploiting Continuous Scanning Laser Doppler Vibrometry and Wavelet Processing for Damage Detection

  • P. ChiariottiEmail author
  • G. M. Revel
  • M. Martarelli
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

The present paper proposes a novel damage detection approach based on the exploitation of the simultaneous time and spatial sampling provided by CSLDV and the feature extraction capabilities of wavelet-domain processing. Superficial defects are analysed in the paper. The damage detection procedure is presented and its performances studied in a simulated application on a plate with different crack scenarios (varying crack depth ratio). Both line and area scans are analysed, considering also the influence of measurement noise. The method shows promising results, since cracks are identified in all severity conditions. An example on a sub-surface defect on a carbon-fiber panel is also presented.

Keywords

Laser Doppler vibrometry Continuous scan laser Doppler vibrometry Damage detection Wavelet processing Non-destructive diagnostics 

References

  1. 1.
    Castellini P, Revel GM, Tomasini EP (1998) Laser Doppler vibrometry: a review of advances and applications. Shock Vib Dig 30(6):443–456CrossRefGoogle Scholar
  2. 2.
    Di Sante R, Revel GM, Rossi GL (2000) Measurement techniques for the acoustic analysis of synchronous belts. Meas Sci Technol 11(10):1463–1472CrossRefGoogle Scholar
  3. 3.
    Revel GM, Martarelli M, Chiariotti P (2010) A new laser vibrometry-based 2D selective intensity method for source identification in reverberant fields: Part I. Development of the technique and preliminary validation. Meas Sci Technol 21(7), 075107CrossRefGoogle Scholar
  4. 4.
    Marchionni P, Scalise L, Ercoli I, Tomasini EP (2013) An optical measurement method for the simultaneous assessment of respiration and heart rates in preterm infants. Rev Sci Instrum Am Inst Phys 84:121705CrossRefGoogle Scholar
  5. 5.
    Castellini P, Revel GM (2000) Laser vibration measurements and data processing for structural diagnostic on composite materials. Rev Sci Instrum Am Inst Phys 7:207–215CrossRefGoogle Scholar
  6. 6.
    Stanbridge AB, Martarelli M, Ewins DJ (2000) Measuring area vibration mode shapes with a continuous-scan LDV, measurement. In: 4th international conference on vibration measurements by laser techniques: advances and applications, Ancona, June 2000Google Scholar
  7. 7.
    Chiariotti P, Martarelli M, Revel GM (2014) Exploiting continuous scanning laser Doppler vibrometry (CSLDV) in time domain correlation methods for noise source identification. Meas Sci Technol 25(7):075204. doi: 10.1088/0957-0233/25/7/075204 CrossRefGoogle Scholar
  8. 8.
    Stanbridge AB, Khan AZ, Ewins DJ (1997) Fault identification in vibrating structures using a scanning laser Doppler vibrometer. In: Proceedings of the international workshop on structural health monitoring, Stanford, pp 56–65, 18–20 Sept 1997Google Scholar
  9. 9.
    Khan AZ, Stanbridge AB, Ewins DJ (2000) Detecting damage in vibrating structures with a scanning LDV. Opt Lasers Eng 32:583–592CrossRefGoogle Scholar
  10. 10.
    Chukwujekwu Okafor A, Dutta A (2000) Structural damage detection in beams by wavelet transforms. Smart Mater Struct 9:906. doi: 10.1088/0964-1726/9/6/323 CrossRefGoogle Scholar
  11. 11.
    Kim H, Melhem H (2004) Damage detection of structures by wavelet analysis. Eng Struct 26:347–362CrossRefGoogle Scholar
  12. 12.
    Radzieński M, Krawczuk M (2009) Experimental verification and comparison of mode shape-based damage detection methods. J Phys Conf Ser 181:012067. doi: 10.1088/1742-6596/181/1/012067 CrossRefGoogle Scholar
  13. 13.
    Cao M, Xu W, Ostachowicz W, Zhongqing S (2014) Damage identification for beams in noisy conditions based on Teager energy operator-wavelet transform modal curvature. J Sound Vib 333:1543–1553CrossRefGoogle Scholar
  14. 14.
    Martarelli M, Ewins DJ (2006) Continuous scanning laser Doppler vibrometry and speckle noise occurrence. Mech Syst Signal Process 20:2277–2289CrossRefGoogle Scholar
  15. 15.
    Donoho DL, Johnstone IM (1995) Adapting to unknown smoothness via wavelet shrinkage. J Am Stat Assoc 90:1200–1224CrossRefzbMATHMathSciNetGoogle Scholar

Copyright information

© The Society for Experimental Mechanics, Inc. 2015

Authors and Affiliations

  1. 1.Università Politecnica delle MarcheAnconaItaly
  2. 2.Università degli Studi e-CampusNovedrateItaly

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