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.
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References
Castellini P, Revel GM, Tomasini EP (1998) Laser Doppler vibrometry: a review of advances and applications. Shock Vib Dig 30(6):443–456
Di Sante R, Revel GM, Rossi GL (2000) Measurement techniques for the acoustic analysis of synchronous belts. Meas Sci Technol 11(10):1463–1472
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), 075107
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 84:121705
Castellini P, Revel GM (2000) Laser vibration measurements and data processing for structural diagnostic on composite materials. Rev Sci Instrum Am Inst Phys 7:207–215
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 2000
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
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 1997
Khan AZ, Stanbridge AB, Ewins DJ (2000) Detecting damage in vibrating structures with a scanning LDV. Opt Lasers Eng 32:583–592
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
Kim H, Melhem H (2004) Damage detection of structures by wavelet analysis. Eng Struct 26:347–362
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
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 333:1543–1553
Martarelli M, Ewins DJ (2006) Continuous scanning laser Doppler vibrometry and speckle noise occurrence. Mech Syst Signal Process 20:2277–2289
Donoho DL, Johnstone IM (1995) Adapting to unknown smoothness via wavelet shrinkage. J Am Stat Assoc 90:1200–1224
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© 2015 The Society for Experimental Mechanics, Inc.
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Chiariotti, P., Revel, G.M., Martarelli, M. (2015). Exploiting Continuous Scanning Laser Doppler Vibrometry and Wavelet Processing for Damage Detection. In: De Clerck, J. (eds) Experimental Techniques, Rotating Machinery, and Acoustics, Volume 8. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-15236-3_18
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DOI: https://doi.org/10.1007/978-3-319-15236-3_18
Publisher Name: Springer, Cham
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