Investigation of Sensor Placement in Lamb Wave-Based SHM Method

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In this paper the investigation of a structural health monitoring method for thin-walled parts of structures is presented. The concept is based on the guided elastic wave propagation phenomena. This type of waves can be used in order to obtain information about structure condition and possibly damaged areas. Guided elastic waves can travel in the medium with relatively low attenuation, therefore they enable monitoring of extensive parts of structures. In this way it is possible to detect small defects in their early stage of growth. It is essential because undetected damage can endanger integrity of a structure. In reported investigation piezoelectric transducer was used to excite guided waves in chosen specimens. Dispersion of guided waves results in changes of velocity with the wave frequency, therefore a narrowband signal was used. Measurement of the wave field was realized using laser scanning vibrometer that registered the velocity responses at points belonging to a defined mesh. An artificial discontinuity was introduced to the specimen. The goals of the investigation was to detect it and find optimal sensor placement for this task. Determination of the optimal placement of sensors is a very challenging mission. In conducted investigation laser vibrometer was used to facilitate the task. The chosen mesh of measuring points was the basis for the investigation. The purpose was to consider various configuration of piezoelectric sensors. Instead of using vast amount of piezoelectric sensors the earlier mentioned laser vibrometer was used to gather the necessary data from wave propagation. The signals gather by this non-contact method for the considered network were input to the damage detection algorithm. Damage detection algorithm was based on a procedure that seeks in the signals the damage-reflected waves. Knowing the wave velocity in considered material the damage position can be estimated.

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174-183

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July 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Z. Su, L. Ye. Identification of damage using Lamb waves. Springer-Verlag, (2009).

Google Scholar

[2] H. Lamb, On waves in an elastic plate, Proc. R. Soc. Lond. A 93 (1917) 114-128.

Google Scholar

[3] J. L. Rose, Ultrasonic waves in solid media, Cambridge University Press Cambridge, (1999).

Google Scholar

[4] P. Wilcox, Omni-directional guided wave transducer arays for the rapid inspection of large areas of palate structures, IEEE T. Ultrason. Ferr. 50 (2003) 699-709.

DOI: 10.1109/tuffc.2003.1209557

Google Scholar

[5] K. Hongjoon, J. Kyungyoung, S. Minjea, K. Jaeyeol, A noncontact NDE method using a laser-generated focused-Lamb wave with enhanced defect detection ability and spatial resolution, NDT&E Int. 39 (2006) 312-319.

DOI: 10.1016/j.ndteint.2005.09.001

Google Scholar

[6] K. Hongjoon, J. Kyungyoung, S. Minjea, K. Jaeyeol, Application of the laser-generated focused-Lamb wave for non-contact imaging of defects in plate, Ultrasonics 44 (2006) 1265-1268.

DOI: 10.1016/j.ultras.2006.05.080

Google Scholar

[7] V. Giurgiutiu, Structural Health Monitoring with Piezoelectric Wafer Active Sensors, Academic Press, Amsterdam, (2008).

Google Scholar

[8] W. Ostachowicz, P. Kudela, P. Malinowski, T. Wandowski, Damage localisation in plate-like structures based on PZT sensors, Mech. Syst. Signal Pr. 23 (2009) 1805-1829.

DOI: 10.1016/j.ymssp.2008.10.011

Google Scholar

[9] P. Malinowski, T. Wandowski, I. Trendafilova, W. Ostachowicz, A phased–array–based method for damage detection and localization in thin plates. Struct. Health Monit. 8 (2009) 5-15.

DOI: 10.1177/1475921708090569

Google Scholar

[10] W. Qiang and Y. Shenfang, Baseline-free imaging method based on new PZT sensor arrangements, J. Intel. Mat. Syst. Str. 20 (2009) 1663-1673.

DOI: 10.1177/1045389x09105232

Google Scholar

[11] P. Malinowski, T. Wandowski, W. Ostachowicz, Damage detection potential of a triangular piezoelectric configuration, Mech. Syst. Signal Pr. 25 (2011) 2722–2732.

DOI: 10.1016/j.ymssp.2011.02.010

Google Scholar

[12] W. J. Staszewski, K. Worden, R. Wardle, G. R. Tomlinson, Fail-safe sensor distributions for impact detection in composite materials, Smart Mater. Struct. 9 (2000) 298–303.

DOI: 10.1088/0964-1726/9/3/308

Google Scholar

[13] M. Azarbayejani, A. I. El-Osery, K.K. Choi, M.M. Reda Taha, A probabilistic approach for optimal sensor allocation in structural health monitoring, Smart Mater. Struct. 17 (2008) 055019.

DOI: 10.1088/0964-1726/17/5/055019

Google Scholar

[14] B.C. Lee, W.J. Staszewski, Sensor location studies for damage detection with Lamb waves, Smart Mater. Struct. 16 (2007) 399–408.

DOI: 10.1088/0964-1726/16/2/019

Google Scholar

[15] L. Mallet, B.C. Lee, W.J. Staszewski, F. Scarpa, Structural health monitoring using scanning laser vibrometry: II. Lamb waves for damage detection. Smart Mater. Struct. 13 (2004) 261–269.

DOI: 10.1088/0964-1726/13/2/003

Google Scholar

[16] W.J. Staszewski, S. Mahzan, R. Traynor, Health monitoring of aerospace composite structures – Active and passive approach. Composites Science and Technology 69 (2009) 1678–1685.

DOI: 10.1016/j.compscitech.2008.09.034

Google Scholar

[17] M. Ruzzene, S.M. Jeong, T.E. Michaels, J.E. Michaels, B. Mi, Simulation and Measurement of Ultrasonic Waves in Elastic Pates Using Laser Vibrometry. Review of Quntitative Nondestructive Evaluation 24 (2005) 172–179.

DOI: 10.1063/1.1916675

Google Scholar

[18] M. Ruzzene, 2007. Frequency–wavenumber domain filtering for improved damage visualization. Smart Mater. Struct. 16 (2007) 2116–2129.

DOI: 10.1088/0964-1726/16/6/014

Google Scholar

[19] H. Sohn, D. Dutta, J.Y. Yang, P.M. Desimio, S.E. Olson, E.D. Swenson, A Wavefiled Imaging Technique for Delamination Detection in Composite Structures. Proceedings of the Fifth European Workshop on Structural Health Monitoring (2010) 1335–1340.

DOI: 10.1117/12.847316

Google Scholar