Smart Structures and Systems

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Smart sensors for monitoring crack growth under fatigue loading conditions

  • Giurgiutiu, Victor (Department of Mechanical Engineering, University of South Carolina) ;
  • Xu, Buli (Department of Mechanical Engineering, University of South Carolina) ;
  • Chao, Yuh (Department of Mechanical Engineering, University of South Carolina) ;
  • Liu, Shu (Department of Mechanical Engineering, University of South Carolina) ;
  • Gaddam, Rishi (Department of Mechanical Engineering, University of South Carolina)
  • Received : 2005.01.05
  • Accepted : 2005.11.11
  • Published : 2006.04.25
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Abstract

Structural health monitoring results obtained with the electro-mechanical (E/M) impedance techniqueand Lamb wave transmission methods during fatigue crack propagation of an Arcan specimen instrumented with piezoelectric wafer active sensors (PWAS) are presented. The specimen was subjected in mixed-mode fatigue loading and a crack was propagated in stages. At each stage, an image of the crack and the location of the crack tip were recorded and the PWAS readings were taken. Hence, the crack-growth in the specimen could be correlated with the PWAS readings. The E/M impedance signature was recorded in the 100 - 500 kHz frequency range. The Lamb-wave transmission method used the pitch-catch approach with a 3-count sine tone burst of 474 kHz transmitted and received between various PWAS pairs. Fatigue loading was applied to initiate and propagate the crack damage of controlled magnitude. As damage progressed, the E/M impedance signatures and the waveforms received by receivers were recorded at predetermined intervals and compared. Data analysis indicated that both the E/M impedance signatures and the Lamb-wave transmission signatures are modified by the crack progression. Damage index values were observed to increase as the crack damage increases. These experiments demonstrated that the use of PWAS in conjunction with the E/M impedance and the Lamb-wave transmission is a potentially powerful tool for crack damage detection and monitoring in structural elements.

Keywords

References

  1. Chao, Y. J. and Liu, S. (1997), 'On the failure of cracks under mixed-mode loads', Int. J. Fract., 87(3), 201-223 https://doi.org/10.1023/A:1007499309587
  2. Chao, Y., Liu, S. and Gaddarn, R. (2004), 'Fracture type transition under mixed mode I/II quasistatic and fatigue loading conditions', Proceedings of the Annual Meeting of Experimental Mechanics
  3. Chang, F.-K. (1995), 'Built-in damage diagnostics for composite structures', Proceedings of the 10th International Conference on Composite Structures (ICCM-10), Vol. 5, Whistler, B.C., Canada, August 14-18, 1995, 283-289
  4. FRANC2D/L (2000), 'A crack propagation simulator for plane layered structures, version 1.4 User's guide', D. Swenson and M. James, Kansas State University.Manhattan, Kansas, 2000
  5. Giurgiutiu, V., Zagrai, A. N. and Bao, J. (2002), 'Piezoelectric wafer embedded active sensors for aging aircraft structural health monitoring', Structural Health Monitoring - An Int. J., Sage Pub., 1(1), July 41-61 https://doi.org/10.1177/147592170200100104
  6. Giurgiutiu, V. (2003), 'Embedded ultrasonics NDF, with piezoelectric wafer active sensors', J. Instrumentation. Mesure, Metrologie. Lavoisier Pub., Paris, France, RS series 12M, 3(3-4), 149-180
  7. Ihn, J.-B. and Chang, F.-K. (2002), 'Multi-crack growth monitoring at riveted lap joints using piezoelectric patches', Proceedings of SPIE's 7th Annual International Symposium on NDE for Health Monitoring and Diagnostics, 17-21 March 2002, San Diego, CA, 4702, 29-40
  8. Ihn, J.-B. (2003), 'Built-in diagnostics for monitoring fatigue crack growth in aircraft structures', PhD Dissertation, Stanford University, Department of Aeronautics and Astronautics
  9. Lin, X. and Yuan, F. G. (2001a) 'Diagnostic Lamh waves in an integrated piezoelectric sensor/actuator plate: analytical and experimental studies', Smart Mater Struct., 10, 907-913 https://doi.org/10.1088/0964-1726/10/5/307
  10. Lin, X. and Yuan, F. G. (2001b) 'Damage detection of a plate using migration technique', J. Intelligent Mater. Sys. Struct., 12(7), July 2001
  11. Lin, X. and Yuan, F. G. (2001c), 'Detection of multiple damage by prestack reverse-time migration', AIAA J., 39(11), Nov. 2206-2215 https://doi.org/10.2514/2.1220
  12. Liu, T., Veidt, M. and Kitipornchai, S. (2003), 'Modeling the input-output behavior of piezoelectric structural health monitoring systems for composites plates', Smart Mater. Struct., 12, 836-844 https://doi.org/10.1088/0964-1726/12/5/021
  13. Park, G., Sohn, H., Farrar, C. R. and Inman, D. J. (2003), 'Overview of piezoelectric impedance-based health monitoring and path forward', The Shock Vib. Digest, 35, 451-463 https://doi.org/10.1177/05831024030356001

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