Skip to main content

Fatigue Damage Identification and Remaining Useful Life Estimation of Composite Structures Using Piezo Wafer Active Transducers

  • Conference paper
  • First Online:
Advances in Asset Management and Condition Monitoring

Abstract

The prediction of fatigue damage accumulation is a crucial element in the estimation of the Remaining Useful Life of composite structures subjected to cyclic loading. In this paper, two Glass-Fibre Reinforced Plastics, a thin strip and a thick beam, are subjected to fatigue load while being monitored with Piezo Wafer Active Sensors. Two distinct methods, one based on Electro-Mechanical Impedance Spectroscopy (EMIS) and one based on the Reconstruction Algorithm for Probabilistic Identification of Damage (RAPID), are employed. Both methods are mostly used for damage detection, yet not for damage accumulation monitoring. The results presented in this paper show that damage accumulation can be followed during fatigue loading of the test objects. The trends shown in the damage accumulation graphs give an indication of the damage accumulation, and even a change in the damage evolution stage, yet a complete RUL estimation is not possible without further analysis of the experiments, possibly assisted by numerical modelling.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Su, Z., Ye, L.: Identification of damage using lamb waves - from fundamentals to applications. In: Lecture Notes in Applied and Computational Mechanics, vol. 48. Springer (2009)

    Google Scholar 

  2. Loendersloot, R., Buethe, I., Michaelides, P., Moix Bonet, M., Lampeas, G.: Damage identification in composite panels - methodology and visualisation. In: Smart Intelligent Aircraft Structures (SARISTU): Proceedings of the Final Project Conference, pp. 579–604. Springer (2015)

    Google Scholar 

  3. Moix Bonet, M., Wierach, P., Loendersloot, R., Bach, M.: Damage assessment in composite structures based on acousto-ultrasonics - evaluation of performance. In: Smart Intelligent Aircraft Structures (SARISTU): Proceedings of the Final Project Conference, pp. 617–629. Springer (2015)

    Google Scholar 

  4. Loendersloot, R., Venterink, M., Krause, A., Lahuerta, F.: Acousto-ultrasonic damage monitoring in a thick composite beam for wind turbine applications. In: Proceeding of the 9th European Workshop on Structural Health Monitoring (2018)

    Google Scholar 

  5. Sepehry, N., Bakhtiari-Nejad, F., Shamshirsaz, M., Zhu, W.: Nonlinear modeling of cracked beams for impedance based structural health monitoring. In: Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition (2017). 8 pages

    Google Scholar 

  6. Sepehry, N., Bakhtiari-Nejad, F., Shamshirsaz, M.: Thermo-electro-mechanical impedance based structural health monitoring of plates. Compos. Struct. 116, 147–164 (2014)

    Article  Google Scholar 

  7. Sepehry, N., Shamshirsaz, M., Bakhtiari Nejad, F.: Low-cost simulation using model order reduction in structural health monitoring: application of balanced proper orthogonal decomposition. Struct. Control Health Monit. 24(11), e1994 (2017)

    Google Scholar 

  8. Yu, L., Gresil, M., Pollock, P., Sutton, M.: Progressive damage detection/diagnosis on composite using electromechanical impedance spectroscopy. In: Proceedings of the ASME 2011 International Mechanical Engineering Congress and Exposition, pp. 255–262 (2011)

    Google Scholar 

  9. Annamdas, V.G.M., Chew, Y., Pang, J.H.L., Hoh, H.J., Zhou, K., Song, B.: Fatigue growth analysis of pre induced surface defects using piezoelectric wafer based impedance method and digital image correlation system. J. Nondestr. Eval. 33(3), 413–426 (2014)

    Article  Google Scholar 

  10. Soh, C.K., Lim, Y.Y.: Fatigue damage diagnosis and prognosis using electromechanical impedance technique. Elsevier Ltd., (2016)

    Google Scholar 

  11. Giurgiutiu, V., Zagrai, A., Jing Bao, J.: Piezoelectric wafer embedded active sensors for aging aircraft structural health monitoring. Struct. Health Monit. 1(1), 41–61 (2002)

    Article  Google Scholar 

  12. Cherrier, O., Selva, P., Pommier-Budinger, V., Lachaud, F., Morlier, J.: Damage localization map using electromechanical impedance spectrums and inverse distance weighting interpolation: experimental validation on thin composite structures. Struct. Health Monit. 12(4), 311–324 (2013)

    Article  Google Scholar 

  13. Derriso, M.M., DeSimio, M.P., McCurry, Ch.D., Schubert Kabban, Ch.M., Olson, S.E.: Industrial age non-destructive evaluation to information age structural health monitoring. Struct. Health Monit. 13(6), 591–600 (2014)

    Google Scholar 

  14. Case, S.W., Reifsnider, K.L.: Fatigue of composite materials. In: Comprehensive Structural Integrity, vol. 4, pp. 405–441 (2007)

    Google Scholar 

  15. Chiachio, M., Chiachio, J., Saxena, A., Goebel, K.: An energy-based prognostic framework to predict evolution of damage in composite materials. In: Structural Health Monitoring (SHM) in Aerospace Structures, pp. 447–477 (2016)

    Google Scholar 

  16. Eleftheroglou, N., Loutas, T.: Fatigue damage diagnostics and prognostics of composites utilizing structural health monitoring data and stochastic processes. Struct. Health Monit. 15(4), 473–488 (2016)

    Article  Google Scholar 

  17. Talreja, R., Singh, C.V.: Damage and Failure of Composite Materials. Cambridge University Press, Cambridge (2012)

    Book  Google Scholar 

  18. Mueller, I.: Inspection of piezoelectric transducers used for structural health monitoring systems. University of Siegen, Ph.D. thesis (2017)

    Google Scholar 

  19. Su, Z., Ye, L., Lu, Y.: Guided lamb waves for identification of damage in composite structures: A review. J. Sound Vib. 295(3–5), 753–780 (2006)

    Article  Google Scholar 

  20. Wu, Z., Liu, K., Wang, Y., Zheng, Y.: Validation and evaluation of damage identification using probability-based diagnostic imaging on a stiffened composite panel. J. Intell. Mater. Syst. Struct. 26(16), 2181–2195 (2014)

    Article  Google Scholar 

  21. Venterink, M., Loendersloot, R., Tinga, T.: The detection of fatigue damage accumulation in a thick composite beam using acousto ultrasonics. In: Proceedings of the First HEAMES Conference, London, UK (2018). 10 pages

    Google Scholar 

  22. Moix Bonet, M., Eckstein, B., Loendersloot, R., Wierach, P.: Identification of barely visible impact damages on a stiffened composite panel with a probability-based approach. In: Chang, F.K., Guemes, A.(eds.) Proceedings of International Workshop on Structural Health Monitoring, DEStech Publications, Lancaster (2015). 10 pages

    Google Scholar 

  23. ASTM D3039/D3039M-14. Standard test method for tensile properties of polymer matrix composite (2014)

    Google Scholar 

  24. ASTM D777417. Standard test method for flexural fatigue properties of polymer matrix composite (2017)

    Google Scholar 

Download references

Ackowledgements

The work presented is funded by the Dutch TKI Wind at Sea project SLOWIND, grant number TEWZ 115012. This support is gratefully acknowledged by the authors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Loendersloot .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Loendersloot, R., Ehsani, M., Shamshirsaz, M. (2020). Fatigue Damage Identification and Remaining Useful Life Estimation of Composite Structures Using Piezo Wafer Active Transducers. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-57745-2_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57744-5

  • Online ISBN: 978-3-030-57745-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics