Skip to main content
Log in

Numerical Simulation of Carbon Fiber Reinforced Polymer Composite Delamination Damage Identification Using Lamb Wave and Filtered Back-Projection Method

  • ACOUSTIC METHODS
  • Published:
Russian Journal of Nondestructive Testing Aims and scope Submit manuscript

Abstract

Delamination in carbon fiber reinforced polymer (CFRP) composite structures plays a significant role in reducing the stiffness and strength of the structure, thus downgrading the integrity and reliability of the system. Aiming at the problem that traditional linear Lamb wave technology is not sensitive to the layered defects of composite materials and the existing nonlinear Lamb wave method is difficult to locate and detect damage, this paper proposes an ultrasonic tomography method based on Lamb waves to detect and reconstruct the delamination defects in CFRP plate. The dynamic finite element analysis method is used to simulate the propagation process of A0 mode Lamb waves in the 14-layer cross-layer CFRP defect plate. Sixty-four sensors perform fan-beam scanning on the composite plate in an equal-angle arrangement to obtain time-of-flight data corresponding to the sensing path. The layered defects of the composite material are imaged and evaluated by the filtered back-projection method. The experimental results show that this method can obtain high-quality reconstructed images of layered defects.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.

Similar content being viewed by others

REFERENCES

  1. Zhong, J., Zhao, C., Ren, J., Liu, X.X., and Zhang, Z.D., A constitutive model for carbon fiber reinforced epoxy resin laminate under compression load: Considering the initial non-linearity, Appl. Compos. Mater., 2021, vol. 29, pp. 629–649.

    Article  Google Scholar 

  2. Dilonardo, E., Nacucchi, M., De Pascalis, F., Zarrelli, M., and Giannini, C., Inspection of carbon fibre reinforced polymers: 3D identification and quantification of components by X-ray CT, Appl. Compos. Mater., 2022, vol. 29, pp. 497–513.

    Article  CAS  Google Scholar 

  3. Boubenia, R., Rosenkrantz, E., Despetis, F., Combette, P., and Ferrandis, J.-Y., Particulate metal composites as backing for ultrasonic transducers for continuous non-destructive measurements at moderate and high temperatures, IEEE Trans. Ultrason. Ferroelectr. Freq. Cont., 2020, vol. 67, no. 10, pp. 2164–2175.

    Article  CAS  Google Scholar 

  4. Xiang, Y.X., Ma, C.Y., Deng, J.M.X., and Xuan, F.Z., Lamb wave mode and frequency selection for assessment of creep damage in titanium alloy plates, Insight, 2017, vol. 59, no. 4, p. 196.

    Article  CAS  Google Scholar 

  5. Ahmadzadeh, G.R., Shirazi, A., and Varvani-Farahani, A., Damage assessment of CFRP [90/±45/0] composite laminates over fatigue cycles, Appl. Compos. Mater., 2011, vol. 18, pp. 559–569.

    Article  Google Scholar 

  6. Adam, G. and Anita, O.-G., Application of Teager–Kaiser’s instantaneous frequency for detection of delamination in CFRP composite materials, Materials, 2021, vol. 14, no. 5, p. 1154.

    Article  Google Scholar 

  7. Choi, H., Li, X., Lau, S.-T., Hu, C.H., Zhou, Q.F., and Shung, K., Development of integrated preamplifier for highfrequency ultrasonic transducer, 2010 IEEE Int. Ultrason. Symp. (San Diego, 2010), pp. 1964–1967.

    Google Scholar 

  8. Chen, W.C., Li, X.J., He, L.Y., Wang, Y.P., Zhu, C.L., and Wu, D.W., Design and fabrication of focused ultrasonic transducers using P(VDF-TrFE)/BT single-crystal micro-platelets composite film, 2020 IEEE Int. Ultrason. Symp., (Chicago, 2020), pp. 1–3.

    Google Scholar 

  9. Seviaryna, I., Bueno, H., Maeva, E., and Tjong, J., Characterization of natural fibre-reinforced composites with advanced ultrasonic techniques, 2014 IEEE Int. Ultrason. Symp., (Chicago, 2014), pp. 1428–1431.

    Google Scholar 

  10. Lin, X. and Yuan, F.G., Diagnostic Lamb waves in an integrated piezoelectric sensor/actuator plate: Analytical and experimental studies, Smart Mater. Struct., 2001, vol. 10, pp. 907–913.

    Article  Google Scholar 

  11. Lin, X. and Yuan, F.G., Detection of multiple damages by prestack reverse-time migration, AIAA J., 2001, vol. 39, pp. 2206–2224.

    Article  Google Scholar 

  12. Giridhara, G., Rathod, V.T., Naik, S., Roy Mahapatra, D., and Gopalakrishnan, S., Rapid localization of damage using a circular sensor array and Lamb wave based triangulation, Mech. Syst. Signal Process., 2010, vol. 24, pp. 2929–2946.

    Article  Google Scholar 

  13. Kudela, P., Radzienski, M., Ostachowicz, W., and Yang, Z.B., Structural health monitoring system based on a concept of Lamb wave focusing by the piezoelectric array, Mech. Syst. Signal Process., 2018, vol. 108, pp. 21–32.

    Article  Google Scholar 

  14. Tua, P.S., Quek, S.T., and Wang, Q., Detection of cracks in plates using piezo-actuated Lamb waves, Smart Mater. Struct., 2004, vol. 13, pp. 643–660.

    Article  Google Scholar 

  15. Ridwan Effendi, M., Anis Sekar Ningrum, F., Amalia Amri, N., Abubakar, B., Risnanto, S., and Munir, A., Interpolation effect on FBP-based image reconstruction of measured L-band microwave tomography, 2021 IEEE Int. Conf. Comm. Networks Satell. (COMNETSAT) (Purwokerto, 2021), pp. 290–293.

  16. Chen, L., Xiao, Q., and Wei, L., A time of flight revising approach to improve the image quality of Lamb wave tomography for the detection of defects in composite panels, Eng. Compos. Mater., 2018, vol. 25, no. 3, pp. 587–592.

    Article  CAS  Google Scholar 

  17. Tao, X., Zhang, H., Wang, Y., Yan, G., Zeng, D., Chen, W.F., and Ma, J.H., VVBP-Tensor in the FBP algorithm: its properties and application in low-dose CT reconstruction, IEEE Trans. Med. Imaging, 2020, vol. 39, no. 3, pp. 764–776.

    Article  Google Scholar 

  18. Zeng, G.L. and Divkovic, Z., An extended Bayesian-FBP algorithm, IEEE Trans. Nucl. Sci., 2016, vol. 63, no. 1, pp. 151–156.

    Article  Google Scholar 

  19. Chetih, N. and Messali, Z., Tomographic image reconstruction using filtered back projection (FBP) and algebraic reconstruction technique (ART), 3rd Int. Conf. Cont. Eng. Inf. Technol. (CEIT) (Tlemcen, 2015), pp. 1–6.

  20. Sarode, V., Patkar, S., and Cheeran, A.N., Comparison of 2-D algorithms in ElT based image reconstruction, Int. J. Comput. Appl., 2013, vol. 69, no. 8, pp. 6–11.

    Google Scholar 

  21. Shen, Y. and Giurgiutiu, V., Predictive, simulation of nonlinear ultrasonics, Proc. Health Monit. Struct. Biol. Syst. Conf. (San Diego, 2012).

  22. Shen, Y.F. and Giurgiutiu, V., Predictive modeling of nonlinear wave propagation for structural health monitoring with piezoelectric wafer active sensors, J. Intell. Mater. Syst. Struct., 2014, vol. 25, pp. 506–520.

    Article  Google Scholar 

  23. Liu, H., Liao, Y., Yang, T., and Chen, C., Image interpolation algorithm based on computational verb theory, Int. Conf. Anti-Counterfeiting Secur. Identif. (Chengdu, 2010), pp. 269–272.

  24. Huang, L.P., Zeng, L., Lin, J., and Luo, Z., An improved time reversal method for diagnostics of composite platesusing Lamb waves, Compos. Struct., 2018, vol. 190, pp. 10–19.

    Article  Google Scholar 

  25. Perov, D.V., Rinkevich, A.B., and Smorodinskii, Y.G., Wavelet filtering of signals from ultrasonic flaw detector, Russian Journal of Nondestructive Testing, 2002, vol. 38, no. 12, pp. 869–882.

  26. Luo, K., Chen, L., and Liang, W., Structural health monitoring of carbon fiber reinforced polymer composite laminates for offshore wind turbine blades based on dual maximum correlation coefficient method, Renewable Energy, 2022 (in press).

  27. Chen, Y.Q., Luo, K., Chen, L., Weng, H., and Liang, W., Application of edge detection based on hexagonal image structure to delamination detection of carbon fiber reinforced polymer material, Smart Mater. Struct., 2022, vol. 31, p. 045006.

  28. Yan, G., A Bayesian approach for damage localization inplate-like structures using Lamb waves, Smart Mater. Struct., 2013, vol. 22, p. 035012.

  29. Luo, K., Chen, L., and Wei, L., A dual-scale morphological filtering method for composite damage identification using FBP, Mechanical Systems and Signal Processing, 2023, vol. 184, p. 109683.

  30. Luo, K., Chen, L., and Wei, L., Experiment on Lamb wave tomography of aluminum plate dased on Fan beam-scanning, Russian Journal of Nondestructive Testing, 2022, vol. 58, pp. 268–276.

Download references

ACKNOWLEDGMENTS

The authors thank the anonymous reviewers for their constructive comments.

Funding

This work was supported by China Postdoctoral Science Foundation (145067).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liang Chen.

Ethics declarations

CONFLICT OF INTEREST

The authors declare that they have no known competing financial or other interests or personal relationships that could have appeared to influence the work reported in this paper.

DATA AVAILABILITY

The data that support the findings of this study are available from the corresponding authors upon reasonable request.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luo, K., Chen, L. & Liang, W. Numerical Simulation of Carbon Fiber Reinforced Polymer Composite Delamination Damage Identification Using Lamb Wave and Filtered Back-Projection Method. Russ J Nondestruct Test 58, 917–925 (2022). https://doi.org/10.1134/S1061830922700024

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1061830922700024

Keywords:

Navigation