Skip to main content
SpringerLink
Log in

Damage Detection for Laminated Composites Using Full-Field Digital Image Correlation

  • Published:
Journal of Nondestructive Evaluation Aims and scope Submit manuscript

Abstract

Laminated composites are complex multifunctional materials and often endure barely visible damage which is characterised by matrix cracks and fiber damage leading to delamination. These composites are often used in safety-critical industries such as aeronautical and automotive industries which makes it crucial to have techniques to assess damage before and during use. This paper presents full-field digital image correlation (DIC) as a method for damage detection in laminated composites under static loading conditions. Full-field DIC is an optical measuring system used to assess deformation data (i.e. displacement and strain) in any component under various loading conditions. Assuming that the damage changes the mechanical properties, the method is applied here to detect changes in stiffness caused by barely visible impact damage in laminated composites. It is shown in the experimental findings that full-field DIC has the capability to detect barely visible damage caused by various impact energies in laminated composites, provided that the excitation or form of loading is applied near the impacted area.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Jareteg, C., Wärmefjord, K., Cromvik, C., Söderberg, R., Lindkvist, L., Carlson, J., Larsson, S., Edelvik, F.: Geometry assurance integrating process variation with simulation of spring-in for composite parts and assemblies. J. Comput. Inf. Sci. Eng. 10, 12 (2014). https://doi.org/10.1115/1.4033726

    Article  Google Scholar 

  2. Matthews, F.L., Rawlings, R.D.: Composite Materials: Engineering and Science. CRC Press, New York (1999)

    Google Scholar 

  3. Park, J.H., Hwang, J.H., Lee, C.S., Hwang, W.: Stacking sequence design of composite laminates for maximum strength using genetic algorithms. Compos. Struct. 52(2), 217–231 (2001)

    Article  Google Scholar 

  4. Gholizadeh, S.: A review of non-destructive testing methods of composite materials. Proc. Struct. Integr. 1(2016), 050–057 (2016)

    Google Scholar 

  5. Meyendorf, N.G.H., Nagy, P.B., Rokhlin, S.: Nondestructive Materials Characterization: With Applications to Aerospace Materials. Springer, Berlin (2013)

    Google Scholar 

  6. Manes, A., Nunes, S., González-Jiménez, A., Amico, S., Giglio, M.: Comparison of non-destructive techniques for impact damage area assessment in aramid/epoxy composites. Proceedings 2018(2), 437 (2018)

    Google Scholar 

  7. Garney, G.: Defects Found Through Non-destructive Testing Methods of Fiber Reinforced Polymeric Composites. California State University, Fullerton (2006)

    Google Scholar 

  8. Kersemans, M., Verboven, E., Segers, J., Hedayatrasa, S., Van Paepegem, W.: Non-destructive testing of composites by ultrasound local defect resonance and thermography. Proceedings 2018(2), 554 (2018)

    Article  Google Scholar 

  9. Kessler, S.S., Spearing, S.M., Atalla, M.J., Cesnik, C.E.S., Soutis, C.: Damage detection in composite materials using frequency response methods. Compos. Part B 33, 87–9 (2002)

    Article  Google Scholar 

  10. Banks, H.T., Emeric, P.R.: Detection of non-symmetrical damage in smart plate-like structures. NASA/CR-1998–206931 (1998)

  11. Chrysafi, A.P., Athanasopoulos, N., Siakavellas, N.J.: Damage detection on composite materials with active thermography and digital image processing. Int. J. Therm. Sci. 116(2017), 242–253 (2017)

    Article  Google Scholar 

  12. Faria, A.W., Silve, R.A., Koroishi, E.H.: Matrix damage detection in laminated composite structures by discrete and continuous wavelet transforms using vibration modes. J. Aerospace Technol. Manag. 9(4), 431–441 (2017)

    Article  Google Scholar 

  13. Spiegel, M.D.: Damage detection in composite materials using lead zirconate titanate. (Msc). University of Alabama (2014)

  14. Rauter, N., Lammering, R.: Impact damage detection in composite structures considering nonlinear lamb wave propagation. Mech. Adv. Mater. Struct. 22(1–2), 44–51 (2015)

    Article  Google Scholar 

  15. Schenk, T.: Introduction to photogrammetry. Department of Civil and Environmental Engineering and Geodetic Science (2005)

  16. WonNam, K., Park, J., Kim, I.-Y., Kim, K.-G.: Application of stereo-imaging technology to medical field. Healthc. Inf. Res. 18(2012), 158–163 (2012)

    Google Scholar 

  17. Dowling, N.E.: Mechanical Behaviour of Materials, 4th edn. Pearson, New York (2013)

    Google Scholar 

  18. Segreto, T., Teti, R., Lopresto, V.: Non-destructive testing of low-velocity impacted composite material laminates through ultrasonic inspection methods (2018)

  19. Aramis. User Manual-Software (2009)

Download references

Author information

Authors and Affiliations

  1. Centre for Asset Integrity Management, University of Pretoria, Pretoria, South Africa

    C. J. Qambela, P. S. Heyns & H. M. Inglis

Authors
  1. C. J. Qambela
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. S. Heyns
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. H. M. Inglis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to C. J. Qambela.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Qambela, C.J., Heyns, P.S. & Inglis, H.M. Damage Detection for Laminated Composites Using Full-Field Digital Image Correlation. J Nondestruct Eval 40, 56 (2021). https://doi.org/10.1007/s10921-021-00785-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10921-021-00785-7

Keywords

Search

Navigation