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Detection of Acoustic Emission Signal Due to Impact Damage of Composite Materials Based EMD

Conference paper
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Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 549)

Abstract

Drop-weight impact test and small-mass impact test were carried out on composite laminates. The contact force and AE signal were measured during the tests, and the correspondence between AE signals and damage were analyzed respectively. For the drop-weight impact test, the contact force dropped and the frequency of the AE signal increased suddenly when the delamination appeared. Then the AE signal was decomposed using empirical mode decomposition (EMD). The amplitude anomaly were found in the first several intrinsic mode functions (IMFs), which could be used as a signal to characterize damage.; In the small-mass impact test, the contact force and AE signal were investigated in the same way. Additionally, Fourier transform (FFT) was used to find whether there is delamination. Results reveal that when laminates suffers the drop-weight impact, AE signals, combined with EMD, can be used for real-time health monitoring, For the plates impacted by small-mass objects, AE signal, EMD and Fourier transform can be used to determine whether there is delamination in the laminate.

Keywords

Acoustic emission Composite laminates Drop-weight test Small-mass impact test Health monitor 

References

  1. 1.
    Olsson, R. (2000). Mass criterion for wave controlled impact response of composite plates [J]. Composites: Part A, 31(8), 879–887.CrossRefGoogle Scholar
  2. 2.
    Zheng, D., & Binienda, W. K. (2007). Effect of permanent indentation on the delamination threshold for small mass impact on plates [J]. International Journal of Solids and Structures, 44, 8143–8158.CrossRefGoogle Scholar
  3. 3.
    Wenxun, Y., Zhefeng, Y., Baojun, N., et al. (2017). Contact force measurement and response to damage of composite laminates subjected to small-mass impact [J]. Science Technology and Engineering, 17(24), 13–19.Google Scholar
  4. 4.
    Mahdian, A., Yousefi, J., Nazmdar, M., et al. (2016) Damage evaluation of laminated composites under low-velocity impact tests using acoustic emission method [J]. Journal of Composite Materials, 51(4).Google Scholar
  5. 5.
    Hao, C., Xiaoyan, T., Leijang, Y., et. al. (2010). Acoustic emission characteristics of composite laminates under low velocity impact[J]. Mechanical Science and Technology for Aerospace Engineering, 29(11), 1557–1560.Google Scholar
  6. 6.
    Mal, A. K., Shih, F., Banerjee, S. (2003). Acoustic emission waveforms in composite laminates under low velocity impact [J]. Proc Spie, 5047.Google Scholar
  7. 7.
    Johnson, M., Gudmundson, P., Johnson, M., et al. (2001). Experimental and theoretical characterization of acoustic emission transients in composite laminates [J]. Composites Science & Technology, 61(10), 1367–1378.CrossRefGoogle Scholar
  8. 8.
    Fu, T., Liu, Y., Li, Q., et al. (2009). Fiber optic acoustic emission sensor and its applications in the structural health monitoring of CFRP materials[J]. Optics and Lasers in Engineering, 47(10), 1056–1062.CrossRefGoogle Scholar
  9. 9.
    Martínez-Jequier, J. (2015). Real-time damage mechanisms assessment in CFRP samples via acoustic emission Lamb wave modal analysis [J]. Composites Part B, 68(4), 317–326.Google Scholar
  10. 10.
    Selman, E., Ghiami, A., & Alver, N. (2015). Study of fracture evolution in FRP-strengthened reinforced concrete beam under cyclic load by acoustic emission technique: An integrated mechanical-acoustic energy approach [J]. Construction and Building Materials, 95, 832–841.CrossRefGoogle Scholar
  11. 11.
    Mccrory, J. P., Al-Jumaili, S. K., Crivelli, D., et al. (2015). Damage classification in carbon fibre composites using acoustic emission: A comparison of three techniques[J]. Composites Part B Engineering, 68(5), 424–430.CrossRefGoogle Scholar
  12. 12.
    Yang, Y., Sun, X., Yang, S., et al. (2012). Experimental study on compressive failure mechanism of low-velocity-impact-damaged composite aminates[J]. Acta Materiae Compositae Sinica, 29(3):197–202.Google Scholar
  13. 13.
    Zhang, D.L., Xu, D.G., wang, Y. (2000). Demarcation in space domain for local flaw signals of wire ropes and feature extraction in frequency domain based on wavelet transform [J].ACTA ELECTRONICA SINICA, (07), 59–62.Google Scholar
  14. 14.
    Sun, L. Y., Li,Y. B., Qu, Z. G., et al. (2007). Study on acoustic emission detection for pipeline leakage based on EMD signal analysis method [J]. Journal of Vibration and Shock, 26(10), 161–164.Google Scholar
  15. 15.
    Lifeng, Z., Xiaoliang, Z., & Jie, S. (2003). Application of EMD and wavelet transform to the detection of signal singularity [J]. Journal of Ocean University of Qingdao, 33(5), 759–763.Google Scholar
  16. 16.
    Huang, N. E., et al. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. In Proceedings of the Royal Society Lond. A, 44, p 903–995.Google Scholar
  17. 17.
    Shi, Y., Jin-yang, Z., Xia-mei, L. U., et al. (2014) Low-velocity impact response of 3D braided composites by acoustic emission[J]. Journal of Materials Engineering, (7), 92–97.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Aeronautics and AstronauticsShanghai Jiao Tong UniversityShanghaiChina

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