Advertisement

An Entropy Approach for Characterization and Assessment of Fatigue Damage Accumulation in Q235 Steel Based on Acoustic Emission Testing

  • Zhonghui Jia
  • Jianyu Li
  • Gang Qi
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 218)

Abstract

An understanding of damage accumulation in structural steel materials is of vital importance to the fatigue community in both academia and industry. A novel entropy-based approach is introduced to characterize and assess the fatigue damage accumulation in Q235 steel material. The presented technique is based on acoustic emission (AE) testing taking account into the valuable signal parameters extracted from the captured AE signals in the combination of static and dynamic cyclic loading procedures. Data from AE parameters are used as inputs for a multicomponent variate DA, which provides efficient statistical description of the fatigue damage state, enabling an assessment by the entropy method. The key aspects of this investigation include (1) the AE test with a new experimental paradigm fusing static and dynamic cyclic loading procedures, (2) the establishment of a multicomponent variate DA-based AE data, and (3) the assessment of fatigue damage accumulation using entropy-based method. These results open perspectives for predicting fatigue life and real-time damage recognition in Q235 steel material.

Key words

Q235 steel Metal fatigue Acoustic emission Probability entropy SEM 

Notes

Acknowledgment

The authors would like to appreciate Dr. Steven F. Wayne’s kind help. Without the SEM analysis provided by him, this work couldn’t be completed so far. As a new graduate student, without my supervisor Prof. Li’s significant support, I couldn’t finish this work with only more than a half of a year’s AE learning. The same authors would like to thank Dr. Yingli Zhu (Tianjin University of Science and Technology) for his support and encouragement. The authors appreciate all the people who have offered help to this innovative work. Thanks again!

References

  1. 1.
    E.D. Norman, Mechanical Behavior of Materials (Pearson Education, London, 2013), pp. 282–305Google Scholar
  2. 2.
    L. Chen, L.X. Cai, Research on fatigue crack growth behavior of materials by considering the fatigue damage near the crack tip. Chin. J. Mech. Eng. 48(20), 54–59 (2012)ADSGoogle Scholar
  3. 3.
    Y.J. Shang, Reliability analysis method for fatigue crack grown life of axle. J. Lanzhou Railway Univ. 4, 44–46 (2003)Google Scholar
  4. 4.
    X.L. Zheng, X. Xie, X.Z. Li, et al., Estimation model for steel wire crack propagation and its application in calculation of pre-corrosion fatigue life. Chin. Civil Eng. J. 50(3), 101–107 (2017)Google Scholar
  5. 5.
    S. Siddique, M. Awd, J. Tenkamp, et al., Development of a stochastic approach for fatigue life prediction of AlSi12 alloy processed by selective laser melting. Eng. Fail. Anal. 79, 34–50 (2017)CrossRefGoogle Scholar
  6. 6.
    S.M. Du, S.R. Qiao, Damage evolution of 3D-C/Sic composite during fatigue based on variation of elastic modulus. J. Mech. Strength 34(4), 604–607 (2012)MathSciNetGoogle Scholar
  7. 7.
    M.G.F. Ana, R. Gabriel, F.D. José, et al., An investigation of bending fatigue crack propagation in structural steel by the measurement of indirect parameters. J. Braz. Soc. Mech. Sci. Eng. 37(1), 305–312 (2015)CrossRefGoogle Scholar
  8. 8.
    S. Blasón, C. Rodríguez, J. Belzunce, C. Suárez, Fatigue behaviour improvement on notched specimens of two different steels through deep rolling, a surface cold treatment. Theor. Appl. Fract. Mech. 92, 223–228 (2017). ISSN 0167-8442CrossRefGoogle Scholar
  9. 9.
    T.P. Philippidis, T.T. Assimakopoulou, Using acoustic emission to assess Shear strength degradation in FRP composites due to constant and variable amplitude fatigue loading. Compos. Sci. Technol. 68, 840–847 (2008)CrossRefGoogle Scholar
  10. 10.
    R.M.N. Fleury, D. Nowell, Evaluating the influence of residual stresses and surface damage on fatigue life of nickel superalloys. Int. J. Fatigue 105, 27–33 (2017). ISSN 0142-1123CrossRefGoogle Scholar
  11. 11.
    S. Siddique, M. Awd, J. Tenkamp, F. Walther, Development of a stochastic approach for fatigue life prediction of AlSi12 alloy processed by selective laser melting. Eng. Fail. Anal. 79, 34–50 (2017). ISSN 1350-6307CrossRefGoogle Scholar
  12. 12.
    X. Yuan, C. Li, An engineering high cycle fatigue strength prediction model for low plasticity burnished samples. Int. J. Fatigue 103, 318–326 (2017). ISSN 0142-1123CrossRefGoogle Scholar
  13. 13.
    L. Zhang, M. Fan, J. Li, Statistical analysis of events of random damage in assessing fracture process in paper sheets under tensile load, in Proceeding of the World Conference on Acoustic Emission-2013, vol. 158(3), (Springer, Shanghai, 2015), pp. 267–281Google Scholar
  14. 14.
    G. Qi, M. Fan, S.F. Wayne, Measurements of a multicomponent variate in assessing evolving damage states using a polymeric material. IEEE Trans. Instrum. Meas. 60(1), 206–213 (2011)CrossRefGoogle Scholar
  15. 15.
    G. Qi, P. Jose, Z. Fan, 3-D AE visualization of bone-cement fatigue locations. J. Biomed. Mater. Res. 52(2), 256–260 (2000)CrossRefGoogle Scholar
  16. 16.
    G. Qi, S.F. Wayne, G. Lewis, et al., Probabilistic characteristics of random damage events and their quantification in acrylic bone cement. J. Mater. Sci. Mater. Med. 21, 2915–2922 (2010)CrossRefGoogle Scholar
  17. 17.
    G. Qi, A.A. Barhorst, On predicting the fracture behavior of CFR and GFR composites using wavelet-based AE techniques. Eng. Fracture Mech. 58(4), 363–385 (1997)CrossRefGoogle Scholar
  18. 18.
    G. Qi, J. Li, M. Fan, Assessment of statistical responses of multi-scale damage events in an acrylic polymeric composite to the applied stress. Probabilistic Eng. Mech. 33(11), 103–115 (2013)CrossRefGoogle Scholar
  19. 19.
    S. Wei, G. Wang, J. Yu, Y. Rong, Competitive failure analysis on tensile fracture of laser-deposited material for martensitic stainless steel. Mater. Des. 118, 1–10 (2017). ISSN 0264-1275CrossRefGoogle Scholar
  20. 20.
    Y. Ogawa, D. Birenis, H. Matsunaga, A. Thøgersen, Ø. Prytz, O. Takakuwa, J. Yamabe, Multi-scale observation of hydrogen-induced, localized plastic deformation in fatigue-crack propagation in a pure iron. Scr. Mater. 140, 13–17 (2017). ISSN.1359-6462CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Zhonghui Jia
    • 1
  • Jianyu Li
    • 1
  • Gang Qi
    • 2
  1. 1.Tianjin University of Science & TechnologyTianjinChina
  2. 2.University of MemphisMemphisUSA

Personalised recommendations