Skip to main content
Log in

Finite element modeling of local corrosion accelerated by the mechano-electrochemical coupling effect at defects on pipelines under combined effects of internal pressure and axial applied stress

  • Technical Paper
  • Published:
Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

A finite element model was built to assess the combined effects of internal pressure and axial applied stress\(\left( {\sigma_{A} } \right)\) on localized stress concentration and electrochemical corrosion at defects on pipelines under the mechano-electrochemical (M-E) interaction. When defect angle \(\alpha\) (i.e., included angle between the major axis of the defect and longitudinal direction of the pipe) is 90°, the maximum stress of the defect is enlarged remarkably with the increase in \(\sigma_{A}\), leading to electrochemical corrosion at the defect affected greatly under the M-E interaction. However, when \(\alpha\) is 0°, the maximum stress and electrochemical corrosion are affected slightly by the \(\sigma_{A}\). Besides, when the hoop stress of the pipe is larger than its total axial stress, the largest corrosion rate at the defect with \(\alpha\) of 0° would be higher than that at the defect with \(\alpha\) of 90°. Thus, for the improvement of pipeline integrity management, the combined effects of internal pressure and \(\sigma_{A}\) should be taken into account for a more accurate prediction of local corrosion rate at the defect especially with \(\alpha\) of 90°.

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
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

References

  1. Xu LY, Cheng YF (2012) Corrosion of X100 pipeline steel under plastic strain in a neutral pH bicarbonate solution. Corros Sci 64:145–152. https://doi.org/10.1016/j.corsci.2012.07.012

    Article  Google Scholar 

  2. Yajima A, Wang H, Liang RY, Castaneda H (2015) A clustering based method to evaluate soil corrosivity for pipeline external integrity management. Int J Pres Ves Pip 126:37–47. https://doi.org/10.1016/j.ijpvp.2014.12.004

    Article  Google Scholar 

  3. Liu HW, Cheng YF (2017) Mechanism of microbiologically influenced corrosion of X52 pipeline steel in a wet soil containing sulfate-reduced bacteria. Electrochim Acta 253:368–378. https://doi.org/10.1016/j.electacta.2017.09.089

    Article  Google Scholar 

  4. Dai MJ, Liu J, Huang F, Zhang YH, Cheng YF (2018) Effect of cathodic protection potential fluctuations on pitting corrosion of X100 pipeline steel in acidic soil environment. Corros Sci 143:428–437. https://doi.org/10.1016/j.corsci.2018.08.040

    Article  Google Scholar 

  5. Lu YX, Jing HY, Han YD, Xu LY (2018) A finite element model of carbon steel welded joint corrosion under plastic strain. Mater Corros 69:227–238. https://doi.org/10.1002/maco.201709620

    Article  Google Scholar 

  6. Gutman EM (1998) Mechanochemistry of materials. Cambridge Interscience Publishing, Cambridge

    Google Scholar 

  7. Wang HT, Han EH (2013) Simulation of metastable corrosion pit development under mechanical stress. Electrochim Acta 90:128–134. https://doi.org/10.1016/j.electacta.2012.11.056

    Article  Google Scholar 

  8. Xu LY, Cheng YF (2017) A finite element based model for prediction of corrosion defect growth on pipelines. Int J Pres Ves Pip 153:70–79. https://doi.org/10.1016/j.ijpvp.2017.05.002

    Article  Google Scholar 

  9. Fatoba OO, Leiva-Garcia R, Lishchuk SV, Larrosa NO, Akid R (2018) Simulation of stress-assisted localised corrosion using a cellular automaton finite element approach. Corros Sci 137:83–97. https://doi.org/10.1016/j.corsci.2018.03.029

    Article  Google Scholar 

  10. González-Arévalo NE, Velázquez JC, Díaz-Cruz M, Cervantes-Tobón A, Terán G, Hernández-Sanchez E, Capula-Colindres S (2021) Influence of aging steel on pipeline burst pressure prediction and its impact on failure probability estimation. Eng Fail Anal 120:104950. https://doi.org/10.1016/j.engfailanal.2020.104950

    Article  Google Scholar 

  11. Shuai Y, Shuai J, Xu K (2017) Probabilistic analysis of corroded pipelines based on a new failure pressure model. J Eng Fail Anal 81:216–233. https://doi.org/10.1016/j.engfailanal.2017.06.050

    Article  Google Scholar 

  12. Noda NA, Hayashida H (2000) Interaction between elliptical and ellipsoidal inclusions under bending stress fields. Arch Appl Mech 70:612–624. https://doi.org/10.1007/s004190000093

    Article  MATH  Google Scholar 

  13. Kishawy HA, Gabbar HA (2010) Review of pipeline integrity management practices. Int J Pres Ves Pip 87:373–380. https://doi.org/10.1016/j.ijpvp.2010.04.003

    Article  Google Scholar 

  14. Meliani MH, Matvienko YG, Pluvinage G (2011) Corrosion defect assessment on pipes using limit analysis and notch fracture mechanics. Eng Fail Anal 18:271–283. https://doi.org/10.1016/j.engfailanal.2010.09.006

    Article  Google Scholar 

  15. Sun JL, Cheng YF (2018) Assessment by finite element modeling of the interaction of multiple corrosion defects and the effect on failure pressure of corroded pipelines. Eng Struct 165:278–286. https://doi.org/10.1016/j.engstruct.2018.03.040

    Article  Google Scholar 

  16. Sun JL, Cheng YF (2019) Investigation by numerical modeling of the mechano-electrochemical interaction of circumferentially aligned corrosion defects on pipelines. Thin Walled Struct 144:106314. https://doi.org/10.1016/j.tws.2019.106314

    Article  Google Scholar 

  17. Xu LY, Cheng YF (2012) An experimental investigation of corrosion of X100 pipeline steel under uniaxial elastic stress in a near-neutral pH solution. Corros Sci 59:103–111. https://doi.org/10.1016/j.corsci.2012.02.022

    Article  Google Scholar 

  18. Xu LY, Cheng YF (2013) Development of a finite element model for simulation and prediction of mechanoelectrochemical effect of pipeline corrosion. Corros Sci 73:150–160. https://doi.org/10.1016/j.corsci.2013.04.004

    Article  Google Scholar 

  19. Kim YJ, Son BG (2004) Finite element based stress concentration factors for pipes with local wall thinning. Int J Pres Ves Pip 81:897–906. https://doi.org/10.1016/j.ijpvp.2004.06.002

    Article  Google Scholar 

  20. Ji J, Zhang CS, Kodikara J, Yang SQ (2015) Prediction of stress concentration factor of corrosion pits on buried pipes by least squares support vector machine. Eng Fail Anal 55:131–138. https://doi.org/10.1016/j.engfailanal.2015.05.010

    Article  Google Scholar 

  21. Zhang J, Liang Z, Han CJ (2015) Effects of ellipsoidal corrosion defects on failure pressure of corroded pipelines based on finite element analysis. Int J Electrochem Sci 10:5036–5047

    Google Scholar 

  22. Adib H, Jallouf S, Schmitt C, Carmasol A, Pluvinage G (2007) Evaluation of the effect of corrosion defects on the structural integrity of X52 gas pipelines using the SINTAP procedure and notch theory. Int J Pres Ves Pip 84:123–131. https://doi.org/10.1016/j.ijpvp.2006.10.005

    Article  Google Scholar 

  23. Demofontim G, Mannucci G, Hillenbrand HG, Harris D (2004) Evaluation of the suitability of X100 steel pipes for high pressure gas transportation pipelines by full scale tests. Paper presented at the international pipeline conference, Calgary, Alberta, Canada, October 4–8

  24. Chouchaoui BA, Pick RJ (1996) Behaviour of longitudinally aligned corrosion pits. Int J Pres Ves Pip 67:17–35. https://doi.org/10.1016/0308-0161(94)00057-3

    Article  Google Scholar 

  25. ASME B31.4 (2009) Pipeline transportation systems for liquid hydrocarbons and other liquids. The American Society of Mechanical Engineers, New York

    Google Scholar 

  26. Park JJ, Pyun SI, Na KH, Lee SM, Kho YT (2002) Effect of passivity of the oxide film on low-pH stress corrosion cracking of API 5L X-65 pipeline steel in bicarbonate solution. Corros 58:329–336. https://doi.org/10.5006/1.3287682

    Article  Google Scholar 

  27. Liu B, Liu XJ, Zhang H (2009) Strain-based design criteria of pipelines. J Loss Prev Process Ind 22:884–888. https://doi.org/10.1016/j.jlp.2009.07.010

    Article  Google Scholar 

  28. Bagotsky VS (2006) Fundamentals of electrochemistry, 2nd edn. John Wiley and Sons Inc

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhuwu Zhang.

Ethics declarations

Conflict of interest

We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.

Additional information

Technical Editor: João Marciano Laredo dos Reis.

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

Zhang, Z., Chen, S. Finite element modeling of local corrosion accelerated by the mechano-electrochemical coupling effect at defects on pipelines under combined effects of internal pressure and axial applied stress. J Braz. Soc. Mech. Sci. Eng. 43, 269 (2021). https://doi.org/10.1007/s40430-021-02990-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40430-021-02990-x

Keywords

Navigation