Prediction of Pitting Corrosion–Induced Perforation of Ductile Iron Pipes
Publication: Journal of Engineering Mechanics
Volume 143, Issue 8
Abstract
The increasing rate of deterioration of buried pipelines has necessitated the development of a robust assessment method for their structural integrity and service life prediction. Among various deterioration mechanisms, ductile iron pipes are most prone to pitting corrosion and subsequent leakages. This paper intends to develop a methodology to predict the perforation induced by pitting corrosion on buried ductile pipes. The methodology integrates the random fields, gamma process, and copulas into an interrelated simulation algorithm for reliability analysis of pipe perforation. It is found that the average value of a pit depth predicted by the developed method is in good agreement with the theoretical mean of the proposed gamma process for pitting corrosion. It is also found that selecting an appropriate copula which models the dependent behavior of corrosion pits on pipes is very important to accurately predict pipe perforation. The paper concludes that the developed methodology can accurately predict the perforation of ductile iron pipe induced by pitting corrosion. Proactive asset management of buried pipelines can lead to considerable savings of resources and prolonged service life.
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Acknowledgments
Financial support from Australian Research Council under DP140101547, LP150100413, and DP170102211 is gratefully acknowledged.
References
Alamilla, J. L., Espinosa-Medina, M. A., and Sosa, E. (2009). “Modelling steel corrosion damage in soil environment.” Corros. Sci., 51(11), 2628–2638.
AS/NZS (Australian/New Zealand Standard). (2012). “Ductile iron pipes and fittings.”, SAI Global Ltd., Sydney, NSW, Australia.
Bouyé, E., Durrleman, V., Nikeghbali, A., Riboulet, G., and Roncalli, T. (2000). “Copulas for finance—A reading guide and some applications.” ⟨http://ssrn.com/abstract=1032533⟩ (Mar. 7, 2000).
Cole, I. S., and Marney, D. (2012). “The science of pipe corrosion: A review of the literature on the corrosion of ferrous metals in soils.” Corros. Sci., 56, 5–16.
Fischer, M., Köck, C., Schlüter, S., and Weigert, F. (2009). “An empirical analysis of multivariate copula models.” Quant. Finance, 9(7), 839–854.
Hertzberg, R. W., Vinci, R. P., and Hertzberg, J. L. (2013), Deformation and fracture mechanics of engineering materials, 5th Ed., Wiley, New York.
Isogai, T., Katano, Y., and Miyata, K. (2004). “Models and inference for corrosion pit depth data.” Extremes, 7(3), 253–270.
Kleiner, Y., and Rajani, B. (2013). “Performance of ductile iron pipes. II: Sampling scheme and inferring the pipe condition.” J. Infrastruct. Syst., 120–128.
Kleiner, Y., Rajani, B., and Krys, D. (2013). “Performance of ductile iron pipes. I: Characterization of external corrosion patterns.” J. Infrastruct. Syst., 108–119.
Laycock, P. J., Cottis, R. A., and Scarf, P. A. (1990). “Extrapolation of extreme pit depths in space and time.” J. Electrochem. Soc., 137(1), 64–69.
Makar, J. M., Desnoyers, R., and McDonald, S. E. (2001). “Failure modes and mechanisms in gray cast iron pipe.” National Research Council Canada, Ottawa.
McNeil, A. J., Frey, R., and Embrechts, P. (2005). Quantitative risk management: Concepts, techniques and tools, Princeton University Press, Princeton, NJ.
Melchers, R. E. (1999). Structural reliability analysis and prediction, 2nd Ed., Wiley, Chichester, U.K.
Melchers, R. E. (2005). “Statistical characterization of pitting corrosion. Part 1: Data analysis.” Corrosion, 61(7), 655–664.
Mohebbi, H., and Li, C. Q. (2011). “Experimental investigation on corrosion of cast iron pipes.” Int. J. Corros., 2011, 1–17.
Nelson, R. B. (2006). An introduction to copulas, 2nd Ed., Springer, New York.
Peterson, R. B., and Melchers, R. E. (2013). “Long term corrosion of cast iron cement lined pipes.” Proc., Corrosion and Prevention Conf., Australasian Corrosion Association, Inc., Kerrimuir, VIC, Australia.
Rajani, B., and Abdel-Akher, A., (2012). “Re-assessment of resistance of cast iron pipes subjected to vertical loads and internal pressure.” Eng. Struct., 2012(45), 192–212.
Rivas, D., Caleyo, F., Valor, A., and Hallen, J. M. (2008). “Extreme value analysis applied to pitting corrosion experiments in low carbon steel: Comparison of block maxima and peak over threshold approaches.” Corros. Sci., 50(11), 3193–3204.
Rossum, J. R. (1969). “Prediction of pitting rates in ferrous metals from soil parameters.” J. Am. Water Works Assoc., 61(6), 305–310.
Scarf, P. A., Cottis, R. A., and Laycock, P. J. (1992). “Extrapolation of extreme pit depths in space and time using the r deepest pit depths.” J. Electrochem. Soc., 139(9), 2621–2627.
Sheikh, A. K., Boah, J. K., and Hanse, D. A. (1990). “Statistical modelling of pitting corrosion and pipeline reliability.” Corrosion, 46(3), 190–197.
Shibata, T. (1994). “Application of extreme value statistics to corrosion.” J. Res. Natl. Inst. Stand. Technol., 99(4), 327.
Stewart, M. G., and Mullard, J. A. (2007). “Spatial time-dependent reliability analysis of corrosion damage and the timing of first repair for RC structures.” Eng. Struct., 29(7), 1457–1464.
Vanmarke, E. (2010). Random fields: Synthesis and analysis, 2nd Ed., World Scientific, Singapore.
Van Noortwijk, J. M. (2009). “A survey of the application of gamma processes in maintenance.” Reliab. Eng. Syst. Saf., 94(1), 2–21.
Velazquez, J. C., Caleyo, F., Valor, A., and Hallen, J. M. (2009). “Predictive model for pitting corrosion in buried oil and gas pipelines.” Corrosion, 65(5), 332–342.
Yamijala, S., Guikema, S. D., and Brumbelow, K. (2009). “Statistical models for the analysis of water distribution system pipe break data.” Reliab. Eng. Syst. Saf., 94(2), 282–293.
Ye, Z. S., and Xie, M. (2015). “Stochastic modelling and analysis of degradation for highly reliable products.” Appl. Stochastic Models Bus. Ind., 31(1), 16–32.
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Published In
Journal of Engineering Mechanics
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Oct 21, 2015
Accepted: Jan 4, 2017
Published online: Mar 22, 2017
Published in print: Aug 1, 2017
Discussion open until: Aug 22, 2017
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