Extreme value analysis applied to pitting corrosion experiments in low carbon steel: Comparison of block maxima and peak over threshold approaches

Corrosion Science

Volumn 50, Issue 11, 2008, Pages 3193-3204

  Rivas, D ^a   Caleyo, F ^a   Valor, A ^b   Hallen, J M ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b UNIVERSITY OF HAVANA   (Cuba)

Author keywords

A. Low carbon steel; B. Extreme value statistics; C. Pitting corrosion

Indexed keywords

CARBON; CARBON STEEL; CORROSION; STEEL; STEEL PIPE; SUPERCONDUCTING WIRE;

A. LOW CARBON STEEL; B. EXTREME VALUE STATISTICS; BURIED LINE PIPES; C. PITTING CORROSION; EXTREME VALUES; LOW CARBON STEELS; MAXIMUM DEPTHS; MEASURING; PEAK OVER THRESHOLDS; PIT DEPTHS; PITTING CORROSIONS; SAMPLING METHODS; THRESHOLD APPROACHES;

PITTING;

EID: 54049093929     PISSN: 0010938X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.corsci.2008.08.002     Document Type: Article

References (25)

1. Nessin M. Estimating the risk of pipeline failure due to corrosion. In: Revie W. (Ed). Uhlig's Corrosion Handbook. second ed. (2000), John Wiley & Sons, Inc. p. 85
2. F. Caleyo, L. Alfonso, J.A. Alcántara, J.M. Hallen, F. Fernández Lagos, H. Chow, On the estimation of failure rates of multiple pipeline systems, in: Proceedings of IPC2006: 6th International Pipeline Conference (ASME), Paper No. 10526, September 25-29, 2006, Calgary, Alberta, Canada.
3. Sheikh A.K., Boah J.K., and Hansen D.A. Statistical modeling of pitting corrosion and pipeline reliability. Corrosion 46 (1990) 190-196
4. In: Kowaka M. (Ed). Introduction to Life Prediction of Industrial Plant Materials: Application of the Extreme Value Statistical Method for Corrosion Analysis (1994), Allerton Press, Inc., New York 30
5. Aziz P.M. Application of the statistical theory of extreme values to the analysis of maximum pit depth data for aluminum. Corrosion 13 (1956) 495-506
6. Shibata T. Statistical and stochastic approaches to localized corrosion. Corrosion 52 (1996) 813-830
7. Coles S. An Introduction to Statistical Modeling of Extreme Values, Springer Series in Statistics (2001), Springer-Verlag, London, UK p. 47
8. Castillo E., Hadi A.S., Balakrishnan N., and Sarabia J.M. Extreme Value and Related Models with Applications in Engineering and Science (2005), John Wiley & Sons, Inc., Hoboken, New Jersey p. 236
9. Strutt J.E., Nicholls J.R., and Barbier B. The prediction of corrosion by statistical analysis of corrosion profiles. Corrosion Science 5 (1985) 305-315
10. Marsh G.P., and Taylor K.J. An assessment of carbon steel containers for radioactive waste disposal. Corrosion Science 3 (1988) 289-320
11. El-Jabi N., Ashkar F., and Hebabi S. Regionalization of floods in New Brunswick (Canada). Stochastic Hydrology and Hydraulics 12 (1998) 65-82
12. Simiu E., and Heckert N.A. Extreme wind distribution tails: a "peaks over threshold" approach. Journal of Structural Engineering 122 (1996) 539-547
13. Anderson C.W., and Coles S.G. The largest inclusions in a piece of steel. Extremes 5 (2002) 237-252
14. Pickands J. Statistical inference using extreme order statistics. Annals of Statistics 3 (1975) 119-131
15. Davison A.C., and Smith R.L. Models for exceedances over high thresholds (with discussion). Journal of the Royal Society: Series B (Statistical Methodology) 52 (1990) 393-442
16. J.C. Velázquez, F. Caleyo, A. Valor, J.M. Hallen, J.H. Espina-Hernández, A. López-Montenegro, Statistical modeling of pitting corrosion in buried pipelines taking into account soil properties, in: Proceedings of IPC2008: 7th International Pipeline Conference (ASME), Paper No. 64140, September 29 -October 3, 2008, Calgary, Alberta, Canada.
17. Specification for Line Pipe, API Specification 5L, 43rd ed. American Petroleum Institute, 2004.
18. Szklarska-Smialowska Z. Pitting and Crevice Corrosion (2005), NACE International, Houston, TX p. 129
19. Castillo E. Extreme Value Theory in Engineering (1988), Academic Press, Inc., San Diego p. 186
20. ε, ASTM - West Conshohoken, PA, 2000.
21. Valor A., Rivas D., Caleyo F., and Hallen J.M. Discussion: statistical characterization of pitting corrosion - part 1: data analysis and part 2: probabilistic modeling for maximum pit depth. Corrosion 63 (2007) 107-113
22. Embrechts P., Klüppelberg C., and Mikosch T. Modelling Extremal Events for Insurance and Finance. Springer Series in Applications of Mathematics - Stochastic Modelling and Applied Probability (1997), Springer-Verlag, Berlin Heidelberg, Germany p. 294
23. R 2.3.1 - A Language and Environment, 2006. Available at: www.r-project.org.
24. D.D. Macdonald, G.R. Engelhardt, Unification of the deterministic and statistical approaches for predicting localized corrosion damage in aircraft aluminum alloys. Presented at 9th Joint FAA/DoD/NASA Conference on Aging Aircraft, Georgia, USA, 2006. Available at: .
25. Laycock N., Hodges S., Krouse D., Keen D., and Laycock P. Pitting of carbon steel heat exchanger tubes in industrial cooling water systems. Journal of Corrosion Science and Engineering 6 (2003) 24