Stochastic approach to pitting-corrosion-extreme modelling in low-carbon steel

A. Valor; F. Caleyo; D. Rivas; J. M. Hallen

doi:10.1016/j.corsci.2009.11.011

Stochastic approach to pitting-corrosion-extreme modelling in low-carbon steel

A. Valor, F. Caleyo, D. Rivas, J. M. Hallen

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

55 Citas (Scopus)

Resumen

A stochastic model previously developed by the authors using Markov chains has been improved in the light of new experimental evidence. The new model has been successfully applied to reproduce the time evolution of extreme pitting corrosion depths in low-carbon steel. The model is shown to provide a better physical understanding of the pitting process.

Idioma original	Inglés
Páginas (desde-hasta)	910-915
Número de páginas	6
Publicación	Corrosion Science
Volumen	52
N.º	3
DOI	https://doi.org/10.1016/j.corsci.2009.11.011
Estado	Publicada - mar. 2010
Publicado de forma externa	Sí

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title = "Stochastic approach to pitting-corrosion-extreme modelling in low-carbon steel",

abstract = "A stochastic model previously developed by the authors using Markov chains has been improved in the light of new experimental evidence. The new model has been successfully applied to reproduce the time evolution of extreme pitting corrosion depths in low-carbon steel. The model is shown to provide a better physical understanding of the pitting process.",

keywords = "A. Steel, B. Modelling studies, C. Pitting corrosion",

author = "A. Valor and F. Caleyo and D. Rivas and Hallen, {J. M.}",

note = "Funding Information: This work was done during a stay by A. Valor at the National Polytechnic Institute (ESIQIE-IPN), Mexico under the research project No. 425018978. Comments provided by the reviewers are deeply appreciated. ",

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AU - Caleyo, F.

AU - Rivas, D.

AU - Hallen, J. M.

N1 - Funding Information: This work was done during a stay by A. Valor at the National Polytechnic Institute (ESIQIE-IPN), Mexico under the research project No. 425018978. Comments provided by the reviewers are deeply appreciated.

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N2 - A stochastic model previously developed by the authors using Markov chains has been improved in the light of new experimental evidence. The new model has been successfully applied to reproduce the time evolution of extreme pitting corrosion depths in low-carbon steel. The model is shown to provide a better physical understanding of the pitting process.

AB - A stochastic model previously developed by the authors using Markov chains has been improved in the light of new experimental evidence. The new model has been successfully applied to reproduce the time evolution of extreme pitting corrosion depths in low-carbon steel. The model is shown to provide a better physical understanding of the pitting process.

KW - A. Steel

KW - B. Modelling studies

KW - C. Pitting corrosion

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DO - 10.1016/j.corsci.2009.11.011

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JO - Corrosion Science

JF - Corrosion Science

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Stochastic approach to pitting-corrosion-extreme modelling in low-carbon steel

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