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

Research output: Contribution to journal › Article › peer-review

55 Scopus citations

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.

Original language	English
Pages (from-to)	910-915
Number of pages	6
Journal	Corrosion Science
Volume	52
Issue number	3
DOIs	https://doi.org/10.1016/j.corsci.2009.11.011
State	Published - Mar 2010
Externally published	Yes

Keywords

A. Steel
B. Modelling studies
C. Pitting corrosion

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10.1016/j.corsci.2009.11.011

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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.

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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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U2 - 10.1016/j.corsci.2009.11.011

DO - 10.1016/j.corsci.2009.11.011

M3 - Artículo

SN - 0010-938X

VL - 52

SP - 910

EP - 915

JO - Corrosion Science

JF - Corrosion Science

IS - 3

ER -

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

Abstract

Keywords

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