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

被引：67

作者：

Valor, A. ^{[2
]}

Caleyo, F. ^{[1
]}

Rivas, D. ^{[1
]}

Hallen, J. M. ^{[1
]}

机构：

[1] IPN ESIQIE, Dept Ingn Met, Mexico City 07738, DF, Mexico

[2] Univ La Habana, Fac Fis, Havana 10400, Cuba

来源：

CORROSION SCIENCE | 2010年 / 52卷 / 03期

关键词：

Steel; Modelling studies; Pitting corrosion; UNDERGROUND PIPELINES; INCLUSIONS; GROWTH;

D O I：

10.1016/j.corsci.2009.11.011

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：910 / 915

页数：6

共 18 条

[1] Markov chain modelling of pitting corrosion in underground pipelines [J].