Stochastic modeling of corrosion growth

Corrosion is a major threat to the structural integrity and safe operation of infrastructures throughout the world. Corrosion growth modeling is important in structure maintenance planning. Existing models focus on the maximum corrosion pit depth growth which may lead to inaccurate life predictions...

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Bibliographic Details
Published inReliability engineering & system safety Vol. 204; p. 107120
Main Authors Wang, Changxi, Elsayed, Elsayed A.
Format Journal Article
LanguageEnglish
Published Barking Elsevier BV 01.12.2020
Subjects
Corrosion
Corrosion effects
Modelling
Reaction mechanisms
Relative humidity
Reliability engineering
Stochastic models
Stochasticity
Structural integrity
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Summary:Corrosion is a major threat to the structural integrity and safe operation of infrastructures throughout the world. Corrosion growth modeling is important in structure maintenance planning. Existing models focus on the maximum corrosion pit depth growth which may lead to inaccurate life predictions since the corrosion volume growth may result in failures before the depth reaches its failure threshold. We develop a stochastic model that characterizes both corrosion volume and depth growth. The distribution of volume growth increments with time and the reliability estimate based on the corrosion depth, the corrosion volume growth and their combined effect are obtained. The influence of stresses, which include the relative humidity, pH level and temperature is incorporated into the model based on the physics of the corrosion reaction mechanisms. Field corrosion data are used for the model's validation. The proposed model results in more accurate predictions of the remaining lives compared with the existing models.
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2020.107120