Corrosion phases of structural shapes exposed to the atmosphere

Angel, Francisco Casanova del; Butrón, Rafael Toquiantzi

doi:10.1016/j.corsci.2008.05.015

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…This shows that, in effect, the corrosion process occurs in 5 phases. In our case, the first phase is related to the effluent effect; the second one is transition of humidity excess effect; the third one is first phase of corrosion effect; the fourth one is transition of corrosion effect; and the fifth and last one is stabilization of corrosion effect [9].…”

Section: Discussion Of Resultsmentioning

confidence: 77%

Analytical Model on Steel Tanks Damaged by Corrosion

Casanova-del-Angel¹,

Gaytán-López²

2015

WJM

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The mechanical behavior of steel employed in the hull of a steel tank damaged by corrosion has been analyzed. The tank was used to filter a deep-water well for an 8-year period. Influence of porosity and dissolution of material may be introduced in the main constitutive relation adding a new damage variable C, which describes electrochemical damage. An elastoplastic theoretical model coupled to damage of a member, and other for damage related to thermodynamic energy are developed. This theoretical development has been used to analyze mechanical behavior of steel used in the body of a steel tank damaged by corrosion in water purifier plants, Eastern System, Mexico City, where three of every ten filters show excessive corrosion inside the steel plate filtration tanks. With samples taken from steel of the tank's hull and reinforcement of false bottom supporting filtering material inside the tank, metallography tests were carried out; localized and generalized types of corrosion were determined, as well as the type of corrosion composites generated due to anticorrosive coating used inside the tank from its manufacturing.

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Section: Discussion Of Resultsmentioning

confidence: 77%

Analytical Model on Steel Tanks Damaged by Corrosion

Casanova-del-Angel¹,

Gaytán-López²

2015

WJM

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“…This is because once the cavities have been generated and the film formed, the corrosion rate remains constant, ref. [10].…”

Section: Discussionmentioning

confidence: 99%

Probabilistic Model of Cumulative Damage in Pipelines Using Markov Chains

Casanova-del-Angel¹,

Flores-Méndez²,

Cortes-Yah³

2020

JAMP

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This paper presents a probabilistic model of cumulative damage based on Markov chains theory to model propagation of internal corrosion depth localized in a hydrocarbons transport pipeline. The damage accumulation mechanism is unit jump type, depending on the state. It uses a shock model based on Bernoulli trials and probabilities to remain in the same state or the next one. Data are adjusted to Lognormal distribution and proven with a Kolmogórov-Smirnov test. The vector obtained from multiplying the initial state vector with the transition matrix was developed and the system of equations to find each transition probability with a single inspection report was solved. In order to calculate propagation of internal corrosion after inspection, an exponential equation was proposed and a parameter was adjusted to the data. Time to expected failure was obtained by adding the time expected in each damage state. Each time step was adjusted to real time.

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“…The structures of the network based on different exposure regions or types of steel are quite different [3]. Some previous network models focused on the corrosion properties of conventional steels exposed to inshore atmospheric environment [4][5][6], but little attention was paid to the recently developed bainite steels corroded in the offshore platform circumstance. In this investigation, five types of bainite steel and 09CuPCrNi were exposed and corroded in the offshore platform in Wanning for 1 year.…”

Section: Introductionmentioning

confidence: 99%

Analysis in Atmospheric Corrosion Behavior of Bainite Steel Exposed in Offshore Platform Based on the Artificial Neural Network

Zhang¹,

Yu²,

Yang

et al. 2011

AMR

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Back propagation (BP) neural network model was established, using the corrosion data of five kinds of recently developed bainite weathering steel and the commercial weathering steel 09CuPCrNi exposed in the offshore platform in Wanning. The influences of elements P, Cu, C and Cr on the corrosion behavior of weathering steel were studied according to the model. The experimental results indicate that the corrosion depth of bainite weathering steel corroded for 1 year could decline owing to the increasing contents of P, Cu and Cr in steel while C has little effect on the variation of the corrosion depth.

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Corrosion phases of structural shapes exposed to the atmosphere

Cited by 4 publications

References 7 publications

Analytical Model on Steel Tanks Damaged by Corrosion

Analytical Model on Steel Tanks Damaged by Corrosion

Probabilistic Model of Cumulative Damage in Pipelines Using Markov Chains

Analysis in Atmospheric Corrosion Behavior of Bainite Steel Exposed in Offshore Platform Based on the Artificial Neural Network

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