Stochastic Theory of Pitting Corrosion

Shibata, Toshio; Takeyama, Taro

doi:10.5006/0010-9312-33.7.243

Cited by 288 publications

(201 citation statements)

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“…One of the main problems for pitting corrosion investigations is its stochastic initiation [5], which despite numerous works is not totally understood and for which several initiation mechanisms [6] and different possible initiation sites [7][8][9][10][11] have been proposed. This is the reason why the study of pitting corrosion by simply adding an aggressive anion, such as chloride ion, to the electrolytic solution is an intricate problem: it leads for full-immersion conditions to the simultaneous formation of several pits at different stages of development on the material surface, thus making any pitting analysis of this stochastic phenomena very difficult [12;13].…”

Section: Introductionmentioning

confidence: 99%

On the Propagation of Open and Covered Pit in 316l Stainless Steel

Heurtault

Robin

Rouillard

et al. 2016

Electrochimica Acta

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Pitting corrosion on stainless steel has been widely studied during the last decades, but since it is a stochastic process, it remains difficult to analyze experimentally such a phenomenon. In this work, reproducible single pits were performed on 316L steel by using an experimental setup based on the use of a glass microcapillary to locally supply chloride ions on the steel surface in order to characterize the pit propagation. This original approach allowed obtaining new results about pit propagation. Indeed, it was possible to control the presence of a metallic cap recovering the pit by adjusting the experimental parameters (potential -chloride to sulfate ratio -temperature). The presence of this cover was shown to be an important issue concerning the propagation mechanism.It was also possible to study the evolution of both the pit depth and the pit diameter as a function of various parameters. Then, based on the simulation of the current densities at the pit bottom and at the pit aperture, a special attention has been paid for the investigation of the local propagation mechanism.

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Section: Introductionmentioning

confidence: 99%

On the Propagation of Open and Covered Pit in 316l Stainless Steel

Heurtault

Robin

Rouillard

et al. 2016

Electrochimica Acta

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“…The potential at the time the first pit is detected is designated as the pitting potential, Ep. As discussed in detail by Shibata and Takeyama [3,14,15], the stochastic theory of pitting predicts that Ep is actually a distributed quantity for any given v. From a simple algebraic stochastic theory based on birth processes only, Shibata and Takeyama [14,15] Since the Monte Carlo model computes the generation of a stable pit using the concepts of embryo death and a critical embryo age in addition to embryo birth, the relationships between Ep and the embryo birth probability, 2, are more complex than that assumed for deriving eqns. (13).…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Stochastic Modeling of the Influence of Environment on Pitting Corrosion Damage of Radioactive-Waste Containers

Henshall

1994

MRS Proc.

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Thisisa preprintof a paper intended forpublication ina jonmalorpmceedinga Since changes may be made before publication, this preprint is made available with the understanding that it will not be cited or reproduced without the permission of the author. ABSTRACTA physically-based, phenomenological stochastic model for pit initiation and growth is presented as a potential tool for predicting the degradation of high-level radioactive-waste containers by aqueous pitting corrosion. Included in the model are simple phenomenological equations describing the dependence of the controlling stochastic parameters on the applied (or corrosion) potential, chloride ion concentration, and absolute temperature. Results from this model are presented that demonstrate its ability to simulate several important environmental effects on pitting.

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“…6 is properly skewed toward small induction times, with a long "tail" at large induction times. This shape appears to be common experimentally [14,19,21].…”

Section: Experimentallymentioning

confidence: 97%

“…• Some of the stochastic models have been developed using algebraic formulations [12,14,18]. Shibata [17] recently noted, however, that "Monte Carlo" models provide a J microscopic or mechanistic view that is lacking •' the algebraic formulations, and may improve our understanding of pitting.…”

Section: ! 41 Stochastic Pit Initiationmentioning

confidence: 99%

“…Experimental observations like those just described have led to the development of several stochastic pit nucleation models [12,14,15,17,18], with pit growth also being treated stochastically in one case [15]. These models are phenomenological but may be viewed as "mechanistically-inspired" since they have been successfully linked with the accepted electrochemical theories of pitting [13,[17][18][19][20].…”

Section: ! 41 Stochastic Pit Initiationmentioning

confidence: 99%

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Modeling pitting corrosion damage of high-level radioactive-waste containers, with emphasis on the stochastic approach

Henshall¹,

Halsey²,

Clarke³

et al. 1993

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Recent efforts to identify methods of modeling pitting corrosion damage of high-level radioactive-waste containers are described. The need to develop models that can provide information useful to higher level system performance assessment models is emphasized, and examples of i,ow this could be accomplished are described. Work to date has focused upon physically-bas_'t phenomenological stochastic models of pit initiation and growth.These models may provide a way to distill information from mechanistic theories in a way that provides the necessary information to the less detailed performance assessment models. Monte Carlo implementations of the stochastic theory have resulted in simulations that are, at least qualitatively, consistent with a wide variety of experimental data. The effects of environment on pitting corrosion have been included in the model using a set of simple phenomenological equations relating the parameters of the stochastic model to key environmental variables. The results suggest that stochastic models might be useful for extrapolating accelerated test data and for predicting the effects of changes in the environment on pit initiation and growth.Preliminary ideas for integrating pitting models with performance assessment lt 'lt, models are discussed. These ideas include improving the concept of container "failure",• and the use of "rules-of-thumb" to take information from the detailed process models and provide ,,_to the higher level system and subsystem models. Finally, directions for future .... , r-,4-" ',L: '_Yr_

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Stochastic Theory of Pitting Corrosion

Cited by 288 publications

References 0 publications

On the Propagation of Open and Covered Pit in 316l Stainless Steel

On the Propagation of Open and Covered Pit in 316l Stainless Steel

Stochastic Modeling of the Influence of Environment on Pitting Corrosion Damage of Radioactive-Waste Containers

Modeling pitting corrosion damage of high-level radioactive-waste containers, with emphasis on the stochastic approach

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