Detection of Interactions among Localized Pitting Sites on Stainless Steel Using Spatial Statistics

Budiansky, Noah; Organ, Levent; Hudson, J. L.; Scully, J. R.

doi:10.1149/1.1869192

Cited by 32 publications

(25 citation statements)

References 40 publications

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“…5) and spatially (circular clusters of pits formation). The spatiotemporal pattern formation in pitting was recently discussed in several papers [33][34][35][36][37][38], describing a different mechanism of lacy cover formation. The initial pit is formed as a result of passivity breakdown at defect points in the passive film [26,29,39] assisted by a high field acting on the passive layer (10 7 to 10 8 V/m).…”

Section: Preliminary Samples Characterizationmentioning

confidence: 99%

Electrochemical Dissolution Behavior and the Residue Formation Mechanism of Laboratory Made Carbonyl Nickel

Moula

Szymański

Shobeir³

et al. 2015

Electrochimica Acta

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Section: Preliminary Samples Characterizationmentioning

confidence: 99%

Electrochemical Dissolution Behavior and the Residue Formation Mechanism of Laboratory Made Carbonyl Nickel

Moula

Szymański

Shobeir³

et al. 2015

Electrochimica Acta

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“…At a potential of +0.3 V SCE , far below the critical transition potential, very few pit sites initiate under both stagnant and rotating conditions. Pit sites are randomly distributed (40). At slightly higher potentials (e.g., +0.375 V SCE ), electrodes exhibit many more pits, and more pit interactions and pit clustering occur.…”

Section: Experimental Control Of Pitting Corrosion Onsetmentioning

confidence: 99%

Nonequilibrium collective phenomena in the onset of pitting corrosion

2009

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Nonequilibrium collective phenomena and effects of nonlinear pattern formation play the crucial role in the onset of pitting corrosion on stainless steels. Such materials are naturally protected by the oxide layer covering their surface. The onset of pitting corrosion involves the development of microscopic metastable pits, each persisting for about a second. As proposed in our publications and confirmed in subsequent experiments, sudden transition to active corrosion results from chain reproduction of metastable pits on the stainless steel surface leading to an autocatalytic explosion.

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“…This experiment consists in immersing during 10 h, an aluminium sheet of area S equals to 150 cm 2 and thickness of 0.8 mm in a corrosive solution under ambient temperature and without agitation. The sheet was annealed during one hour at 300°C, and the composition of the corrosive solution is: 0.5 g of NaCl, 4 g of FeSO 4 , 25 cm 3 Fig. 15 shows the shape of three pits extracted from the aluminium sheet as like as their depths.…”

Section: Application To Experimental Data and Discussionmentioning

confidence: 99%

“…So, the model is two-dimensional and neglect the three-dimensional aspect of pitting corrosion. Such a simple twodimensional model has been already considered in corrosion studies by several authors [2][3][4]10]. So, the spatial arrangement of pit structure leads to detect the presence of interactions between pits (for aggregated or regular structure) or supposes that pits are independent (for CSR structure).…”

Section: Application To Experimental Data and Discussionmentioning

confidence: 99%

“…Indeed, several methods were developed to characterize existing interac-tions among pits based on spatial point process. Lopez De La Cruz et al [2] applied the inter-event distances estimator method, Budiansky et al [3] and Cawley et al [4] analyse pits interaction by using the Ripley's method. Namely, all of these methods are based on distance measure and offer a statistical treatment allowing to distinguish between different types of spatial data: the aggregated, the regular and the random spatial structures.…”

Section: Introductionmentioning

confidence: 99%

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On the detection of corrosion pit interactions using two-dimensional spectral analysis

Jarrah

Nianga²,

Iost

et al. 2010

Corrosion Science

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A particular thanks to Professor Maxence Bigerelle (UTC, Compiègne, France) and to research and development engineer Dr. Benjamin Fournier (CEA, Saclay, France) for their interesting discussions and useful advices about the scientific problem of pitting corrosion.A statistical methodology for detecting pits interactions based on a two-dimensional spectral analysis is presented. This method can be used as a tool for the exploratory analysis of spatial point patterns and can be advanced as an alternative of classical methods based on distance. One of the major advantages of the spectral analysis approach over the use of classical methods is its ability to reveal more details about the spatial structure like the scale for which pits corrosion can be considered as independent. Furthermore, directional components of pattern can be investigated. The method is validated in a first time using numerical simulations on random, regular and aggregated structures. The density of pits, used in the numerical simulations, corresponds to that assessed from a corroded aluminium sheet. In a second time, this method is applied to verify the independence of the corrosion pits observed on the aforementioned aluminium sheet before applying the Gumbel theory to determine the maximum pit depth. Indeed, the property of independence is a prerequisite of the Gumbel theory which is one of the most frequently used in the field of safety and reliability.International audienceA statistical methodology for detecting pits interactions based on a two-dimensional spectral analysis is presented. This method can be used as a tool for the exploratory analysis of spatial point patterns and can be advanced as an alternative of classical methods based on distance. One of the major advantages of the spectral analysis approach over the use of classical methods is its ability to reveal more details about the spatial structure like the scale for which pits corrosion can be considered as independent. Furthermore, directional components of pattern can be investigated. The method is validated in a first time using numerical simulations on random, regular and aggregated structures. The density of pits, used in the numerical simulations, corresponds to that assessed from a corroded aluminium sheet. In a second time, this method is applied to verify the independence of the corrosion pits observed on the aforementioned aluminium sheet before applying the Gumbel theory to determine the maximum pit depth. Indeed, the property of independence is a prerequisite of the Gumbel theory which is one of the most frequently used in the field of safety and reliability

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Detection of Interactions among Localized Pitting Sites on Stainless Steel Using Spatial Statistics

Cited by 32 publications

References 40 publications

Electrochemical Dissolution Behavior and the Residue Formation Mechanism of Laboratory Made Carbonyl Nickel

Electrochemical Dissolution Behavior and the Residue Formation Mechanism of Laboratory Made Carbonyl Nickel

Nonequilibrium collective phenomena in the onset of pitting corrosion

On the detection of corrosion pit interactions using two-dimensional spectral analysis

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