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Enregistrement W4416568180 · doi:10.1149/ma2025-02141148mtgabs

Numerical Simulation of Pit Evolution in a Deep Geological Repository

2025· article· W4416568180 sur OpenAlexaboutno aff
Yunhan Chuai, Scott Briggs, Mark E. Orazem

Notice bibliographique

RevueECS Meeting Abstracts · 2025
Typearticle
Langue
DomaineMaterials Science
ThématiqueCorrosion Behavior and Inhibition
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCorrosionContainer (type theory)HomogeneousRadioactive wasteComputer simulationWork (physics)Containment (computer programming)Rotational symmetry

Résumé

récupéré en direct d'OpenAlex

The concept of Adaptive Phased Management, approved by Canadian federal authorities and implemented by the Nuclear Waste Management Organization, forms a comprehensive strategy for the long-term safe management of used nuclear fuel in Canada. 1 The used nuclear fuel will ultimately be placed within a container in a deep geological repository (DGR). Current container designs employ steel vessels with a protective copper outer layer, strategically selected to reduce corrosion damage. The copper-coated container may be subjected to various corrosion mechanisms over time as the DGR environment evolves. Specific to this work and in the early aerated environment of the DGR, efflorescing salt impurities present on the container surface may lead to the formation of an Evan’s droplet. To understand the behavior of the copper-coated container with respect to localized corrosion and ensure the effectiveness of this protection strategy, a preliminary two-dimensional axisymmetric time-dependent model for the corrosion of copper under an Evans droplet was developed. 2, 3 The mathematical model employs the finite-element method (COMSOL Multiphysics). Some unique features of the model are the inclusion of six heterogeneous and fifteen homogeneous reactions, implicit calculation of nm-scale films, and treatment of the influence of films on surface concentrations and potentials. The model shows the time-dependent localized corrosion rates and depths, calculated for an elapsed time of one hundred years. It also shows time-dependent radial distributions for current density and surface coverage of films. The influence of oxygen conditions and temperature was included, and the model accounted for the influence of films on reaction rate constants. Temperature and oxygen concentration were shown to have a strong contribution to copper corrosion. Preliminary results showed that the corrosion of copper and growth of films in the droplet was almost uniform on the electrode surface. Pitting is normally initiated by localized damage to the oxide film caused by physical cracks or chemical attacks. The evolution process of pits entails formation, growth, and re-passivation. Two methods of simulating pit evolution were developed. First, a unique approach to model pitting was developed in which boundary conditions were modified to define a simulated pit without changing finite-element meshing. Simulations were performed under the assumption that the atmospheric oxygen concentration decreased exponentially with time. The simulated pit was assumed to be created when the oxide film first formed and after it reached its maximum value, representing two extreme conditions for atmospheric oxygen concentration. For both pit formation times, simulations were performed for both small rate constants yielding kinetic control and larger rate constants trending toward oxygen-transport control. 4 The pit repassivated for each simulation performed, and the resulting pit depth ranged from 30 nm to 3,560 nm. The largest pit depth was calculated for large rate constants and for pits formed shortly after the oxide film was grown. A second approach for simulating pit evolution accounts for the dynamic growth process by combining the boundary condition method for predefined deep pits with mesh deformation physics. The mesh-deformation approach showed changes within the pit environment. The pH and oxygen concentration within the pit changed before and after pit re-passivation. Boundary-condition-modification and mesh-deformation approaches yield the same answers for repassivation time and resulting pit depth. References NWMO, “Choosing a Way Forward. The Future Management of Canada’s Used Nuclear Fuel. Final Study,” Nuclear Waste Management Organization, Toronto, Ontario, 2005. C. You, S. Briggs, and M. E. Orazem, “Model development methodology for localized corrosion of copper,” Corrosion Science, 222 (2023) 111388. C. You, Y. Chuai, S. Briggs, and M. E. Orazem, “Model for corrosion of copper in a nuclear waste repository,” Corrosion Science, 226 (2024) 111658. Y. Chuai, S. Briggs, and M. E. Orazem, “A Parametric Study of Mathematical Model for Long-Term Localized Corrosion of Copper in Canadian Deep Geological Repository,” ECS Meeting Abstracts, 2024, MA2024-02, 1701. Acknowledgement This work was supported by the Nuclear Waste Management Organization, Canada, under project 2000904.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,038

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,278
Écart entre enseignants0,263 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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