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Enregistrement W2239945314 · doi:10.1149/ma2015-02/14/696

(Corrosion Division H. H. Uhlig Award) Application Of Electrochemistry in the Development of Performance Assessment Models for High Level Nuclear Waste Disposal

2015· article· en· W2239945314 sur OpenAlexaff
D.W. Shoesmith

Notice bibliographique

RevueECS Meeting Abstracts · 2015
Typearticle
Langueen
DomaineEngineering
ThématiqueNuclear and radioactivity studies
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésRadioactive wasteCorrosionSpent nuclear fuelHigh-level wasteNuclear decommissioningContainment (computer programming)Nuclear powerWaste managementNuclear fuelComputer scienceProcess engineeringEnvironmental scienceMaterials scienceEngineeringNuclear engineeringMetallurgy

Résumé

récupéré en direct d'OpenAlex

The development of performance assessment models for high level nuclear waste repositories is a major environmental issue made challenging by the period of containment required which is many thousands of years. Within the multiple barrier repository designs proposed, the corrosion performance of both the waste container and the waste form are critical components of such models. The common practice of steadily improving engineering designs based on failure analyses is not an option. Consequently, the scientific and engineering credibility and social acceptance of the disposal solutions developed rely heavily on a fundamental and quantitative understanding of the science involved. This must include a realistic acknowledgement of the limitations encountered when attempting to transform such understanding into predictive models. Electrochemical, and associated microscopic and spectroscopic, techniques are proving essential in this challenge. They play a key role not only in the development of mechanistic understanding but also in the accumulation of the numerical database and the specification of the boundary conditions for computational models. This presentation will concentrate on the application of electrochemical, and associated microscopic and spectroscopic, methods to the study of nuclear fuel (predominantly uranium dioxide) and copper waste container corrosion processes, and will attempt to describe how the essential link between mechanistic understanding and model development can be achieved. While many nations contemplate the disposal of the waste processed and immobilized in the form of ceramics and glasses, the spent fuel discharged from reactors remains the primary wasteform. Prior to irradiation in a reactor it is a purified, close-to-stoichiometric (UO2.002) p-type semiconductor. However, on discharge from the reactor it is contaminated with heterogeneously-distributed nuclear fission products which have a significant influence on its subsequent corrosion properties. Of key importance from a corrosion perspective is the rare earth doping of the fuel matrix which increases its electrical conductivity and facilitates microgalvanic coupling to the noble metal particles segregated within the matrix. The influences of these heterogeneously distributed features on fuel corrosion have been studied on simulated fuels (non-radioactive surrogates for the actual wasteform) using a range of electrochemical techniques including scanning electrochemical microscopy and current-sensing atomic force microscopy and spectroscopic techniques such as microRaman and X-ray photoelectron spectroscopy, and time-of-flight secondary ion mass spectrometry. The use of these techniques to establish the mechanistic basis for radionuclide release models will be described with a particular emphasis on how fission product doping regulates the redox balance between potential oxidants (radiolytic hydrogen peroxide) and reductants (radiolytic hydrogen and the products of the container corrosion process). While a number of options exist for the choice of material for the fabrication of waste containers, carbon steel vessels with an outer corrosion-resistant copper shell or coating are strongly favoured in anoxic repository environments since copper should be thermodynamically stable. Despite such thermodynamic assurances, potential pathways for corrosion failure exist. The two primary routes are corrosion due to sulphides (possibly formed by remote microbial activity in the repository backfill materials) and galvanic corrosion at manufacturing defects in the copper shell/coating allowing groundwater contact with both the copper and the underlying steel vessel. This last mechanism is particularly important for steel vessels protected by a thin copper coating. X-ray tomography is being used to observe the progress of corrosion at the coating/steel interface, the properties of which (adherence being a key one) will be dictated by the coating process used. Particular emphasis will be given to how these measurements can be used to model and define the potential for failure by this process. Finally, a brief description will be given of how all these corrosion features can be integrated into a comprehensive model able to predict, at least semi-quantitatively, the evolution of redox conditions within a failed container and their impact on the critical radionuclide release process which determines the release of radioactivity to the environment.

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)0,002
score de la tête « metaresearch » (Gemma)0,002
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,118
Score d'incertitude au seuil0,396

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,1180,062

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 Opus0,029
Tête enseignante GPT0,251
Écart entre enseignants0,222 · 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
Publié2015
Routes d'admission1
Résumé présentoui

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