Atmospheric Corrosion of Copper in Contact with Bentonite with and without Deliquescent Salts
Notice bibliographique
Résumé
Canada's high-level radioactive waste disposal plan entails using tightly sealed used fuel containers (UFC) emplaced in a deep geological repository (DGR). The UFC consists of a carbon steel vessel for mechanical support and an outer 3 mm copper coating for corrosion protection. After emplacement in a DGR, containers will contact highly compacted bentonite clay. The DGR conditions will be initially warm and humid (up to 90°C), due to the radioactive decay processes within the used fuel, and oxygen will be present because of air trapped during the placement process. During this period, the heat produced by radioactive decay will cause sections of the bentonite to become desiccated, leading to shrinkage. This will create gaps between the bentonite and the copper surface, with some bentonite residue remaining attached to the copper surface. Once this surface becomes exposed to humid air, non-uniform atmospheric corrosion will be possible since bentonite contains traces of mineral salts. This study examined the effect of different forms of bentonite—highly compacted bentonite (HCB), bentonite residue (BR, particles left after HCB contact), and bentonite slurry (BS)—on copper corrosion. To amplify the impact of different forms of bentonite, a layer of sodium chloride (NaCl) was also applied to the copper surfaces before adding bentonite. Thus, this series of experiments investigated copper corrosion under two conditions: (part 1) in direct contact with various forms of bentonite; and (part 2), in contact with a layer of NaCl beneath the coverage by the different forms of bentonite. In Part 1, atmospheric corrosion of O-free, P-doped wrought copper (SKB-Cu) and cold-sprayed copper (CS-Cu) were studied with different forms of bentonite over various exposure periods. In Part 2, CS-Cu samples were studied with a NaCl layer beneath the bentonite deposit over similar periods. All samples were exposed to humid air at 75°C and 75% relative humidity (RH). Based on results obtained from optical microscopy and scanning electron microscopy (SEM), Cu samples covered with BR, HCB, and BS exhibited localized, uniform, and non-homogeneous corrosion, respectively in part 1. The corrosion features of both SKB-Cu and CS-Cu were very similar. After applying NaCl (part 2), the morphology of corrosion products showed significant changes. For both SKB-Cu and CS-Cu in part 1, Raman spectroscopy and X-ray photoelectron spectroscopy (XPS) showed that the corrosion products formed on the surfaces covered by either HCB or BS were mainly CuO, Cu(OH) 2 , and Cu 2 O, while on the BR-covered samples, only Cu(OH) 2 and Cu 2 O formed. For part 2, the corrosion products on all samples consisted of Cu 2 O, CuO, and Cu(OH)₂, though their distribution was uneven after applying NaCl. After a 5-month corrosion experiment (part 1), focused ion beam-scanning electron microscopy (FIB-SEM) images showed a significantly thinner corrosion layer (40 nm) on the samples exposed to HCB than on those exposed to other forms of bentonite (400 nm). Samples covered with HCB exhibited a lower corrosion rate (around 0.06 µm/yr) than samples exposed to the other forms of bentonite (around 0.6 µm/yr). After removing corrosion products by pickling, most samples displayed uniform shallow pits. In part 2, based on weight loss measurements on specimens exposed to humid air at 75°C and 75% RH for 5 months, BS-covered samples showed a lower corrosion rate (around 1.2 µm/yr) than those exposed to other bentonite forms (6–9 µm/yr). After corrosion product removal, most samples displayed a rough, uneven surface, with BS-covered samples showing a smooth surface and uniform shallow pits. In Part 1, no significant difference was found between SKB-Cu and CS-Cu corrosion behavior, with HCB-covered samples showing the lowest corrosion rate. In Part 2, after salt printing, the overall corrosion was more severe, with BS-covered samples exhibiting the lowest corrosion rate. In both parts, the corrosion rates of all samples decreased over time.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».