An evaluation of corrosion processes affecting copper-coated nuclear waste containers in a deep geological repository
Bibliographic record
Abstract
Permanent disposal of high level nuclear waste in containers that employ steel as a structural element and copper as a corrosion barrier material is a favoured design concept in several countries. This review considers possible corrosion processes that can affect these packages and demonstrates the methodology used to calculate corrosion depth over package service life in a Canadian deep geological repository environment. Four corrosion sub-allowances are considered: oxic corrosion due to trapped oxygen, radiation-influenced corrosion, anoxic aqueous corrosion, and microbiologically-influenced corrosion. Additional corrosion and container failure mechanisms are discussed, including stress corrosion cracking, creep ductility and fracture, hydrogen embrittlement, coating debonding for copper-coating technologies, and failure at weld regions. Several areas for future study are suggested. Exact corrosion allowances will depend on site-specific geological and groundwater properties, especially the far-field sulphide concentration. For the generic Canadian site conditions described, the expected depth of corrosion is evaluated at 270 μm in 1,000,000 years. Including additional, highly conservative considerations for each possible corrosion reaction, the maximum corrosion damage is 1.2 mm in 1,000,000 years. This is significantly less than the 3 mm coating thickness in the Canadian used fuel container design or the 25–50 mm thickness of copper in dual walled vessels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".