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Record W3094596283

The Electrochemical and Corrosion Study of Copper for Nuclear Waste Containers under Deep Geological Disposal Conditions

2020· article· en· W3094596283 on OpenAlexaboutno aff
Mengnan Guo

Bibliographic record

VenueScholarship@Western (Western University) · 2020
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsnot available
Fundersnot available
KeywordsRadioactive wasteCorrosionCopperWaste managementMetallurgyEnvironmental scienceWaste disposalSpent nuclear fuelMaterials scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

The proposed method for the safe disposal of Swedish, Finnish, and Canadian high-level nuclear waste (HLNW) is to isolate it in iron or steel containers with an outer copper (Cu) shell or coating and bury it in a deep geological repository (DGR). Copper has been selected as the corrosion barrier due to its stability in the aqueous anoxic environments anticipated in DGR conditions. The container will initially be exposed to humid aerated conditions which will evolve to cool and anoxic as radiation fields in the fuel decay and heat production ceases. When the DGR is cool and anoxic, sulphide (SH−)-induced corrosion will become the long-term threat to container durability by inducing Cu corrosion supported by the reduction of H2O or H+ from SH−. The predominant source of SH− in a DGR will be remotely produced SH− from SO42− via the action of sulphate-reducing bacteria (SRB) and, possibly, minor production from mineral dissolution (pyrite (Fe2S)). The slow SH− diffusion from remote locations to the container surface will render Cu susceptible to corrosion, thereby making it essential to determine the corrosion mechanisms, rates and the extent of corrosion damage on Cu, all of which must be known if a reliable Cu corrosion allowance is to be specified.\nThe film growth mechanisms on Cu in anoxic aqueous Cl− solutions containing SH− have been investigated both electrochemically and under natural corrosion conditions. Specifically, the influence of Cl− and temperature on both oxide and sulphide film growth and the susceptibility of Cu to pitting have been studied. Cyclic voltammetry on rotating disk electrodes showed that anodically-formed Cu2S (chalcocite) films were porous and non passivating, with the rate of film growth determined by a combination of SH− transport through the growing film and the competition between SH− and Cl− for adsorption sites on the reacting Cu surface. Scanning electron microscopy (SEM) on corroded surfaces and cross-sections showed no evidence for pitting when only Cu2Sfilms were present.\nThe properties of Cu2S films on Cu were also studied under freely-corroding conditions using corrosion potential measurements coupled with cathodic stripping voltammetry. Surface analyses demonstrated that, depending on the [SH−]and [Cl−], the chalcocite (Cu2S) film was composed of either one or two layers; a thin base layer and an outer crystalline deposit. At low [SH−], only the base layer was formed, with a dual layer growth developing as the [SH−] increased. While the base layer may have initially been a barrier layer, it rapidly became porous and stopped growing. The crystalline nature of the outer deposited layer was consistent with previous claims that this layer grew at the outer film/solution interface by the transport of Cu (I) species, as complexes and clusters, from the corroding Cu surface through the porous base layer.\nUnder anaerobic humid conditions, gaseous sulphide (H2S (g)) may also be produced by the microbial SO42− reduction. Since the full saturation of the bentonite clay may take many years, there could be a period during which H2S (g) could be transported through the unsaturated clay and dissolved into a wetted layer that might form on the container. Hence, the corrosion of Cu when exposed to H2S (g) in a humid environment was also investigated. The redox reaction was followed by measuring the production of H2 (g) by corrosion and correlating this amount to the corrosion rate of the Cu.\nKeywords: Copper, Corrosion, Electrochemistry, Pitting, Sulphide, Chloride, Film Growth, Mechanism, Nuclear Waste Disposal

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.068
GPT teacher head0.306
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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