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Record W2530068284 · doi:10.25560/11658

A Study of Anaerobic Corrosion Behaviour of Carbon Steel in a Canadian Used Nuclear Fuel Repository

2011· dissertation· en· W2530068284 on OpenAlexaboutno aff
Gloria Kwong

Bibliographic record

VenueSpiral (Imperial College London) · 2011
Typedissertation
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsnot available
Fundersnot available
KeywordsCorrosionSpent nuclear fuelAnaerobic exerciseMetallurgyCarbon steelEngineeringWaste managementNuclear engineeringEnvironmental scienceMaterials scienceForensic engineeringMedicine

Abstract

fetched live from OpenAlex

The Canadian nuclear waste management concept envisages using carbon steel as a primary engineered barrier for isolating nuclear waste in a deep geological repository (DGR) located in sedimentary rock. Steel corrosion in anticipated repository environments has been studied, but was mostly focused in two main areas: (i) aerobic or oxygen containing environments (both in vapour and liquid phases); and (ii) anaerobic, solution environments. The atmospheric corrosion behaviour of steel in a humid, anaerobic or anoxic environment, is a new topic, with virtually no published data to on which to rely. This study was undertaken to improve the existing knowledge of anaerobic, atmospheric corrosion of carbon steel. Atmospheric corrosion testing was conducted on carbon steel wires in anoxic atmospheres at various temperature and relative humidity (30-100% RH), with and without sodium chloride (NaCl) contamination of the wire surfaces. Hydrogen evolved from corrosion was monitored and converted to an estimated corrosion rate. With salt on wire surfaces, sustained final corrosion rates in the range of 0.01 to 0.8 μm·y-1 were observed over test durations of 935 to 1725 hours. Without salt contamination, the corrosion rates are very low, and can only be detected using a solid-state electrochemical hydrogen sensor. The hydrogen sensor can detect the pressure increase down to a limit of ca. 0.1 Pa, corresponding (depending on the exact procedure) to a corrosion rate as low as ca. 0.0001 μm·y-1. The estimated corrosion rates for the degreased and pickled wires were found to be < 0.01 μm·y-1. In parallel with the corrosion experiments, corrosion product surface analyses were performed using different techniques. Oxides formed on steel surfaces consist mostly of the mixed Fe2+/Fe3+ spinel oxide Fe3O4. The experimental results of this study will be applied to assess the corrosion behaviour of carbon steel containers during the anoxic, unsaturated phase of a deep geological repository in Canadian sedimentary rock.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.593
Threshold uncertainty score0.808

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.256
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2011
Admission routes1
Has abstractyes

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