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Record W344816963 · doi:10.5006/c2010-10297

Environmental Effects on the Susceptibility and Crack Growth of near Neutral PH Stress Corrosion Cracking

2010· article· en· W344816963 on OpenAlexaff
Jeffrey Xie, Chris Foy, Robert Worthingham, Mark Piazza

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsTransCanada (Canada)Nova Chemicals (Canada)
Fundersnot available
KeywordsStress corrosion crackingCrackingCorrosionMaterials scienceStress (linguistics)MetallurgyComposite material

Abstract

fetched live from OpenAlex

Abstract The environmental effects on the susceptibility and crack growth of near-neutral pH stress corrosion cracking (SCC) were characterized using mechanical testing, hydrogen permeation and potential drop measurements. The investigated environmental parameters were dissolved CO2, HCO3−, pH, sulfate and chloride, sulfide and organics (9,10-anthraquinone-2,6-disulfonate (AQDS), Laurentian humic acid (LHA) and Laurentian fulvic acid (LFA)). Sufficient hydrogen concentration was critical for the susceptibility of near-neutral pH SCC. Hydrogen concentration was directly proportional to the concentration of sulfide (HS−), and the %RA-ratio decreased linearly with the logarithm of sulfide concentration. Organic compounds, like AQDS, LHA and LFA, had an inhibitive effect on the crack growth rates, and also reduced the hydrogen concentration. Higher CO2 concentrations led to a decrease in solution pH. However the addition of HCO3−, may result in the formation of a ferrous carbonate film that could protect the underlying steel and slow the corrosion process.

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)0.001
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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Same topicHydrogen embrittlement and corrosion behaviors in metalsFrench-language works237,207