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Record W4409528459 · doi:10.5006/c2000-00356

Effects of O2 and CO2 on Near-Neutral-pH Stress Corrosion Crack Propagation

2000· article· en· W4409528459 on OpenAlexaff
Joel T. Johnson, C. L. Durr, J. A. Beavers, B. S. Delanty

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsTransCanada (Canada)
Fundersnot available
KeywordsCorrosionMaterials scienceStress (linguistics)Stress corrosion crackingMetallurgyComposite material

Abstract

fetched live from OpenAlex

Abstract The objective of the research described in this paper was to evaluate the influence of the composition of the sparging gas on the electrochemical corrosion kinetics, hydrogen permeation, and crack growth behavior of a line pipe steel in a simulated near-neutral-pH cracking electrolyte. A series of potentiodynamic polarization experiments, Devanathan/Stachurski type hydrogen permeation experiments, and cyclic loading tests were performed with varying levels of O2 and CO2. Tests revealed that increasing the level of CO2 increased the corrosion rate at the free corrosion potential, increased hydrogen permeation, and accelerated crack growth during cyclic growth tests. Increasing the level of O2 had little effect on the corrosion rate at the free corrosion potential, decreased the rate of hydrogen permeation, and increased the crack growth rate in crack growth tests.

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 categoriesInsufficient payload (model declined to judge)
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 score0.007
Threshold uncertainty score1.000

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)0.0010.000

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 head0.008
GPT teacher head0.233
Teacher spread0.226 · 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.

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

Citations8
Published2000
Admission routes1
Has abstractyes

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