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Record W1973163126 · doi:10.1115/ipc2010-31007

Frequency Dependence of Fatigue and Corrosion Fatigue Crack Growth Rate

2010· article· en· W1973163126 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venue2010 8th International Pipeline Conference, Volume 1 · 2010
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Failure Mechanisms
Canadian institutionsSpectra Energy (Canada)TransCanada (Canada)University of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaU.S. Department of Transportation
KeywordsParis' lawMaterials scienceCorrosion fatigueCorrosionCrack closureGrowth rateHydrogenPipeline transportMetallurgyCreepComposite materialFracture mechanicsEnvironmental scienceChemistry

Abstract

fetched live from OpenAlex

Corrosion fatigue and fatigue crack growth in air tests were comparatively conducted on an X52 pipelines steel. Fatigue crack growth rates in air were lower than corrosion fatigue crack growth rates due to the absence of hydrogen and mechanical dormancy arisen from low temperature creep at low cyclic frequencies. Mechanical dormancy can commonly occur during operation of both oil and gas pipelines. Crack growth in near neutral pH environments can be well rationalized by a combined loading factor, (ΔK)2Kmax/fα, which reflects the synergistic interaction between the mechanical driving force and the hydrogen effects. Hydrogen plays a decisive role in terms of crack growth in pipelines steels exposed to near neutral pH environments.

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.

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)0.001
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 score0.060
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.029
GPT teacher head0.255
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