MétaCan
Menu
Back to cohort
Record W4380990575 · doi:10.1016/j.jpse.2023.100139

Effects of temperature on fatigue crack growth rates of a low-carbon pipe steel in the ductile and ductile-to-brittle transition regions

2023· article· en· W4380990575 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

VenueJournal of Pipeline Science and Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsNatural Resources Canada
FundersAlaska Department of Natural ResourcesOffice of Energy Research and Development
KeywordsBrittlenessMaterials scienceTransition temperatureMetallurgyCarbon fibersCarbon steelComposite materialSuperconductivityCondensed matter physics

Abstract

fetched live from OpenAlex

This study investigated the impact of temperature on fatigue crack growth rates (FCGR) of low-carbon pipe steel in both the ductile and ductile-to-brittle transition regions. Results showed that the FCGRs decreased as the temperature decreased from the ductile to the ductile-to-brittle transition region, while FCGRs remained consistent within the ductile-to-brittle transition region. The Paris law coefficients, C and m, were also influenced by the temperature change between the ductile region and the ductile-to-brittle transition region. However, the C and m values stayed relatively stable in each region. The m values in the ductile-to-brittle transition region were found to be higher than those in the ductile region, whereas the C values were found to be lower.

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 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 score0.190
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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