Monitoring Passive Film Rupture Events on Pipeline Carbon Steel During Cyclic Mechanical Loading Conditions
Bibliographic record
Abstract
Abstract High-pH SCC occurs through mechanical rupture of an oxide film, followed by active intergranular corrosion at the crack tip and subsequent film repair. Oxide film strain properties have important implications in the high-pH crack growth process, but have never been determined in high-pH SCC environments. The self-healing properties of the oxide may be affected by loading and unloading time, strain rates, as well as by environment. Further knowledge of the film strain and the corrosion event that takes place as the film ruptures will improve our understanding of the important parameters determining high-pH SCC, and improve the prediction of crack growth rate distributions. In this work, film rupture was monitored by current noise under a constant applied potential in scratching electrode experiments, slow strain rate and cyclic loading experiments. The results suggest that successive damaging cycles are likely to cause more damage, result in more film rupture events and higher crack growth rates than damaging cycles that are separated by sufficient time to fully repassivate the film and dissipate creep.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".