Cut-Back Edge Cathodic Disbondment Susceptibility of Exposed Bare Field Joints in Offshore Pipelines
Bibliographic record
Abstract
Abstract The cathodic disbondment susceptibility of coated offshore grade pipeline steel samples with a single holiday or a cut-back edge was investigated. Several accelerated conditions were used, including elevated temperature of 60°C or mechanical stress in the form of an elastic strain of 0.15%, and an overprotection potential of -1.5 VSCE. The resulting extent of disbondment on the coated samples was determined by lifting the coating with a sharp thin-bladed knife. Also, the delamination of unstressed cut-back edge samples was tracked by local electrochemical impedance spectroscopy (LEIS). Mechanical lifting of the FBE (fusion bonded epoxy) coatings on cathodically-protected samples demonstrated that the geometry of the defect does not affect the rate of coating disbondment during accelerated exposure conditions and time. However, the delaminated area on cut-back edge samples was larger than those with holidays due to the larger amount of exposed metal-coating interface on the former. Thus, a much higher current supply would be required to protect the large surface area of uncoated field joints and the associated large circumferential metal-coating interface area susceptible to cathodic disbondment in offshore applications.
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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 | 0.000 |
| 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".