Factors Affecting the Rate and Extent of Disbondment of FBE Coatings
Bibliographic record
Abstract
Abstract External fusion bond epoxy (FBE) pipeline coatings have provided excellent protection and long-term service. However, field reports describe periodic blistering and coating disbondment. An investigative program consisting of a laboratory program and a program of field examinations had been initiated in order to understand the magnitude and causes of these phenomena. The laboratory experiments are described in this paper and the results are discussed in relation to the field experiences. FBE coating disbondment was tracked over time in four test environments that represent conditions on Canadian pipelines and was assessed as a function of cathodic potential, temperature, coating defect, the presence of oxygen, and time. Some long-term tests were monitored for up to 18 months. Conditions that promoted a continuous growth of the disbondment area versus those that resulted in no further growth of the disbondment area are presented and related to controlling disbondment mechanisms. In the presence of cathodic protection, blistering and disbondment of FBE coatings does not appear to present a pipeline integrity threat.
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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".