Modified Cathodic Disbondment Testing of External Polymeric Pipeline Coatings
Bibliographic record
Abstract
Abstract The research described in this paper was carried out with the objective of establishing any correlation between coating performance and the results of cathodic disbondment testing. Experiments were carried out using 13 coatings. Nine samples of each coating were studied in a total of 117 experiments. Fifty-eight (58) samples were placed in an environmental chamber at a constant temperature of 65°C, and 59 samples were placed in a different environmental chamber at a temperature that varied between 5 and 65°C. The initial temperature of this environmental chamber was 5°C and, after 30 days, the temperature was raised to 15°C. The temperature in the fluctuating chamber was increased by 10°C after every 30 days. Data were obtained from cathodic current, solution pH, and potential during the experiments and cathodic disbondment after the experiments. Based on the experiments carried out over a period of 14 months using 13 different pipeline coatings, in this investigation it was found that characteristic current spikes occurred whenever blisters are formed on the coatings.
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.
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".