An Investigation of External Corrosion at Ambient Temperature on Thermally Insulated Pipes under Ageing Conditions
Bibliographic record
Abstract
Abstract Corrosion under insulation (CUI) refers to the external corrosion on the metallic pipe/ equipment body subjected to thermal insulations. CUI manifests localized corrosion (mainly) and has always been a driver behind failures on thermally insulated pipelines. Despite the advent of numerous measures namely protective coatings, and hydrophobic insulations, the issue of CUI remains an inevitable reality for the pipelines especially those which undergo submerging conditions from the rainwater in the culverts, being buried under the snow piles, water flooding, etc. All these moisture intrusion events result in the soaking of insulation thereby exploiting the CUI risks. This study addresses the ambient temperature CUI behavior of a thermally insulated carbon steel pipe to mimic the out-of-service (normally happens during maintenance shutdowns, mothballing, etc.) behavior of thermally carbon steel pipeline(s). The insulated pipe assembly was submerged under the water for a two day’s period followed by exposure to outdoor conditions for one year. The insulated assembly was checked for corrosion behaviors using confocal laser microscopy, and x-ray diffraction; followed by the interpretation of corrosion modes and kinetics.
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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".