A Case Study of External Cracking in Steam Piping under Mineral Wool Insulation
Bibliographic record
Abstract
In recent years, cracking has been observed in carbon steel piping systems operating at temperatures above 70°C. These systems, equipped with mineral wool insulation and aluminum cladding, experienced cracking and failures under normal operating pressures and temperatures. Leachates from wet mineral wool insulation are suspected of causing external stress corrosion cracking (SCC) in these scenarios. A failure in a carbon steel steam condensate return pipe occurred at 50 PSI(g) and 330°F. Gaps in the insulation cladding allowed moisture to accumulate, which led to external stress corrosion cracking, particularly at the underside of the pipe where moisture collects. Material samples taken from the failed pipe showed intergranular cracking and grain elongation at the base of the cracks. This paper summarizes the findings of the investigation into the steam condensate piping failure, aiming to raise industry awareness and promote the safe operation of similar systems.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".