Strain Localization in the Dent of a Linepipe
Bibliographic record
Abstract
Steel pipelines used for transporting oil and gas can develop various damages such as mechanical damages, corrosion, wrinkle, and crack. One of the mechanical damages is a dent with or without other defects such as corrosion, gouge, and crack. The dent without other defect is often referred to as plain dent. Depending on the severity, a dent can lead to a failure of a field linepipe. The strain concentration in a dented pipeline wall can be used to determine the level of severity of a dent. Hence, a research program was undertaken at the Centre for Engineering Research in Pipelines (CERP) using full-scale tests and finite element analyses. The prime objective of this research was to determine comparative strain distributions in and around the dent and locations of high strains developed from the denting process. This information will help the pipeline operators to determine the severity of dents in their field linepipes. Hence, the outcome of this research will allow the pipeline operators to take an informed decision on whether or not an imminent remedial action for the dented segment of the line pipe is required. This paper presents test data and finite element simulation to discuss the locations and values of crucial strains in dents.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".