Severity of a Small Wrinkle on Oil and Gas Pipeline with Displacement Control Cyclic Tests
Bibliographic record
Abstract
Buried pipelines are considered to be the safest, most reliable, and economic mode of transportation for oil and gas found in northern Canadian region which is far from the place of consumption or refineries. Buried oil and gas pipelines with internal pressure passing through unstable slope and water crossing, subjected to soil movement, landslide, and seismic activity may develop wrinkle defects. Wrinkled pipelines subjected to axial cyclic loadings due to extreme weather condition, freeze-thaw cycle is vulnerable to fatigue failure. Despite extensive research work to evaluate the integrity of buried oil and gas pipelines with various defects, there are limited research data, or guidelines for the assessment and behavior of wrinkle defects subjected to axial cyclic loadings. This research program was initiated to investigate the severity of small wrinkle in buried oil and gas pipe with constant internal pressure subjected to different displacement controlled axial cyclic loading with different wrinkle profile. A total of nine experimental full-scale test were conducted on the structural laboratory of University of Windsor along with finite element analysis (FEA) based numerical approach. This experimental program also utilized the concept of hysteresis loop energy (HLE) in the assessment of wrinkle defects subjected to axial cyclic loading. The study found that the pipes with larger wrinkled amplitudes are expected to compromise the structural integrity of the buried pipelines. In addition, the study also found that the pipe exposed to higher temperature fluctuation or severe environmental conditions results in a larger cyclic displacement and prone to fatigue failure.
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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) | 0.002 | 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".