Development of a Fatigue Life Assessment Tool for Pipelines With Local Wrinkles
Bibliographic record
Abstract
Pipelines may be subject to ground movement events or external interference that imposes axial and moment loading into the pipeline. This system demand may cause localized deformation mechanisms to develop, that may be observed as local wrinkling or buckling of the pipe wall. The local buckle amplitude may increase with continued external loading and may fracture due to low cycle fatigue failure caused by operational conditions. There exists limited data and engineering guidance on the mechanical performance of energy pipelines with a local wrinkle or buckle. The literature suggests the fatigue service life can be significantly reduced by the presence of local wall deformation mechanisms. In this study, continuum numerical modelling procedures are developed to assess the influence of pipeline damage in the form of a local wrinkle or buckle on the low-cycle fatigue life. The simulation tool is calibrated from the available literature and a parametric study is conducted to examine the influence of wrinkle bend radius, pipe wall thickness, cyclic displacement amplitude, material grade and constitutive models on the pipe mechanical performance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".