Using coating roughness to control pipe-soil friction and influence pipeline global buckling behaviour
Bibliographic record
Abstract
Submarine on-bottom High Pressure / High Temperature pipelines are susceptible to buckling and walking phenomena to relieve axial stress built up in the pipeline through thermal expansion. Axial stress is dependent on the friction coefficient between seafloor soils and pipeline coatings and has a controlling influence on the instigation of buckles. Typical approaches to influencing the formation and distribution of buckles is the placement of sleepers or sliders to promote or discourage lateral deformation. Herein, an alternative methodology is proposed where variation of the pipe-soil interaction friction coefficient axially can promote analogous behaviour. Recent experimental investigations have characterised friction coefficients for polypropylene, a typical pipe coating material, with typical real-world surface textures and also with enhanced textures designed to improve interface shear strength. Finite element analysis using Abaqus was used in this paper to model an approximately 5 km on-bottom pipeline subject to operational loads typical of HPHT systems. The results show that pipe-soil friction has the expected impact on axial stress build up and buckle properties, but also that axial variation of PSI friction has a significant impact on the distribution and magnitude of buckles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".