Effects of Asymmetrical Vertical Soil Stiffness on Strain Demand of Steel Pipelines Subjected to Transverse Vertical Permanent Ground Deformation
Bibliographic record
Abstract
Buried transmission pipelines generally traverse long distances, which potentially increase their susceptibility to geotechnical hazards. Geohazards triggered by permanent ground deformation (PGD) in the vertical plane, e.g., subsidence, frost heave, thaw settlement, and uplift, can potentially induce large plastic strain on buried pipelines. Not only the magnitude and direction but also the pattern of this vertical ground movement can result in different pipeline strain demands, which are crucial for assessing the structural performance of pipelines. This paper presents the effects of the asymmetrical soil stiffness in the vertical plane on the response of buried pipelines subjected to two different patterns of transverse vertical PGD (Step and Block) patterns. Using the nonlinear beam-spring finite-element modelling technique in Abaqus, the analysis is conducted for an NPS 42 X70 pipe with a uniform wall thickness of 14.3 mm buried in four different types of soil and subjected to a PGD magnitude of 3.0 m. The pipeline is internally pressurized to the maximum operating pressure of 9.93 MPa and temperature variation of 50°C. The results show a significant variation in the strain demand of buried pipelines subjected to the Step PGD pattern due to the asymmetric soil stiffnesses in the vertical direction. Not only the ratio of upward and downward soil resistances but also their values affect the strain demand of the pipeline against the Step pattern.
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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) | 0.001 | 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".