Multistep Pipe-Soil Interaction Analysis That Accounts for Liquefied Residual Soil Strength
Bibliographic record
Abstract
Metro Vancouver plans to install twin 914-mm internal diameter sewer forcemains under the Fraser River. Liquefaction-induced permanent ground displacement presents a major seismic hazard to the pipeline. A pipe-soil interaction finite element model was built in Abaqus to verify the pipeline design. The pipeline was modeled using a beam-type element that can respond to bending loads with ovalization of the pipe cross section. Ground displacements were applied in multiple modeling steps to capture the anticipated loading sequence and permit the alteration of the soil restraint. Excess pore-water pressure generated during shaking was used to reduce the soil restraint provided by liquefied/partially liquefied soil along the alignment. Steel and HDPE pipeline materials were analyzed in the model. This paper presents the analysis methodology used to justify a pipe wall thickness increase from 6.4 to 9.5 mm in a portion of the alignment and the placement of a critical pipeline joint.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".