Stress-Relief Excavation for Pipeline Geohazard Mitigation
Bibliographic record
Abstract
Abstract Pipelines are linear structures that cross various slope geometries and geologies and are susceptible to various ground movement geohazards, including landslides and subsidence. The ground movements from the geohazards can potentially induce axial, bending, and torsional stresses in pipelines. The objective of this paper is to summarize the strain relief process, demonstrate that strains can be estimated without IMU using the shape of the pipe measured in the field, and describe the pipeline performance before, during and after stress-relief excavation. This paper will also present planning considerations prior to conducting a stress-relief excavation, including design considerations, geotechnical stability, and considerations related to conditions of the pipe. This paper will present an approach to approximate pipe shape and estimate bending strains in the pipe and includes a discussion on results of three case-studies of stress-relief excavations. These case studies include landslide movements of various directions with respect to a pipeline. A summary of pipeline out-of-straightness, inertial measurement unit bending strain, rebound measurement during the stress-relief excavation, and strain measurement using strain gauges are included.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".