Probabilistic Analysis of Pipelines in Geohazard Zones Using a Novel Approach for Strain Calculation
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents an approach for probabilistic analysis of pipelines buried through geohazard-prone areas that induce permanent ground movements potentially. In this approach, an easy-to-implement response prediction tool based on the finite-difference method is integrated with simple but robust Monte Carlo simulation methods. The probability of strain capacity exceedance is calculated when a pipeline is subjected to the ground movement of different magnitudes. In the strain-based limit state function, the strain capacity is determined using existing equations in the literature, and the strain demand is calculated using an accurate and efficient tool based on the finite-difference method. After obtaining the conditional probabilities of failure of pipes at given magnitudes of ground movement, the probability of failure of pipes as a function of time is also calculated considering the probability of ground movement initiation. The proposed approach is demonstrated through a case study of pipelines subjected to landslides.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it