A Standardized Approach for Reliability-Based Design and Assessment of Pipelines
Bibliographic record
Abstract
A new Annex on reliability-based design and assessment of onshore natural gas pipelines has been adopted for inclusion in the 2007 edition of the Canadian Standard Association’s pipeline standard (CSA-Z662). The same Annex is also being reviewed for inclusion in the next edition of the ASME gas pipeline code (ASME B31.8). The Annex defines a set of specific reliability targets as a function of pipeline diameter, pressure and population density; prescribes the process of demonstrating compliance with these targets; specifies the key requirements of a valid reliability calculation; and gives guidance on specific analysis methods, limit state functions and input parameter distributions. It is one of the few full reliability-based standards in the industry and is the first to mandate specific reliability targets. This paper describes the reliability-based approach adopted, the risk-based methodology used in defining the reliability targets and the key elements of the codified approach. It discusses current applications of the methodology as well as existing and potential plans developing similar codes for liquid and offshore pipelines.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".