Dependency of the Blast Wave Characteristics on the Rupture Mode of a Failed Pneumatic Test of a Pipe Segment
Bibliographic record
Abstract
Abstract Pneumatic test failure results in high-pressure blast waves that propagate outward and impact humans, structures, and objects, potentially causing fatality and damages. To mitigate the risk of such damage, codes recommend safe exclusion distances depending on the stored energy that would release and drive these blast waves. However, there are different opinions about the amount of stored energy and how to quantify it in a more definitive and science-based manner. As such, the approach taken in this work was to study the relevant blast wave characteristics generated from four different modes of pipe failure bracketing two extreme pipe failure modes. One extreme assumes the pipe ruptures in a totally arrested fracture such that the pipe severs, and two-sided full cross-sectional area ejecting high-pressure directional jets drive the external blast waves. The other extreme is a pipe rupture in an un-arrested longitudinal running ductile fracture along the entire length of the pipe so that the contained high-pressure test medium is released to ambient radially in a cylindrical (or semi-cylindrical) fashion. Other intermediate modes of ruptures are also considered between these two extremes, based on a fixed rupture length of 8D according to ASME PCC-2, or an actual ductile fracture arrest length based on fundamental fracture mechanics. Respective correlations are provided to aid in the development of risk assessment programs, and safety management plans prior to commencing a contemplated pneumatic test in a given environment and surrounding infrastructures.
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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 | 0.003 |
| 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 | 0.000 | 0.000 |
| 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".