Quantifying the mass discharge rate of flashing two phase releases through simple holes to the atmosphere
Bibliographic record
Abstract
Many toxic industrial chemicals (TICs) such as chlorine and ammonia are stored as liquids at ambient temperature which flash when released to atmospheric pressure. Sponsored by the Chemical Security Analysis Center (CSAC) of the U.S. Department of Homeland Security, the Defense Threat Reduction Agency (DTRA) of the U.S. Department of Defense, and Transport Canada, the Jack Rabbit II tests were designed to release liquid chlorine at ambient temperature in quantities of 4,500–18,000 kg (5 to 20 T) to quantify the hazards of catastrophic release at scales represented by rail and truck transport vessels. All trials were conducted releasing chlorine through a 15.2 cm (6 in) circular breach in the 9,100 kg (10 T) capacity test vessel (disseminator) at different orientations (vertically downward, 45° below horizontal, and vertically up). A final 18,000 kg (20 T) release was made vertically downward using a truck vessel. This article analyzes disseminator load cell data to determine the mass release rate. Along with this data, previously published data are also considered to quantify the impact on release rate of flash fraction and superheat limit temperature for various materials. This work develops a general approach to quantifying the mass release rate of flashing two phase releases of TICs and other flashing liquids such as cryogenics. © 2018 American Institute of Chemical Engineers Process Process Saf Prog 37:382–396, 2018
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".