Numerical Analysis of Turbulent Natural Convection in LNG Storage
Bibliographic record
Abstract
Nowadays, the heat infiltration through the walls of the liquefied naturel gas (LNG) storage tanks is considered a principal source of security problems throughout the supply and distribution chain. In effect, these infiltrations cause evaporation of LNG coupled with stratification phenomenon, which begat a substantial loss in the quantity and quality of the product and may affect the safe storage. the recent work has been published on the effect of heat infiltration on the storage of cryogenic liquids, with used a parietal heat flux of 50 W/m 2 , and the case when them while used up to 330 W/m 2 . In our case, our objective is to make a study of the natural convection turbulent in a LNG storage, description of temperature and velocity profiles particularly at the boundary layer and generates contours by a movement of fluid in the tank. The software used to observe the evolution different parameters. We took into account two types of storage tank 37 000 m 3 and 160 000m 3 with the number of Ra varies between 10 7 and 10 15 , with two turbulence model K SST for the boundary layer away to walls and model k for tank to study significant variations with a minimum constant heat flux of 50 W/m 2 and we increase up to 500 W/m 2 .
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".