The Improvement of the Wall Temperature Calculation Procedure for the Post-Crisis Region of the NPP Heated Channels
Bibliographic record
Abstract
The reliable wall temperature prediction is important for the analysis of operation and safety of both nuclear reactors and direct-flow steam generators with high-temperature fluids. The onset of dangerous temperature excursion is possible in the post-crisis region of the heated channels when the inverted annular or the dispersed flow regime occurs. The wall temperature calculations for both flow regimes are represented. The data of Hammouda, Lapperiere, Chen, Miropolsky, Bennett and some other investigators were processed. The obtained average error and deviation are less than those which take place when special best estimate computer code KORSAR is used. Specified result was reached by the way of the engineering procedures correction and may be applied for the closure correlations improvement which is needed in two-fluid two-phase flow models. The conclusion is made that the correct choice of the integration step and the method of the critical quality determination produce effect on the adequate wall temperature prediction.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".