Numerical Modelling of the No-Core-Melt Passive Safety Feature in the Generation IV Canadian SCWR
Bibliographic record
Abstract
Heat transfer through a typical fuel channel in a Generation IV Canadian Supercritical Water Reactor was modelled numerically using Finite Element Method software.With the objective of limiting the fuel cladding to sub-melting temperatures during a Loss of Coolant Accident, it was found that two distinct fuel channel designs both attained maximum cladding surface temperatures of T = 1,120 o C; a result that compared favourably with the 1,450 o C melting point of the stainless steel cladding.However, given the similar temperatures yielded by the reference and alternate fuel channel designs, it was deemed necessary to devise another metric for identifying the better performing variant.In this vein, the ratios of LOCA to normal operation thermal fluxes were computed and it was observed that the reference configuration performed best by limiting losses in normal operation while also permitting sufficient heat rejection to the moderator during the LOCA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".