A Three-Dimensional CFD Model for a Performance Verification of the Liquid Poison Injection System of a CANDU-6 Reactor
Bibliographic record
Abstract
A three-dimensional (3-D) computational fluid dynamics (CFD) model has been developed to analyze the liquid poison injection phenomenon of shutdown system 2 (SDS-2) of a Canada deuterium uranium (CANDU) reactor. Because the SDS-2 injects highly pressurized liquid poison into the moderator in a very short time, it is a major safety priority to confirm the effectiveness of the SDS-2 as one of the shutdown systems. In general, it is difficult to directly measure the velocity and concentration of the poison jet during an injection because of the complex nature of the injection system and the process. Therefore, a series of investigations has been performed to develop a CFD model for liquid poison injection phenomenon with limited validations. In this study, the validation of the existing CFD model for the poison injection phenomenon of the CANDU SDS-2 is extended to be applicable to a CANDU-6 reactor as well as a larger CANDU reactor. The analyses showed that the poison jet growth for those experiments simulated by the 3-D CFD model agrees reasonably with the experimental results. Therefore, it is concluded that the proposed 3-D CFD model can be used to assess the effectiveness of a liquid poison injection in compliance with the intended functional design requirements of the CANDU SDS-2.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".