ICONE19-43691 Thermalhydraulic Analysis of Uranium Carbide (UC) Fuel in 54 and 64-Element Fuel Bundles for SCWRs
Bibliographic record
Abstract
The objective of this paper is to investigate a possibility of using Uranium Carbide (UC) as a nuclear fuel in the newly developed 54 and 64-element fuel bundles with smaller outer diameter pins (8.5 mm and 9.1 mm, respectively), at supercritical conditions of a generic SuperCritical Watercooled Reactor (SCWR). Uranium Carbide has been used in numerous applications such as fuel in pebble bed reactors. The focus of this paper is to calculate the fuel centerline and cladding temperature profiles in order to ensure that the new fuel-bundle design complies with the industry accepted limits of 1850℃ for the fuel centerline temperature and the design limit of 850℃ for the cladding temperature. As a candidate fuel for SCWRs, Uranium Carbide has a high melting point, does not undergo a phase change at high temperatures, and possesses high dimensional stability under irradiation. Furthermore, Uranium Carbide has a significantly higher thermal conductivity and greater fissile element density than Uranium Dioxide (UO_2), making it a potential candidate for use in SCWRs. To examine the Uranium Carbide fuel within the operating conditions of SCWRs, the 54 and 64-element fuel bundles were utilized. Further, the fuel centerline and cladding temperature profiles were calculated under several axial heat flux profiles based on an average thermal power per channel of 8.5 MWth. To show that the 64-element bundle is the best available option, profiles of the Variant-20 and 54-element bundle were analyzed. Results indicated that the 64-element bundle attains major improvements in fuel centerline temperature and sheath temperature compared with previously designed fuel bundles as well as an improved safety margin over the Variant-20 and 54-element fuel bundle.
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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 | 0.001 | 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".