Structural and Neutronic Assessment of Calandria Tube Enhancement Design Options
Bibliographic record
Abstract
Over the lifetime of a CANada Deuterium Uranium (CANDU) Type Reactor, the pressure tubes and calandria tubes deform via creep and sag, eventually requiring replacement. The sagging phenomena leads to fuelling issues, potential contact between the Calandria Tube (CT) and the liquid injection shutdown system or the Pressure Tube (PT). As such, this ageing phenomenon limits the lifetime of the components. Conceptual designs were assessed to determine their potential for reducing the effects of aging by minimizing the magnitude of sagging. Three different design options for a CT have been investigated using numerical simulation techniques. The CT design options include fins and ribs of different sizes and combinations. The fins and ribs provide improved structural integrity over the reactors lifetime. Analyses results have shown that the design options yield an increased overall strength with a minimal impact on neutronics. The analysis has determined that the finned design option is superior in terms of CT strength enhancement and minimizing the impact on neutronics. Furthermore moderator displacement analysis for the finned design option showed an ability to minimize the impact on moderation or even cause moderator displacement potentially decreasing the positive void coefficient.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".