Modeling Critical Flow Through Steam Generator Tube Cracks
Bibliographic record
Abstract
Modeling of leakage rates through geometries representative of steam generator tube cracks is being investigated. These cracks are characterised by very small flow areas and low length to diameter ratios. Two sets of experiments were conducted by researchers at Purdue University measuring flow rates through several slits in 3.175 mm and 1.3 mm thick samples, with L/D ratios as low as 1.2. A pressure differential of 6.8 MPa was applied across the samples with varying degrees of subcooling. Flow rates through these samples were modeled using the thermal-hydraulic system codes RELAP and TRACE, using different nodalization techniques and both the Henry Fauske and Ransom Trapp critical flow models available in RELAP. Model results are compared to experimental values and modeling techniques are discussed. TRACE and RELAP were found to have similar accuracy in predicting flow rate trends, with higher accuracy at larger L/D. In general best results were achieved by modeling the crack as a junction component.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".