Comparison of a Correlation-Based Transitional Model Coupled to SA and kw-SST Turbulence Models
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Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2022-3973.vid In the present work, the Spalart-Allmaras (SA) turbulence model is compared with the Menter SST two-equation turbulence model from 2003 (SST-2003) while both models are coupled with the gamma-ReThetaT local correlation-based transition model. These three models were implemented in the unstructured finite volumes compressible RANS code CHAMPS. Modification to the Fonset parameters is investigated as a calibration potential. Smoothing and alternative equations from the literature are implemented for Fonset, ReThetaC and Flength to remove the non-differentiable terms and improve residual convergence. Both turbulence models are validated on 2D test cases for different transition mechanisms and flow conditions: the Schubauer and Klebanov and T3A flat plate cases and the NACA0012, S809 and NLF0416 airfoils cases. Results are compared to experimental data and some results from the literature. Both models can capture the transition accurately, but numerical and experimental uncertainties remain high for natural transition cases.
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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 | 0.000 |
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 it