Modelling of Supersonic and Subsonic Flows Using Hybrid PressureBased Solver in Openfoam
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Bibliographic record
Abstract
In this paper, validation of the hybrid central solver based on PIMPLE algorithm and KT scheme (rhoPimpleCentralFoamsolver) for high and low speed flows has been presented. Two different test cases were considered for the present study; a supersonic flow over a backward facing step with Mach number 2 and non-reacting subsonic flow separated by a bluff body with a Mach number 0.18. Backward facing step test case was studied using SST k- turbulence model, whereas performance of three different RANS based turbulence models, i.e. SST k- model, standard k- model and modified k- models were assessed for the flow over a bluff body. Results obtained from hybrid central solver for backward facing step using SST k- turbulence model showed good agreement with the experimental data. The mean flow features such as expansion fan, recirculation zone, boundary layers, shear layer and reattachment shock were also captured accurately. Whereas, the performance of the modified k- turbulence model was found to better as compared to other turbulence models in the predictions of flow structure of flow over a bluff-body.
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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