Far-Field Drag Prediction and Decomposition Method for Unsteady Flows
Why this work is in the frame
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Bibliographic record
Abstract
Fareld drag prediction and decomposition methods are powerful tools that increase the accuracy of the drag coe cient computed from CFD results by removing the spurious drag caused by numerical procedures. Furthermore, these methods allow a physical decomposition of the drag in terms of viscous, wave and induced drag. However, these methods are currently limited to steady ows. This paper presents a new drag prediction and decomposition method relevant to unsteady ows. This new method is de ned for both inertial or non inertial coordinate systems, hence allowing drag decomposition either on static, or on moving/rotating mesh. This new method also led to the identi cation of a type of drag caused by the unsteady uctuations of the ow. This method is designed for 3D viscous, subsonic or transonic ows.
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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