Eddy-Preserving Limiter for Unsteady Subsonic Flows
Bibliographic record
Abstract
A slope-limiting algorithm for second-order monotone upstream-centered schemes for conservation laws is introduced to reduce the dissipation of vortices in flow simulations. The algorithm is based on the reconstruction of velocity components along the principle axes of the vortex and the augmentation of the central gradients’ weight for the interpolation of velocity components on the swirl plane of the vortex. The performance of the scheme in different vortical flow problems is investigated. The proposed limiting algorithm has been able to considerably reduce the dissipation of vortices provided that the spatial and temporal discretization of the problem have been fine enough to resolve the length and time scales of the corresponding vortical motion. In particular, the scheme has significantly outperformedthe conventionalvan Albadalimiter to resolvethesecond peak inthe lift coefficient spectrainthe case of a NACA0021 airfoil at a poststall condition.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".