Solution Adaptation of Unstructured Grids for Two-Dimensional Aerodynamic Computations
Bibliographic record
Abstract
A solution-adaptive gridding technique applicable to the numerical solution of the Navier-Stokes equations using unstructured triangular grids is presented and evaluated. Grid adaptation is directed by a parameter based on undivided differences of density and Mach number normalized with their respective grid extrema. A new solution-dependent retriangulation algorithm locally restructures the grid to recover an anisotropic grid following adaptation. The artificial dissipation operator is modified to provide improved accuracy on irregular high aspect ratio triangular grids that may be created in some regions by the adaptive process. The technique is applied to several subsonic and transonic turbulent aerodynamic flows, including the flow over a three-element, high-lift configuration. Grid convergence studies are presented that demonstrate that the grid adaptation procedure leads to significant error reduction in lift and drag coefficient in most circumstances. The effectiveness of the adaptation is significantly improved as a result of the solution-dependent retriangulation and the improved artificial dissipation operator
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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 | 0.000 |
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 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".