Code and Solution Verification of an Adaptive Finite Element Turbulent Flow Solver
Why this work is in the frame
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Bibliographic record
Abstract
We present Code and Solution Verification results for an adaptive finite element turbulent flow solver. In the present case, the flow solver, the adaptive procedure and the error estimator are all verified in the context of turbulent flows using the Method of the Manufactured Solution. The adaptive procedure is driven by error estimates in global error norms obtained with the Zhu-Zienkiewicz (ZZ) error estimators. We use an element based higher order projection of the flow variables to compute error estimates for pointwise values of the flow and for quantities of engineering interest such as Lift, Drag and Moment coecient. We assess the accuracy of all these error estimates by comparing them to the true errors. The proposed adaptive methodology is then demonstrated on the ERCOFTAC test case C-30, a backward facing step.
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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