Assessment of CFD/CSD Analytical Tools for Improved Rotor Loads
Bibliographic record
Abstract
Comparisons of many analysis codes have been made during the course of the UH-60 Airloads Workshops. However, most comparisons involve only a small number of codes, and modeling assumptions are not consistent among all researchers. The Improved Prediction of Rotor Loads TAJI project, funded by the Vertical Lift Consortium (VLC), was initiated in part to perform a rigorous comparison of coupled solutions with the most widely used CSD and CFD codes. Careful comparisons of the structural models were made, and small modeling differences were eliminated. Loosely coupled simulations were made for UH-60A flight and wind tunnel test cases, in addition to other industry helicopter configurations. Flap bending and blade torsion loads are well predicted for all of the cases studied, while edgewise bending and pushrod loads tend to contain higher harmonic load content, which is less well predicted by the analysis. The various code combinations studied yield very similar load predictions when identical modeling assumptions are made. However, certain gaps remain in terms of correlation with test data.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".