Toward Real-Time Aero-Icing Simulation of Complete Aircraft via FENSAP-ICE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Three-dimensional fully viscous turbulent aero-icing flow simulation remains too computationally intensive when broad parametric studies are needed, such as during a certification process. In addition, the introduction of realistic icing effects for training pilots in simulators clearly lags behind in terms of taking advantage of computational fluid dynamics. To make such simulations more practical, this work presents a reduced-order modeling, based on the proper orthogonal decomposition method, that predicts a wide swath of approximate flowfields and ice shapes based on a limited number of obtained from high-fidelity computations. Modes are extracted from these snapshots and used to reconstruct the computational fluid dynamics field, and/or the aerodynamic coefficients, and/ or the ice shapes for other conditions within the range. This reduces calculation times by two to three orders of magnitude from the full three-dimensional ones, enabling a more complete map of the performance of an iced aircraft over a wide range of flight and weather conditions to be used in its certification and pilot training.
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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 | 0.001 |
| 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