Development and Validation of Full-Aircraft Free-Flight Maneuvering Simulation Using Tightly Coupled CFD-CSD and FCS
Bibliographic record
Abstract
This paper demonstrates the recent success of developing a high-fidelity Co-Simulation (CoSim) technology to enable free-flight full-aircraft maneuvers using closed-loop tightly coupled Computational Fluid Dynamics (CFD), Computational Structural Dynamics (CSD) with full-production aircraft Flight Control Systems (FCS). This new development empowers the previous CFD-CSD maneuver simulation with a digital brain from the production aircraft FCS and enables a true high-fidelity predictive capability with significant improvement in the accuracy of the results, removing its dependency on other analysis as inputs. The newly developed CoSim methodology was correlated with S-97 RAIDER® helicopter flight test maneuvers. This study shows that development and usage of the current state-of-the-art methodology, when carefully validated and applied, can capture the complex rotorcraft physics due to fluid and structure interaction during maneuvering flights with sufficient accuracy to support both early stage of design and flight test planning.
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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 | 0.002 |
| 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 | 0.000 |
| 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".