SUPPRESSION OF BENDING-TORSION FLUTTER IN ACCELERATED FLIGHT WITH AERO-SERVO-VISCOELASTIC CONTROLS
Bibliographic record
Abstract
The Theodorsen function [1] is generalized to non simple harmonic motion and for time dependent ight velocities encountered during maneuvers, changes in altitude, landings, takeo s, etc. A formulation and examination is undertaken of the dynamic responses of exible linear viscoelastic lifting surfaces in potential ow and under the in uences of unsteady aerodynamic forces, non-simple harmonic motion and time dependent ight velocities. Di erential, integral or proportional servo-controllers are added in order to stabilize the system and extend its lifetime. Parametric studies of servo-controllers led to no general conclusions because of the highly complicated phase relations. However, computational simulations indicate that a continual increase in servo control parameters does not necessarily culminate in utter velocity increases, but actually may decrease such thresholds after a maximum control condition has been achieved. The presence of ight maneuvers introduces time dependent velocities and coe cients in the governing integro-di erential relations. These are solved analytically by piecewise averaging of the coe cients over selected time intervals. Expanded necessary and sufcient utter conditions beyond the customary simple harmonic motion de nition are also formulated. 1Copyright©2011 by the authors. Published by the AIAA Inc., with permission. 2Natural Sciences and Engineering Research Council of Canada, Scholarship Award Holder. PhD Candidate in Aerospace Engineering. AIAA Student Member. Voice: 217-244-8273 Email: merrett2@illinois.edu Presenter. Now Assistant Professor of Mechanical and Aerospace Engineering, Carlton University. Email: Craig_Merrett@carleton.ca 3Professor Emeritus of Aerospace Engineering and Senior Academic Lead for Computational Structural/Solid Mechanics at NCSA. AIAA Fellow. Corresponding author. Voice: 217-333-2653 Cell: 217-840-1116 FAX: 217-244-0720 Email: h-hilton@illinois.edu 4BS in Aerospace Engineering May 2013 Candidate, AIAA Student Member, kalidin2@illinois.edu 5BS in Aerospace Engineering May 2013 Candidate, AIAA Student Member, schwar21@illinois.edu. AIAA Atmospheric Flight Mechanics Conference 08 11 August 2011, Portland, Oregon AIAA 2011-6208 Copyright © 2011 by Craig G. Merrett, Harry H. Hilton. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
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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 | 0.000 | 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) | 0.001 | 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".