Airworthiness Evaluation of a Scaled Joined-Wing Aircraft
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
The proposed Boeing SensorCraft concept is a High Altitude, Long Endurance Platform intended to provide persistent intelligence, surveillance and reconnaissance capabilities. The concept employs a joined-wing configuration that has potential aerodynamic and structural benefits, as well as the capability to achieve 360 sensor coverage due to confomal sensor arrays distributed throughought the wings. Along with these unique advantages comes several challenges, specifically a predicted non-linear geometric response that may lead to phenomena such as aft wing buckling. In order to further investigate these potential problems it is desired to build and flight test a 1/9 scale, aeroelastically tailored vehicle. The complex nature of building and operating a flexible, aeroelastically scaled aircraft, along with additional challenges such as flightworthiness and control, have necessitated an incremental approach to the flight test program. The work presented in this paper is focused on the instrumentation, ground testing and flight operation of an initial 1/9 scale, geometrically equivelent Joined Wing Sensoraft vehicle. The work also summarizes the results of the initial flight test campaign, some lessons learned and concludes with the recommendation to proceed with the next phase of the project which will include rewinging the aircraft with aeroelastically scaled wings and subsequent flight testing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.003 | 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