Prediction of Airframe Thermal Stresses for Hybrid Composite-Metallic Structure
Why this work is in the frame
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Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2021-0572.vid Inherent differences in thermoelastic properties between fiber reinforced polymer matrix composites and metallic alloys can result in thermally induced stresses within mechanically fastened structural assemblies as the aircraft experiences the full range of operational temperatures. This paper describes the interim results of an AFRL funded study to develop a more accurate and efficient methodology for predicting these airframe thermal stresses. The methodology is aimed at providing corrections to Air Vehicle Finite Element Model loads to account for the inherent flexibility of mechanically fastened joints. The program is focused on current deployed USAF platforms with an operational temperature range of -65 °F through 325 °F. The methodology is intended to be general enough to support the aircraft design development phase as well as airframe life extension efforts using pre-existing models.
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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 | 0.000 |
| 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 it