A Re-Baseline Design Usage Methodology for Vibration and Acoustic Environments Using the F-22A Air Vehicle Operational Spectra
Why this work is in the frame
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Bibliographic record
Abstract
The F-22 baseline usage definition used for establishing design and certification criteria for high cycle and sonic fatigue assessment of the air vehicle structure and subsystems is derived from two sets of mission profiles composed of eleven peace-time mission profiles and 3 combat mission profiles. These profiles were established in the early 1990s and are the foundation of the derived design and certification environments. These vibration and acoustics environments are documented in the F-22 Environmental Criteria Document and the F-22 Acoustic Loads for Sonic Fatigue Design Document. Both documents have undergone numerous revisions since they were first published, however, the aircraft usage defined by exposure time, aircraft state, aircraft configuration and other aircraft aerodynamic parameters has remained constant except for granularity. This paper presents the methodology employed for re-baselining the F-22 air vehicle usage based on fleet operational spectra and discusses the approach for future air vehicle life tracking. In this paper the analysis approach for establishing the new usage spectrum is discussed in detail. Specifically the protocol for integration of data obtained from the Individual Aircraft Tracking (IAT) program and the Integrity Data Analysis & Reporting System (IDARS) is presented. The results are new usage spectra for vibration and acoustic life assessments which are representative of an F-22 fleet-wide operational spectrum. Comparison of the new re-baselined usage spectrum with the baseline EMD certification spectrum is presented as well as a process under development for tracking air vehicle life. Initial impact assessments for both vibration and acoustic environments are also discussed.
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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) | 0.000 | 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