Aero-engine Casings Modal Characteristic Assessment using an Efficient and Novel Modal Assurance Criterion Methodology
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, a novel modelling methodology and experimental protocol has been proposed for a computationally efficient means of performing modal characteristic assessment while addressing the issue of spatial phase angle difference that arises in vibration analysis of axisymmetric structures. An experimental modal characteristic assessment is performed by means of a roving hammer impact test, frequency comparison, and a novel modal assurance criterion assessment methodology. The technical accuracy of the obtained vibrational characteristics is verified using simulations results based on both high fidelity and simplified FEM models. LMS software is used to perform the experimental assessment and post processing of data while MSC. PATRAN and MSC.NASTRAN are used to implement the proposed novel theory of addressing spatial phase angle differences that are associated to axisymmetric structures, such as the aero-engine casings.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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