FINITE ELEMENT VIBRATION MODELLING AND EXPERIMENTAL VALIDATION FOR AN AIRCRAFT ENGINE CASING
Bibliographic record
Abstract
This thesis presents a procedure for the development and validation of a theoretical vibration \nmodel, applies this procedure to a pair of aircraft engine casings, and compares select \nparameters from experimental testing of those casings to those from a theoretical model using \nthe Modal Assurance Criterion (MAC) and linear regression coefficients. A novel method of \ndetermining the optimal MAC between axisymmetric results is developed and employed. \nIt is concluded that the dynamic finite element models developed as part of this \nresearch are fully capable of modelling the modal parameters within the frequency range of \ninterest. Confidence intervals calculated in this research for correlation coefficients provide \nimportant information regarding the reliability of predictions, and it is recommended that \nthese intervals be calculated for all comparable coefficients. The procedure outlined for \naligning mode shapes around an axis of symmetry proved useful, and the results are \npromising for the development of further optimization techniques.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".