DYNAMIC AND STABILITY ANALYSIS OF ROTOR-SHAFT SYSTEMS WITH VISCOELASTICALLY SUPPORTED BEARINGS
Bibliographic record
Abstract
This research investigates the dynamic analysis of a single-rotor shaft system with elastic bearings at the ends mounted on viscoelastic suspensions. Timoshenko shaft model is utilized to incorporate the flexibility of the shaft; the rotor is considered to be rigid and located at the mid-span of the shaft. The viscoelastic supports of the linear bearings are modeled using Kelvin-Voigt model. Equations of motion are derived for the system, and both free and forced vibration analysis are performed. Comparisons of the natural frequencies are made between the Jeffcott model and the Timoshenko model. The effects of stiffness and loss coefficients of the viscoelastic supports on the complex natural frequencies are investigated. Stability analysis is performed utilizing the Routh Hurwitz criterion for polynomials with complex coefficients and the variational analysis. Experimental investigations were carried out for the system and compared to the predicted theoretical results. Theoretical results show that optimum values of the viscoelastic stiffness and loss coefficient can be achieved for a specific rotating shaft system to reduce vibrations and increase the operating regions.
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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 | 0.000 | 0.001 |
| 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 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".