Bibliographic record
Abstract
When a gas turbine is working under high temperature, high pressure, and high velocity conditions, complex dynamic behavior and faults arise. These can seriously affect the security and reliability of the system, so it is important to further study nonlinear dynamic characteristics of the rotor-seal system. The seal force model of a brush seal was proposed, considering the interactions among bristle pack, flow force, and rotor, and a nonlinear dynamic model of the rotor-seal system was established. The influences of different geometries and operation parameters, such as rotor speed, installation spacing, damping, and rotor mass on the nonlinear characteristics of the system were discussed. The bifurcation scenario, vibration response, and stability of the rotor-seal system were analyzed by bifurcation diagram, time history, axis orbit, phase portrait, phase trajectory, Poincaré map, and frequency spectrum. The results showed that with a seal force the critical speed was greater than that without seal force conditions. The vibration amplitude of the rotor decreased with increase of damping and installation spacing. When the mass of the rotor increased, the vibration amplitude decreased significantly, which added stability to the rotor.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.002 | 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".