Discussion on calculation method of natural frequency of flue design in thermal power plant based on temperature field simulation
Bibliographic record
Abstract
The vibration of the boiler tail flue not only leads to tearing and steam leakage at the welding point between the superheater and manhole, but also makes the acoustic soot blower in the tail flue basically unable to be put into operation, which seriously affects the safe operation of the unit. In order to reduce the size of external reinforcing ribs, the minimum number of internal struts should be used in large section flue. By means of temperature field simulation, the author adds a flow guide device at the junction of the down flue and the horizontal flue to forcibly guide the flue gas to the convection heat exchange area. The simulation results show that the vertical velocity field distribution of the horizontal flue tends to be uniform after adding the diversion device. Measures should be taken to prevent the vibration of the inner strut, such as selecting the inner strut with appropriate specifications; Install fins on the inner strut; Change the natural frequency of the inner strut; Select appropriate flue gas flow rate, etc.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".