The Impact of Tube Array Compactness on the Generation of Acoustic Resonance
Bibliographic record
Abstract
Abstract This study presents an experimental investigation into the effects of tube array compactness on self-excited acoustic resonance. The primary focus is on varying the number of rows and columns in the tube array, with rows ranging from 1 to 9 and columns from 2 to 3. The experimental results demonstrate a clear correlation between the compactness of the tube array and the occurrence and strength of self-excited acoustic resonance. Specifically, an increase in the number of columns was found to significantly enhance both the occurrence of excitation and the amplitude of the generated acoustic pressure. Additionally, increasing the number of rows led to the excitation of higher acoustic modes. These modes were observed to synchronize with the wake of the tube array, as evidenced by phase-locked particle image velocimetry (PIV) measurements. This synchronization indicates a complex interaction between the acoustic field and the fluid flow, wherein the phase of the excited acoustic mode’s particle velocity plays a critical role.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".