Benchmarking the lattice Boltzmann method for the determination of acoustic impedances of axisymmetric waveguides
Bibliographic record
Abstract
A numerical technique for determining the acoustic impedance of axisymmetric waveguides based on the lattice Boltzmann method (LBM) is proposed here. This approach presents some desirable characteristics, namely, the possibility of explicitly considering the propagation of waves at low Mach number conditions with a relative low computational cost when compared to traditional continuum methods. The validation of the method is achieved by simulating the radiation of an open unflanged pipe using LBM and comparing the results with those obtained through a finite-element model and through the analytic solution derived by Levine and Schwinger. Finally, the results and the discussion of the method in terms of its computational efficiency and applicability to the simulation of wind instruments at more realistic conditions are presented. [The first author was supported by CAPES (Brazil).]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".