Spectrogram analysis of circumferential modes propagating around the cicular cylindrical shell immersed in water
Bibliographic record
Abstract
In this study, we show that the characterization o f an elastic tube can be made from the cut-off frequencies o f the circumferential waves and the wave velocities in the material constituting the tube.The time-frequency spectrogram is applied to an acoustic signal backscattered by an Aluminum tube for identification of circumferential wave.The cut-off frequencies o f the each circumferential wave modes such as A 1, A 2 (Antisymmetric modes) and S1 (Symmetric mode) are estimated from the spectrogram images, and are compared w ith those calculated via the normal modes theory.The transverse and the longitudinal velocities o f Aluminum material, determined from the spectrogram images, are in good agreement with those given in the scientific literature. r e s u m eDans ce travail, nous exposons la possibilit de mettre oeuvre la caractrisation d'un tube lastique partir de la frquence de coupure des ondes circonfrentielles et des vitesses des ondes propageant dans le matriau constituant le tube.La reprsentation temps-frquence de Spectrogramme est applique un signal acoustique rtrodiffus par un tube d'Aluminium afin de pouvoir identifier les ondes circonfrentielle.La frquence de coupure de chaque mode d'onde circonfrentielle tels que : A1, A2 (modes antisymtriques) et S1 (mode symtrique) sont estimes partir des images tempsfrquence de Spectrogramme puis elles sont compares avec celles calcules par la thorie des modes propres.Les vitesses transversales et longitudinales du matriau en Aluminium, dtermines partir des images temps-frquence, sont en bon accord avec celles donnes dans la littrature scientifique.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".