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Record W4391028430 · doi:10.61782/fa.2023.0652

Nonlinear behaviour of lossy acoustic black holes

2024· article· en· W4391028430 on OpenAlexaff
Olga Umnova, Daniel Brooke, Philippe Leclaire, Thomas Dupont

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversité du Québec à MontréalÉcole de Technologie Supérieure
FundersDefence Science and Technology Laboratory
KeywordsLossy compressionNonlinear systemAcousticsComputer sciencePhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

Sound absorption properties of acoustic black holes are studied for high pressure amplitudes.The absorbers consist of thin circular plates, each with a central perforation, separated by annular air cavities.Radius of the perforation of each plate depends on its position thus forming a central channel with a gradually decreasing radius.In our previous work, a linear equivalent fluid model accounting for the variations of the effective properties of air inside this channel was developed.However, the FEM simulations show that flow resistivity of the structure increases with the flow rate according to Forchheimer's law.This indicates that an extension of the model is necessary for the incident waves of high amplitude.In the current work, the measurements are performed for continuous high amplitude sound.A specially designed impedance tube is used for the experiments.The measurements and modelling show that the nonlinearity of acoustic black holes affects mostly the low frequencies.At higher frequencies, the absorption performance is weakly affected by the nonlinearity.This opens a possibility of using these structures as effective broadband absorbers of high amplitude sound.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.226
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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