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Record W4410491317 · doi:10.1051/aacus/2025022

Derivation, verification and validation of a length correction factor for folded quarter-wavelength resonators

2025· article· en· W4410491317 on OpenAlexaboutno aff
Hervé Denayer, Elke Deckers

Bibliographic record

VenueActa Acustica · 2025
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsnot available
FundersVlaamse regeringFonds Wetenschappelijk Onderzoek
KeywordsResonatorWavelengthLength measurementQuarter (Canadian coin)OpticsPhysicsMathematics

Abstract

fetched live from OpenAlex

Acoustic metamaterials that consist of multiple λ /4-resonators in series or parallel can be tuned to realise high broadband absorption in a given frequency range. These resonators are often folded to obtain a structure with a (deep) sub-wavelength thickness, which allows an optimal use of the available space and enables low-frequency sound absorption in confined spaces. However, folding a resonator can lead to a significant change in resonance frequency, resulting in an off-design acoustic performance. Hence, in this paper, the effect of a single 90° fold on the resonance frequency of rectangle and slit-like λ /4-resonators is investigated numerically. Based on these numerical simulations, a length correction factor δ is derived to account for this effect in the analytical model. The use of the correction factor is verified for various single-fold resonator configurations and against existing length formulas. The length correction factor is then experimentally validated for rectangle resonators by means of impedance tube measurements on 3D printed samples. It is found that using the proposed length correction factor allows for an accurate prediction of the resonance frequency of the discussed resonator geometries.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

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

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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations4
Published2025
Admission routes1
Has abstractyes

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