MétaCan
Menu
Back to cohort

Computer-aided modeling and visualization of sound waves propagation in a Tapered Quarter Wavelength Tube

2025· article· en· W4409048426 on OpenAlexaboutno aff
A.A. Demchyshyn, O.S. Kaleniuk

Bibliographic record

VenueSystem technologies · 2025
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)VisualizationTube (container)AcousticsWavelengthSound (geography)OpticsSound propagationComputer scienceComputer graphics (images)EngineeringPhysicsMechanical engineeringArtificial intelligenceHistory

Abstract

fetched live from OpenAlex

The paper presents the algorithmic basis for computer-aided modeling of sound wave propagation in an acoustic system with an acoustic design in the form of a straight and folded tapered quarter wavelength tube (TQWT). The aim of the modeling is to compare the systems by fidelity of the signal reproduced and localize acoustic excitation zone inside the acoustic system, where installation of a layer of absorbing material is effective for control of wave propagation. The computer-aided modeling of acoustic wave propagation utilizes an algorithm based on a hyperbolic differential equation with attenuation component. A web application has been developed in JS programming language for CPU and GLSL ES language for parallel computing on GPU, which works according to the presented algorithm to simulate the wave propagation process. The program visualizes wave propagation in real-time based on the initial parameters of the environ-ment, such as: the geometric configuration of acoustic enclosure (constructed using line segments), the coordinates of the location and geometric configuration of the wave source, angular velocity of the generator and the wave amplitude, the Courant number, the attenuation coefficient, the size of the simulation grid. The software made it possible to calculate the constructive and destructive interference maps of the wave generated by the speaker’s front side with the wave emerging from the acous-tic system’s port of straight and folded tapered pipe. With a grid size of 512 x 288, the algo-rithm achieved a processing speed of over than 75 time-steps per second using a processor with parallel computing Intel UHD 630. The maps showed that the zones of acoustic excitation were located inside the acoustic enclosure opposite to the wave source. It is shown that the acoustic enclosure in the form of a folded TQWT effectively suppresses high and medium frequencies by attenuating the wave with the configuration of the walls behind the broadband source. The con-figuration prevents unpredictable amplification or attenuation of the specified frequencies and, as a result, increases the fidelity of signal reproduction.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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
GenreMethods

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueSystem technologiesSame topicAcoustic Wave Phenomena ResearchFrench-language works237,207