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Record W4415455402 · doi:10.3397/in_2025_1246419

Vibro-acoustics modeling of lightweight structures with attached noise control materials

2025· article· en· W4415455402 on OpenAlex
Noureddine Atalla

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNOISE-CON proceedings · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAerospaceNoise (video)Noise controlEmphasis (telecommunications)Range (aeronautics)Control (management)Control systemProcess (computing)

Abstract

fetched live from OpenAlex

Over the last two decades, the author's team has extensively investigated the modeling, characterization, and development of lightweight structures and their integrated sound packages, with particular emphasis on aircraft and aerospace applications. This keynote talk presents a comprehensive review of this body of research. Specifically, the presentation will demonstrate the remarkable effectiveness of the transfer matrix method, together with its numerous extensions, in accurately predicting the vibroacoustic response across a diverse range of lightweight structures and noise control materials. The impressive predictive capability of this methodology, particularly notable given its computational efficiency, will be illustrated through various excitation scenarios and systems featuring strategically positioned structured elements either within the structure or inside the attached noise control treatments.

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.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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