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Record W1938577349

THE ATTENUATION OF AIRCRAFT NOISE BY WOOD STUD WALLS

2001· article· en· W1938577349 on OpenAlexafffundvenueabout
J. S. Bradley, J.A. Birta

Bibliographic record

VenueNPARC · 2001
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsNational Research Council Canada
FundersMinistère de la Défense NationaleTransport Canada
KeywordsAcousticsAttenuationSoundproofingRange (aeronautics)Noise (video)Sound transmission classTransmission lossAcoustic attenuationMaterials scienceStructural engineeringEngineeringComposite materialComputer sciencePhysicsOptics
DOInot available

Abstract

fetched live from OpenAlex

Dans cet article, on décrit les mesures de l'effet de la masse des couches de revêtement, de la taille et de l'espacement des colombages, des séparations structurales et de la présence d'isolant dans les cavités sur l'affaiblissement acoustique des murs extérieurs à ossature de bois. Au Canada, les constructions modernes sont généralement plus hermétiques que les immeubles plus anciens, et leurs murs, plus épais, contiennent plus d'isolant thermique. Cette recherche sur les propriétés acoustiques des murs modernes fait partie d'un projet plus important portant sur l'évaluation des éléments des façades extérieures et sur l'élaboration d'une procédure informatique permettant de concevoir l'insonorisation des immeubles exposés aux bruits des aéronefs. Nous avons effectué des mesures conformément à la méthode E90 de l'ASTM, mais dans une gamme de fréquences allant de 50 à 5 kHz. Nous avons classé l'efficacité globale des murs à l'aide de la classe de transmissions extérieur-intérieur (OITC) de l'ASTM.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.210

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)0.0000.000

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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

Citations0
Published2001
Admission routes4
Has abstractyes

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Same venueNPARCSame topicAcoustic Wave Phenomena ResearchFrench-language works237,207