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Record W2991956628

Noise reduction of a standard curtain wall considering opening for natural ventilation

2011· article· en· W2991956628 on OpenAlexaffvenue
Jean-Philippe Migneron, André Potvin

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCurtain wallNatural ventilationFacadeSoundproofingAirflowEngineeringAcousticsNoise (video)Sound pressureVentilation (architecture)Noise reductionStructural engineeringA-weightingWeightingMarine engineeringComputer scienceMechanical engineeringTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

The growing interest in natural or hybrid ventilation systems makes a challenge for good integration of openings in building fac¸ades. Acoustical treatment of building openings is complex, as many construction elements and phenomena must be considered. The proposed sample of insulated curtain wall is based on standard construction that includes an aluminum structure and windows. Firstly, evaluation of the sound insulation procured by the facade sample has been tested with all windows closed. Sound pressure levels were noted and averaged in both rooms to get the noise reduction. Using A-weighting for sound pressure levels, this analysis might reflect occupant's perception. The first test made about ventilation was to check maximal free running capacities. That consists in measuring airflow with a small deferential pressure through the fa¸ade.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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)0.0020.000

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 head0.017
GPT teacher head0.201
Teacher spread0.184 · 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 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
Published2011
Admission routes2
Has abstractyes

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