MétaCan
Menu
Back to cohort
Record W1511308207

Performance evaluation of duct bends

2011· article· en· W1511308207 on OpenAlexaffvenue
Ramani Ramakrishnan, Romain Dumoulin

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsCollège de RosemontToronto Metropolitan University
Fundersnot available
KeywordsAnechoic chamberASHRAE 90.1Duct (anatomy)EngineeringFinite element methodAttenuationSilencerInletAcousticsMechanical engineeringStructural engineeringPhysicsTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

The American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) have developed simple steps to evaluate the attenuation of duct fittings such as elbows, lined and unlined, based on the results of Ver. The software applies finite element techniques to solve for the acoustical performances. The model is also capable of using the material properties of the liner materials. The liner is considered to be bulk reacting. Preliminary results of the multi-dimensional model will be presented in this paper. The current investigation has made use of COMSOL, a powerful multi-physics numerical analysis tool and has attempted to provide results based on multi-dimensional analysis. A given acoustic field was assumed at the inlet of the elbow and the outlet is connected to a long anechoic termination.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.069
GPT teacher head0.244
Teacher spread0.175 · 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

Explore more

Same venueCanadian acousticsSame topicAcoustic Wave Phenomena ResearchFrench-language works237,207