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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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.970

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 head0.069
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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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