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Record W2016075451 · doi:10.1115/pvp2007-26773

Acoustic Noise Reduction in Large-Diameter Steam-Line Gate Valves

2007· article· en· W2016075451 on OpenAlexaff
Victor P. Janzen, Bruce Smith, Brian V. Luloff, Jonathan Pozsgai, Andrew R. Dietrich, James M. Bouvier, Alan J. Errett, Gregory T. Kitko, Thomas C. Roberts

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsPipingGate valveNoise (video)VibrationAcousticsNoise reductionEngineeringMaterials scienceMechanical engineeringStructural engineeringComputer sciencePhysics

Abstract

fetched live from OpenAlex

High levels of tonal noise continue to be a potential problem for piping systems that include inline gate valves, particularly for valves located in large-diameter steam lines of power plants. In such cases the large amounts of energy available in the flowstream, and the ineffectiveness of design guidelines in avoiding acoustic excitation, combine to provide a very real possibility of severe noise problems and potentially high levels of piping vibration. This paper presents results of a scale-model testing program designed to investigate the excessive noise and vibration produced by a 28"-diameter gate valve in a recently constructed power plant. After model testing of the original valve configuration indicated that the noise was caused by vortex shedding over the valve’s interior cavity, numerous tests were conducted to investigate the dependence of noise production on interior valve geometry. Results showing how the noise was reduced and recommendations for avoiding such problems are presented.

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 score0.264
Threshold uncertainty score0.377

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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