MétaCan
Menu
Back to cohort
Record W2008784933 · doi:10.1115/pvp2014-28803

Flow-Induced Vibration Tests of Research Reactor Fuel in the Chalk River Single Channel Test Rig

2014· article· en· W2008784933 on OpenAlexaff
Victor P. Janzen, Bruce Smith, N. J. Fisher, Colette E. Taylor, T. Whan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsBundleVibrationMaterials scienceFlow (mathematics)Fretting wearVortex-induced vibrationFrettingNuclear engineeringStructural engineeringMechanicsEngineeringAcousticsComposite materialPhysics

Abstract

fetched live from OpenAlex

A series of out-reactor vibration and endurance tests have been carried out in support of design changes for nuclear fuel used in a 30 MWt research reactor. Vibration frequencies and amplitudes were measured in and out of flow, and the effect of proposed design changes on vibration levels was determined. Component wear was measured following endurance tests, and the fretting-wear performance was predicted for extended periods of time in operation. Based on the calculated maximum wear depth versus time, external wear of bundle wear pads due to flow-induced vibration is not expected to affect the function of the fuel-bundle endplates and spacers. Various aspects of this work are generally applicable to similar tests of power-reactor and other research-reactor fuel.

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)0.001
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 score0.886
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.066
GPT teacher head0.287
Teacher spread0.221 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicMechanical stress and fatigue analysisFrench-language works237,207