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Record W2797659673

High-Temperature CANDU Fuel Pin Deformation: Experiment and Model

2013· article· en· W2797659673 on OpenAlexfundno aff
C. Thiriet, Karen Colins, Paul T. Williams

Bibliographic record

VenueNCSU Libraries Repository (North Carolina State University Libraries) · 2013
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsnot available
FundersAtomic Energy of Canada Limited
KeywordsNuclear engineeringDeformation (meteorology)Environmental scienceMaterials scienceEngineeringComposite material
DOInot available

Abstract

fetched live from OpenAlex

Due to the horizontal orientation of CANDU ® fuel channels, the fuel pins, which are assembled in bundles, may deform (sag) by gravity during high-temperature abnormal reactor events.Because excessive fuel pin and bundle deformation may affect the progression and consequences of potential accidents, a significant experimental and modeling program, mainly funded by CANDU ® Owners Group (COG), has been started at Atomic Energy of Canada Limited (AECL).The unique experimental set-up and instrumentation used for high-temperature single fuel pin deformation tests are presented in this paper.The deflection was measured by a laser light-stripe sensor travelling along the pin length.The fuel pin was supported near its ends and heated at about 1°C/s.Its deflection became readily detectable when the temperature reached 760 ± 10°C.The sag rate was between 0.019 and 0.010±0.002mm/s during 120 s hold periods at 800°C.During continued heating at 1°C/s, the sag rate increased significantly to about 0.20±0.01mm/s at temperatures above 870°C.The fuel pin sagged by >28 mm to contact the furnace tube at 970°C before reaching the 1000°C plateau.Experimental results of the fuel pin sag test have been compared with those of a computer simulation of the test using ANSYS models.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.153
Teacher spread0.147 · 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
Published2013
Admission routes1
Has abstractno

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