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Record W2504409650 · doi:10.13182/nt06-a3709

Root Cause of Instability in Liquid Zone Control System of CANDU Reactor

2006· article· en· W2504409650 on OpenAlexaboutno aff
Sang-Nyung Kim, B.R. Koh, Joon-Suk Ji

Bibliographic record

VenueNuclear Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsInflowOutflowHeliumInstabilityMechanicsNuclear engineeringNuclear reactorEnvironmental scienceWater flowLight-water reactorNuclear physicsPhysicsMeteorologyEnvironmental engineeringAtomic physics

Abstract

fetched live from OpenAlex

When reactivity insertion such as refueling occurs in Canada deuterium uranium (CANDU) reactors, the power and the water level are tilted in the upper outer zone of the liquid zone control system (LZCS) and fluctuate unstably for a certain period of time (1 to 5 days). Such instability is observed in most of the CANDU reactors in service around the world, but neither its root cause has been identified nor have solutions against it been established. Therefore, this study experimentally and analytically attempted to prove that the root cause lies in the holdup of light water on the top of the tube support plate (TSP) due to the mismatch between the net volumetric flow rate of light water and helium crossing the narrowed porous TSP installed within the LZCS compartment by performing hydrodynamic simulation of the inflow/outflow of light water and helium. Two solutions against the aforementioned instability of LZCS were suggested. One is to regulate volumes of helium gas flowing into the compartment and light water flowing therefrom, and the other is to enlarge the flowing paths of helium and light water within the TSP. The former may be applicable to nuclear reactors in service and the latter to those planned to be constructed.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.003
GPT teacher head0.165
Teacher spread0.161 · 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 designObservational
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

Citations1
Published2006
Admission routes1
Has abstractyes

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