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Record W1966095609 · doi:10.1115/icone17-75371

Operating Experience With Mechanical Seals in Reactor Shutdown Cooling Pumps

2009· article· en· W1966095609 on OpenAlexaff
George Staniewski, Ali Keshavarz, William Ferguson

Bibliographic record

VenueVolume 1: Plant Operations, Maintenance, Engineering, Modifications and Life Cycle; Component Reliability and Materials Issues; Next Generation Systems · 2009
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsOntario Power Generation
Fundersnot available
KeywordsShutdownNuclear engineeringHeat exchangerHeaderWater coolingElectronic circuitNuclear reactorDecay heatEnvironmental scienceEngineeringProcess engineeringMechanical engineeringElectrical engineeringComputer science

Abstract

fetched live from OpenAlex

The CANDU nuclear reactor has a dedicated shutdown cooling system (SDC) to remove heat from the primary heat transport system and transfer it to the high pressure service water open system. There are four individual SDC circuits, each connected to one of the four quadrants of the reactor. The four circuits are independent and each of them consists of one SDC pump and one heat exchanger. When the reactor is within normal operation, all four SDC loops are isolated but kept pressurized to the reactor inlet header of 9.7 MPa (1410 psi) and warmed up to 93°C. During reactor shutdown condition and at reactor start-up operation, the SDC pumps are in-service. They operate in several different configurations and are exposed to a number of different pressure conditions. This paper will present typical failures of the seal components.

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)0.006
metaresearch head score (Gemma)0.009
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 score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.001
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 head0.030
GPT teacher head0.230
Teacher spread0.200 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueVolume 1: Plant Operations, Maintenance, Engineering, Modifications and Life Cycle; Component Reliability and Materials Issues; Next Generation SystemsSame topicNuclear Materials and PropertiesFrench-language works237,207