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Record W1994840412 · doi:10.1115/icone18-29149

Material Surveillance Program Regulatory Guidance for Steam Generator Tubes Extracted From Canadian CANDU Reactors

2010· article· en· W1994840412 on OpenAlexaffabout
Sue Min Liu, Carroll Blair, Jovica Riznic, Nicholas Christodoulou, Raoul Awad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsCanadian Nuclear Safety Commission
Fundersnot available
KeywordsTube (container)Generator (circuit theory)Boiler (water heating)EngineeringReliability engineeringComputer scienceWaste management

Abstract

fetched live from OpenAlex

The Canadian Nuclear Standard, CSA N285.4, requires periodic extraction of steam generator tubes for metallurgical examination; however, the Standard does not specify detailed program requirements. Therefore, Canadian Nuclear Safety Commission (CNSC) staff has recently brought forth a set of guidelines to clarify the regulatory expectations for steam generator tube material surveillance programs. This paper introduces the material surveillance program required by CSA N285.4, and provides a discussion of the CNSC staff proposed guidelines, to explain the technical basis behind the expectations for tube removal and examination. The objectives of the steam generator tube material surveillance program include evaluating inspection tool capabilities, confirming tube material performance over the life of the plant and assessing the operating environment’s potential contribution to tube degradation. The knowledge acquired from the program can reduce uncertainties associated with the non-destructive inspection practices, and can provide data for steam generator aging management programs. Over the life of a plant, CSA N285.4 requires that only a few tubes be extracted for examination. However, each tube removal is costly and represents significant personnel dose. The tube removal and examination guidelines will aid in maximizing the value of each tube extracted for metallurgical examination.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.983

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 head0.008
GPT teacher head0.227
Teacher spread0.219 · 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
Published2010
Admission routes2
Has abstractyes

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