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Record W2330801234 · doi:10.1115/pvp2007-26699

Residual Stresses in CANDU Feeder Bends: Comparison of Measurements and Predictions

2007· article· en· W2330801234 on OpenAlexaff
M. Yetisir, S. Khajehpour, Yuhan Ding

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsResidual stressResidualCrackingMaterials scienceStructural engineeringStrain gaugeRADIUSGeotechnical engineeringGeologyComposite materialEngineeringComputer science

Abstract

fetched live from OpenAlex

In one CANDU® nuclear station, 11 outlet feeder pipes have been replaced because of cracking in the bends (9 of them were detected before leaked). The cracked feeder bends, which were made out of SA-106 Grade B material, were 2.5 inches (64 mm) in nominal diameter and with a small bend radius of 3.75 inches (95 mm). In all cases, cracks were primarily axial in orientation and were initiated either on the inside surface along the flanks of the bends or on the outside surface along the extrados of the bends. Root cause analyses indicated that the residual stress played a significant role in these failures. Measured residual stresses data from ex-service and spare feeder bends have been used to identify possible crack locations, to evaluate susceptibility to cracking of various feeder bends and to develop inspection strategies in limited-scope inspection campaigns. This paper documents the numerical prediction of residual stresses in feeder bends and compares these data with field measurements.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.042
GPT teacher head0.283
Teacher spread0.241 · 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 designSimulation or modeling
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
Published2007
Admission routes1
Has abstractyes

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