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Record W4389236360 · doi:10.1520/stp164520220020

Effect of Grain Dimensions on the Diametral Creep of Zr-2.5Nb Pressure Tubes

2023· book-chapter· en· W4389236360 on OpenAlexaff
Grant A. Bickel, Oksana Shiman, Travis Skippon

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsCanadian Nuclear Laboratories
Fundersnot available
KeywordsCreepMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The α grains in hot extruded Zr-2.5Nb pressure tubes are highly elongated in the extrusion direction (tens of microns in length), slightly elongated in the hoop direction (on the order of a few microns), and very thin in the direction of the tube wall (<1 μm). Because diametral creep may limit the operational life of pressure tubes in CANDU reactors, studies to understand the effect of these grain dimensions on creep have been ongoing. In this study, in-service diametral creep measurements from CANDU reactors are correlated with α grain dimensions after accounting for the differences in service conditions (operating time, neutron flux, and temperature). The studied pressure tubes cover a population of Zr-2.5Nb CANDU pressure tubes manufactured since 1974 up to 1995 and therefore include a range of manufacturing processes with a corresponding variation of microstructure properties. The α grain dimensions are measured from the images taken using scanning transmission electron microscopy. A key finding of this study is that the α grain aspect ratio, in the cross section perpendicular to the extrusion direction (with the major axis roughly aligned in the hoop direction and minor axis roughly aligned in the wall direction), is a dominant correlate to explain and predict diametral creep.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.165
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0070.001

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 head0.022
GPT teacher head0.232
Teacher spread0.210 · 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.

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
Published2023
Admission routes1
Has abstractyes

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