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Record W4412568725 · doi:10.1016/j.actamat.2025.121370

Creep-induced microstructures in Zircaloy-4: Comparing thermal and irradiation creep

2025· article· en· W4412568725 on OpenAlexafffund
Ronit Roy, Fei Long, Brodie Moore, Mark R. Daymond

Bibliographic record

VenueActa Materialia · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsQueen's University
FundersUniversity Network of Excellence in Nuclear EngineeringNatural Sciences and Engineering Research Council of CanadaQueen's University
KeywordsCreepMaterials scienceMicrostructureZirconium alloyIrradiationMetallurgyThermalComposite materialThermodynamicsZirconiumNuclear physics

Abstract

fetched live from OpenAlex

Irradiation creep is one of the most critical deformation mechanisms observed in nuclear reactor components, which results in a significant shape change during the service period. In irradiation creep, the magnitude of the shape change is typically significantly higher than under thermal creep under comparable stresses and temperatures. Hence, it is essential to consider the effect of irradiation creep for the safe and economical operation of nuclear reactors. Although numerous works have been conducted to understand the irradiation creep behaviour, many aspects are still not fully understood. The present study explores the irradiation creep behaviour using a multiscale characterization approach by combining high-resolution electron backscatter diffraction and transmission electron microscopy analysis. The microstructure that has evolved during irradiation creep is compared with two thermal creep examples, with our analysis considering the residual elastic strains, GND densities, and dislocation (also irradiation defect) microstructures. It is observed that the irradiation creep is driven by both diffusion- and dislocation-based mechanisms, with a significant diffusion creep component, owing to the radiation-enhanced diffusion rate and the abundant number of point defects produced during irradiation. On pyramidal traces, numerous localized concentrations are observed in GND density and residual strain maps, resulting from the cross-slip of dislocations and the remanent debris accumulated through the process. 3D tomography analysis further reveals the dislocation creep mechanism in Zr alloys, where <a> dislocations emerge as small dislocation loops on pyramidal planes and multiply through cross-slip.

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 score0.314
Threshold uncertainty score0.829

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.244
Teacher spread0.228 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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