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Record W2199456723 · doi:10.1098/rspa.2015.0192

Hydride-induced degradation of zirconium alloys: a criterion for complete ductile-to-brittle transition and its dependence on microstructure

2015· article· en· W2199456723 on OpenAlexaff
Wen Qin, Jerzy A. Szpunar, Janusz A. Koziński

Bibliographic record

VenueProceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 2015
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsYork UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsMaterials scienceHydrideEmbrittlementBrittlenessZirconiumGrain boundaryDuctility (Earth science)MicrostructureMetallurgyHydrogenZirconium alloyHydrogen embrittlementIntergranular fractureIntergranular corrosionZirconium hydrideCorrosionChemistry

Abstract

fetched live from OpenAlex

Hydride-induced embrittlement is an important problem in hydride-forming materials. In this paper, a model is built for analysing a hydride-induced degradation process of the mechanical properties of zirconium alloys. A time-dependent criterion is proposed for determining the critical conditions of complete ductile-to-brittle transition. The dependence of this criterion on microstructure of Zr alloys is analysed in detail. The results show that many factors simultaneously govern the hydride-induced degradation. These factors include the susceptibility of hydrides to rupture, hydride size, hydride distribution, active slip systems, zirconium grain orientation, grain–boundary structure, grain–boundary density, hydrogen concentration, applied stress state and temperature. Intergranular hydrides have a more important influence on the loss in ductility than intragranular ones. The results obtained in this paper are of particular interest for zirconium alloys used in nuclear application.

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 score0.108
Threshold uncertainty score0.253

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 head0.031
GPT teacher head0.236
Teacher spread0.205 · 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

Citations16
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Royal Society A Mathematical Physical and Engineering SciencesSame topicNuclear Materials and PropertiesFrench-language works237,207