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Record W4409762067 · doi:10.1016/j.ijplas.2025.104344

Zirconium δ-hydrides: Strain localisation, ratcheting, and fatigue crack propagation

2025· article· en· W4409762067 on OpenAlexaff
Daniel J. Long, Thibaut Dessolier, T. Ben Britton, Fionn P.E. Dunne

Bibliographic record

VenueInternational Journal of Plasticity · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsUniversity of British Columbia
FundersEngineering and Physical Sciences Research CouncilRolls-Royce
KeywordsMaterials scienceZirconiumFatigue testingStrain (injury)Structural engineeringForensic engineeringMetallurgyComposite materialEngineering

Abstract

fetched live from OpenAlex

• Digital image correlation based cyclic post-precipitation strain measurements are made of micrometre-scale zirconium hydride features. • An unexpected distinct strain directionality is measured and is shown to be linked with hydride stringer morphology using crystal plasticity finite element modelling. • Networks of geometrically necessary dislocations are shown to develop around an intragranular hydride stringer, which increase cyclically for up to five thermomechanical cycles (due to hydride strain ratcheting). • New insights into the mechanisms involved in microstructurally short fatigue crack propagation in hydrided zirconium alloys at room temperature are presented, the nature of which are shown to have a substantial effect on crack propagation rate. As many nations commit to achieving Net Zero, many low carbon scenarios indicate that civil nuclear power generation and the economics thereof are set to play a vital role. To maximise nuclear reactor operation lifetimes, it is essential to develop mechanistic understanding of failure and degradation mechanisms in safety-critical components for increasingly holistic reactor design codes and standards. In this paper, advanced micromechanical testing with in situ digital image correlation is used in combination with crystal plasticity modelling to study various aspects of damage associated with δ hydride precipitates in Zircaloy-4 for reactor fuel cladding applications. Measurements of static and cyclic hydride precipitation strains demonstrate a discernible strain field directionality (associated with intragranular precipitation) which was not previously reported, while cyclic thermomechanical loads are shown to promote the cyclic accumulation of strain due to repeated precipitation and dissolution of hydrides (hydride strain ratcheting) for up to five cycles, leading to the development of networks of geometrically necessary dislocations. Using crystal plasticity finite element modelling of the volumetric expansion associated with hydride precipitation, the strain directionality phenomenon is shown to be linked with hydride morphology. Comparisons with experimental strain fields also suggest that hydride plasticity is an important consideration for damage accumulation during precipitation. Experimental measurements of short fatigue crack propagation through Zircaloy-4 microstructures containing hydrides reveal new crack propagation mechanisms including decohesion, which on average, lead to accelerated rates of crack growth. Twins and hydride precipitation therein are also implicated in even more damaging fatigue behaviour as fatigue cracks are provided a seemingly brittle and direct path for fracture, which was not previously reported in the literature.

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)0.001
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 score0.040
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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

Citations7
Published2025
Admission routes1
Has abstractyes

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