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Record W14225235 · doi:10.5006/c2005-05582

Hydrogen Induced Cracking of Titanium Alloys in Environments Anticipated in Yucca Mountain Nuclear Waste Repository

2005· article· en· W14225235 on OpenAlexaff
Fred Hua, K. Mon, Gopal De, Pasu Pasupathi, G.M. Gordon, David W. Shoesmith

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsWestern University
Fundersnot available
KeywordsYuccaRadioactive wasteCrackingMaterials scienceTitaniumMetallurgySpent nuclear fuelHydrogenCrevice corrosionWaste managementNuclear engineeringCorrosionEnvironmental scienceComposite materialChemistryEngineering

Abstract

fetched live from OpenAlex

Abstract This paper presents a review hydrogen-induced cracking (HIC) of Ti Grade 7 and other relevant titanium alloys under nuclear waste repository environmental conditions, with a primary emphasis on the corrosion processes possible in aqueous environments at Yucca Mountain. The current understanding of hydrogen absorption and the role of passive film on titanium alloys is presented. The key corrosion processes that could occur are addressed individually. Finally, the models developed to assess the hydrogen concentration in the drip shield due to passive general corrosion and galvanic coupling to less noble metals under repository conditions is described. To facilitate the discussion, Ti Grades 2, 5, 7, 9, 11, 12, 16, 17, 18, and 24 are included in this review. It can be concluded that under repository conditions, HIC of titanium alloys will not occur because there will not be sufficient hydrogen in the metal even after 10,000 years of emplacement. Based on the many assumptions adopted this assessment can be considered very conservative.

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 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 score0.005
Threshold uncertainty score1.000

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)0.0010.000

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 head0.017
GPT teacher head0.225
Teacher spread0.207 · 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

Citations4
Published2005
Admission routes1
Has abstractyes

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