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Record W1999737866 · doi:10.1016/j.mspro.2014.06.012

Quasi-static and Dynamic Fracture of High-strength Aluminium Alloy

2014· article· en· W1999737866 on OpenAlexaff
Odd Sture Hopperstad, Tore Børvik, Marion Fourmeau, K.O. Pedersen, Ahmed Benallal

Bibliographic record

VenueProcedia Materials Science · 2014
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsImpact
Fundersnot available
KeywordsMaterials scienceIntermetallicIntergranular fractureAluminiumAlloyIntergranular corrosionVoid (composites)Transgranular fractureMicrostructureAluminium alloyMetallurgyGrain boundaryComposite material

Abstract

fetched live from OpenAlex

The quasi-static and dynamic fracture behaviour of the high-strength aluminium alloy AA7075-T651 was studied by material testing over a wide range of stress states and dynamic impact testing using different shapes of the projectile. Rolled plates of the aluminium alloy exhibited anisotropy owing to the complex, non-recrystallized microstructure. In the quasi-static tests, a marked influence of loading direction on the fracture strain was observed, in addition to the expected strong effect of the stress state. Fragmentation and delamination were observed in the impact tests within the impact zone of the plates. A metallurgical study showed the crack growth to be partly intergranular, along the grain boundaries or precipitation free zones, and partly transgranular by void formation around fine and coarse intermetallic particles.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.262
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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
Published2014
Admission routes1
Has abstractyes

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