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Record W2077948524 · doi:10.1051/dymat/2009202

Constitutive behavior of magnesium alloy sheet at high strain rates

2009· article· en· W2077948524 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDYMAT 2009 - 9th International Conferences on the Mechanical and Physical Behaviour of Materials under Dynamic Loading · 2009
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCrashworthinessMaterials scienceSplit-Hopkinson pressure barStrain rateFinite element methodCrashConstitutive equationMagnesium alloyBar (unit)Ultimate tensile strengthStructural engineeringComposite materialAlloyComputer scienceEngineering

Abstract

fetched live from OpenAlex

In an effort to improve the fuel efficiency of automobiles, car designers are investigating new materials to reduce the overall automobile weight. Magnesium alloys are good candidates to achieve that weight reduction due in part to their low density. As part of a project on the interaction between forming and crashworthiness, constitutive parameters of AZ31B sheets were determined in order to support finite element analysis of the material response throughout the forming process and in crash structures. Stressstrain data was collected at 0.003s, 100s and 1000s in both the rolling and transverse directions. The intermediate strain-rate response was collected with an instrumented falling weight impact test for a rate of 100s, while 1000s tests were performed with a tensile split Hopkinson bar. The Johnson-Cook model was successfully fit to the experimental data which showed significant strain rate dependence in both directions.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.294
Teacher spread0.267 · 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