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Record W2058075793 · doi:10.4273/ijvss.3.3.05

Ballistic Impact Perforation into GLARE Targets: Experiment, Numerical Modelling and Investigation of Aluminium Stacking Sequence

2011· article· en· W2058075793 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

VenueInternational Journal of Vehicle Structures and Systems · 2011
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsImpact
Fundersnot available
KeywordsBallistic limitProjectileMaterials scienceAluminiumPerforationGLAREComposite materialFinite element methodWedge (geometry)Hardening (computing)MechanicsOpticsStructural engineeringLayer (electronics)PhysicsMetallurgyEngineering

Abstract

fetched live from OpenAlex

Experimental investigation of high velocity perforation of 2/1 and 3/2 GLARE 3 target panels with flat ended projectile was presented. Also, numerical simulations were carried out using explicit nonlinear finite element software, LS-DYNA, considering strain rate hardening effects. The ballistic limit was determined experimentally and numerically. Some GLARE 3/2 laminates with different Aluminium thickness is considered. The Aluminium thickness varies in frontal, medial and distal layers of GLARE, while the thickness of glass/epoxy layers is constant, and the ballistic limit and absorbed energy of each GLARE target is determined numerically. Specific absorbed energy is defined as goal function and should be maximized. The laminate with maximum specific absorbed energy is determined. In addition, energy absorbing portion of each layer is determined. There is a reasonable agreement between numerical and experimental results.

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)0.000
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 score0.058
Threshold uncertainty score0.356

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 head0.065
GPT teacher head0.323
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