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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 OpenAlexaff
Hadi Sabouri, Hamed Ahmadi, Gholamhossein Liaghat

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.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.065
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

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 designSimulation or modeling
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

Citations12
Published2011
Admission routes1
Has abstractyes

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Same venueInternational Journal of Vehicle Structures and SystemsSame topicHigh-Velocity Impact and Material BehaviorFrench-language works237,207