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Record W3107846059 · doi:10.1201/9781003076155-95

Effect of Material Properties on the Ballistic Impact Resistance of Kevlar

2020· book-chapter· en· W3107846059 on OpenAlexaff
H. L. Gower, Duane S. Cronin, Michael J. Worswick, A. Plumtree

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsKevlarMaterials scienceComposite materialResistance (ecology)Impact resistanceBiologyComposite number

Abstract

fetched live from OpenAlex

Understanding how material properties contribute to a composite material’s performance during ballistic impact is necessary for the development of new body armour. A numerical model developed for ballistic impact on Kevlar panels was used to perform a parametric study on material properties. The effect of in-plane modulus of the plies, through thickness modulus of the plies, and the shear strength between the plies on backplane deformation and velocity was studied. The analysis showed that increasing the in-plane modulus decreases the backplane deformation, and increasing the through thickness modulus increases the backplane deformation. The inter-ply shear strength had no significant effect, and factor interactions were minimal. Further study in this area is necessary.

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)0.001
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 score0.048
Threshold uncertainty score0.991

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)0.0100.000

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 head0.261
Teacher spread0.234 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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