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Record W4221054781 · doi:10.1177/14644207221085686

Tensile and compressive damage assessment of a novel sandwich composite structure made of Kevlar/flax/epoxy hybrid laminates

2022· article· en· W4221054781 on OpenAlexaff
Ahmed Sarwar, Habiba Bougherara, Radovan Zdero

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications · 2022
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsWestern UniversityToronto Metropolitan University
Fundersnot available
KeywordsKevlarComposite materialMaterials scienceEpoxyComposite numberUltimate tensile strengthFiberStiffnessComposite laminatesTension (geology)Natural fiberSynthetic fiberAramidCompression (physics)

Abstract

fetched live from OpenAlex

This is a study to quantify damage progression of a new Kevlar/flax/epoxy (KFE) hybrid composite made with 12 layers of pure flax fiber fabric sandwiched between 4 layers of pure Kevlar fiber weave. There were four versions of the composite: 0° unidirectional, 0°/90° cross-ply, ± 45° angle-ply flax fibers, and Kevlar fibers-only as the control. Composite plates were subjected to progressive load-unload levels in tension and compression until failure and were evaluated for stiffness degradation, permanent strain, and crack density. Unidirectional KFE laminates exhibited less damage accumulation compared to cross ply and angle ply configurations. Damage progression and failure of KFE hybrids mainly involved cracks through flax fiber bundles and at flax fiber/epoxy interfaces. The reported data are useful for damage-limited design structures made from a combination of natural and synthetic fibers.

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 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 score0.032
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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.

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and ApplicationsSame topicNatural Fiber Reinforced CompositesFrench-language works237,207