Compression, impact and residual strength after impact properties of graphene/fiberglass/epoxy multiscale composites
Why this work is in the frame
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Bibliographic record
Abstract
The effect of graphene nanoplatelets (GNPs), graphene oxide (GO), and reduced-graphene oxide (rGO) on compression, impact and residual strength after impact properties of glass-fiber reinforced polymer composites (GFRPs) were examined. Vacuum-assisted resin transfer molding (VARTM) method was used to simultaneously modify the fibers and the matrix with carbon nanomaterials. A solution of nanoparticle/epoxy mixed in a solvent was sprayed onto the fabric and was also introduced into the epoxy matrix by an agitator mixer. The results from tensile testing indicated that the addition of GNPs, GO, and rGO augmented the mechanical properties of glass fiber-reinforced composites. According to our experimental results, both fiber and matrix-dominant properties were improved under compression, impact and residual strength after impact properties tests, leading to a superior composite. • Examined GNPs, GO, and rGO effects on GFRP compression and impact properties. • Used VARTM to modify fibers and matrix with carbon nanomaterials. • Nanoparticle/epoxy solution sprayed on fabric and mixed into the epoxy matrix. • Enhanced compression, impact, and residual strength after impact in GFRPs
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it