Impact Performance of Macrocomposite Laminates-2. Effect of Adhesive Layers
Bibliographic record
Abstract
The effect of an adhesive layer on impact energy of macroscopic materials was studied. Both glass and carbon fibers reinforced plastic (GFRP and CFRP) composites were bonded to stainless steel using two types of adhesives: epoxy and ionomer. The FRP materials contain biaxial and quasiaxial fabrics. The impact properties of the FRP/stainless steel using the two types of adhesives were compared at both low (10 J) and high (120 J) energies. The results indicate that adhesive layer can make a significant contribution in improving the impact properties of composite materials. Ionomer adhesive proved to be more active than the epoxy adhesive as evident from degeneration of impact properties which was less than 20% while that of epoxy was as high as 30%. It was also observed that the deformation sustained by the stainless steel using epoxy adhesive was more severe than that of ionomer adhesive.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".