Interlaminar prestressing reinforcement of epoxy/glass fiber composites
Bibliographic record
Abstract
Abstract This paper describes an innovative through-thickness fiber reinforcement technology that employs in situ shrinking fibers to provide supplemental strength-enhancing interlaminar prestresses for fiber-reinforced polymeric laminate structures. Interlaminar stitched fibers shrink and provide prestress. The shrinkage is heat-activated and timed to coincide with epoxy-curing steps. This new technology includes the design and fabrication of in situ shrinking fibers to improve the peel strength of epoxy/glass fiber composite layers. The epoxy specimens were shrink-reinforced under four different conditions; the fibers were activated when the epoxy matrix was cured for 4, 12, and 20 h, or without having any curing time beforehand. Then, the peel strengths and flexural strengths were compared. Also, in-plane tensile tests were conducted under identical conditions to investigate whether the through-thickness shrinking fibers affect the in-plane properties. The results indicated that the maximum improvement from the fiber activation was shown when the epoxy was cured for 4 h, while there was no significant effect from the in-plane tensile test.
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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) | 0.000 | 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) | 0.001 | 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".