Model development for work of fracture of hybrid composites
Bibliographic record
Abstract
ABSTRACT The theoretical modeling for work of fracture of hybrid composites was investigated. Current available models for the work of fracture mostly consider single fiber composites and are not supported by experimental evidence. This is due to the complex nature of work of fracture, and presence of far too many variables for the experimental validation such as interaction of fibers with matrix and with each other. In this work, a model was developed for hybrid composites based on the modification of rule of mixtures, considering pull‐out, fracture, debonding, and stress redistribution for fibers along fracture for matrix. Later, the model was experimentally evaluated by GF‐hemp‐PP hybrid composites, and showed a better agreement in comparison to a prevalent model for work of fracture. Aside from matrix failure, the dominant failure mechanisms were fiber stress redistribution for long fiber composites and fiber pull out for short fiber composites. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017 , 134 , 44711.
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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 | 0.001 | 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".