Analysis of the Bridging Zone Contribution to the R-Curve Behavior of Sic-Platelet-Reinforced Alumina Using the Chevron-Notched Bend Bar Specimen
Bibliographic record
Abstract
The effect of platelet reinforcements on the toughening of ceramic matrices has been the focus of several studies over the past few years. Although the strength performance of ceramics reinforced by platelets is inferior to their whisker-reinforced counter parts, comparable toughening effects can be obtained. Similar to whisker-reinforced materials, R-curve behavior can also be observed in some platelet reinforced ceramics, including alumina reinforced with SiC-platelets. Results of R-curve studies on a composite of alumina containing 20 vol.% SiC-platelets in the long crack regime are presented in this work. The R-curves were obtained using chevron-notched bend bar specimens. The weight function method was used to extract from the curves the magnitude and range of bridging tractions in this material. These results indicated similar levels of bridging tractions exist in both whisker and platelet reinforced material.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".