Anelastic Behavior Modeling of SiC Whisker‐Reinforced Al <sub>2</sub> O <sub>3</sub>
Bibliographic record
Abstract
Anelastic recovery during creep deformation of a whisker‐reinforced Al 2 O 3 matrix is examined in order to study the complex interactions of the reinforcement network with the matrix. In this paper, the finite‐element method is used to model the elastic and creep properties of a representative volume element during creep deformation. Two types of unit cells are investigated. The first is a three‐dimensional (3D) unit cell in which randomly oriented short fibers do not contact each other. The second case examined is a 2D cell within which fibers are aligned regularly so as to percolate through the unit cell. Simulation results from the 3D model verify the necessity of a percolating network for the anelastic recovery. Results from the 2D model show that anelastic recovery is attributed more to whisker bending, rather than to contact effects between fibers of the whisker network. Finally, FEM simulations of the maximum recoverable strain and characteristic relaxation time are found to be in good agreement with an analytical model recently developed by Wilkinson and Pompe, which is based on the application of Euler's beam theory in a 2D visco‐elastic unit cell.
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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 | 0.000 | 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 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".