Multiscale Modeling of the Effect of Nanoscale Defects on Al2O3 Mechanical Behavior
Bibliographic record
Abstract
This study presents a multiscale framework to simulate the effect of nanovoids on the mechanical response of α-Al2O3 at finite temperatures. The bridging cell method, which divides the system into three domains (atomistic, bridging and continuum) and incorporates a finite element method throughout the system, was performed for the simulations. Two important crystal orientations of basal and prismatic planes of α-Al2O3’s hexagonal crystal structure were selected. The simulations were conducted at room temperature, 300K, and fire temperature, 1400K, based on the variety of in-service temperatures alumina is being applied in. The results were compared with respect to deformation behavior, stress distribution and ultimate tensile strength. Results showed different failure mechanism and tensile strength for the two crystal orientations. In addition, the magnitude of stresses and material’s deformation were increased at higher temperatures, where the ultimate tensile strength slightly reduced.
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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 | 0.001 |
| 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 | 0.001 | 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".