Investigating interfacial fracture in alumina/silver bimaterial: A study of stress intensity factors and material behavior under mechanical, thermal, and thermo-mechanical loads
Bibliographic record
Abstract
This study investigates the fracture behavior of bimaterials, specifically focusing on the Alumina/Silver interface under mechanical, thermal, and thermo-mechanical loading conditions. Through the analysis of Stress Intensity Factors (SIFs) across various crack lengths, temperatures, and along multiple regions and fronts of the crack, we provide valuable insights into the distribution and the nature of stresses, shedding light on how different loading conditions influence crack propagation. Our findings show that, under mechanical loading, the tensile mode SIF (KI) exhibits a straightforward relationship with applied stress, increasing with crack length. In contrast, under thermal loading, KI generally decreases on the surface as the temperature rises, while it increases within the interface, highlighting the complex interplay of thermal expansion and the mismatch of material properties. The thermo-mechanical case combines these effects, further amplifying the role of residual stresses from manufacturing processes and thermal stresses, significantly affecting SIFs and crack growth, especially in bimaterial interfaces. These results contribute to a deeper understanding of fracture mechanisms in hybrid materials.
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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".