Simulation of intergranular crack nucleation and evolution in polycrystal metals on mesoscale
Bibliographic record
Abstract
This paper presents research on the development of a simulation method for the study of the mechanisms of intergranular crack nucleation and propagation in polycrystal metals on the mesoscale. Microstructural geometry models were built randomly using Voronoi techniques. Based on these grain structure geometry models, two-dimensional grain structure finite element models were created using a Patran Command Language (PCL) program. Techniques for the implementation of the cohesive elements between grain boundaries were developed in PCL for the generation of two-dimensional cohesive models. Simulations on intergranular crack nucleation and evolution along grain boundaries using two-dimensional finite element cohesive models were carried out on the mesoscale level. Several aspects that affect the crack nucleation and propagation were studied, which included random grain geometries, grain boundary misorientations, grain boundary peak strength, grain boundary fracture energy, grain properties, and grain plasticity. The simulations demonstrated that the cohesive model is a useful and efficient modeling tool for the study of the intergranular crack nucleation and evolution on the mesoscale level. The simulation results showed that the factors studied have large impacts on intergranular crack nucleation and evolution based on the current model capabilities and conditions.
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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 | 0.000 | 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".