Influence of Lode parameter on damage and fracture behavior of polyethylene materials
Bibliographic record
Abstract
Abstract In this study, a series of tests on notched polyethylene (PE) plate specimens providing clues to damage and fracture behavior for a wide range of Lode parameters was carried out. Two series of numerical simulations of each test were performed, the first one without taking damage evolution into consideration and the second one taking damage evolution into consideration. Good correlation of experimental and numerical results in terms of the engineering stress–displacement relation has been achieved. The results show that the average Lode parameter increases with the increasing notch radius of the plate specimens. In addition, the damaged and undamaged constitutive equations were determined from the first and second series of finite element (FE) simulation, respectively. The critical damage parameter calculated from the damaged and undamaged constitutive equations was found to decrease when the average Lode parameter is increased. Furthermore, fracture occurs at the center of the minimum cross section, where the maximum damage parameter and plastic strain occur. The fracture strain was found to increase with the increase in the average Lode parameter.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 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".