Deep stretch of polyethylene by transverse loading: Finite element simulation to characterize the influence of indenter size and loading speed on the stress development and distribution
Bibliographic record
Abstract
Abstract Deep stretching has been found to decrease the cracking resistance of polyethylene (PE) in an aggressive environment. This idea has been adopted for developing a test method that uses indentation loading to generate a deep stretch of a PE plate so that time for crack generation is shortened. Work presented is to use finite element (FE) modeling to investigate the influence of indenter size and loading speed on the efficacy of the test method. Mechanical testing was carried out using cylindrical indenters of 7 and 13 mm in diameter on a plate that is supported so that only a 15‐mm diameter area can be stretched. Test results were used to calibrate material input data for the FE modeling and to establish the stress development and distribution during the deep stretch process. FE modeling considered three types of material input, one purely based on elastic–plastic deformation and the other two considering creep or damage during the deep stretch. All FE modellings suggest that the 13‐mm indenter is more effective than the 7‐mm indenter in introducing a monotonic total stress increase during the deep stretch, and thus the study concludes that the former should be used to introduce the deep stretch.
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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".