Non-linear Viscoelastic-Viscoplastic Constitutive Modelling of Creep in Continuous Fibre Glass Mat Thermoplastic Composites
Bibliographic record
Abstract
The creep behavior of a continuous fiber random glass mat thermoplastic (GMT) composite has been characterized in this paper.Short term creep tests consisting of 30 minutes creep followed by recovery were conducted at 14 stress levels over the stress range of 20 to 60 MPa on a single specimen.Statistical analysis showed the material to be linear viscoelastic up-to 20 MPa.However, plastic strains were observed in these tests especially at higher stress levels, which indicated the need for tests on virgin specimens.Long term creep tests over the stress range of 20 to 80 MPa were conducted in increments of 10 MPa to obtain a non-linear viscoelastic viscoplastic constitutive model.Findley's model which is the reduced form of the Schapery non-linear viscoelastic model was found to be sufficient to model the viscoelastic model, while the viscoplastic strains were modeled using the Zapas and Crissman viscoplastic model.A parameter estimation method for such a constitutive model has been developed.The model predictions were found to be in good agreement with the average experimental curves.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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".