Computational study on temperature-dependencies of relaxation and elastic properties in anisotropic viscoelastic constitutive law for fiber-reinforced thermoplastic resin
Bibliographic record
Abstract
With use of the numerical material testing (NMT) approach based on homogenization theory, a time-temperature reduction law is proposed for both relaxation and elastic properties in the orthotropic viscoelastic constitutive equation, which is supposed to represent the macroscopic material behavior of unidirectional fiber reinforced thermoplastics (FRTP) under various temperature environments. We start with dynamic viscoelastic measurements for polycarbonate (PC) under different ambient temperatures to evaluate the master curves of storage and loss moduli as well as loss tangent that exhibit the temperature- and time-dependent characteristics of its relaxation and elastic properties. Then, with the use of the obtained viscoelastic properties of the resin, a series of NMTs simulating macroscopic stress relaxation are conducted on a periodic microstructure (unit cell) model of the FRTP to characterize the macroscopic viscoelastic material behavior. Finally, the shift functions of the orthotropic relaxation and elastic properties in the assumed macroscopic viscoelastic constitutive law involving the proposed time-temperature reduction law are determined to clarify its time- and temperature-dependent characteristics.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".