Creep behavior of latania natural fiber‐reinforced epoxy composites at elevated temperatures
Bibliographic record
Abstract
Abstract Unique properties of natural fibers have made them strong sustainable materials in reinforcing composites. Latania natural fibers, recently compared to jute natural fibers, have shown a better mechanical performance in reinforcing polymer composites. Latania natural fiber‐reinforced epoxy (LFRE) laminated composites were studied under creep loads at elevated temperatures. The creep tests were performed at temperatures of 80 and 100°C and were subjected to 35% of the ultimate tensile strength. The failure time, initial strain, strain rate, and Larson–Miller constant for specimens were evaluated. The results suggested that change in temperature affected both the initial strain and the failure time. Scanning electron microscopy images were used to investigate the failure mechanisms of LFRE composites subjected to creep loads. The results of this study can be used as a benchmark in designing bio‐composite structures in which latania natural fibers are used.
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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 | 0.000 |
| 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) | 0.001 | 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".