Prediction of Stiffness Degradation and Damage of Unidirectional GRP Composites Under Fatigue Cycles
Bibliographic record
Abstract
Fatigue damage of unidirectional glass fibrereinforced polymer (GRP) composites was studied as composite stiffness reduced with progressive number of fatigue cycles.Response of GRP composites has been formulated based on (i) cracking mechanism and damage progress in matrix, matrix-fibre interface, and fibre and (ii) corresponding stiffness reduction of composite laminate as the number of cycles increases.The proposed damage analysis recognizes the effect of matrix-fiber interfacial bonding by introducing factor / Factor/is described as a function of number of cycles N, interface shear strength, volume fraction of matrix and fiber, and the applied shear stress along the interface.This factor varies between zero and unity.Fatigue damage progress predicted based on the proposed damage analysis for GRP composites was found in good agreement with experimentally obtained values of fatigue damage at various cyclic stress magnitudes, stress ratios, and off-axis angles.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".