Caractérisation rapide de propriétés en fatigue d'un composite stratifié sous sollicitations hors plan et de compression à partir d'essais d'auto-échauffement
Bibliographic record
Abstract
Due to their technological maturity, laminated composites now enable the design of complex and optimized parts, some of which require fatigue justification with the aim of achieving long service lives. However, this poses a major challenge for the design of composite parts, as the visco-elasto(plastic) nature of organic matrices limits loading frequencies to around ten Hz. In this context, the objective of the study is to propose a methodology based on self-heating to rapidly characterize the fatigue properties of a unidirectional carbon/epoxy laminate subjected to in-plane compression and out-of-plane shear loading. To address this issue, experimental campaigns were conducted to characterize the failure scenarios of laminates under targeted cyclic loadings. The configurations of interest were also subjected to thermomechanical analyses, primarily based on infrared measurements. The analysis strategies developed for processing self-heating tests allow access to the source term associated with energy dissipation. This characterization is complemented by a modeling of the resin’s role in dissipation, thereby establishing the link between its nonlinear viscoelastic behavior and the fatigue response.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".