Modeling of 3D Angle Interlock Woven Fabric Composites
Why this work is in the frame
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Bibliographic record
Abstract
A three dimensional micromechanical modeling approach was previously developed for predicting elastic constants of 2D woven fabric composites [Sheng, S.Z. and Hoa, S.V. (2001). Three dimensional micromechanical modeling of woven fabric composites. Journal of Composite Materials, 35(19): 1701-1729.]. In this paper, the approach is extended for predicting elastic constants of 3D angle interlock woven fabric composites. The micro fabric geometry of general 3D woven composites is described by using a three dimensional geometric model first. Then a variational potential method is proposed to obtain the continuous integration transformation of the three-dimensional stiffness and compliance matrices associated with the micro fabric geometry for 3D woven fabric composites. Finally, elastic constants are obtained by using the method based on the fabric geometry for several 3D angle interlock woven fabric composites. Good agreement is shown between the present predicted results and experimental results available in the literature.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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 it