Triaxial Woven Fabric (TWF) Composites with Open Holes (Part II): Verification of the Finite Element Models
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An elaborate finite element formulation was developed for the triaxial woven fabric (TWF) composites and this is presented in a parallel publication [Zhao, Q. and Hoa, S.V. Triaxial Woven Fabric (TWF) Composites With Open Holes (Part I): Finite Element Models For Analysis, Accepted, Journal of Composite Materials, this same issue.]. This paper presents examples using the finite elements developed and experimental work to obtain results for comparison purposes. One example deals with the TWF specimens subjected to loading along an axial yarn direction. The other example deals with other TWF specimens subjected to loading transverse to the axial yarn direction. Effects of the width and length of the sample are examined. Noncontact laser extensometer method is used for the deformation measurement. The significance and meaning of the results are discussed.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.001 | 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 it