Bibliographic record
Abstract
This paper investigates the prediction of the constitutive behavior of textiles subjected to in-plane shear loading, using a particle-based modelling method. Plain weave textiles where the fibers are represented as a series of conjoined particles were modelled using discrete mechanics, as an alternative to traditional continuum mechanics. The configurations of individual fibers were obtained from first principles, using a modified Metropolis algorithm to minimize the strain energy terms. A series of simulations replicating articulated frame in-plane shear tests were performed in order to characterize the in-plane shear behavior of woven textiles. The paper discusses the effects of varying boundary conditions at fiber ends upon the application of a displacement field, and of varying iteration parameters for particle positions towards lower levels of strain energy. Load-displacement curves were derived from the simulations; displacement fields, locking angles and shear stresses were also quantified. The results of simulations and experiments performed on woven textiles subjected to in-plane shear showed good agreement, and improvements in accuracy over other modelling techniques.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 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".