The optimization of the curing of carbon fibre composite rebar using a heat transfer FEA model
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
A new fiber composite rebar for concrete developed at the University of Ottawa exhibits pseudo-ductility by having an aramid composite overwrap slide at a designated yield stress level. One challenge is how to cure the fibre composite core with respect to the overwrap. In this thesis a Finite Element Analysis model was created to predict how the fibre composite rebar would cure as it passed through the induction heating stage and the furnace stage. Eight processing combinations were evaluated with the FEA model using different induction and furnace heating settings, along with various production speeds. It was discovered that through the combination of induction and furnace heating, the curing could be controlled so that is possible to continuously produce the rebar while controlling the progression of the cure.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it