Fiber-reinforced plastic panel impact testing at MUN
Bibliographic record
Abstract
The following report describes experiments conducted in the Structures Laboratory of the S. J. Carew Building in the Memorial University campus. The experiments were conducted by the National Research Council - Institute for Ocean Technology (NRC-IOT). As the marine industry moves toward frequent operation in ice-covered waters, the capabilities of evacuation craft need to be investigated in order to maintain safe operation in emergency situations. Of particular interest is the capability of fibre reinforced plastic (FRP, fibreglass) lifeboats. The experiments were conducted on a series of fibreglass panels in order to investigate the maximization of strength in the material. Four factors were tested in an attempt to determine their effect on impact energy and applied load. These factors were: 1. Thickness at 10 mm ad 16 mm 2. Temperature at 6º C and 16º C 3. Material with E-glass and E-glass + Aramid 4. Construction method using Hand Layup and Vacuum Bagging The panels varied with these four factors and were tested systematically via hydraulic ram. The preliminary results from these experiments show that the effect of panel thickness was more significant than that of temperature, material and construction. As these results are preliminary however, more testing is required to further explore these factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.012 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".