Offline statics tests performed on on-load release mechanisms of davit launched lifeboats
Bibliographic record
Abstract
The capabilities of three on-load release mechanisms were investigated for normal and failure type release operations at the Institute for Ocean Technology. Failures of release mechanisms during maintenance and exercise drills is a well documented occurrence, however, until very recently the possible causes for the failures have only been postulated but never tested in a systematic way. The current study aims at better understanding the operational performance of lifeboat release mechanisms with respect to normal, extreme and failure operational situations. Three twin fall davit on-load release mechanisms were tested in the experimental study. All the release mechanism design types are fully certified by the regulatory bodies. Of the three on-load release mechanisms, two were of older existing design types while the third was of a newer design. Two of the release mechanisms were new and never used outside of this study (one each of older and newer design) and had a loading capacity of 6 tonnes, while the third release mechanisms had been in operation and had a capacity of 3 tonnes. The experiments were conducted in the material testing facility of the Institute for Ocean Technology of the National Research Council of Canada and encompassed the following tests: Inline/offline on-load tests Inline/offline static tests Offline cyclic loading Offline damage release cable Results for the offline on-load tests as well as the offline damage release cable tests will be presented in this report. Thus far all the results from in-line to offline, and from dynamic to static indicate that Hook C appears to have a higher degree of stability than the other two sample hooks.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".