Strength and Pressure Profiles of Conical Ice Crushing Experiments
Bibliographic record
Abstract
Experimental procedures for obtaining the crushing strength and pressure profiles of cone shaped ice samples are presented. These experiments were conducted as the part of the STePS2 (Sustainable Technology for Polar Ships and Structures) research project at Memorial University, St. John`s, Canada. An objective of this project is to study the response of a full size structural grillage for both quasi-static and dynamic ice loading. To prepare for the structural tests, both 1/4 m dia. and 1m dia. conical ice samples are being crushed against a rigid high-resolution pressure panel in quasi-static conditions. Data from the tests on the pressure panel will help to set the conditions for the later quasi-static and dynamic experiments on the steel grillage. Contact pressure profiles are obtained at each time step during the experiments. The pressure profiles obtained reveal the shape and variability of the high pressure zones that develop during ice-structure contact. The paper describes the experimental procedure including; making the ice samples, shaping the samples, crushing tests and data analysis. Preliminary experimental data from both small cones (i.e., 25 cm diameter) and large cones (i.e., 1 m diameter) tests are provided in this paper.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".