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Record W2559067784 · doi:10.4043/27387-ms

Estimation of Ice Loads Using Mechanics of Ice Failure in Compression

2016· article· en· W2559067784 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueArctic Technology Conference · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsCentre For Cold Ocean Resources EngineeringMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaResearch and Development Corporation of Newfoundland and Labrador
KeywordsGeologyRandomnessCompression (physics)Geotechnical engineeringMechanicsFracture (geology)BrittlenessDamage mechanicsFracture mechanicsGeophysicsMaterials scienceEngineeringStructural engineeringPhysicsFinite element methodMathematicsComposite material

Abstract

fetched live from OpenAlex

Abstract In the calculation of ice loads, reliance is generally placed on analysis of empirical data. The main reason for this is that the complex behaviour of ice under stress makes it difficult to use calculations based on mechanics directly in design. Ice is extremely brittle and prone to fracture, and develops areas of very high compression and confinement during compressive failure, which result in substantial changes in the microstructure and behaviour of the material. These are termed highpressure zones. Progress in the analysis of ice failure using advanced methods of mechanics is reported. This has included studies aimed at understanding the behaviour of high-pressure zones. All work includes analysis of time-dependent effects, essential for a proper analysis of ice failure. The paper includes a discussion of the role of fracture and the development of high-pressure zones. Fracture processes are understood but the randomness of the flaw structure of ice in the field suggests that there is a strong variation in magnitude and position of high-pressure zones. This is supported by observations in the field on vessels operating in ice. The analysis of high-pressure zones is outlined; these produce the high local pressures of great importance in design. As noted, very high pressures occur at the centre of the zones on small areas, of the order of 70 to 100 MPa, accompanied by very high confinement and shear. The response of the ice is profoundly altered under these conditions, as compared to virgin ice. Methods of damage mechanics have been used successfully to analyze the failure of high-pressure zones, and a distinct failure load has been obtained. The methods of mechanics require a non-classical approach that recognizes changes of material behaviour with time. A scaling rule related to the mechanics allows modelling on a smaller scale in the laboratory. Fracture events make the process of interaction highly variable in time. In the view of the writers of the present work, full time domain simulation of the process of interaction is not possible. A reasonable way to move forward is to combine the progress in high-pressure zone analysis with empirical analyses of high-pressure zone areal density and intensity.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.227
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it