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Record W4251819049 · doi:10.35940/ijitee.b6499.129219

Wave Induced Motions of Irregular Shaped Ice Mass close to Fixed Structure

2019· article· en· W4251819049 on OpenAlexaff
Faisal Althobiani, Tanvir Sayeed

Bibliographic record

VenueInternational Journal of Innovative Technology and Exploring Engineering · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsGeologyHeading (navigation)KinematicsWavelengthSubmarine pipelineGeodesySea iceMechanicsDrift iceFast icePhysicsArctic ice packClimatologyOceanographyOpticsClassical mechanics

Abstract

fetched live from OpenAlex

Small ice pieces can pose significant threat to offshore platforms located in ice covered waters. Impact load due to iceberg and small ice fragments is important design consideration of such structures. The impact velocity and near vicinity hydrodynamic interaction significantly effects the impact load. In recent studies, Sayeed et al. [19, 20] investigated the hydrodynamic interaction of simple shaped ice masses heading towards a fixed platform in regular waves. It was found that the motions of the approaching ice mass is influenced by the standing wave and the distance to wave length ratio dictates the ice mass motion due to wave impact. In this paper, previous experimental data collected by Sayeed et al. [18] is reanalyzed to examine the wave kinematics of an irregular shaped ice mass heading to a fixed structure. Surge and heave velocities plotted against separation distance / wavelength show similar trends as observed by Sayeed et al. [20]. The stationary wave profile is found to be most influential factor on kinematics of the approaching ice mass

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.017
GPT teacher head0.215
Teacher spread0.198 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueInternational Journal of Innovative Technology and Exploring EngineeringSame topicArctic and Antarctic ice dynamicsFrench-language works237,207