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Record W4387375462 · doi:10.1080/00221686.2023.2240276

Effect of leading-edge geometry on flow beneath a simulated ice block

2023· article· en· W4387375462 on OpenAlexaff
Baafour Nyantekyi-Kwakye, Tanzim Ahmed, Karen Dow

Bibliographic record

VenueJournal of Hydraulic Research · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsUniversity of ManitobaMemorial University of Newfoundland
Fundersnot available
KeywordsVortexGeologyMechanicsFlow (mathematics)GeometryInstabilityEnhanced Data Rates for GSM EvolutionLeading edgeMeteorologyPhysicsEngineeringMathematics

Abstract

fetched live from OpenAlex

The present article conducted detailed velocity measurements beneath simulated ice blocks with different leading-edge geometries (round, rectangular, upward and downward triangular). The results examined flow separation at the leading-edge, vortex generation, and subsequent vortex propagation. The instantaneous velocity field depicts an unsteady flow dominated by large-scale vortices, with the Kelvin–Helmholtz type instability dominating the shear layer interface. The mode of vortex generation and propagation was influenced by the geometry of the leading edge. These vortices were dominant for the rectangular and upward triangular configurations. Propagation of these vortices creates low-pressure zones beneath the simulated ice block, which can affect the ice block stability. For all ice blocks, the mean flow accelerated, due to flow separation, and this can result in fluctuations in the dynamic pressure field. These events can lead to greater under-turning moments, as well as the interfacial melting of the ice.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.478
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.353
Teacher spread0.291 · 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 teacher head, 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

Citations5
Published2023
Admission routes1
Has abstractyes

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