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Record W4399045170 · doi:10.1080/10618562.2024.2351897

Flow Around a Pile Under Highly Non-linear Waves Using an Unstructured Finite-Volume Technique

2023· article· en· W4399045170 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.

Bibliographic record

VenueInternational journal of computational fluid dynamics · 2023
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsFinite volume methodMechanicsPileVolume (thermodynamics)Flow (mathematics)Volume of fluid methodGeologyPhysicsGeotechnical engineeringThermodynamics

Abstract

fetched live from OpenAlex

This study has coupled a wave generating model with the existing in-house 3D Large Eddy Simulation (LES) hydrodynamic model. The primary focus is to simulate the hydrodynamics around a circular cylinder under non-linear waves. To accurately capture the behaviour of non-linear waves, a relaxation method is implemented on an unstructured grid, and its effectiveness is examined in a numerical wave tank with a vertical cylinder. To validate the accuracy of the proposed model, we compare the simulation results with experimental data, specifically analysing the transmission of the wave surface across the cylinder and examining the phased-averaged pressure distribution. The simulations also consider the shedding of lee-wake vortices, and the results are extensively discussed. Significantly, this paper represents the first known investigation of hydrodynamics under non-linear waves using the large-eddy simulation technique on unstructured grids. This approach opens up new possibilities for studying complex wave-structure interactions with improved accuracy and realism.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.598
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.280
Teacher spread0.265 · 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