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Record W4389482444 · doi:10.61653/joast.v75i2.2023.61

CFD Study on Water Impact of Spent Stage on Floats Using Overset Grid and Volume of Fluid Approach

2023· article· en· W4389482444 on OpenAlexaff
Jatin Jangra, Vishruti Gohel, A. Salih, Vishesh Aggarwal, Pankaj Priyadarshi

Bibliographic record

VenueJournal of Aerospace Sciences and Technologies · 2023
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsAnsys (Canada)
Fundersnot available
KeywordsVolume of fluid methodComputational fluid dynamicsWedge (geometry)SolverMarine engineeringStage (stratigraphy)GridMechanicsEnvironmental scienceComputer scienceSimulationGeologyEngineeringMathematicsBreakupGeometryPhysicsGeodesy

Abstract

fetched live from OpenAlex

A transient multiphase CFD analysis using the VOF method coupled with a 6DOF solver is used to model the water impact of a launch vehicle spent stage with floats. Overset Mesh motion technique was used to model the 6DOF based motion of the body. The stability of the spent stage water impact solution was studied by varying implicit mesh update features. The water impact of spent stage with different diameter floats was also studied. The CFD model is validated for the water impact of a wedge which was available in the literature. The CFD predicted results for the wedge case are within the 5% of the measurement in the prediction of maximum penetration depth.

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)0.000
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: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.206

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 head0.035
GPT teacher head0.303
Teacher spread0.267 · 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 designSimulation or modeling
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

Citations1
Published2023
Admission routes1
Has abstractyes

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